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Big Data Specialization
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[TutsNode.net] - Big Data Specialization (Size: 36.77 GB) (Files: 1317)
[TutsNode.net] - Big Data Specialization
big-data-introduction
02_big-data-why-and-where
01_why-big-data
03_example-saving-lives-with-big-data.mp4
01_what-launched-the-big-data-era.en.txt
04_example-using-big-data-to-help-patients.mp4
02_applications-what-makes-big-data-valuable.mp4
04_example-using-big-data-to-help-patients.en.srt
02_applications-what-makes-big-data-valuable.en.srt
05_a-sentiment-analysis-success-story-meltwater-helping-danone.en.srt
05_a-sentiment-analysis-success-story-meltwater-helping-danone.en.txt
06_did-you-know-25-facts-about-big-data_instructions.html
07_slides-what-launched-the-big-data-era_instructions.html
08_slides-applications-what-makes-big-data-valuable_instructions.html
09_slides-saving-lives-with-big-data_instructions.html
10_slides-using-big-data-to-help-patients_instructions.html
04_example-using-big-data-to-help-patients.en.txt
02_applications-what-makes-big-data-valuable.en.txt
03_example-saving-lives-with-big-data.en.srt
03_example-saving-lives-with-big-data.en.txt
01_what-launched-the-big-data-era.en.srt
07_slides-what-launched-the-big-data-era_WhatLaunchedTheBigDataEra-Altintas-Final.pdf
09_slides-saving-lives-with-big-data_WIFIRE-Altintas-Final.pdf
01_what-launched-the-big-data-era.mp4
10_slides-using-big-data-to-help-patients_Precision-Medicine-Gupta-FinalBM2_1_1.pdf
08_slides-applications-what-makes-big-data-valuable_Applications-Altintas-Final.pdf
05_a-sentiment-analysis-success-story-meltwater-helping-danone.mp4
03_check-your-knowledge
02_extra-resources_instructions.html
01_why-big-data-and-where-did-it-come-from_exam.html
04_supplementary-resources-slides
02_slides-machine-generated-data-advantages_MachineGeneratedData-Part2-Altintas-Final.pdf
06_slides-organizaton-generated-big-data-benefits_OrganizationGeneratedData-Part2-Altintas-Final.pdf
01_slides-machine-generated-data-its-everywhere-and-theres-a-lot_MachineGeneratedData-Part1-Altintas-Final.pdf
02_slides-machine-generated-data-advantages_instructions.html
03_slides-big-data-generated-by-people-the-unstructured-challenge_instructions.html
04_slides-big-data-generated-by-people-how-is-it-being-used_instructions.html
05_slides-organization-generated-big-data-structured-but-often-siloed_instructions.html
06_slides-organizaton-generated-big-data-benefits_instructions.html
07_slides-the-key-integrating-diverse-data_instructions.html
05_slides-organization-generated-big-data-structured-but-often-siloed_OrganizationGeneratedData-Part1-Altintas-Final.pdf
01_slides-machine-generated-data-its-everywhere-and-theres-a-lot_instructions.html
04_slides-big-data-generated-by-people-how-is-it-being-used_PeopleGeneratedData-Part2-Altintas-Final.pdf
03_slides-big-data-generated-by-people-the-unstructured-challenge_PeopleGeneratedData-Part1-Altintas-Final.pdf
07_slides-the-key-integrating-diverse-data_TheKeyIsIntegratingDiverseData-Altintas-Final.pdf
02_big-data-where-does-it-come-from
05_big-data-generated-by-people-how-is-it-being-used.mp4
05_big-data-generated-by-people-how-is-it-being-used.en.srt
02_machine-generated-data-its-everywhere-and-theres-a-lot_MachineGeneratedData-Part1-Altintas-Final.pdf
01_getting-started-where-does-big-data-come-from.en.srt
01_getting-started-where-does-big-data-come-from.en.txt
02_machine-generated-data-its-everywhere-and-theres-a-lot.en.txt
07_organization-generated-data-benefits-come-from-combining-with-other-data-types.en.txt
06_organization-generated-data-structured-but-often-siloed.en.srt
05_big-data-generated-by-people-how-is-it-being-used.en.txt
08_the-key-integrating-diverse-data.en.srt
04_big-data-generated-by-people-the-unstructured-challenge.en.srt
06_organization-generated-data-structured-but-often-siloed.en.txt
03_machine-generated-data-advantages.en.srt
07_organization-generated-data-benefits-come-from-combining-with-other-data-types.en.srt
02_machine-generated-data-its-everywhere-and-theres-a-lot.en.srt
08_the-key-integrating-diverse-data.en.txt
04_big-data-generated-by-people-the-unstructured-challenge.en.txt
03_machine-generated-data-advantages.en.txt
06_organization-generated-data-structured-but-often-siloed.mp4
08_the-key-integrating-diverse-data.mp4
04_big-data-generated-by-people-the-unstructured-challenge.mp4
03_machine-generated-data-advantages.mp4
07_organization-generated-data-benefits-come-from-combining-with-other-data-types.mp4
02_machine-generated-data-its-everywhere-and-theres-a-lot.mp4
01_getting-started-where-does-big-data-come-from.mp4
06_systems-getting-started-with-hadoop
03_hands-on-downloading-and-installing-hadoop
01_downloading-and-installing-the-cloudera-vm-instructions-mac_cloudera-quickstart-vm-5.4.2-0-virtualbox.zi
02_downloading-and-installing-the-cloudera-vm-instructions-windows_cloudera-quickstart-vm-5.4.2-0-virtualbo
02_downloading-and-installing-the-cloudera-vm-instructions-windows_instructions.html
03_faq_instructions.html
01_downloading-and-installing-the-cloudera-vm-instructions-mac_instructions.html
01_getting-started-with-hadoop
11_slides-for-getting-started-with-hadoop_CloudServiceModels.pdf
11_slides-for-getting-started-with-hadoop_HDFS.pdf
02_the-hadoop-ecosystem-welcome-to-the-zoo.en.srt
05_mapreduce-simple-programming-for-big-results.mp4
11_slides-for-getting-started-with-hadoop_CloudComputing.pdf
11_slides-for-getting-started-with-hadoop_HadoopEcosystem.pdf
06_mapreduce-in-the-pasta-sauce-example_instructions.html
11_slides-for-getting-started-with-hadoop_Yarn.pdf
05_mapreduce-simple-programming-for-big-results.en.srt
11_slides-for-getting-started-with-hadoop_PreBuiltHadoopImages.pdf
11_slides-for-getting-started-with-hadoop_MapReduce.pdf
11_slides-for-getting-started-with-hadoop_When2ReconsiderHadoop.pdf
01_hadoop-why-where-and-who.en.txt
11_slides-for-getting-started-with-hadoop_WhyHadoop.pdf
08_cloud-computing-an-important-big-data-enabler.en.srt
05_mapreduce-simple-programming-for-big-results.en.txt
03_the-hadoop-distributed-file-system-a-storage-system-for-big-data.en.srt
10_value-from-hadoop-and-pre-built-hadoop-images.en.txt
11_slides-for-getting-started-with-hadoop_instructions.html
04_yarn-a-resource-manager-for-hadoop.en.srt
07_when-to-reconsider-hadoop.en.srt
08_cloud-computing-an-important-big-data-enabler.en.txt
09_cloud-service-models-an-exploration-of-choices.en.srt
02_the-hadoop-ecosystem-welcome-to-the-zoo.en.txt
10_value-from-hadoop-and-pre-built-hadoop-images.en.srt
03_the-hadoop-distributed-file-system-a-storage-system-for-big-data.en.txt
01_hadoop-why-where-and-who.en.srt
04_yarn-a-resource-manager-for-hadoop.en.txt
07_when-to-reconsider-hadoop.en.txt
09_cloud-service-models-an-exploration-of-choices.en.txt
02_the-hadoop-ecosystem-welcome-to-the-zoo.mp4
03_the-hadoop-distributed-file-system-a-storage-system-for-big-data.mp4
08_cloud-computing-an-important-big-data-enabler.mp4
07_when-to-reconsider-hadoop.mp4
