Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)

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Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)

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Name:Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)

Infohash: ECC71C1CB0429A5F1314E9C86925DEC7041C98D8

Total Size: 9.48 GB

Magnet: Magnet Download

Seeds: 1

Leechers: 1

Stream: Watch Full Movies @ LimeMovies

Last Updated: 2025-10-24 02:07:30 (Update Now)

Torrent added: 2022-01-27 14:00:22

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[TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175) (Size: 9.48 GB) (Files: 898)

[TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)

08 - Apache Spark 2.x - Data processing - Getting Started

009 Apache Spark - Framework.mp4

200.34 MB

009 Apache Spark - Framework_it.vtt

32.76 KB

010 Create Data Frames from Text Files_it.vtt

21.45 KB

008 Develop Simple Application_it.vtt

19.43 KB

007 Spark Data Structures - RDDs and Data Frames_it.vtt

19.30 KB

005 Quick Review of Spark APIs_it.vtt

17.80 KB

002 Review of Setup Steps for Spark Environment_it.vtt

12.04 KB

004 Apache Spark Official Documentation (Very Important)_it.vtt

9.90 KB

003 Using ITVersity labs_it.vtt

9.77 KB

011 Create Data Frames from Hive Tables_it.vtt

8.12 KB

external-assets-links.txt

2.06 KB

006 Spark Modules_it.vtt

7.37 KB

007 Spark Data Structures - RDDs and Data Frames.mp4

133.34 MB

001 Introduction_it.vtt

3.31 KB

010 Create Data Frames from Text Files.mp4

126.95 MB

008 Develop Simple Application.mp4

110.79 MB

005 Quick Review of Spark APIs.mp4

97.30 MB

004 Apache Spark Official Documentation (Very Important).mp4

79.54 MB

002 Review of Setup Steps for Spark Environment.mp4

52.00 MB

003 Using ITVersity labs.mp4

41.29 MB

011 Create Data Frames from Hive Tables.mp4

41.16 MB

006 Spark Modules.mp4

40.59 MB

001 Introduction.mp4

5.76 MB

01 - Introduction

external-assets-links.txt

0.14 KB

001 CCA 175 Spark and Hadoop Developer - Curriculum_it.vtt

8.49 KB

001 CCA 175 Spark and Hadoop Developer - Curriculum.mp4

19.38 MB

13 - Apache Spark using SQL - Pre-defined Functions

005 Date Manipulation Functions_it.vtt

20.53 KB

004 String Manipulation Functions_it.vtt

14.73 KB

006 Overview of Numeric Functions_it.vtt

11.56 KB

008 Dealing with Nulls_it.vtt

10.62 KB

009 Using CASE and WHEN_it.vtt

9.60 KB

010 Query Example - Word Count_it.vtt

9.15 KB

003 Validating Functions_it.vtt

6.27 KB

007 Data Type Conversion_it.vtt

5.64 KB

001 Introduction - Overview of Spark SQL Functions_it.vtt

2.48 KB

external-assets-links.txt

1.23 KB

002 Overview of Functions_it.vtt

3.94 KB

005 Date Manipulation Functions.mp4

86.53 MB

004 String Manipulation Functions.mp4

68.01 MB

009 Using CASE and WHEN.mp4

45.29 MB

010 Query Example - Word Count.mp4

41.49 MB

008 Dealing with Nulls.mp4

39.56 MB

003 Validating Functions.mp4

29.80 MB

006 Overview of Numeric Functions.mp4

29.35 MB

007 Data Type Conversion.mp4

12.35 MB

002 Overview of Functions.mp4

9.03 MB

001 Introduction - Overview of Spark SQL Functions.mp4

4.61 MB

23 - Deployment Modes of Spark Applications

013 Submit Spark Applications using SPARK_CONF_DIR with custom properties files_it.vtt

18.11 KB

002 Default Execution Master Type for Spark Applications_it.vtt

16.07 KB

010 Changing Spark Application Log Level using custom log4j properties_it.vtt

15.65 KB

004 Running Spark Applications using Local Mode_it.vtt

14.83 KB

003 Launch Pyspark using local mode_it.vtt

14.65 KB

014 Submit Spark Applications using Properties File_it.vtt

14.57 KB

006 Accessing Local Files using Spark CLI or Spark Applications_it.vtt

13.47 KB

005 Overview of Spark CLI Commands such as Pyspark_it.vtt

12.36 KB

012 Submit Spark Application using cluster mode with log level info_it.vtt

10.37 KB

011 Submit Spark Application using client mode with log level info_it.vtt

7.95 KB

009 Review the default logging while submitting Spark Applications_it.vtt

7.34 KB

008 Overview of submitting spark application using cluster deployment mode_it.vtt

5.89 KB

007 Overview of submitting spark application using client deployment mode_it.vtt

5.84 KB

001 Deployment Modes of Spark Applications - Introduction_it.vtt

2.21 KB

013 Submit Spark Applications using SPARK_CONF_DIR with custom properties files.mp4

99.99 MB

010 Changing Spark Application Log Level using custom log4j properties.mp4

86.44 MB

