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Название [GigaCourse.Com] Udemy - Data Engineering Essentials Hands-on SQL Python and Spark
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1.1 airport-codes-na.txt 11.14Кб
1.1 Basic DDL and DML - Introduction.html 138б
1.1 Basic Transformations.html 146б
1.1 Connecting to Database.html 144б
1.1 Database Operations - Overview.html 159б
1.1 Database Programming using Pandas.html 184б
1.1 DDL – Data Definition Language.html 157б
1.1 DML and Partitioning.html 144б
1.1 Getting help or usage.html 141б
1.1 Getting Started.html 134б
1.1 Installing Python.html 146б
1.1 Introduction to Getting Started for Data copier.html 148б
1.1 Loading Data from files to tables.html 183б
1.1 Overview of Basic Transformations.html 157б
1.1 Overview of main function.html 167б
1.1 Overview of Partitioning.html 161б
1.1 Overview of Pre-Defined Functions.html 158б
1.1 Overview of Spark Metastore.html 145б
1.1 Overview of Views.html 151б
1.1 Predefined Functions.html 144б
1.1 Pre-defined Functions.html 145б
1.1 Reading Data using Pandas - Introduction.html 166б
1.1 Signing up for GCP.html 146б
1.1 Standard Transformations.html 156б
1.1 Starting Spark Context.html 149б
1.1 User Defined Functions.html 146б
1.1 Windowing Functions - Introduction.html 142б
1.2 flightmonth=200801.zip 12.88Мб
1.3 Prepare Datasets for Joins.html 149б
1. Basic Programming Constructs using Python - Introduction.mp4 8.67Мб
1. Basic Programming Constructs using Python - Introduction.srt 3.43Кб
1. Basics of File IO using Python - Introduction.mp4 19.15Мб
1. Basics of File IO using Python - Introduction.srt 5.55Кб
1. Basic Transformations - Introduction.mp4 16.63Мб
1. Basic Transformations - Introduction.srt 4.96Кб
1. Connecting to Database.mp4 28.26Мб
1. Connecting to Database.srt 6.58Кб
1. Database Operations - CRUD Operations - Introduction.mp4 10.13Мб
1. Database Operations - CRUD Operations - Introduction.srt 3.17Кб
1. Database Operations - Overview.mp4 13.99Мб
1. Database Operations - Overview.srt 3.36Кб
1. Database Programming - Batch Operations - Introduction.mp4 8.08Мб
1. Database Programming - Batch Operations - Introduction.srt 2.75Кб
1. Database Programming using Pandas - Introduction.mp4 11.85Мб
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1. DDL - Data Definition Language.mp4 49.46Мб
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1. Delimited Files and Collections.mp4 9.22Мб
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1. Deploy and Validate Application on Remote Server - Introduction.mp4 9.76Мб
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1. Develop myFilter.mp4 38.67Мб
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1. Dockerizing the application - Introduction.mp4 4.85Мб
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1. Enable telnet on Windows.mp4 14.00Мб
1. Enable telnet on Windows.srt 4.97Кб
1. Getting help or usage.mp4 34.51Мб
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1. Getting Started - Overview.mp4 9.76Мб
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1. Getting Started with Cloud9.mp4 23.23Мб
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1. Installing Python on Windows.mp4 48.48Мб
1. Installing Python on Windows.srt 15.44Кб
1. Introduction.mp4 20.06Мб
1. Introduction.srt 4.16Кб
1. Introduction about course.mp4 38.10Мб
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1. Introduction - Managing Tables - DML and Partitioning.mp4 23.51Мб
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1. Introduction - Overview of Spark SQL Functions.mp4 10.52Мб
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1. Introduction - Perform Database Operations.mp4 9.20Мб
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1. Introduction - Setup Postgres Database.mp4 7.28Мб
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1. Introduction to Getting Started for Data copier.mp4 11.61Мб
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1. Introduction to Pycharm for Python Application Development.mp4 4.28Мб
1. Introduction to Pycharm for Python Application Development.srt 2.31Кб