04_yarn-a-resource-manager-for-hadoop.mp4
10_value-from-hadoop-and-pre-built-hadoop-images.mp4
09_cloud-service-models-an-exploration-of-choices.mp4
01_hadoop-why-where-and-who.mp4
04_hands-on-running-your-first-application-on-hadoop
03_run-the-wordcount-program-instructions_instructions.html
01_copy-your-data-into-the-hadoop-distributed-file-system-hdfs-instructions_instructions.html
02_copy-your-data-into-the-hadoop-distributed-file-system-hdfs.en.txt
04_run-the-wordcount-program.en.srt
02_copy-your-data-into-the-hadoop-distributed-file-system-hdfs.en.srt
04_run-the-wordcount-program.en.txt
04_run-the-wordcount-program.mp4
02_copy-your-data-into-the-hadoop-distributed-file-system-hdfs.mp4
01_copy-your-data-into-the-hadoop-distributed-file-system-hdfs-instructions_t8.shakespeare.txt
06_hands-on-optional-materials
01_how-do-i-figure-out-how-to-run-hadoop-mapreduce-programs_instructions.html
02_check-your-knowledge
01_intro-to-hadoop_exam.html
02_understand-by-doing-mapreduce_peer_assignment_instructions.html
05_hands-on-check-your-knowledge
01_running-hadoop-mapreduce-programs-quiz_exam.html
05_foundations-for-big-data-systems-and-programming
03_supplementary-resources-slides
03_slides-scalable-computing-over-the-internet_ScalableComputingOverTheInternet-Altintas.pdf
01_slides-getting-started-why-worry-about-foundations_GettingStarted-WhyDoYouNeedFoundations-Altintas.pdf
01_slides-getting-started-why-worry-about-foundations_instructions.html
02_slides-what-is-a-distributed-file-system_instructions.html
03_slides-scalable-computing-over-the-internet_instructions.html
04_slides-programming-models-for-big-data_instructions.html
02_slides-what-is-a-distributed-file-system_WhatIsADistributedFileSystem-Altintas.pdf
04_slides-programming-models-for-big-data_4.ProgrammingModelsForBigData-Altintas-FINAL.pdf
01_basic-scalable-computing-concepts
03_scalable-computing-over-the-internet.en.txt
04_programming-models-for-big-data.en.srt
01_getting-started-why-worry-about-foundations.en.srt
01_getting-started-why-worry-about-foundations.en.txt
02_what-is-a-distributed-file-system.en.srt
04_programming-models-for-big-data.en.txt
02_what-is-a-distributed-file-system.en.txt
03_scalable-computing-over-the-internet.en.srt
04_programming-models-for-big-data.mp4
02_what-is-a-distributed-file-system.mp4
03_scalable-computing-over-the-internet.mp4
01_getting-started-why-worry-about-foundations.mp4
02_check-your-knowledge
01_foundations-for-big-data_exam.html
01_welcome
02_getting-to-know-you
01_tell-us-about-yourself-and-learn-about-your-classmates.en.srt
01_tell-us-about-yourself-and-learn-about-your-classmates.en.txt
01_tell-us-about-yourself-and-learn-about-your-classmates.mp4
01_getting-to-know-us
01_welcome-to-the-big-data-specialization.en.srt
03_optional-watch-this-fun-video-about-the-san-diego-supercomputer-center_instructions.html
01_welcome-to-the-big-data-specialization.en.txt
02_by-the-end-of-this-course-you-will-be-able-to_instructions.html
01_welcome-to-the-big-data-specialization.mp4
04_data-science-getting-value-out-of-big-data
04_supplementary-resources-slides
03_slides-the-five-p-s-of-data-science_1B.5PsOfDataScience-Altintas.pdf
11_slides-step-5-turning-insights-into-action_9.Step6-TurningInsightsIntoAction-Altintas.pdf
01_slides-getting-value-out-of-big-data_0A.DataScience-GettingValueOutOfBigData-Altintas.pdf
05_slides-steps-in-the-data-science-process_3.IntroducingThe6StepProcess-Altintas.pdf
02_slides-building-a-big-data-strategy_1A.BuildingABigDataStrategy-Altintas.pdf
10_slides-step-4-communicating-results_8.Step4-ReportingInsights-Altintas.pdf
07_slides-step-2a-exploring-data_5.Step2A-ExploringData-Altintas.pdf
08_slides-step-2b-preprocessing-data_6.Step2B-PreprocessingData-Altintas.pdf
01_slides-getting-value-out-of-big-data_instructions.html
02_slides-building-a-big-data-strategy_instructions.html
03_slides-the-five-p-s-of-data-science_instructions.html
04_slides-asking-the-right-questions_instructions.html
05_slides-steps-in-the-data-science-process_instructions.html
06_slides-step-1-acquiring-data_instructions.html
07_slides-step-2a-exploring-data_instructions.html
08_slides-step-2b-preprocessing-data_instructions.html
09_slides-step-3-data-analysis_instructions.html
10_slides-step-4-communicating-results_instructions.html
11_slides-step-5-turning-insights-into-action_instructions.html
04_slides-asking-the-right-questions_2.AskingTheRightQuestion-Altintas.pdf
06_slides-step-1-acquiring-data_4.Step1-AccessingAndRetrievingData-Altintas.pdf
09_slides-step-3-data-analysis_7.Step3-DataAnalysis-Altintas.pdf
01_defining-the-question
03_how-does-big-data-science-happen-five-components-of-data-science.mp4
02_building-a-big-data-strategy.mp4
03_how-does-big-data-science-happen-five-components-of-data-science.en.srt
02_building-a-big-data-strategy.en.srt
05_asking-the-right-questions.en.srt
05_asking-the-right-questions.en.txt
03_how-does-big-data-science-happen-five-components-of-data-science.en.txt
02_building-a-big-data-strategy.en.txt
01_data-science-getting-value-out-of-big-data.en.srt
04_five-p-s-of-data-science_instructions.html
01_data-science-getting-value-out-of-big-data.en.txt
01_data-science-getting-value-out-of-big-data.mp4
05_asking-the-right-questions.mp4
02_the-process-of-data-analysis
05_step-3-analyzing-data.en.srt
04_step-2-b-pre-processing-data.en.srt
01_steps-in-the-data-science-process.en.txt
03_step-2-a-exploring-data.en.txt
06_step-4-communicating-results.en.txt
07_step-5-turning-insights-into-action.en.txt
05_step-3-analyzing-data.en.txt
02_step-1-acquiring-data.en.srt
04_step-2-b-pre-processing-data.en.txt
06_step-4-communicating-results.en.srt
03_step-2-a-exploring-data.en.srt
02_step-1-acquiring-data.en.txt
01_steps-in-the-data-science-process.en.srt
07_step-5-turning-insights-into-action.en.srt
05_step-3-analyzing-data.mp4
04_step-2-b-pre-processing-data.mp4
02_step-1-acquiring-data.mp4
01_steps-in-the-data-science-process.mp4
06_step-4-communicating-results.mp4
03_step-2-a-exploring-data.mp4
07_step-5-turning-insights-into-action.mp4
03_check-your-knowledge
01_data-science-101_exam.html
03_characteristics-of-big-data-and-dimensions-of-scalability
03_supplementary-resources-slides
05_slides-characteristics-of-big-data-veracity_Veracity-Altintas-Final.pdf
07_slides-characteristics-of-big-data-valence_Scalability-Valence.pdf
06_slides-characteristics-of-big-data-value_Value-Altintas-Final.pdf
02_slides-characteristics-of-big-data-volume_instructions.html
03_slides-characteristics-of-big-data-variety_instructions.html
04_slides-characteristics-of-big-data-velocity_instructions.html
05_slides-characteristics-of-big-data-veracity_instructions.html
06_slides-characteristics-of-big-data-value_instructions.html
07_slides-characteristics-of-big-data-valence_instructions.html
01_slides-getting-started-characteristics-of-big-data_instructions.html
04_slides-characteristics-of-big-data-velocity_Velocity-Altintas-Final.pdf
01_slides-getting-started-characteristics-of-big-data_CharacteristicsOfBigData-Altintas-Final.pdf