002 Default Execution Master Type for Spark Applications.mp4

81.33 MB

004 Running Spark Applications using Local Mode.mp4

73.93 MB

006 Accessing Local Files using Spark CLI or Spark Applications.mp4

70.99 MB

003 Launch Pyspark using local mode.mp4

68.81 MB

012 Submit Spark Application using cluster mode with log level info.mp4

68.54 MB

011 Submit Spark Application using client mode with log level info.mp4

64.34 MB

005 Overview of Spark CLI Commands such as Pyspark.mp4

63.01 MB

014 Submit Spark Applications using Properties File.mp4

60.70 MB

009 Review the default logging while submitting Spark Applications.mp4

22.35 MB

007 Overview of submitting spark application using client deployment mode.mp4

21.44 MB

008 Overview of submitting spark application using cluster deployment mode.mp4

14.35 MB

001 Deployment Modes of Spark Applications - Introduction.mp4

5.55 MB

17 - Apache Spark using Python - Basic Transformations

010 Total Aggregations_it.vtt

17.42 KB

014 Overview of Sorting Data Frames_it.vtt

16.71 KB

005 Boolean Operators_it.vtt

14.96 KB

011 Aggregate data using groupBy_it.vtt

12.92 KB

004 Filtering Example using dates_it.vtt

12.47 KB

003 Basic Filtering of Data_it.vtt

11.13 KB

015 Solution - Problem 1 - Get Total Aggregations_it.vtt

10.67 KB

012 Aggregate data using rollup_it.vtt

10.58 KB

013 Aggregate data using cube.cmproj_it.vtt

9.61 KB

006 Using IN Operator or isin Function_it.vtt

8.43 KB

009 Dealing with Nulls while Filtering_it.vtt

7.71 KB

008 Using BETWEEN Operator_it.vtt

7.66 KB

007 Using LIKE Operator or like Function_it.vtt

7.58 KB

002 Data Frames for basic transformations_it.vtt

6.16 KB

016 Solution - Problem 2 - Get Total Aggregations By FlightDate_it.vtt

6.07 KB

001 Overview of Basic Transformations_it.vtt

3.42 KB

external-assets-links.txt

2.29 KB

014 Overview of Sorting Data Frames.mp4

72.24 MB

010 Total Aggregations.mp4

62.67 MB

005 Boolean Operators.mp4

50.72 MB

015 Solution - Problem 1 - Get Total Aggregations.mp4

40.47 MB

006 Using IN Operator or isin Function.mp4

28.13 MB

011 Aggregate data using groupBy.mp4

27.92 MB

004 Filtering Example using dates.mp4

27.09 MB

002 Data Frames for basic transformations.mp4

25.71 MB

008 Using BETWEEN Operator.mp4

24.97 MB

016 Solution - Problem 2 - Get Total Aggregations By FlightDate.mp4

24.49 MB

013 Aggregate data using cube.cmproj.mp4

23.87 MB

003 Basic Filtering of Data.mp4

23.27 MB

012 Aggregate data using rollup.mp4

20.25 MB

009 Dealing with Nulls while Filtering.mp4

19.62 MB

007 Using LIKE Operator or like Function.mp4

16.48 MB

001 Overview of Basic Transformations.mp4

6.87 MB

07 - Overview of Hadoop HDFS Commands

004 Copying files from local to HDFS_it.vtt

16.94 KB

003 Managing HDFS Directories_it.vtt

16.06 KB

012 HDFS File Permissions_it.vtt

12.54 KB

006 Getting File Metadata_it.vtt

10.50 KB

009 HDFS Replication Factor_it.vtt

10.37 KB

011 Using HDFS Stat Commands_it.vtt

2.08 KB

external-assets-links.txt

1.43 KB

013 Overriding Properties_it.vtt

8.52 KB

007 Previewing Data in HDFS File_it.vtt

8.50 KB

005 Copying files from HDFS to local_it.vtt

7.74 KB

008 HDFS Block Size_it.vtt

6.69 KB

002 Listing HDFS Files_it.vtt

5.45 KB

001 Getting help or usage_it.vtt

5.45 KB

010 Getting HDFS Storage Usage_it.vtt

3.22 KB

004 Copying files from local to HDFS.mp4

89.32 MB

003 Managing HDFS Directories.mp4

88.23 MB

006 Getting File Metadata.mp4

65.19 MB

009 HDFS Replication Factor.mp4

50.02 MB

012 HDFS File Permissions.mp4

49.70 MB

002 Listing HDFS Files.mp4

40.89 MB

013 Overriding Properties.mp4

40.12 MB

008 HDFS Block Size.mp4

39.13 MB

005 Copying files from HDFS to local.mp4

38.74 MB

001 Getting help or usage.mp4

33.24 MB

007 Previewing Data in HDFS File.mp4

18.55 MB

010 Getting HDFS Storage Usage.mp4

14.13 MB

011 Using HDFS Stat Commands.mp4

5.64 MB

02 - Setting up Environment using AWS Cloud9

004 Overview of EC2 related to Cloud9_it.vtt

2.23 KB

009 [Commands] Setup Jupyter Lab on Cloud9.html

0.61 KB

008 Setup Jupyter Lab on Cloud9_it.vtt

10.37 KB

002 Creating Cloud9 Environment_it.vtt

6.82 KB

006 Associating Elastic IPs to Cloud9 Instance_it.vtt

5.99 KB

003 Warming up with Cloud9 IDE_it.vtt

5.16 KB

007 Increase EBS Volume Size of Cloud9 Instance_it.vtt

4.99 KB

005 Opening ports for Cloud9 Instance_it.vtt

4.71 KB

001 Getting Started with Cloud9_it.vtt

4.45 KB

008 Setup Jupyter Lab on Cloud9.mp4

39.10 MB

006 Associating Elastic IPs to Cloud9 Instance.mp4