1. Introduction to Python Virtual Environments.mp4 1.80Мб
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1. Introduction to Single Node Hadoop Cluster.mp4 16.40Мб
1. Introduction to Single Node Hadoop Cluster.srt 4.88Кб
1. Introduction - Windowing Functions.mp4 11.81Мб
1. Introduction - Windowing Functions.srt 2.97Кб
1. Loading Data from files to tables - Introduction.mp4 7.30Мб
1. Loading Data from files to tables - Introduction.srt 1.86Кб
1. Manipulating Collections using loops - Introduction.mp4 8.86Мб
1. Manipulating Collections using loops - Introduction.mp4 14.30Мб
1. Manipulating Collections using loops - Introduction.srt 2.99Кб
1. Manipulating Collections using loops - Introduction.srt 4.39Кб
1. Overview of Basic Transformations.mp4 17.16Мб
1. Overview of Basic Transformations.srt 3.56Кб
1. Overview of Collections - list and set - Introduction.mp4 10.25Мб
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1. Overview of Functions.mp4 41.40Мб
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1. Overview of main function.mp4 38.65Мб
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1. Overview of Pandas Libraries.mp4 12.33Мб
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1. Overview of Partitioning.mp4 8.91Мб
1. Overview of Partitioning.srt 2.24Кб
1. Overview of Predefined Functions in Spark.mp4 49.97Мб
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1. Overview of REST APIs.mp4 26.04Мб
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1. Overview of Spark Metastore.mp4 42.76Мб
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1. Overview of Views.mp4 46.75Мб
1. Overview of Views.srt 10.11Кб
1. Predefined Functions - Introduction.mp4 6.84Мб
1. Predefined Functions - Introduction.srt 2.82Кб
1. Prepare Datasets for Joins.mp4 37.08Мб
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1. Preparing Data Sets.mp4 18.14Мб
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1. Processing JSON Data - Introduction.mp4 9.49Мб
1. Processing JSON Data - Introduction.srt 3.04Кб
1. Reading Data using Pandas - Introduction.mp4 9.82Мб
1. Reading Data using Pandas - Introduction.srt 2.91Кб
1. Setup Data Sets for Practice.mp4 38.95Мб
1. Setup Data Sets for Practice.srt 7.08Кб
1. Setup Virtual Environment and Install Pyspark.mp4 37.88Мб
1. Setup Virtual Environment and Install Pyspark.srt 7.42Кб
1. Signing up for GCP.mp4 23.59Мб
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1. Standard Transformations.mp4 7.51Мб
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1. Starting Spark Context - pyspark.mp4 49.13Мб
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1. User Defined Functions - Introduction.mp4 7.34Мб
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1. Using Custom Docker Image - Introduction.mp4 4.99Мб
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10. [Commands] Setup Jupyter Lab on Cloud9.html 615б
10.1 Creating Temp Views.html 137б
10.1 Cumulative or Moving Aggregations.html 167б
10.1 Date and Time Manipulation Functions.html 161б
10.1 Dropping Tables.html 148б
10.1 Dropping users table.html 171б
10.1 Example - Web Application.html 153б
10.1 Filtering - Window Function Results.html 156б
10.1 Getting HDFS Storage Usage.html 146б
10.1 Jupyter Lab and Postgresql.html 155б
10.1 Lambda Functions.html 140б
10.1 Overview of File Formats.html 145б
10.1 Query Example - Word Count.html 148б
10.1 Querying Data From Table.html 162б
10.1 Role of Spark or Hive Metastore.html 150б
10.1 Setup Project using Pycharm.html 160б
10.1 Solutions - Problem 4.html 139б
10.1 Sorting Data.html 137б
10.1 Sorting Data.html 143б
10.1 Total Aggregations.html 142б
10.1 Usage Scenarios.html 152б
10.1 Using Dynamic Partition Mode.html 152б
10.1 Validating set.html 152б
10.1 Writing Data Frames to Files.html 158б
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10. Common Use Cases for JSON.mp4 76.28Мб
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10. Creating Temporary Views.mp4 27.14Мб
10. Creating Temporary Views.srt 7.15Кб
10. Cumulative Operations using itertools.mp4 48.63Мб
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10. Cumulative or Moving Aggregations.mp4 51.16Мб