02_slides-characteristics-of-big-data-volume_Volume-Altintas-Final.pdf
03_slides-characteristics-of-big-data-variety_Scalability-Variety.pdf
01_characteristics-of-big-data
05_characteristics-of-big-data-velocity.en.srt
06_characteristics-of-big-data-veracity.en.srt
04_characteristics-of-big-data-variety.en.srt
03_what-does-astronomical-scale-mean_instructions.html
07_characteristics-of-big-data-valence.en.txt
08_the-sixth-v-value.en.txt
02_characteristics-of-big-data-volume.en.srt
05_characteristics-of-big-data-velocity.en.txt
08_the-sixth-v-value.en.srt
09_a-small-definition-of-big-data_instructions.html
06_characteristics-of-big-data-veracity.en.txt
04_characteristics-of-big-data-variety.en.txt
02_characteristics-of-big-data-volume.en.txt
01_getting-started-characteristics-of-big-data.en.srt
07_characteristics-of-big-data-valence.en.srt
01_getting-started-characteristics-of-big-data.en.txt
05_characteristics-of-big-data-velocity.mp4
04_characteristics-of-big-data-variety.mp4
02_characteristics-of-big-data-volume.mp4
06_characteristics-of-big-data-veracity.mp4
08_the-sixth-v-value.mp4
07_characteristics-of-big-data-valence.mp4
01_getting-started-characteristics-of-big-data.mp4
02_check-your-knowledge
01_v-for-the-v-s-of-big-data_exam.html
big-data-integration-processing
01_welcome-to-big-data-integration-and-processing
02_hands-on-setting-up-your-software-environment
01_downloading-and-installing-the-cloudera-vm-instructions-windows_cloudera-quickst
02_downloading-and-installing-the-cloudera-vm-instructions-mac_cloudera-quickstart-
01_downloading-and-installing-the-cloudera-vm-instructions-windows_instructions.htm
05_instructions-for-starting-jupyter_instructions.html
04_instructions-for-downloading-hands-on-datasets_instructions.html
03_software-installation-frequently-asked-questions-faq_instructions.html
02_downloading-and-installing-the-cloudera-vm-instructions-mac_instructions.html
01_why-big-data-integration-and-processing
04_slides-summary-why-is-big-data-processing-different_WhyIsBigDataProcessingDifferent.pd
01_what-is-in-this-course.en.txt
04_slides-summary-why-is-big-data-processing-different_instructions.html
04_slides-summary-why-is-big-data-processing-different_SummaryOfBigDataModelingAndManagem
03_why-is-big-data-processing-different.en.srt
02_summary-of-big-data-modeling-and-management.en.srt
03_why-is-big-data-processing-different.en.txt
02_summary-of-big-data-modeling-and-management.en.txt
01_what-is-in-this-course.en.srt
03_why-is-big-data-processing-different.mp4
01_what-is-in-this-course.mp4
02_summary-of-big-data-modeling-and-management.mp4
03_retrieving-big-data-part-2
01_querying-data-part-2
04_slides-querying-data-part-2_Aggregation_Functions_and_Querying_Aerospike.pdf
01_querying-json-data-with-mongodb.en.srt
02_aggregation-functions.en.srt
01_querying-json-data-with-mongodb.mp4
04_slides-querying-data-part-2_instructions.html
01_querying-json-data-with-mongodb.en.txt
03_querying-aerospike.en.srt
04_slides-querying-data-part-2_Querying_Data_Part_2.pdf
02_aggregation-functions.en.txt
03_querying-aerospike.en.txt
02_aggregation-functions.mp4
03_querying-aerospike.mp4
02_hands-on
03_exploring-pandas-dataframes_api.html
01_querying-documents-in-mongodb_instructions.html
04_exploring-pandas-dataframes.en.txt
03_exploring-pandas-dataframes_instructions.html
02_querying-documents-in-mongodb.en.srt
04_exploring-pandas-dataframes.en.srt
02_querying-documents-in-mongodb.en.txt
02_querying-documents-in-mongodb.mp4
04_exploring-pandas-dataframes.mp4
06_big-data-analytics-using-spark
01_programming-in-spark
04_slides-for-module-5-lesson-1_SparkCORE-Actions.pdf
04_slides-for-module-5-lesson-1_SparkCORE-ProgrammingInSpark.pdf
02_spark-core-transformations.mp4
02_spark-core-transformations.en.srt
03_spark-core-actions.en.srt
03_spark-core-actions.en.txt
04_slides-for-module-5-lesson-1_instructions.html
04_slides-for-module-5-lesson-1_SparkCORE-Transformations.pdf
02_spark-core-transformations.en.txt
01_spark-core-programming-in-spark-using-rdds-in-pipelines.en.srt
01_spark-core-programming-in-spark-using-rdds-in-pipelines.en.txt
01_spark-core-programming-in-spark-using-rdds-in-pipelines.mp4
03_spark-core-actions.mp4
02_main-modules-in-the-spark-ecosystem
05_slides-for-module-5-lesson-2_SparkSQL.pdf
05_slides-for-module-5-lesson-2_SparkMLLib.pdf
02_spark-streaming.en.txt
05_slides-for-module-5-lesson-2_SparkStreaming.pdf
05_slides-for-module-5-lesson-2_SparkGraphX.pdf
01_spark-sql.en.srt
01_spark-sql.en.txt
04_spark-graphx.en.srt
04_spark-graphx.en.txt
05_slides-for-module-5-lesson-2_instructions.html
03_spark-mllib.en.srt
03_spark-mllib.en.txt
02_spark-streaming.en.srt
03_spark-mllib.mp4
02_spark-streaming.mp4
04_spark-graphx.mp4
01_spark-sql.mp4
03_hands-on-data-processing-in-spark
05_analyzing-sensor-data-with-spark-streaming.en.txt
04_analyzing-sensor-data-with-spark-streaming_instructions.html
02_exploring-sparksql-and-spark-dataframes.en.txt
01_exploring-sparksql-and-spark-dataframes_instructions.html
03_instructions-for-configuring-virtualbox-for-spark-streaming_instructions.html
05_analyzing-sensor-data-with-spark-streaming.en.srt
02_exploring-sparksql-and-spark-dataframes.en.srt
05_analyzing-sensor-data-with-spark-streaming.mp4
02_exploring-sparksql-and-spark-dataframes.mp4
05_processing-big-data
01_big-data-pipelines-and-high-level-operations-for-big-data-processing
04_typical-analytical-operations-in-big-data-pipelines.en.srt
05_big-data-processing-pipelines-slides_BigDataProcessingPipelines.pdf
05_big-data-processing-pipelines-slides_Aggregation_Operations_in_Big_Data_Pipelines.pd
04_typical-analytical-operations-in-big-data-pipelines.mp4
05_big-data-processing-pipelines-slides_Some_High-Level_Processing_Operations_in_Big_Da
05_big-data-processing-pipelines-slides_instructions.html
02_some-high-level-processing-operations-in-big-data-pipelines.mp4
02_some-high-level-processing-operations-in-big-data-pipelines.en.srt
04_typical-analytical-operations-in-big-data-pipelines.en.txt
01_big-data-processing-pipelines.en.srt
02_some-high-level-processing-operations-in-big-data-pipelines.en.txt
03_aggregation-operations-in-big-data-pipelines.en.srt
01_big-data-processing-pipelines.en.txt
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01_big-data-processing-pipelines.mp4
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05_big-data-processing-pipelines-slides_Typical_Analytical_Operations.pdf
02_big-data-processing-tools-and-systems
06_slides-for-big-data-processing-tools-and-systems_GettingStartedWithSpark.pdf
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05_getting-started-with-spark.mp4
06_slides-for-big-data-processing-tools-and-systems_instructions.html
05_getting-started-with-spark.en.srt
03_the-integration-and-processing-layer.mp4
03_the-integration-and-processing-layer.en.srt
04_introduction-to-apache-spark.en.srt
01_overview-of-big-data-processing-systems.en.srt
04_introduction-to-apache-spark.mp4
06_slides-for-big-data-processing-tools-and-systems_IntroductionToApacheSpark.pdf