27.06 MB

002 Creating Cloud9 Environment.mp4

16.32 MB

007 Increase EBS Volume Size of Cloud9 Instance.mp4

14.49 MB

001 Getting Started with Cloud9.mp4

10.79 MB

005 Opening ports for Cloud9 Instance.mp4

10.56 MB

003 Warming up with Cloud9 IDE.mp4

7.50 MB

004 Overview of EC2 related to Cloud9.mp4

5.03 MB

21 - Spark Application Execution Life Cycle and Spark UI

009 Develop Word Count Application_it.vtt

15.76 KB

008 Setup Data Set for Word Count application_it.vtt

14.91 KB

017 Overview of Spark History Server UI_it.vtt

12.55 KB

005 Understanding YARN Capacity of an Enterprise Cluster_it.vtt

11.33 KB

015 Develop Shell Script to run Spark Application_it.vtt

11.08 KB

003 Setup EMR Cluster with Hadoop and Spark_it.vtt

9.03 KB

013 Switch between Pyspark Versions to run Spark Applications or launch Pyspark CLI_it.vtt

7.90 KB

004 Overall Capacity of Big Data Cluster with Hadoop and Spark_it.vtt

7.64 KB

006 Overview of Hadoop HDFS and YARN Setup on Multi-node Cluster_it.vtt

6.54 KB

011 Overview of Spark Submit Command_it.vtt

6.45 KB

012 Switch between Python Versions to run Spark Applications or launch Pyspark CLI_it.vtt

6.40 KB

007 Overview of Spark Setup on top of Hadoop_it.vtt

6.20 KB

016 Run Spark Application and review default executors_it.vtt

6.17 KB

014 Review Spark Configuration Properties at Run Time_it.vtt

5.99 KB

002 Overview of Types of Spark Cluster Managers_it.vtt

4.85 KB

001 Deploying and Monitoring Spark Applications - Introduction_it.vtt

3.80 KB

010 Review Deployment Process of Spark Application_it.vtt

2.74 KB

008 Setup Data Set for Word Count application.mp4

84.42 MB

009 Develop Word Count Application.mp4

58.11 MB

013 Switch between Pyspark Versions to run Spark Applications or launch Pyspark CLI.mp4

38.78 MB

017 Overview of Spark History Server UI.mp4

30.43 MB

011 Overview of Spark Submit Command.mp4

29.91 MB

014 Review Spark Configuration Properties at Run Time.mp4

29.76 MB

006 Overview of Hadoop HDFS and YARN Setup on Multi-node Cluster.mp4

27.85 MB

005 Understanding YARN Capacity of an Enterprise Cluster.mp4

27.19 MB

007 Overview of Spark Setup on top of Hadoop.mp4

26.14 MB

015 Develop Shell Script to run Spark Application.mp4

20.72 MB

016 Run Spark Application and review default executors.mp4

19.35 MB

004 Overall Capacity of Big Data Cluster with Hadoop and Spark.mp4

17.93 MB

003 Setup EMR Cluster with Hadoop and Spark.mp4

17.06 MB

002 Overview of Types of Spark Cluster Managers.mp4

16.96 MB

012 Switch between Python Versions to run Spark Applications or launch Pyspark CLI.mp4

15.12 MB

001 Deploying and Monitoring Spark Applications - Introduction.mp4

7.90 MB

010 Review Deployment Process of Spark Application.mp4

2.50 MB

19 - Apache Spark using Python - Spark Metastore

003 Creating Metastore Tables using catalog_it.vtt

15.68 KB

008 Create Partitioned Tables_it.vtt

13.26 KB

011 Using Spark SQL_it.vtt

13.09 KB

004 Inferring Schema for Tables_it.vtt

10.28 KB

005 Define Schema for Tables using StructType_it.vtt

9.71 KB

001 Overview of Spark Metastore_it.vtt

9.55 KB

006 Inserting into Existing Tables_it.vtt

9.21 KB

007 Read and Process data from Metastore Tables_it.vtt

8.33 KB

009 Saving as Partitioned Table_it.vtt

7.49 KB

010 Creating Temporary Views_it.vtt

6.73 KB

002 Exploring Spark Catalog_it.vtt

4.09 KB

external-assets-links.txt

1.42 KB

003 Creating Metastore Tables using catalog.mp4

49.68 MB

008 Create Partitioned Tables.mp4

46.52 MB

005 Define Schema for Tables using StructType.mp4

42.15 MB

006 Inserting into Existing Tables.mp4

35.55 MB

011 Using Spark SQL.mp4

28.61 MB

009 Saving as Partitioned Table.mp4

26.32 MB

004 Inferring Schema for Tables.mp4

25.89 MB

010 Creating Temporary Views.mp4

25.22 MB

001 Overview of Spark Metastore.mp4

24.44 MB

007 Read and Process data from Metastore Tables.mp4

18.51 MB

002 Exploring Spark Catalog.mp4

10.46 MB

14 - Apache Spark SQL - Windowing Functions

007 Ranking using Windowing Functions_it.vtt

15.37 KB

004 Aggregations using Windowing Functions_it.vtt

14.42 KB

005 Using LEAD or LAG_it.vtt

13.78 KB

006 Getting first and last values_it.vtt

9.49 KB

008 Order of execution of SQL_it.vtt

8.91 KB

010 Filtering Window Function Results_it.vtt

7.75 KB

009 Overview of Subqueries_it.vtt

5.53 KB

002 Prepare HR Database_it.vtt

4.97 KB

003 Overview of Windowing Functions_it.vtt

4.60 KB

001 Introduction to Windowing Functions_it.vtt

2.85 KB