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10. Date and Time Manipulation Functions.mp4 26.21Мб
10. Date and Time Manipulation Functions.srt 6.64Кб
10. Define requirements file for Web Application.mp4 15.24Мб
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10. Dropping Tables.mp4 32.05Мб
10. Dropping Tables.srt 5.80Кб
10. Drop users table.mp4 15.31Мб
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10. Example - Web Application.mp4 67.32Мб
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10. Exercises - Basic Programming Constructs.mp4 35.24Мб
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10. Filtering Windowing Function Results.mp4 37.13Мб
10. Filtering Windowing Function Results.srt 8.00Кб
10. Getting Current Date or Timestamp.mp4 22.45Мб
10. Getting Current Date or Timestamp.srt 5.03Кб
10. Getting HDFS Storage Usage.mp4 15.04Мб
10. Getting HDFS Storage Usage.srt 3.49Кб
10. Jupyter Lab and Postgresql on local systems such as Mac.mp4 38.72Мб
10. Jupyter Lab and Postgresql on local systems such as Mac.srt 9.40Кб
10. Lambda Functions.mp4 27.17Мб
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10. Overview of File Formats.mp4 54.61Мб
10. Overview of File Formats.srt 10.75Кб
10. Overview of Grouped Aggregations.mp4 13.43Мб
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10. Overview of Pycharm Integrated Terminal.mp4 25.38Мб
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10. Process dict values.mp4 19.96Мб
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10. Query Example - Word Count.mp4 41.19Мб
10. Query Example - Word Count.srt 9.98Кб
10. Querying Data From Table.mp4 70.15Мб
10. Querying Data From Table.srt 16.49Кб
10. Read csv into list of strings.mp4 58.97Мб
10. Read csv into list of strings.srt 11.21Кб
10. Role of Spark Metastore or Hive Metastore.mp4 27.82Мб
10. Role of Spark Metastore or Hive Metastore.srt 7.07Кб
10. Run and Validate Dockerized Application.mp4 73.58Мб
10. Run and Validate Dockerized Application.srt 12.61Кб
10. Run application using Docker.mp4 60.25Мб
10. Run application using Docker.srt 9.29Кб
10. Setup Project using Pycharm.mp4 30.68Мб
10. Setup Project using Pycharm.srt 7.57Кб
10. Setup Sample Data.mp4 18.57Мб
10. Setup Sample Data.srt 3.68Кб
10. Setup Web Application and access using private ip.mp4 30.23Мб
10. Setup Web Application and access using private ip.srt 5.63Кб
10. Solution - Get Origins without master data.mp4 26.89Мб
10. Solution - Get Origins without master data.srt 7.08Кб
10. Sorting Data.mp4 32.16Мб
10. Sorting Data.mp4 102.90Мб
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10. Sorting Data.srt 18.98Кб
10. Total Aggregations.mp4 69.51Мб
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10. Usage Scenarios.mp4 28.19Мб
10. Usage Scenarios.srt 5.09Кб
10. Using Dynamic Partition Mode.mp4 35.64Мб
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10. Validate Integration logic.mp4 49.50Мб
10. Validate Integration logic.srt 8.48Кб
10. Validate Jupyter Lab Setup.mp4 67.88Мб
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10. Validate myJoin Function.mp4 46.88Мб
10. Validate myJoin Function.srt 14.26Кб
10. Validate Network Connectivity between Docker Containers.mp4 22.50Мб
10. Validate Network Connectivity between Docker Containers.srt 3.66Кб
10. Validating sets.mp4 13.06Мб
10. Validating sets.srt 3.26Кб
10. Writing Data Frames to Files.mp4 75.74Мб
10. Writing Data Frames to Files.srt 17.35Кб
11.1 Aggregate data using groupBy.html 152б
11.1 Analytic Functions – Windowing.html 162б
11.1 Conclusion - Final Solution.html 150б
11.1 Date and Time Arithmetic.html 149б
11.1 Dropping Tables and Databases.html 150б
11.1 Exercise - Database Operations.html 158б
11.1 Exercise - Getting Started with Spark SQL.html 143б
11.1 Exercise - Partitioned Tables.html 152б
11.1 Joining Data Frames.html 149б
11.1 Jupyter Lab and Postgresql on Ubuntu VM (AWS Cloud9 and GCP).html 168б
11.1 list and set - Usage.html 156б
11.1 Managing Dependencies for the project.html 154б
11.1 Recap - CRUD Operations.html 159б
11.1 Solution - Daily Product Revenue.html 161б