03_the-integration-and-processing-layer.en.txt
04_introduction-to-apache-spark.en.txt
01_overview-of-big-data-processing-systems.en.txt
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01_overview-of-big-data-processing-systems.mp4
03_hands-on-lets-try-spark
01_wordcount-in-spark_Spark_WordCount.ipynb
02_wordcount-in-spark.en.srt
01_wordcount-in-spark_instructions.html
02_wordcount-in-spark.en.txt
02_wordcount-in-spark.mp4
04_big-data-integration
01_information-integration
01_overview-of-information-integration.en.srt
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02_a-data-integration-scenario.mp4
02_a-data-integration-scenario.en.srt
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04_slides-information-integration_instructions.html
03_integration-for-multichannel-customer-analytics.en.srt
03_integration-for-multichannel-customer-analytics.en.txt
03_integration-for-multichannel-customer-analytics.mp4
04_slides-information-integration_InformationIntegration.pdf
02_industry-examples-for-big-data-integration-and-processing
04_big-data-management-and-processing-using-datameer.en.srt
02_why-splunk.mp4
03_connected-cars-with-fords-openxc-and-splunk.mp4
01_big-data-management-and-processing-using-splunk-and-datameer.en.txt
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03_connected-cars-with-fords-openxc-and-splunk.en.txt
04_big-data-management-and-processing-using-datameer.mp4
03_connected-cars-with-fords-openxc-and-splunk.en.srt
02_why-splunk.en.srt
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01_big-data-management-and-processing-using-splunk-and-datameer.mp4
03_hands-on-big-data-management-and-processing-using-splunk
06_optional-instructions-for-splunk-pivot-tutorial_instructions.html
07_optional-creating-pivot-reports-in-splunk.en.srt
02_installing-splunk-enterprise-on-windows.en.txt
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05_exploring-splunk-queries.en.txt
04_exploring-splunk-queries_census.zip
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01_downloading-splunk-enterprise_instructions.html
07_optional-creating-pivot-reports-in-splunk.en.txt
03_installing-splunk-enterprise-on-linux.en.srt
05_exploring-splunk-queries.en.srt
02_installing-splunk-enterprise-on-windows.en.srt
03_installing-splunk-enterprise-on-linux.mp4
05_exploring-splunk-queries.mp4
07_optional-creating-pivot-reports-in-splunk.mp4
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02_retrieving-big-data-part-1
02_hands-on
01_querying-relational-data-with-postgres_functions-aggregate.html
01_querying-relational-data-with-postgres_instructions.html
02_querying-relational-data-with-postgres.en.srt
02_querying-relational-data-with-postgres.en.txt
02_querying-relational-data-with-postgres.mp4
01_querying-data-part-1
05_slides-what-is-data-retrieval_instructions.html
01_what-is-data-retrieval-part-1.en.srt
01_what-is-data-retrieval-part-1.en.txt
02_what-is-data-retrieval-part-2.en.srt
01_what-is-data-retrieval-part-1.mp4
03_querying-two-relations.en.srt
04_subqueries.en.srt
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02_what-is-data-retrieval-part-2.en.txt
03_querying-two-relations.en.txt
04_subqueries.en.txt
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05_slides-what-is-data-retrieval_What-is-Data-Retrieval.pdf
07_learn-by-doing-putting-mongodb-and-spark-to-work
02_assignment-analysis-using-spark
01_analyzing-tweets-about-countries_instructions.html
01_analyzing-tweets-about-countries_setupWeek3.sh
01_assignment-querying-and-exporting-from-mongodb
01_lets-analyze-soccer-tweets_instructions.html
02_expressing-analytical-questions-as-mongodb-queries_instructions.html
03_exporting-data-from-mongodb-to-a-csv-file_instructions.html
big-data-management
02_big-data-modeling
04_hands-on
05_exploring-the-array-data-model-of-an-image_ExploringtheArrayDataModelofanImage.pdf
07_exploring-sensor-data_instructions.html
05_exploring-the-array-data-model-of-an-image_instructions.html
01_exploring-the-relational-data-model-of-comma-separated-values-csv_ExploringtheRelationalDataModelofCSV.pdf
01_exploring-the-relational-data-model-of-comma-separated-values-csv_instructions.html
07_exploring-sensor-data_ExploringSensorData.pdf
03_exploring-the-semistructured-data-model-of-json-data_instructions.html
03_exploring-the-semistructured-data-model-of-json-data_ExploringtheSemistructuredDataModelofJSONdata.pdf
08_exploring-sensor-data.en.srt
02_exploring-the-relational-data-model-of-csv-files.en.srt
06_exploring-the-array-data-model-of-an-image.en.srt
04_exploring-the-semistructured-data-model-of-json-data.en.srt
08_exploring-sensor-data.en.txt
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06_exploring-the-array-data-model-of-an-image.en.txt
04_exploring-the-semistructured-data-model-of-json-data.en.txt
08_exploring-sensor-data.mp4
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04_exploring-the-semistructured-data-model-of-json-data.mp4
06_exploring-the-array-data-model-of-an-image.mp4
03_different-kinds-of-data-models-part-1
04_slides-what-is-a-semistructured-data-model_SemistructuredDataModel.pdf
01_what-is-a-relational-data-model.mp4
01_what-is-a-relational-data-model.en.srt
03_what-is-a-semistructured-data-model.en.srt
01_what-is-a-relational-data-model_RelationalDataModels.pdf
02_slides-what-is-a-relational-data-model_RelationalDataModels.pdf
01_what-is-a-relational-data-model.en.txt
03_what-is-a-semistructured-data-model.en.txt
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02_slides-what-is-a-relational-data-model_instructions.html
03_what-is-a-semistructured-data-model.mp4
02_hands-on
01_introduction-to-csv-data_instructions.html
02_introduction-to-csv-data.en.srt
02_introduction-to-csv-data.en.txt
02_introduction-to-csv-data.mp4
01_what-is-a-data-model
05_slides-what-is-a-data-model_WhatIsADataModel.pdf
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03_data-model-operations.en.srt
04_data-model-constraints.en.txt
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03_data-model-operations.en.txt
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05_slides-what-is-a-data-model_instructions.html
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03_why-is-streaming-data-different.en.srt
06_slides-understanding-data-lakes_UnderstandingDataLakes.pdf
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01_what-is-a-data-stream.en.srt
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03_why-is-streaming-data-different.en.txt
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04_exploring-streaming-twitter-data-optional_instructions.html
01_exploring-streaming-sensor-data_instructions.html
03_instructions-for-creating-a-twitter-app-optional_InstructionsforSettingUp_TwitterApp.pdf
02_exploring-streaming-sensor-data.en.srt
05_exploring-streaming-twitter-data-optional.en.srt
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01_data-models-vs-data-formats
02_slides-data-model-vs-data-format_DataModelvsDataFormat.pdf
01_data-model-vs-data-format.en.srt
01_data-model-vs-data-format.en.txt