external-assets-links.txt

0.06 KB

005 Using LEAD or LAG.mp4

77.44 MB

007 Ranking using Windowing Functions.mp4

73.32 MB

006 Getting first and last values.mp4

61.52 MB

004 Aggregations using Windowing Functions.mp4

57.49 MB

008 Order of execution of SQL.mp4

34.98 MB

002 Prepare HR Database.mp4

20.17 MB

010 Filtering Window Function Results.mp4

16.70 MB

009 Overview of Subqueries.mp4

11.99 MB

003 Overview of Windowing Functions.mp4

10.60 MB

001 Introduction to Windowing Functions.mp4

4.98 MB

10 - Apache Spark using SQL - Basic Transformations using Spark SQL

009 Aggregating Data_it.vtt

14.90 KB

006 Filtering Data_it.vtt

14.00 KB

008 Joining Tables - Outer_it.vtt

10.27 KB

007 Joining Tables - Inner_it.vtt

9.53 KB

002 Spark SQL - Overview_it.vtt

9.48 KB

004 Prepare Tables_it.vtt

6.92 KB

external-assets-links.txt

1.25 KB

010 Sorting Data_it.vtt

6.47 KB

011 Conclusion - Final Solution_it.vtt

6.00 KB

005 Projecting Data_it.vtt

5.31 KB

003 Define Problem Statement_it.vtt

4.93 KB

001 Basic Transformations using Spark SQL - Introduction_it.vtt

4.76 KB

009 Aggregating Data.mp4

85.63 MB

008 Joining Tables - Outer.mp4

42.76 MB

006 Filtering Data.mp4

38.72 MB

007 Joining Tables - Inner.mp4

30.01 MB

004 Prepare Tables.mp4

27.66 MB

010 Sorting Data.mp4

25.94 MB

005 Projecting Data.mp4

23.55 MB

002 Spark SQL - Overview.mp4

22.56 MB

011 Conclusion - Final Solution.mp4

13.68 MB

003 Define Problem Statement.mp4

8.76 MB

001 Basic Transformations using Spark SQL - Introduction.mp4

8.04 MB

24 - Passing Application Properties Files and External Dependencies

009 Pass Application Properties to Spark Application using HDFS files_it.vtt

14.82 KB

008 Pass Application Properties to Spark Application using local files in cluster mo_it.vtt

9.88 KB

002 Steps to pass application properties using JSON_it.vtt

9.24 KB

007 Pass Application Properties to Spark Application using local files in client mod_it.vtt

9.05 KB

017 Pass External Dependencies to Spark Application using HDFS files_it.vtt

8.08 KB

013 Explore APIs to process YAML Data using Pyspark_it.vtt

7.94 KB

015 Pass External Dependencies to Spark Application using local files in client mode_it.vtt

7.60 KB

016 Pass External Dependencies to Spark Apps using local files in cluster mode_it.vtt

7.57 KB

001 Passing Application Properties Files and External Dependencies - Introduction_it.vtt

6.65 KB

012 Install PyYAML into specific folder and build zip_it.vtt

6.59 KB

010 Steps to pass external Python Libraries using pyfiles_it.vtt

6.07 KB

004 Build the JSON with Application Properties_it.vtt

5.92 KB

005 Explore APIs to process JSON Data using Pyspark_it.vtt

5.05 KB

006 Refactor the Spark Application Code to use properties from JSON_it.vtt

3.78 KB

003 Setup Working Directory to pass application properties using JSON_it.vtt

3.57 KB

014 Refactor the Spark Application Code to use properties from YAML_it.vtt

2.98 KB

011 Create required YAML File to externalize application properties_it.vtt

2.45 KB

009 Pass Application Properties to Spark Application using HDFS files.mp4

83.57 MB

007 Pass Application Properties to Spark Application using local files in client mod.mp4

51.01 MB

008 Pass Application Properties to Spark Application using local files in cluster mo.mp4

50.49 MB

002 Steps to pass application properties using JSON.mp4

46.86 MB

015 Pass External Dependencies to Spark Application using local files in client mode.mp4

38.71 MB

016 Pass External Dependencies to Spark Apps using local files in cluster mode.mp4

37.48 MB

017 Pass External Dependencies to Spark Application using HDFS files.mp4

36.35 MB

013 Explore APIs to process YAML Data using Pyspark.mp4

27.78 MB

001 Passing Application Properties Files and External Dependencies - Introduction.mp4

22.27 MB

004 Build the JSON with Application Properties.mp4

16.40 MB

005 Explore APIs to process JSON Data using Pyspark.mp4

15.30 MB

012 Install PyYAML into specific folder and build zip.mp4

15.05 MB

010 Steps to pass external Python Libraries using pyfiles.mp4

11.18 MB

006 Refactor the Spark Application Code to use properties from JSON.mp4

10.64 MB

003 Setup Working Directory to pass application properties using JSON.mp4

7.06 MB

014 Refactor the Spark Application Code to use properties from YAML.mp4

4.42 MB

011 Create required YAML File to externalize application properties.mp4

3.76 MB

18 - Apache Spark using Python - Joining Data Sets