11.1 Solutions - Problem 5.html 139б
11.1 Sub Partitioning.html 153б
11.1 Usage of Lambda Functions.html 149б
11.1 Using HDFS Stat Commands.html 143б
11.1 Using Spark SQL.html 133б
11. Aggregate data using groupBy.mp4 56.24Мб
11. Aggregate data using groupBy.srt 13.96Кб
11. Analytic Functions - Windowing.mp4 82.29Мб
11. Analytic Functions - Windowing.srt 18.41Кб
11. Conclusion - Final Solution.mp4 23.39Мб
11. Conclusion - Final Solution.srt 6.19Кб
11. Date and Time Arithmetic.mp4 37.84Мб
11. Date and Time Arithmetic.srt 8.07Кб
11. Date Arithmetic.mp4 37.76Мб
11. Date Arithmetic.srt 7.86Кб
11. Develop logic for multiple tables.mp4 34.60Мб
11. Develop logic for multiple tables.srt 5.56Кб
11. Disable Access to Web Application using Public ip.mp4 25.03Мб
11. Disable Access to Web Application using Public ip.srt 5.23Кб
11. Drop Tables and Databases.mp4 26.40Мб
11. Drop Tables and Databases.srt 5.95Кб
11. Dynamic Arithmetic Operations using eval and exec.mp4 16.38Мб
11. Dynamic Arithmetic Operations using eval and exec.srt 6.19Кб
11. Exercise - Database Operations.mp4 18.74Мб
11. Exercise - Database Operations.srt 3.67Кб
11. Exercise - Getting Started with Spark SQL.mp4 58.18Мб
11. Exercise - Getting Started with Spark SQL.srt 12.56Кб
11. Exercise - Partitioned Tables.mp4 27.01Мб
11. Exercise - Partitioned Tables.srt 5.46Кб
11. Exercises - Development of Map Reduce APIs.mp4 41.98Мб
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11. Get Order Count by Status.mp4 50.02Мб
11. Get Order Count by Status.srt 15.50Кб
11. Install Dependencies using requirements file for Web Application.mp4 43.80Мб
11. Install Dependencies using requirements file for Web Application.srt 5.29Кб
11. Intergrate Spark 2 with Jupyter Lab.mp4 38.77Мб
11. Intergrate Spark 2 with Jupyter Lab.srt 9.50Кб
11. Joining Data Frames.mp4 94.61Мб
11. Joining Data Frames.srt 18.50Кб
11. Jupyter Lab and Postgresql using Ubuntu VM.mp4 70.67Мб
11. Jupyter Lab and Postgresql using Ubuntu VM.srt 14.75Кб
11. list and set - Usage.mp4 59.80Мб
11. list and set - Usage.srt 11.34Кб
11. Managing Dependencies for the project.mp4 29.90Мб
11. Managing Dependencies for the project.srt 5.30Кб
11. Overview of Pycharm Integrated Terminal on Mac.mp4 12.26Мб
11. Overview of Pycharm Integrated Terminal on Mac.srt 5.85Кб
11. Processing dict items.mp4 36.52Мб
11. Processing dict items.srt 10.73Кб
11. Read Data from Files.mp4 63.62Мб
11. Read Data from Files.srt 12.28Кб
11. Recap - CRUD Operations.mp4 9.67Мб
11. Recap - CRUD Operations.srt 3.54Кб
11. Running Application from the Docker Container.mp4 51.82Мб
11. Running Application from the Docker Container.srt 9.60Кб
11. Solution - Daily Product Revenue.mp4 32.09Мб
11. Solution - Daily Product Revenue.srt 5.79Кб
11. Solution - Get Count of Flights without master data.mp4 18.32Мб
11. Solution - Get Count of Flights without master data.srt 4.22Кб
11. Sub Partitioning.mp4 41.98Мб
11. Sub Partitioning.srt 8.98Кб
11. Usage of Lambda Functions.mp4 79.27Мб
11. Usage of Lambda Functions.srt 11.45Кб
11. USing HDFS Stat Commands.mp4 10.79Мб
11. USing HDFS Stat Commands.srt 2.29Кб
11. Using itertools starmap.mp4 31.09Мб
11. Using itertools starmap.srt 8.79Кб
11. Using Spark SQL.mp4 57.88Мб
11. Using Spark SQL.srt 14.06Кб
11. Write to JSON files using json module.mp4 64.99Мб
11. Write to JSON files using json module.srt 10.86Кб
11. Writing Strings to file in Append Mode.mp4 33.46Мб
11. Writing Strings to file in Append Mode.srt 9.46Кб
12. [Code and Instructions] - Read data from files.html 1.51Кб
12.1 Aggregate data using rollup.html 151б
12.1 Analytic Functions – Ranking.html 160б
12.1 Create GitHub Project.html 157б
12.1 Exercises - Basic SQL Queries.html 158б
12.1 Exercises - Partitioning Tables.html 166б
12.1 Exercise - User Defined Functions.html 155б
12.1 HDFS File Permissions.html 141б
12.1 Solutions - Problem 6.html 139б
12.1 Truncating Tables.html 138б
12.1 Using Date and Time Trunc Functions.html 160б
12. Aggregate data using rollup.mp4 56.61Мб
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12. Analytic Functions - Ranking.mp4 72.65Мб
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12. Beginning Date or Time using date_trunc.mp4 28.04Мб