02_slides-data-model-vs-data-format_instructions.html
01_data-model-vs-data-format.mp4
03_big-data-modeling-part-2
02_hands-on
01_exploring-vector-data-models-with-lucene_instructions.html
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03_exploring-graph-data-models-with-gephi_diseaseGraph.csv
02_exploring-the-lucene-search-engines-vector-data-model.en.srt
04_exploring-graph-data-models-with-gephi.en.srt
02_exploring-the-lucene-search-engines-vector-data-model.en.txt
04_exploring-graph-data-models-with-gephi.en.txt
02_exploring-the-lucene-search-engines-vector-data-model.mp4
03_exploring-graph-data-models-with-gephi_instructions.html
01_different-kinds-of-data-models-part-2
06_slides-other-data-models_OtherDataModels.pdf
03_graph-data-model.en.txt
01_vector-space-model.mp4
02_slides-vector-space-model_VectorSpaceModel.pdf
01_vector-space-model.en.srt
03_graph-data-model.en.srt
01_vector-space-model.en.txt
05_other-data-models.en.srt
05_other-data-models.en.txt
02_slides-vector-space-model_instructions.html
06_slides-other-data-models_instructions.html
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04_slides-graph-data-model_GraphDataModel.pdf
01_introduction-to-big-data-modeling-and-management
01_what-is-in-this-course
02_why-is-this-a-new-course-in-the-big-data-specialization.en.txt
02_why-is-this-a-new-course-in-the-big-data-specialization.en.srt
01_welcome-to-big-data-modeling-and-management.mp4
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04_hands-on
01_downloading-and-installing-the-cloudera-vm-instructions-windows_cloudera-quickstart-vm-5.4.2-0-virtualbox.zip
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03_real-big-data-management-applications
02_slides-energy-data-management-challenges-at-coned_ConEdExample.pdf
04_flight-data-management-at-flightstats-a-lecture-by-cto-chad-berkley.en.srt
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03_gaming-industry-data-management-q-a-with-apmetrix-cto-mark-caldwell.en.txt
01_energy-data-management-challenges-at-coned.en.srt
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02_slides-energy-data-management-challenges-at-coned_instructions.html
05_slides-flight-data-management-at-flightstats_instructions.html
01_energy-data-management-challenges-at-coned.mp4
02_why-big-data-modeling-and-management
06_data-ingestion.en.txt
04_slides-summary-of-introduction-to-big-data_SummaryOfIntroductionToBigData.pdf
06_data-ingestion.en.srt
05_big-data-management-must-ask-questions.en.txt
01_summary-of-introduction-to-big-data-part-1.en.srt
03_summary-of-introduction-to-big-data-part-3.en.srt
02_summary-of-introduction-to-big-data-part-2.en.srt
09_data-operations.en.srt
07_data-storage.en.srt
01_summary-of-introduction-to-big-data-part-1.en.txt
03_summary-of-introduction-to-big-data-part-3.en.txt
02_summary-of-introduction-to-big-data-part-2.en.txt
10_data-scalability-and-security.en.srt
08_data-quality.en.srt
04_slides-summary-of-introduction-to-big-data_instructions.html
05_big-data-management-must-ask-questions.en.srt
09_data-operations.en.txt
07_data-storage.en.txt
08_data-quality.en.txt
10_data-scalability-and-security.en.txt
11_slides-big-data-management_instructions.html
12_reading-on-storage-systems_instructions.html
03_summary-of-introduction-to-big-data-part-3.mp4
01_summary-of-introduction-to-big-data-part-1.mp4
06_data-ingestion.mp4
02_summary-of-introduction-to-big-data-part-2.mp4
07_data-storage.mp4
09_data-operations.mp4
10_data-scalability-and-security.mp4
08_data-quality.mp4
11_slides-big-data-management_BigDataManagement.pdf
05_big-data-management-must-ask-questions.mp4
05_big-data-management-the-m-in-dbms
01_why-data-management
01_dbms-based-and-non-dbms-based-approaches-to-big-data.en.srt
02_slides-dbms-based-and-non-dbms-based-approaches-to-big-data_TheMinDBMS.pdf
01_dbms-based-and-non-dbms-based-approaches-to-big-data.mp4
01_dbms-based-and-non-dbms-based-approaches-to-big-data.en.txt
02_slides-dbms-based-and-non-dbms-based-approaches-to-big-data_instructions.html
02_from-dbms-to-bdms
06_relational-data-vertica.mp4
01_from-dbms-to-bdms.en.srt
06_relational-data-vertica.en.srt
05_solr-managing-text.en.srt
01_from-dbms-to-bdms.mp4
03_aerospike-a-new-generation-kv-store.en.srt
05_solr-managing-text.mp4
02_redis-an-enhanced-key-value-store.en.srt
04_semistructured-data-asterixdb.en.srt
01_from-dbms-to-bdms.en.txt
06_relational-data-vertica.en.txt
05_solr-managing-text.en.txt
03_aerospike-a-new-generation-kv-store.en.txt
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07_slides-from-dbms-to-bdms_FromDBMSToBDMS.pdf
06_designing-a-big-data-management-system-for-an-online-game
01_what-is-an-information-system
01_a-game-by-eglence-inc-catch-the-pink-flamingo_instructions.html
big-data-graph-analytics
01_welcome-to-graph-analytics
01_instructor-welcome
01_welcome-to-graph-analytics-for-big-data.en.txt
01_welcome-to-graph-analytics-for-big-data.en.srt
01_welcome-to-graph-analytics-for-big-data.mp4
02_introduction-to-graphs
01_lesson-1-what-is-a-graph
01_what-to-learn-in-this-module_instructions.html
03_why-graphs.en.txt
02_what-is-a-graph.en.srt
02_what-is-a-graph.en.txt
03_why-graphs.en.srt
02_what-is-a-graph.mp4
03_why-graphs.mp4
02_big-data-graphs-in-the-real-world
02_why-graphs-example-2-biological-networks.en.txt
03_why-graphs-example-3-human-information-network-analytics.en.txt
05_the-purpose-of-analytics.en.srt
05_the-purpose-of-analytics.en.txt
06_what-are-the-impact-of-big-datas-v-s-on-graphs.mp4
06_what-are-the-impact-of-big-datas-v-s-on-graphs.en.srt
06_what-are-the-impact-of-big-datas-v-s-on-graphs.en.txt
04_why-graphs-example-4-smart-cities.en.srt
01_why-graphs-example-1-social-networking.en.srt
03_why-graphs-example-3-human-information-network-analytics.en.srt
02_why-graphs-example-2-biological-networks.en.srt
04_why-graphs-example-4-smart-cities.en.txt
01_why-graphs-example-1-social-networking.en.txt
03_why-graphs-example-3-human-information-network-analytics.mp4
02_why-graphs-example-2-biological-networks.mp4
01_why-graphs-example-1-social-networking.mp4
04_why-graphs-example-4-smart-cities.mp4
05_the-purpose-of-analytics.mp4
03_check-your-knowledge-introduction-to-graphs
01_download-slides-for-this-module_all_module_slides.zip
01_download-slides-for-this-module_instructions.html
04_graph-analytics-techniques
02_basic-querying-path-analysis-and-centrality-analysis
03_hands-on-basic-queries-in-neo4j-with-cypher-part-2.en.txt
01_basic-queries-in-neo4j-with-cypher-supplementary-resources_instructions.html
06_hands-on-path-analytics-in-neo4j-using-cypher-part-2.en.srt
08_hands-on-connectivity-analytics-in-neo4j-with-cypher.en.srt
05_hands-on-path-analytics-in-neo4j-using-cypher-part-1.en.srt
06_hands-on-path-analytics-in-neo4j-using-cypher-part-2.en.txt
02_hands-on-basic-queries-in-neo4j-with-cypher-part-1.en.srt
03_hands-on-basic-queries-in-neo4j-with-cypher-part-2.en.srt
08_hands-on-connectivity-analytics-in-neo4j-with-cypher.en.txt
05_hands-on-path-analytics-in-neo4j-using-cypher-part-1.en.txt