006 Left or Right Outer Join_it.vtt

14.68 KB

external-assets-links.txt

1.79 KB

002 Analyze Datasets for Joins_it.vtt

12.18 KB

005 Using Inner Joins_it.vtt

11.60 KB

36816926-airport-codes-na.txt

11.14 KB

001 Prepare Datasets for Joins_it.vtt

8.67 KB

003 Problem Statements for Joins_it.vtt

2.51 KB

014 Solution - Get Daily Revenue rolled up till Yearly_it.vtt

6.90 KB

009 Solution - Get Dormant US Airports_it.vtt

5.20 KB

010 Solution - Get Origins without master data_it.vtt

6.62 KB

007 Solution - Get Flight Count Per US Airport_it.vtt

6.42 KB

011 Solution - Get Count of Flights without master data_it.vtt

5.46 KB

013 Solution - Get Daily Revenue_it.vtt

5.41 KB

008 Solution - Get Flight Count Per US State_it.vtt

4.07 KB

012 Solution - Get Count of Flights per Airport without master data_it.vtt

3.87 KB

004 Overview of Joins_it.vtt

1.91 KB

006 Left or Right Outer Join.mp4

52.42 MB

002 Analyze Datasets for Joins.mp4

47.73 MB

005 Using Inner Joins.mp4

39.53 MB

001 Prepare Datasets for Joins.mp4

20.44 MB

014 Solution - Get Daily Revenue rolled up till Yearly.mp4

15.25 MB

008 Solution - Get Flight Count Per US State.mp4

14.94 MB

010 Solution - Get Origins without master data.mp4

14.73 MB

007 Solution - Get Flight Count Per US Airport.mp4

13.55 MB

011 Solution - Get Count of Flights without master data.mp4

13.07 MB

013 Solution - Get Daily Revenue.mp4

13.06 MB

009 Solution - Get Dormant US Airports.mp4

12.81 MB

012 Solution - Get Count of Flights per Airport without master data.mp4

8.65 MB

003 Problem Statements for Joins.mp4

3.97 MB

004 Overview of Joins.mp4

2.93 MB

15 - Apache Spark using Python - Data Processing Overview

002 Overview of Spark Read APIs_it.vtt

14.66 KB

008 Overview of Spark Write APIs_it.vtt

14.64 KB

001 Starting Spark Context - pyspark_it.vtt

10.14 KB

006 Overview of Data Frame APIs_it.vtt

9.80 KB

005 Previewing Airlines Data_it.vtt

9.27 KB

004 Inferring Schema_it.vtt

9.09 KB

007 Overview of Functions_it.vtt

6.88 KB

003 Understanding airlines data_it.vtt

5.98 KB

external-assets-links.txt

1.08 KB

002 Overview of Spark Read APIs.mp4

69.14 MB

008 Overview of Spark Write APIs.mp4

57.13 MB

004 Inferring Schema.mp4

50.73 MB

005 Previewing Airlines Data.mp4

41.30 MB

006 Overview of Data Frame APIs.mp4

37.49 MB

001 Starting Spark Context - pyspark.mp4

37.46 MB

36340624-airtrafficdata.zip

29.33 MB

007 Overview of Functions.mp4

25.54 MB

003 Understanding airlines data.mp4

14.75 MB

03 - Setting up Environment - Overview of GCP and Provision Ubuntu VM

007 Setup Jupyter Lab_it.vtt

14.50 KB

external-assets-links.txt

0.84 KB

004 Provision Ubuntu VM from GCP_it.vtt

11.37 KB

005 Setup Docker_it.vtt

11.33 KB

003 Overview of GCP Pricing_it.vtt

8.48 KB

006 Validating Python_it.vtt

5.38 KB

001 Signing up for GCP_it.vtt

4.79 KB

002 Overview of GCP Web Console_it.vtt

3.22 KB

007 Setup Jupyter Lab.mp4

74.80 MB

005 Setup Docker.mp4

71.91 MB

004 Provision Ubuntu VM from GCP.mp4

50.31 MB

006 Validating Python.mp4

32.86 MB

003 Overview of GCP Pricing.mp4

32.30 MB

001 Signing up for GCP.mp4

11.41 MB

002 Overview of GCP Web Console.mp4

6.76 MB

06 - Python Fundamentals

007 Basic IO operations and processing data using Collections_it.vtt

13.92 KB

004 Python Collections_it.vtt

12.48 KB

003 Functions in Python_it.vtt

11.55 KB

005 Map Reduce operations on Python Collections_it.vtt

11.14 KB

002 Basic Programming Constructs_it.vtt

10.69 KB

external-assets-links.txt

0.91 KB

001 Introduction and Setting up Python_it.vtt

9.51 KB

007 Basic IO operations and processing data using Collections.mp4

184.76 MB

006 Setting up Data Sets for Basic IO Operations_it.vtt

4.30 KB

005 Map Reduce operations on Python Collections.mp4

79.90 MB

002 Basic Programming Constructs.mp4

46.82 MB

004 Python Collections.mp4

34.27 MB

001 Introduction and Setting up Python.mp4

27.25 MB

003 Functions in Python.mp4

26.45 MB

006 Setting up Data Sets for Basic IO Operations.mp4

16.05 MB

11 - Apache Spark using SQL - Basic DDL and DML

002 Create Spark Metastore Tables_it.vtt

13.87 KB

003 Overview of Data Types_it.vtt

12.46 KB

010 Overview of File Formats_it.vtt

9.92 KB

013 Exercise - Managed Tables_it.vtt

9.19 KB

006 Loading Data Into Tables - HDFS_it.vtt

7.86 KB

005 Loading Data Into Tables - Local_it.vtt

6.24 KB

012 Truncating Tables_it.vtt

2.89 KB

external-assets-links.txt

1.60 KB

009 Managed Tables vs External Tables_it.vtt

5.91 KB