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12. Create GitHub Project.mp4 63.97Мб
12. Create GitHub Project.srt 11.79Кб
12. Create Virtual Environment for Data Engineering Application.mp4 27.02Мб
12. Create Virtual Environment for Data Engineering Application.srt 3.93Кб
12. Delete Docker Container.mp4 37.58Мб
12. Delete Docker Container.srt 7.75Кб
12. Download and Install Spark 3.mp4 14.65Мб
12. Download and Install Spark 3.srt 2.94Кб
12. Exercise - Partitioned Tables.mp4 9.79Мб
12. Exercise - Partitioned Tables.srt 2.69Кб
12. Exercises - Basic Operations on list and.mp4 15.66Мб
12. Exercises - Basic Operations on list and.srt 5.36Кб
12. Exercises - Writing Basic SQL Queries.mp4 23.99Мб
12. Exercises - Writing Basic SQL Queries.srt 5.38Кб
12. Exercise - User Defined Functions.mp4 12.18Мб
12. Exercise - User Defined Functions.srt 2.96Кб
12. Get Revenue Details per Order.mp4 99.79Мб
12. Get Revenue Details per Order.srt 24.31Кб
12. HDFS File Permissions.mp4 68.92Мб
12. HDFS File Permissions.srt 13.46Кб
12. Install sshuttle on Mac using brew.mp4 10.78Мб
12. Install sshuttle on Mac using brew.srt 4.63Кб
12. Managing Files and Folders using Python.mp4 115.22Мб
12. Managing Files and Folders using Python.srt 23.38Кб
12. Overview of itertools groupby.mp4 35.56Мб
12. Overview of itertools groupby.srt 10.34Кб
12. Overview of Run Time Arguments for Python Applications.mp4 21.48Мб
12. Overview of Run Time Arguments for Python Applications.srt 6.64Кб
12. Solution - Get Count of Flights per Airport without master data.mp4 23.86Мб
12. Solution - Get Count of Flights per Airport without master data.srt 5.77Кб
12. Sorting dict items.mp4 21.63Мб
12. Sorting dict items.srt 6.09Кб
12. Truncating Tables.mp4 16.55Мб
12. Truncating Tables.srt 3.08Кб
12. Using Date and Time Trunc Functions.mp4 42.15Мб
12. Using Date and Time Trunc Functions.srt 8.84Кб
12. Validate logic for table list as run time argument.mp4 68.92Мб
12. Validate logic for table list as run time argument.srt 11.70Кб
12. Write to JSON files using pandas.mp4 49.45Мб
12. Write to JSON files using pandas.srt 8.29Кб
13.1 Aggregate data using cube.html 149б
13.1 Analytic Functions - Filtering.html 161б
13.1 Date and Time Extract Functions.html 156б
13.1 Managed Tables - Exercise.html 146б
13.1 Overriding Properties.html 141б
13.1 Solutions - Problem 7.html 139б
13. Access Web Application using Private IP using SSH as proxy.mp4 42.94Мб
13. Access Web Application using Private IP using SSH as proxy.srt 9.15Кб
13. Aggregate data using cube.cmproj.mp4 55.85Мб
13. Aggregate data using cube.cmproj.srt 10.70Кб
13. Analytic Functions - Filtering.mp4 58.87Мб
13. Analytic Functions - Filtering.srt 16.05Кб
13. Configure Spark 3.mp4 58.91Мб
13. Configure Spark 3.srt 10.16Кб
13. Date and Time Extract Functions.mp4 25.04Мб
13. Date and Time Extract Functions.srt 6.79Кб
13. Exercise - Managed Tables.mp4 51.29Мб
13. Exercise - Managed Tables.srt 10.08Кб
13. Exercises - Overview of Collections - dict and set.mp4 15.75Мб
13. Exercises - Overview of Collections - dict and set.srt 4.96Кб
13. Get Order Count by Month.mp4 27.67Мб
13. Get Order Count by Month.srt 8.27Кб
13. Get order count by status using itertools groupby.mp4 25.53Мб
13. Get order count by status using itertools groupby.srt 6.80Кб
13. Install Dependencies for Data Engineering Application.mp4 52.53Мб
13. Install Dependencies for Data Engineering Application.srt 6.88Кб
13. List of Delimited Strings.mp4 26.73Мб
13. List of Delimited Strings.srt 7.76Кб
13. Overriding Properties.mp4 42.70Мб
13. Overriding Properties.srt 9.30Кб
13. Passing Run Time Arguments using Pycharm.mp4 20.45Мб
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13. Process Data using Spark APIs.mp4 43.62Мб
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13. Push changes to remote git repository.mp4 30.96Мб
13. Push changes to remote git repository.srt 5.94Кб
13. Solution - Get Daily Revenue.mp4 23.36Мб
13. Solution - Get Daily Revenue.srt 5.80Кб
13. Using to_char and to_date.mp4 74.11Мб
13. Using to_char and to_date.srt 14.97Кб
14. [Code and Instructions] - Process data using Spark APIs.html 1.42Кб