04_path-analytics-in-neo4j-with-cypher-supplementary-resources_instructions.html
02_hands-on-basic-queries-in-neo4j-with-cypher-part-1.en.txt
07_connectivity-analytics-in-neo4j-with-cypher-supplementary-resources_instructions.html
06_hands-on-path-analytics-in-neo4j-using-cypher-part-2.mp4
08_hands-on-connectivity-analytics-in-neo4j-with-cypher.mp4
05_hands-on-path-analytics-in-neo4j-using-cypher-part-1.mp4
02_hands-on-basic-queries-in-neo4j-with-cypher-part-1.mp4
03_hands-on-basic-queries-in-neo4j-with-cypher-part-2.mp4
01_graph-analytics-with-neo4j
11_hands-on-importing-data-into-neo4j.en.srt
08_hands-on-modifying-a-graph-with-neo4j.en.srt
01_welcome-to-graph-analytics-techniques.en.txt
02_about-the-supplementary-resources_instructions.html
11_hands-on-importing-data-into-neo4j.mp4
03_downloading-installing-and-running-neo4j-supplementary-resources_deployment-requirements.html
07_adding-to-and-modifying-a-graph-supplementary-resources_instructions.html
09_download-datasets-used-in-this-graph-analytics-with-neo4j_instructions.html
10_importing-data-into-neo4j-supplementary-resources_instructions.html
12_faq_instructions.html
02_about-the-supplementary-resources_neo4j_supplementary_resource_pdfs_v2.zip
11_hands-on-importing-data-into-neo4j.en.txt
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06_hands-on-getting-started-with-neo4j.en.srt
08_hands-on-modifying-a-graph-with-neo4j.en.txt
06_hands-on-getting-started-with-neo4j.en.txt
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03_downloading-installing-and-running-neo4j-supplementary-resources_instructions.html
01_welcome-to-graph-analytics-techniques.en.srt
04_hands-on-downloading-installing-and-running-neo4j.mp4
06_hands-on-getting-started-with-neo4j.mp4
08_hands-on-modifying-a-graph-with-neo4j.mp4
09_download-datasets-used-in-this-graph-analytics-with-neo4j_neo4j_module_datasets.zip
01_welcome-to-graph-analytics-techniques.mp4
03_check-your-knowledge
01_assignment-practicing-graph-analytics-in-neo4j-with-cypher_module3_lesson1_lecture4_importing_data_into_neo4j.mp4
01_assignment-practicing-graph-analytics-in-neo4j-with-cypher_instructions.html
01_assignment-practicing-graph-analytics-in-neo4j-with-cypher_gene_gene_associations_50k.zip
04_supplementary-resources-to-support-this-module
01_download-all-neo4j-supplementary-resources-pdfs_neo4j_supplementary_resource_pdfs_v2.zip
01_download-all-neo4j-supplementary-resources-pdfs_instructions.html
03_graph-analytics
01_big-data-and-graph-analytics
01_what-to-learn-in-this-module_instructions.html
03_if-this-module-takes-a-little-longer-thats-ok_instructions.html
04_download-all-slides-for-module-3_instructions.html
02_focusing-on-graph-analytics-techniques.en.srt
02_focusing-on-graph-analytics-techniques.mp4
02_focusing-on-graph-analytics-techniques.en.txt
04_download-all-slides-for-module-3_Module3_slides.pdf
02_path-analytics
04_inclusion-and-exclusion-constraints.en.txt
01_path-analytics.en.srt
03_applying-dijkstras-algorithm.en.srt
04_inclusion-and-exclusion-constraints.en.srt
02_the-basic-path-analytics-question-what-is-the-best-path.en.srt
01_path-analytics.en.txt
03_applying-dijkstras-algorithm.en.txt
02_the-basic-path-analytics-question-what-is-the-best-path.en.txt
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02_the-basic-path-analytics-question-what-is-the-best-path.mp4
03_applying-dijkstras-algorithm.mp4
04_inclusion-and-exclusion-constraints.mp4
03_connectivity-analytics
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02_disconnecting-a-graph.en.srt
02_disconnecting-a-graph.en.txt
03_connectedness-indegree-and-outdegree.en.txt
01_connectivity-analytics.en.srt
03_connectedness-indegree-and-outdegree.en.srt
01_connectivity-analytics.mp4
03_connectedness-indegree-and-outdegree.mp4
02_disconnecting-a-graph.mp4
06_graph-analytics-optional-lectures
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02_optional-lecture-2-goal-directed-dijkstra-algorithm.en.txt
03_optional-lecture-3-power-law-graphs.en.txt
04_optional-lecture-4-measuring-graph-evolution.en.txt
06_optional-lecture-6-key-player-problems.en.txt
01_optional-lecture-1-bi-directional-dijkstra-algorithm.en.srt
05_optional-lecture-5-eigenvector-centrality.en.srt
05_optional-lecture-5-eigenvector-centrality.en.txt
04_optional-lecture-4-measuring-graph-evolution.en.srt
02_optional-lecture-2-goal-directed-dijkstra-algorithm.en.srt
06_optional-lecture-6-key-player-problems.en.srt
03_optional-lecture-3-power-law-graphs.en.srt
05_optional-lecture-5-eigenvector-centrality.mp4
04_optional-lecture-4-measuring-graph-evolution.mp4
06_optional-lecture-6-key-player-problems.mp4
02_optional-lecture-2-goal-directed-dijkstra-algorithm.mp4
03_optional-lecture-3-power-law-graphs.mp4
01_optional-lecture-1-bi-directional-dijkstra-algorithm.mp4
05_centrality-analytics
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01_centrality-analytics.en.srt
01_centrality-analytics.en.txt
04_community-analytics
01_community-analytics-and-local-properties.en.srt
02_global-property-modularity.en.srt
01_community-analytics-and-local-properties.en.txt
02_global-property-modularity.en.txt
01_community-analytics-and-local-properties.mp4
02_global-property-modularity.mp4
05_computing-platforms-for-graph-analytics
03_examples-of-analytics-using-graphx
05_hands-on-building-a-graph-reading_01_Hands_On_-_Building_a_Graph.md
01_introduction-to-graphx-hands-on-demonstrations.en.txt
03_download-all-of-the-readings-for-this-section-as-a-pdf_instructions.html
13_hands-on-joining-graph-datasets-reading_instructions.html
05_hands-on-building-a-graph-reading_instructions.html
11_hands-on-network-connectedness-and-clustering-components-reading_instructions.html
04_hands-on-building-a-graph.en.srt
02_datasets-and-libraries-for-example-of-analytics-hands-on_instructions.html
03_download-all-of-the-readings-for-this-section-as-a-pdf_GraphX_Hands_On.pdf
09_hands-on-plot-the-degree-histogram-reading_instructions.html
12_hands-on-joining-graph-datasets.en.srt
10_hands-on-network-connectedness-and-clustering-components.en.srt
04_hands-on-building-a-graph.en.txt
06_hands-on-building-a-degree-histogram.en.srt
07_hands-on-building-a-degree-histogram-reading_instructions.html
12_hands-on-joining-graph-datasets.en.txt
01_introduction-to-graphx-hands-on-demonstrations.en.srt
10_hands-on-network-connectedness-and-clustering-components.en.txt
06_hands-on-building-a-degree-histogram.en.txt
08_hands-on-plot-the-degree-histogram.en.srt
08_hands-on-plot-the-degree-histogram.en.txt
04_hands-on-building-a-graph.mp4
02_datasets-and-libraries-for-example-of-analytics-hands-on_ExamplesOfAnalytics.zip
12_hands-on-joining-graph-datasets.mp4
10_hands-on-network-connectedness-and-clustering-components.mp4
01_introduction-to-graphx-hands-on-demonstrations.mp4
06_hands-on-building-a-degree-histogram.mp4
08_hands-on-plot-the-degree-histogram.mp4
01_programming-model-for-graphs
01_introduction-large-scale-graph-processing.en.srt
01_introduction-large-scale-graph-processing.en.txt
02_a-parallel-programming-model-for-graphs.en.srt