011 Drop Tables and Databases_it.vtt

5.48 KB

008 Creating External Tables_it.vtt

4.51 KB

001 Introduction_it.vtt

3.95 KB

007 Loading Data - Append and Overwrite_it.vtt

3.41 KB

004 Adding Comments_it.vtt

3.21 KB

002 Create Spark Metastore Tables.mp4

67.74 MB

003 Overview of Data Types.mp4

66.24 MB

010 Overview of File Formats.mp4

57.42 MB

006 Loading Data Into Tables - HDFS.mp4

45.37 MB

013 Exercise - Managed Tables.mp4

29.62 MB

009 Managed Tables vs External Tables.mp4

28.91 MB

007 Loading Data - Append and Overwrite.mp4

17.97 MB

011 Drop Tables and Databases.mp4

16.15 MB

005 Loading Data Into Tables - Local.mp4

15.71 MB

008 Creating External Tables.mp4

13.20 MB

004 Adding Comments.mp4

12.93 MB

001 Introduction.mp4

11.23 MB

012 Truncating Tables.mp4

9.03 MB

05 - Setup Hive and Spark on Single Node Cluster

019 Validate Jupyter Lab Setup_it.vtt

13.84 KB

002 [Commands] - Setup Data Sets for Practice.html

1.10 KB

015 Configure Spark 2_it.vtt

12.40 KB

004 [Commands] - Download and Install Hive.html

1.45 KB

006 [Commands] - Setup Database for Hive Metastore.html

2.63 KB

008 [Commands] - Configure and Setup Hive Metastore.html

2.00 KB

010 [Commands] - Launch and Validate Hive.html

0.68 KB

017 Validate Spark 2 using CLIs_it.vtt

11.62 KB

012 [Commands] - Scripts to Manage Single Node Cluster.html

1.03 KB

014 [Commands] - Download and Install Spark 2.html

1.31 KB

027 Validate Spark 3 using CLIs_it.vtt

11.54 KB

016 [Commands] - Configure Spark 2.html

2.10 KB

018 [Commands] - Validate Spark 2 using CLIs.html

1.41 KB

020 [Commands] - Validate Jupyter Lab Setup.html

1.04 KB

022 [Commands] - Integrate Spark 2 with Jupyter Lab.html

1.86 KB

023 Download and Install Spark 3_it.vtt

2.65 KB

024 [Commands] - Download and Install Spark 3.html

1.32 KB

026 [Commands] - Configure Spark 3.html

2.29 KB

028 [Commands] - Validate Spark 3 using CLIs.html

1.41 KB

030 [Commands] - Integrate Spark 3 with Jupyter Lab.html

1.87 KB

005 Setup Database for Hive Metastore_it.vtt

10.43 KB

007 Configure and Setup Hive Metastore_it.vtt

10.33 KB

025 Configure Spark 3_it.vtt

9.42 KB

021 Integrate Spark 2 with Jupyter Lab_it.vtt

8.74 KB

009 Launch and Validate Hive_it.vtt

7.17 KB

011 Scripts to Manage Single Node Cluster_it.vtt

6.91 KB

001 Setup Data Sets for Practice_it.vtt

6.72 KB

029 Intergrate Spark 3 with Jupyter Lab_it.vtt

6.03 KB

013 Download and Install Spark 2_it.vtt

4.97 KB

003 Download and Install Hive_it.vtt

3.23 KB

019 Validate Jupyter Lab Setup.mp4

64.27 MB

017 Validate Spark 2 using CLIs.mp4

63.42 MB

027 Validate Spark 3 using CLIs.mp4

59.91 MB

025 Configure Spark 3.mp4

56.65 MB

007 Configure and Setup Hive Metastore.mp4

51.10 MB

015 Configure Spark 2.mp4

47.32 MB

005 Setup Database for Hive Metastore.mp4

38.25 MB

009 Launch and Validate Hive.mp4

34.28 MB

029 Intergrate Spark 3 with Jupyter Lab.mp4

21.90 MB

021 Integrate Spark 2 with Jupyter Lab.mp4

21.59 MB

001 Setup Data Sets for Practice.mp4

20.55 MB

011 Scripts to Manage Single Node Cluster.mp4

16.83 MB

013 Download and Install Spark 2.mp4

11.89 MB

023 Download and Install Spark 3.mp4

6.72 MB

003 Download and Install Hive.mp4

6.62 MB

22 - Setup SSH Proxy to access Spark Application logs

011 Configure Passwordless Login using PuTTYGen Keys on Windows_it.vtt

13.70 KB

002 Overview of Private and Public ips of servers in the cluster_it.vtt

12.82 KB

010 Quick Tour of PuTTY on Windows_it.vtt

12.33 KB

016 Update Hosts file for worker nodes using private ips_it.vtt

10.81 KB

003 Overview of SSH Proxy_it.vtt

10.80 KB

015 Understanding Proxying Network Traffic overcoming Windows Caveats_it.vtt

10.22 KB

014 Setup Proxy on Windows and validate using Microsoft Edge browser_it.vtt

9.53 KB

017 Access Spark Application logs using SSH Proxy_it.vtt

7.43 KB

005 Proxy using sshuttle on Mac or Linux_it.vtt

7.30 KB

006 Accessing Spark Application logs via SSH Proxy using sshuttle on Mac or Linux_it.vtt

7.14 KB

012 Run Spark Application on Gateway Node using PuTTY_it.vtt

5.74 KB

013 Configure Tunnel to Gateway Node using PuTTY on Windows for SSH Proxy_it.vtt

4.88 KB

001 Setup SSH Proxy to access Spark Application logs - Introduction_it.vtt

4.78 KB

018 Overview of performing tasks related to Spark Applications using Mac_it.vtt

4.53 KB

004 Setup sshuttle on Mac or Linux_it.vtt

4.02 KB

007 Side effects of using SSH Proxy to access Spark Application Logs_it.vtt

3.17 KB