14.1 Joining Data Sets.html 155б
14.1 Overview of Sorting Data Frames.html 155б
14.1 Ranking and Filtering - Recap.html 161б
14.1 Solutions - Problem 8.html 139б
14.1 Using to_date and to_timestamp.html 155б
14. Extracting Information using extract.mp4 21.79Мб
14. Extracting Information using extract.srt 4.81Кб
14. Get revenue per order using itertools groupby.mp4 66.67Мб
14. Get revenue per order using itertools groupby.srt 15.42Кб
14. Install Dependencies for Data Engineering Application using Python 3.6.mp4 21.56Мб
14. Install Dependencies for Data Engineering Application using Python 3.6.srt 4.27Кб
14. Joining Data Sets.mp4 102.56Мб
14. Joining Data Sets.srt 19.42Кб
14. Overview of Sorting Data Frames.mp4 81.52Мб
14. Overview of Sorting Data Frames.srt 17.88Кб
14. Ranking and Filtering - Recap.mp4 19.18Мб
14. Ranking and Filtering - Recap.srt 4.85Кб
14. Solution - Get Daily Revenue rolled up till Yearly.mp4 31.18Мб
14. Solution - Get Daily Revenue rolled up till Yearly.srt 7.31Кб
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15.1 Solutions - Problem 1.html 142б
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17.1 Dealing with Nulls.html 143б
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19.1 Using CASE and WHEN.html 145б
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2.1 Create Dummy Data Frame.html 148б
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2.1 Getting Help.html 142б
2.1 GitHub repository for HR Database.html 95б
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2.1 Understanding GCP Web Console.html 157б
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3.1 Adding Pandas to the project.html 182б
3.1 Add required dependencies.html 176б
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3.1 Categories of Functions.html 148б
3.1 Common Operations.html 155б
3.1 Common Operations.html 157б
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3.1 Docker Cheat Sheet.html 147б
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3.1 Overview of GCP Pricing.html 151б
3.1 Overview of Series.html 148б
3.1 Overview of Spark SQL CLI.html 144б
3.1 Overview of Standard Transformations.html 174б
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3.1 Overview of Windowing Functions.html 154б
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3.1 Python CLI and Jupyter Notebook.html 160б
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4.1 Accessing Elements - tuples.html 165б
4.1 Accessing Postgres using Docker CLI.html 164б
4.1 Adding Comments.html 136б
4.1 Aggregations using Windowing Functions.html 161б
4.1 Copying files from local to HDFS.html 152б
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4.1 CTAS - Create Table as Select.html 156б
4.1 Data Types - Commonly used.html 154б
4.1 DDL - Data Definition Language.html 158б
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4.1 Preparing Tables.html 147б
4.1 Provision Ubuntu 18.04 Virtual Machine.html 153б
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4.1 Setup Docker.html 145б
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4.1 String Manipulation Functions.html 153б
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8. Cleanup Python Virtual Environment.mp4 14.50Мб
8. Cleanup Python Virtual Environment.srt 2.44Кб
8. Configure Spark 2.mp4 66.77Мб
8. Configure Spark 2.srt 13.36Кб
8. Create Function for Spark Session.mp4 41.27Мб
8. Create Function for Spark Session.srt 7.92Кб
8. Create Partitioned Tables.mp4 63.03Мб
8. Create Partitioned Tables.srt 14.22Кб
8. Creating External Tables.mp4 25.06Мб
8. Creating External Tables.srt 4.69Кб
8. Date Manipulation Functions.mp4 76.62Мб
8. Date Manipulation Functions.srt 16.82Кб
8. Dealing with Nulls.mp4 48.64Мб
8. Dealing with Nulls.srt 11.50Кб
8. Download Postgres Driver.mp4 39.28Мб
8. Download Postgres Driver.srt 8.70Кб
8. Exercise - Database Operations.mp4 46.08Мб
8. Exercise - Database Operations.srt 6.99Кб
8. Get total commission amount.mp4 37.68Мб
8. Get total commission amount.srt 11.42Кб
8. Hash Partitioning.mp4 26.63Мб
8. Hash Partitioning.srt 6.08Кб
8. HDFS Block Size.mp4 40.64Мб