02_a-parallel-programming-model-for-graphs.mp4
03_pregel-the-system-that-changed-graph-processing.en.srt
02_a-parallel-programming-model-for-graphs.en.txt
03_pregel-the-system-that-changed-graph-processing.en.txt
03_pregel-the-system-that-changed-graph-processing.mp4
01_introduction-large-scale-graph-processing.mp4
02_giraph-and-graphx-programming-model-details
01_giraph-and-graphx.en.srt
01_giraph-and-graphx.mp4
01_giraph-and-graphx.en.txt
02_beyond-single-vertex-computation.en.srt
02_beyond-single-vertex-computation.en.txt
02_beyond-single-vertex-computation.mp4
big-data-machine-learning
06_evaluation-of-machine-learning-models
03_hands-on
03_completed-knime-workflows_instructions.html
07_pdfs-for-evaluation-of-machine-learning-models-hands-on-readings_ComparingClassificationResultsforKNIMEandSpark.pdf
01_evaluation-of-decision-tree-in-knime_instructions.html
04_evaluation-of-decision-tree-in-spark_instructions.html
07_pdfs-for-evaluation-of-machine-learning-models-hands-on-readings_EvaluationofDecisionTreeinKNIME.pdf
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06_comparing-classification-results-for-knime-and-spark_instructions.html
02_evaluation-of-decision-tree-in-knime.en.txt
05_evaluation-of-decision-tree-in-spark.en.srt
05_evaluation-of-decision-tree-in-spark.en.txt
07_pdfs-for-evaluation-of-machine-learning-models-hands-on-readings_instructions.html
02_evaluation-of-decision-tree-in-knime.en.srt
02_evaluation-of-decision-tree-in-knime.mp4
05_evaluation-of-decision-tree-in-spark.mp4
02_model-evaluation-metrics-and-methods
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02_confusion-matrix.en.srt
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03_slides-model-evaluation-metrics-and-methods_instructions.html
02_confusion-matrix.mp4
01_overfitting-what-is-it-and-how-would-you-prevent-it
03_using-a-validation-set.en.srt
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02_overfitting-in-decision-trees.en.srt
04_slides-overfitting-what-is-it-and-how-would-you-prevent-it_instructions.html
02_overfitting-in-decision-trees.en.txt
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02_overfitting-in-decision-trees.mp4
03_data-exploration
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01_data-terminology.en.srt
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02_data-exploration.en.srt
05_slides-data-exploration-overview-and-terminology_instructions.html
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02_data-exploration.en.txt
03_data-exploration-through-summary-statistics.mp4
04_data-exploration-through-plots.mp4
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02_data-exploration.mp4
02_hands-on-activities-for-data-exploration
02_exploring-data-with-knime-plots_instructions.html
04_data-exploration-in-spark_instructions.html
06_pdfs-of-activities-for-data-exploration-hands-on-readings_DescriptionofDailyWeatherDataset.pdf
06_pdfs-of-activities-for-data-exploration-hands-on-readings_ExploringDataWithKNIMEPlots.pdf
03_exploring-data-with-knime-plots.en.srt
06_pdfs-of-activities-for-data-exploration-hands-on-readings_DataExplorationinSpark.pdf
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05_data-exploration-in-spark.en.srt
01_description-of-daily-weather-dataset_instructions.html
06_pdfs-of-activities-for-data-exploration-hands-on-readings_instructions.html
05_data-exploration-in-spark.en.txt
03_exploring-data-with-knime-plots.mp4
05_data-exploration-in-spark.mp4
07_regression-cluster-analysis-and-association-analysis
02_cluster-analysis
03_slides-cluster-analysis_cluster_analysis.pdf
03_slides-cluster-analysis_k_means_clustering.pdf
02_k-means-clustering.en.srt
01_cluster-analysis.en.srt
02_k-means-clustering.en.txt
01_cluster-analysis.en.txt
03_slides-cluster-analysis_instructions.html
01_cluster-analysis.mp4
02_k-means-clustering.mp4
04_hands-on
02_cluster-analysis-in-spark_instructions.html
03_cluster-analysis-in-spark.en.srt
04_pdfs-of-cluster-analysis-in-spark-hands-on-readings_DescriptionofMinuteWeatherDataset.pdf
04_pdfs-of-cluster-analysis-in-spark-hands-on-readings_ClusterAnalysisinSpark.pdf
03_cluster-analysis-in-spark.en.txt
01_description-of-minute-weather-dataset_instructions.html
04_pdfs-of-cluster-analysis-in-spark-hands-on-readings_instructions.html
03_cluster-analysis-in-spark.mp4
03_association-analysis
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02_association-analysis-in-detail.en.srt
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01_association-analysis.en.srt
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03_slides-association-analysis_instructions.html
04_machine-learning-with-big-data-final-remarks.en.srt
04_machine-learning-with-big-data-final-remarks.en.txt
01_association-analysis.mp4
04_machine-learning-with-big-data-final-remarks.mp4
01_regression
03_slides-regression_linear_regression.pdf
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03_slides-regression_regression.pdf
01_regression-overview.en.srt
02_linear-regression.en.srt
03_slides-regression_instructions.html
02_linear-regression.en.txt
01_regression-overview.mp4
02_linear-regression.mp4
02_introduction-to-machine-learning-with-big-data
04_hands-on-setting-up-your-software-environment
02_downloading-and-installing-the-cloudera-vm-instructions-windows_cloudera-quickstart-vm
03_downloading-and-installing-the-cloudera-vm-instructions-mac_cloudera-quickstart-vm-5.4
01_downloading-installing-and-using-knime_Example_Workflow.zip
06_pdfs-of-readings-for-week-1-hands-on_InstructionsforDownloadingHandsOnDatasets.pdf
02_downloading-and-installing-the-cloudera-vm-instructions-windows_instructions.html
01_downloading-installing-and-using-knime_KNIME_quickstart.pdf
06_pdfs-of-readings-for-week-1-hands-on_DownloadingandInstallingtheClouderaVMInstructions
04_instructions-for-downloading-hands-on-datasets_instructions.html
05_instructions-for-starting-jupyter_instructions.html
06_pdfs-of-readings-for-week-1-hands-on_InstructionsforStartingJupyter.pdf
06_pdfs-of-readings-for-week-1-hands-on_instructions.html
01_downloading-installing-and-using-knime_iris.csv
01_downloading-installing-and-using-knime_instructions.html
06_pdfs-of-readings-for-week-1-hands-on_DownloadingInstallingandUsingKNIME.pdf
03_downloading-and-installing-the-cloudera-vm-instructions-mac_instructions.html
02_machine-learning-process
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03_crisp-dm.en.srt
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03_crisp-dm.mp4
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01_machine-learning-overview-and-applications
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02_categories-of-machine-learning-techniques.en.srt
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02_categories-of-machine-learning-techniques.en.txt
03_slides-machine-learning-overview-and-applications_instructions.html
02_categories-of-machine-learning-techniques.mp4
01_machine-learning-overview.mp4
03_scalability-and-tools
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02_tools-used-in-this-course.en.txt