008 Steps to setup SSH Proxy on Windows to access Spark Application Logs_it.vtt

2.10 KB

016 Update Hosts file for worker nodes using private ips.mp4

48.30 MB

003 Overview of SSH Proxy.mp4

44.93 MB

002 Overview of Private and Public ips of servers in the cluster.mp4

37.14 MB

015 Understanding Proxying Network Traffic overcoming Windows Caveats.mp4

33.80 MB

017 Access Spark Application logs using SSH Proxy.mp4

27.82 MB

014 Setup Proxy on Windows and validate using Microsoft Edge browser.mp4

27.66 MB

005 Proxy using sshuttle on Mac or Linux.mp4

25.23 MB

011 Configure Passwordless Login using PuTTYGen Keys on Windows.mp4

23.28 MB

012 Run Spark Application on Gateway Node using PuTTY.mp4

22.13 MB

006 Accessing Spark Application logs via SSH Proxy using sshuttle on Mac or Linux.mp4

21.78 MB

010 Quick Tour of PuTTY on Windows.mp4

21.05 MB

004 Setup sshuttle on Mac or Linux.mp4

15.76 MB

001 Setup SSH Proxy to access Spark Application logs - Introduction.mp4

11.06 MB

013 Configure Tunnel to Gateway Node using PuTTY on Windows for SSH Proxy.mp4

11.04 MB

018 Overview of performing tasks related to Spark Applications using Mac.mp4

10.07 MB

007 Side effects of using SSH Proxy to access Spark Application Logs.mp4

7.87 MB

008 Steps to setup SSH Proxy on Windows to access Spark Application Logs.mp4

5.74 MB

009 Setup PuTTY and PuTTYgen on Windows.mp4

2.02 MB

04 - Setup Hadoop on Single Node Cluster

003 [Commands] - Setup Prerequisties.html

0.46 KB

005 [Commands] - Setup Password less login.html

0.93 KB

007 [Commands] - Download and Install Hadoop.html

1.07 KB

009 [Commands] - Configure Hadoop HDFS.html

2.47 KB

011 [Commands] - Start and Validate HDFS.html

1.13 KB

012 Configure Hadoop YARN_it.vtt

1.77 KB

013 [Commands] - Configure Hadoop YARN.html

1.33 KB

014 Start and Validate YARN_it.vtt

2.92 KB

015 [Commands] - Start and Validate YARN.html

0.63 KB

017 [Commands] - Managing Single Node Hadoop.html

1.11 KB

008 Configure Hadoop HDFS_it.vtt

9.89 KB

010 Start and Validate HDFS_it.vtt

9.02 KB

002 Setup Prerequisties_it.vtt

7.54 KB

006 Download and Install Hadoop_it.vtt

6.47 KB

016 Managing Single Node Hadoop_it.vtt

6.28 KB

004 Setup Password less login_it.vtt

5.59 KB

001 Introduction to Single Node Hadoop Cluster_it.vtt

4.43 KB

008 Configure Hadoop HDFS.mp4

44.93 MB

010 Start and Validate HDFS.mp4

39.85 MB

002 Setup Prerequisties.mp4

29.69 MB

006 Download and Install Hadoop.mp4

28.98 MB

016 Managing Single Node Hadoop.mp4

17.41 MB

001 Introduction to Single Node Hadoop Cluster.mp4

8.69 MB

004 Setup Password less login.mp4

7.70 MB

014 Start and Validate YARN.mp4

5.19 MB

012 Configure Hadoop YARN.mp4

3.63 MB

09 - Apache Spark using SQL - Getting Started

007 Managing Spark Metastore Databases_it.vtt

13.32 KB

004 Overview of Spark SQL Properties_it.vtt

12.09 KB

011 Exercise - Getting Started with Spark SQL_it.vtt

11.40 KB

001 Getting Started - Overview_it.vtt

2.69 KB

external-assets-links.txt

1.47 KB

010 Role of Spark Metastore or Hive Metastore_it.vtt

6.70 KB

003 Launching and using Spark SQL CLI_it.vtt

5.72 KB

006 Understanding Warehouse Directory_it.vtt

5.42 KB

005 Running OS Commands using Spark SQL_it.vtt

4.46 KB

008 Managing Spark Metastore Tables_it.vtt

4.31 KB

002 Overview of Spark Documentation_it.vtt

3.59 KB

009 Retrieve Metadata of Tables_it.vtt

3.11 KB

007 Managing Spark Metastore Databases.mp4

71.99 MB

004 Overview of Spark SQL Properties.mp4

70.86 MB

011 Exercise - Getting Started with Spark SQL.mp4

53.81 MB

010 Role of Spark Metastore or Hive Metastore.mp4

27.39 MB

005 Running OS Commands using Spark SQL.mp4

25.22 MB

006 Understanding Warehouse Directory.mp4

23.38 MB

003 Launching and using Spark SQL CLI.mp4

21.59 MB

009 Retrieve Metadata of Tables.mp4

15.25 MB

002 Overview of Spark Documentation.mp4

15.19 MB

008 Managing Spark Metastore Tables.mp4

8.17 MB

001 Getting Started - Overview.mp4

4.97 MB

20 - Apache Spark - Application Development Life Cycle

015 Detailed Validation of the Application_it.vtt

13.05 KB

014 Running the application using YARN_it.vtt

12.89 KB

008 Read data from files_it.vtt

11.69 KB

011 Validating Writing Data to Files_it.vtt

10.33 KB

010 Write data to files_it.vtt

10.15 KB

009 Process data using Spark APIs_it.vtt

9.01 KB

003 Passing Run Time Arguments_it.vtt

8.43 KB

006 Create Function for Spark Session_it.vtt

7.78 KB

002 Getting Started with Pycharm_it.vtt

7.59 KB

012 Productionizing the Code_it.vtt