8. HDFS Block Size.srt 7.45Кб
8. Increase EBS Volume Size of Cloud9 Instance.mp4 21.15Мб
8. Increase EBS Volume Size of Cloud9 Instance.srt 5.51Кб
8. Joining Tables - Outer.mp4 56.20Мб
8. Joining Tables - Outer.mp4 56.18Мб
8. Joining Tables - Outer.srt 11.04Кб
8. Joining Tables - Outer.srt 10.78Кб
8. Leveraging Google Colab.mp4 85.66Мб
8. Leveraging Google Colab.srt 23.04Кб
8. List of Tuples.mp4 77.99Мб
8. List of Tuples.srt 16.56Кб
8. Loading Data - Docker.mp4 66.17Мб
8. Loading Data - Docker.srt 12.48Кб
8. Loading Data into Partitioned Tables.mp4 64.81Мб
8. Loading Data into Partitioned Tables.srt 10.57Кб
8. Managing Spark Metastore Tables.mp4 17.51Мб
8. Managing Spark Metastore Tables.srt 4.63Кб
8. Order of execution of SQL.cmproj.mp4 47.38Мб
8. Order of execution of SQL.cmproj.srt 9.46Кб
8. Overview of Analytic Functions.mp4 38.17Мб
8. Overview of Analytic Functions.srt 7.34Кб
8. Overview of modes to write into files.mp4 49.72Мб
8. Overview of modes to write into files.srt 13.11Кб
8. Overview of Public IP Address associated with a server.mp4 38.06Мб
8. Overview of Public IP Address associated with a server.srt 7.43Кб
8. Overview of Sequences.mp4 107.76Мб
8. Overview of Sequences.srt 19.53Кб
8. Overview of Spark Write APIs.mp4 79.91Мб
8. Overview of Spark Write APIs.srt 15.49Кб
8. Padding Characters around Strings.mp4 36.95Мб
8. Padding Characters around Strings.srt 8.36Кб
8. Passing Environment Variables to Docker Container.mp4 68.38Мб
8. Passing Environment Variables to Docker Container.srt 9.94Кб
8. Performing Total Aggregations.mp4 80.10Мб
8. Performing Total Aggregations.srt 20.05Кб
8. Process JSON using Pandas.mp4 58.30Мб
8. Process JSON using Pandas.srt 9.14Кб
8. Quick recap of dict operations.mp4 39.07Мб
8. Quick recap of dict operations.srt 8.09Кб
8. Recap of User Defined Functions.mp4 91.95Мб
8. Recap of User Defined Functions.srt 15.96Кб
8. Setup Database and Tables as part of Docker based Database Server.mp4 37.38Мб
8. Setup Database and Tables as part of Docker based Database Server.srt 6.29Кб
8. Setup Postgres Database for development.mp4 52.40Мб
8. Setup Postgres Database for development.srt 9.38Кб
8. Solution - Get Flight Count Per US State.mp4 16.98Мб
8. Solution - Get Flight Count Per US State.srt 4.35Кб
8. Start and Validate YARN.mp4 14.29Мб
8. Start and Validate YARN.srt 3.09Кб
8. String Replacement.mp4 45.57Мб
8. String Replacement.srt 10.01Кб
8. TCL - Transaction Control Language.mp4 8.55Мб
8. TCL - Transaction Control Language.srt 1.90Кб
8. Updating Existing Table Data.mp4 20.03Мб
8. Updating Existing Table Data.srt 5.97Кб
8. Using BETWEEN Operator.mp4 31.58Мб
8. Using BETWEEN Operator.srt 8.47Кб
8. Validate myReduceByKey Function.mp4 60.70Мб
8. Validate myReduceByKey Function.srt 20.12Кб
8. Validate write logic.mp4 60.64Мб
8. Validate write logic.srt 11.49Кб
8. Writing iterables to files using csv.mp4 58.08Мб
8. Writing iterables to files using csv.srt 14.05Кб
8. Writing Pandas Dataframe to table.mp4 67.06Мб
8. Writing Pandas Dataframe to table.srt 12.83Кб
9. [Code and Instructions] - Create Function for Spark Session.html 1.18Кб
9.1 Aggregating Data.html 141б
9.1 airtrafficdata.zip 29.36Мб
9.1 Analytic Functions – Aggregations.html 165б
9.1 Date Manipulation Functions.html 153б
9.1 Dealing with Nulls while Filtering.html 158б
9.1 Deleting Data from Table.html 162б
9.1 Example - Data Engineering.html 154б
9.1 HDFS Replication Factor.html 143б
9.1 Inserting Data into Partitions.html 154б
9.1 List of dicts.html 153б
9.1 Managed Tables vs. External Tables.html 147б
9.1 Managing Partitions - Hash.html 161б
9.1 Overview of Postgres Commands.html 153б
9.1 Overview of Sub Queries.html 146б
9.1 Passing Functions as Arguments.html 154б
9.1 Performing Aggregations.html 154б
9.1 Performing Grouped Aggregations.html 161б
9.1 Performing Total Aggregations.html 167б
9.1 Retrieve Metadata of Tables.html 146б
9.1 Running OS Commands.html 149б
9.1 Saving as Partitioned Tables.html 146б
9.1 Solutions - Problem 3.html 139б
9.1 SQL Workbench and Postgres.html 155б
9.1 Trimming Characters from Strings.html 157б
9.1 Truncating Tables.html 150б