01_scaling-up-machine-learning-algorithms.en.txt
01_scaling-up-machine-learning-algorithms.mp4
02_tools-used-in-this-course.mp4
05_classification
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03_decision-trees.en.srt
04_naive-bayes.en.srt
03_decision-trees.mp4
05_slides-classification-algorithms_naive_bayes.pdf
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02_k-nearest-neighbors.en.txt
04_naive-bayes.en.txt
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01_classification-algorithms.en.txt
05_slides-classification-algorithms_instructions.html
01_classification-algorithms.en.srt
02_k-nearest-neighbors.mp4
01_classification-algorithms.mp4
03_hands-on
06_classification-in-spark.en.txt
07_pdfs-for-classification-hands-on-readings_InterpretingaDecisionTreeinKNIME.pdf
04_instructions-for-changing-the-number-of-cloudera-vm-cpus_instructions.html
05_classification-in-spark_instructions.html
01_classification-using-decision-tree-in-knime_instructions.html
07_pdfs-for-classification-hands-on-readings_ClassificationUsingDecisionTreeinKNIME.pdf
03_interpreting-a-decision-tree-in-knime_instructions.html
07_pdfs-for-classification-hands-on-readings_ClassificationinSpark.pdf
02_classification-using-decision-tree-in-knime.en.srt
06_classification-in-spark.en.srt
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07_pdfs-for-classification-hands-on-readings_instructions.html
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06_classification-in-spark.mp4
01_what-is-classification
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03_slides-what-is-classification_instructions.html
01_classification.en.txt
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01_classification.mp4
01_welcome
01_machine-learning-with-big-data
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02_summary-of-big-data-integration-and-processing.en.srt
01_welcome-to-machine-learning-with-big-data.mp4
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01_welcome-to-machine-learning-with-big-data.en.srt
01_welcome-to-machine-learning-with-big-data.en.txt
04_data-preparation
02_hands-on
01_handling-missing-values-in-knime_instructions.html
05_pdfs-for-data-preparation-hands-on-readings_HandlingMissingValuesinSpark.pdf
05_pdfs-for-data-preparation-hands-on-readings_HandlingMissingValuesinKNIME.pdf
03_handling-missing-values-in-spark_instructions.html
04_handling-missing-values-in-spark.en.srt
02_handling-missing-values-in-knime.en.srt
02_handling-missing-values-in-knime.en.txt
05_pdfs-for-data-preparation-hands-on-readings_instructions.html
04_handling-missing-values-in-spark.en.txt
02_handling-missing-values-in-knime.mp4
04_handling-missing-values-in-spark.mp4
01_data-preparation-for-machine-learning
06_dimensionality-reduction.mp4
06_dimensionality-reduction.en.srt
04_feature-selection.en.srt
05_feature-transformation.en.srt
03_addressing-data-quality-issues.en.srt
06_dimensionality-reduction.en.txt
02_data-quality.en.srt
05_feature-transformation.en.txt
01_data-preparation.en.txt
04_feature-selection.en.txt
07_slides-data-preparation-for-machine-learning_instructions.html
03_addressing-data-quality-issues.en.txt
01_data-preparation.en.srt
02_data-quality.en.txt
04_feature-selection.mp4
05_feature-transformation.mp4
03_addressing-data-quality-issues.mp4
02_data-quality.mp4
01_data-preparation.mp4
big-data-project
01_simulating-big-data-for-an-online-game
01_introduction-to-the-capstone-project
03_planning-preparation-and-review_splunk-enterprise.html
07_overview-of-the-catch-the-pink-flamingo-data-model_instructions.html
03_planning-preparation-and-review_instructions.html
03_planning-preparation-and-review_Week_3_pySpark_ML_Clustering.ipynb
05_a-summary-of-catch-the-pink-flamingo.en.srt
04_a-game-by-eglence-inc-catch-the-pink-flamingo_instructions.html
06_a-conceptual-schema-for-catch-the-pink-flamingo.en.srt
05_a-summary-of-catch-the-pink-flamingo.en.txt
02_welcome-from-splunk-rob-reed-world-education-evangelist.en.srt
06_a-conceptual-schema-for-catch-the-pink-flamingo.en.txt
01_welcome-to-the-big-data-capstone-project.en.srt
08_overview-of-final-project-design_instructions.html
02_welcome-from-splunk-rob-reed-world-education-evangelist.en.txt
01_welcome-to-the-big-data-capstone-project.en.txt
05_a-summary-of-catch-the-pink-flamingo.mp4
02_welcome-from-splunk-rob-reed-world-education-evangelist.mp4
06_a-conceptual-schema-for-catch-the-pink-flamingo.mp4
01_welcome-to-the-big-data-capstone-project.mp4
04_clustering-with-spark
02_lets-do-it
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01_practice-with-pyspark-mllib-clustering_setupWeek3.sh
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01_practice-with-pyspark-mllib-clustering_instructions.html
01_get-thinking-clustering-to-improve-eglence-inc-s-revenue
01_informing-business-strategies-based-on-client-base_instructions.html
02_acquiring-exploring-and-preparing-the-data
02_lets-do-it-exploring-and-preparing-the-data
02_catch-the-pink-flamingo-data-exploration-with-splunk_instructions.html
03_aggregate-calculations-using-splunk_instructions.html
04_filtering-the-data-with-splunk_instructions.html
01_optional-review-of-splunk_instructions.html
01_acquiring-and-understanding-the-game-data
02_understanding-the-csv-files-generated-by-the-scripts_instructions.html
01_downloading-the-game-data-and-associated-scripts_instructions.html
01_downloading-the-game-data-and-associated-scripts_Week_3_pySpark_ML_Clustering.ipynb
05_graph-analytics-of-simulated-chat-data-with-neo4j
02_lets-do-it-working-with-simulated-chat-data-in-neo4j
01_graph-analytics-of-catch-the-pink-flamingo-chat-data-using-neo4j_instructions.html
01_get-thinking-a-graph-analytics-approach-to-simulated-chat-data
01_understanding-the-simulated-chat-data-generated-by-the-scripts_instructions
03_data-classification-with-knime
02_lets-do-it
02_description-of-combined-data-csv_instructions.html
01_workflow-overview-for-building-a-decision-tree-in-knime_instructions.html
01_get-thinking-classifying-players-spending-habits
01_review-classification-using-decision-tree-in-knime_instructions.html
02_review-interpreting-a-decision-tree-in-knime_instructions.html
06_reporting-and-presenting-your-work
01_final-project-instructions
02_final-project-preparation_instructions.html
01_week-5-bringing-it-all-together.en.srt
01_week-5-bringing-it-all-together.en.txt
01_week-5-bringing-it-all-together.mp4
07_final-submission
02_optional-splunk-submission
01_part-2-help-us-connect-your-video-to-your-linkedin-profile_instructions.html
01_final-project-submission
01_congratulations-some-final-words.en.srt
01_congratulations-some-final-words.en.txt
01_congratulations-some-final-words.mp4
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TutsNode.net.txt
[TGx]Downloaded from torrentgalaxy.to .txt
Torrent description
Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information, Watch Big Data Specialization Online Free Full Movies Like 123Movies, Putlockers, Fmovies, Netflix or Download Direct via Magnet Link in Torrent Details.