6.90 KB

001 Setup Virtual Environment and Install Pyspark_it.vtt

6.72 KB

004 Accessing OS Environment Variables_it.vtt

6.31 KB

013 Setting up Data for Production Validation_it.vtt

6.01 KB

005 Getting Started with Spark_it.vtt

3.75 KB

007 Setup Sample Data_it.vtt

3.54 KB

014 Running the application using YARN.mp4

79.92 MB

015 Detailed Validation of the Application.mp4

67.73 MB

009 Process data using Spark APIs.mp4

41.00 MB

013 Setting up Data for Production Validation.mp4

40.13 MB

008 Read data from files.mp4

36.01 MB

002 Getting Started with Pycharm.mp4

25.93 MB

001 Setup Virtual Environment and Install Pyspark.mp4

25.45 MB

011 Validating Writing Data to Files.mp4

24.73 MB

006 Create Function for Spark Session.mp4

24.02 MB

010 Write data to files.mp4

20.22 MB

003 Passing Run Time Arguments.mp4

16.73 MB

005 Getting Started with Spark.mp4

14.82 MB

007 Setup Sample Data.mp4

13.63 MB

012 Productionizing the Code.mp4

12.00 MB

004 Accessing OS Environment Variables.mp4

10.83 MB

16 - Apache Spark using Python - Processing Column Data

006 Extracting Strings using substring_it.vtt

12.52 KB

014 Using to_date and to_timestamp_it.vtt

12.22 KB

007 Extracting Strings using split_it.vtt

10.77 KB

001 Overview of Predefined Functions in Spark_it.vtt

10.54 KB

018 Using CASE and WHEN_it.vtt

10.18 KB

004 Special Functions - col and lit_it.vtt

9.16 KB

016 Dealing with Unix Timestamp_it.vtt

8.79 KB

015 Using date_format Function_it.vtt

8.78 KB

017 Dealing with Nulls_it.vtt

8.73 KB

012 Using Date and Time Trunc Functions_it.vtt

7.90 KB

008 Padding Characters around Strings_it.vtt

7.72 KB

002 Create Dummy Data Frame_it.vtt

7.62 KB

009 Trimming Characters from Strings_it.vtt

7.34 KB

011 Date and Time Arithmetic_it.vtt

7.32 KB

010 Date and Time Manipulation Functions_it.vtt

6.22 KB

013 Date and Time Extract Functions_it.vtt

5.98 KB

005 Common String Manipulation Functions_it.vtt

5.82 KB

003 Categories of Functions_it.vtt

4.90 KB

external-assets-links.txt

2.69 KB

006 Extracting Strings using substring.mp4

42.59 MB

007 Extracting Strings using split.mp4

37.84 MB

012 Using Date and Time Trunc Functions.mp4

37.81 MB

004 Special Functions - col and lit.mp4

33.97 MB

017 Dealing with Nulls.mp4

31.30 MB

014 Using to_date and to_timestamp.mp4

30.53 MB

008 Padding Characters around Strings.mp4

28.29 MB

018 Using CASE and WHEN.mp4

27.30 MB

001 Overview of Predefined Functions in Spark.mp4

24.85 MB

016 Dealing with Unix Timestamp.mp4

22.96 MB

011 Date and Time Arithmetic.mp4

20.94 MB

015 Using date_format Function.mp4

19.97 MB

009 Trimming Characters from Strings.mp4

16.88 MB

013 Date and Time Extract Functions.mp4

14.88 MB

005 Common String Manipulation Functions.mp4

13.27 MB

002 Create Dummy Data Frame.mp4

12.51 MB

010 Date and Time Manipulation Functions.mp4

11.42 MB

003 Categories of Functions.mp4

8.25 MB

12 - Apache Spark using SQL - DML and Partitioning

008 Loading Data into Partitioned Tables_it.vtt

9.70 KB

010 Using Dynamic Partition Mode_it.vtt

6.45 KB

005 Inserting Data using Stage Table_it.vtt

6.33 KB

003 Creating Tables using Parquet_it.vtt

6.10 KB

002 Introduction to Partitioning_it.vtt

1.91 KB

004 Load vs. Insert_it.vtt

5.73 KB

external-assets-links.txt

1.42 KB

007 Adding Partitions to Tables_it.vtt

5.40 KB

011 Exercise - Partitioned Tables_it.vtt

4.89 KB

001 Introduction_it.vtt

4.71 KB

009 Inserting Data into Partitions_it.vtt

4.54 KB

006 Creating Partitioned Tables_it.vtt

4.42 KB

008 Loading Data into Partitioned Tables.mp4

66.57 MB

005 Inserting Data using Stage Table.mp4

28.13 MB

010 Using Dynamic Partition Mode.mp4

27.16 MB

006 Creating Partitioned Tables.mp4

17.84 MB

003 Creating Tables using Parquet.mp4

15.55 MB

004 Load vs. Insert.mp4

14.34 MB

007 Adding Partitions to Tables.mp4

13.74 MB

001 Introduction.mp4

13.66 MB

011 Exercise - Partitioned Tables.mp4

12.87 MB

009 Inserting Data into Partitions.mp4

11.53 MB

002 Introduction to Partitioning.mp4

3.68 MB

TutsNode.com.txt

0.06 KB

[TGx]Downloaded from torrentgalaxy.to .txt

0.57 KB

.pad

0.00 KB

148.46 KB

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Torrent description

Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information, Watch Apache Spark 2 and 3 using Python 3 (Formerly CCA 175) Online Free Full Movies Like 123Movies, Putlockers, Fmovies, Netflix or Download Direct via Magnet Link in Torrent Details.