9.1 Typical set operations.html 160б
9.1 Using CASE and WHEN.html 143б
9.1 Validating users data.html 172б
9. Add Data Copier Container to custom network.mp4 42.45Мб
9. Add Data Copier Container to custom network.srt 6.52Кб
9. Advantages of using csv module.mp4 10.12Мб
9. Advantages of using csv module.srt 2.41Кб
9. Aggregation Data.mp4 81.30Мб
9. Aggregation Data.srt 15.97Кб
9. Analytic Functions - Aggregations.mp4 66.35Мб
9. Analytic Functions - Aggregations.srt 13.26Кб
9. Building Custom Docker Image for application.mp4 34.42Мб
9. Building Custom Docker Image for application.srt 5.30Кб
9. Connecting to Postgres using SQL Workbench.mp4 78.35Мб
9. Connecting to Postgres using SQL Workbench.srt 17.10Кб
9. Date Manipulation Functions.mp4 12.15Мб
9. Date Manipulation Functions.srt 2.96Кб
9. Dealing with Nulls while Filtering.mp4 41.15Мб
9. Dealing with Nulls while Filtering.srt 8.65Кб
9. Deleting Data From Table.mp4 14.74Мб
9. Deleting Data From Table.srt 4.37Кб
9. Develop myJoin Function.mp4 29.12Мб
9. Develop myJoin Function.srt 10.50Кб
9. Different JSON Formats supported by Pandas.mp4 79.88Мб
9. Different JSON Formats supported by Pandas.srt 11.54Кб
9. Example - Data Engineering.mp4 49.26Мб
9. Example - Data Engineering.srt 8.91Кб
9. Exercises - Predefined Functions in Python.mp4 11.40Мб
9. Exercises - Predefined Functions in Python.srt 3.69Кб
9. HDFS Replication Factor.mp4 57.52Мб
9. HDFS Replication Factor.srt 11.39Кб
9. How to access data sets used in this course.html 812б
9. Inserting Data into Partitions.mp4 23.21Мб
9. Inserting Data into Partitions.srt 4.70Кб
9. Installing OS libraries as part of Docker container.mp4 15.34Мб
9. Installing OS libraries as part of Docker container.srt 4.27Кб
9. Install Python Packages using Pycharm.mp4 13.58Мб
9. Install Python Packages using Pycharm.srt 5.16Кб
9. Integrate read and write logic.mp4 36.37Мб
9. Integrate read and write logic.srt 6.42Кб
9. List of dicts.mp4 59.82Мб
9. List of dicts.srt 11.58Кб
9. Managed Tables vs External Tables.mp4 39.08Мб
9. Managed Tables vs External Tables.srt 6.47Кб
9. Managing Partitions - Hash.mp4 46.43Мб
9. Managing Partitions - Hash.srt 9.30Кб
9. Managing Single Node Hadoop.mp4 20.23Мб
9. Managing Single Node Hadoop.srt 6.68Кб
9. Overview of Delimited Strings.mp4 27.13Мб
9. Overview of Delimited Strings.srt 6.90Кб
9. Overview of itertools.mp4 30.78Мб
9. Overview of itertools.srt 7.68Кб
9. Overview of Postgres Database Commands.mp4 62.02Мб
9. Overview of Postgres Database Commands.srt 16.07Кб
9. Overview of Subqueries.mp4 23.66Мб
9. Overview of Subqueries.srt 6.02Кб
9. Passing Functions as Arguments.mp4 35.79Мб
9. Passing Functions as Arguments.srt 9.34Кб
9. Performing Aggregations.mp4 94.99Мб
9. Performing Aggregations.srt 17.02Кб
9. Performing Grouped Aggregations.mp4 76.57Мб
9. Performing Grouped Aggregations.srt 17.74Кб
9. Performing Total Aggregations.mp4 96.86Мб
9. Performing Total Aggregations.srt 23.29Кб
9. Recreate and Activate Virtual Environment for Web Application.mp4 6.60Мб
9. Recreate and Activate Virtual Environment for Web Application.srt 3.79Кб
9. Retrieve Metadata of Tables.mp4 15.25Мб
9. Retrieve Metadata of Tables.srt 3.27Кб
9. Running os commands.mp4 75.11Мб
9. Running os commands.srt 15.18Кб
9. Saving as Partitioned Table.mp4 36.01Мб
9. Saving as Partitioned Table.srt 7.89Кб
9. Setup Jupyter Lab on Cloud9.mp4 47.58Мб
9. Setup Jupyter Lab on Cloud9.srt 11.07Кб
9. Setup Web Application and access using local ip.mp4 42.18Мб
9. Setup Web Application and access using local ip.srt 7.62Кб
9. Solution - Get Dormant US Airports.mp4 23.31Мб
9. Solution - Get Dormant US Airports.srt 5.55Кб
9. Trimming Characters from Strings.mp4 33.26Мб
9. Trimming Characters from Strings.srt 8.03Кб
9. Truncating Tables.mp4 54.82Мб
9. Truncating Tables.srt 9.74Кб
9. Typical set operations.mp4 11.00Мб
9. Typical set operations.srt 2.92Кб
9. Using CASE and WHEN.mp4 61.39Мб
9. Using CASE and WHEN.srt 10.39Кб
9. Validate Spark 2 using CLIs.mp4 66.22Мб
9. Validate Spark 2 using CLIs.srt 12.52Кб
9. Validating users data.mp4 15.22Мб
9. Validating users data.srt 3.45Кб
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