本站已收录个 番号和无损神作磁力链接/BT种子 

[Tutorialsplanet.NET] Udemy - Data Engineering Essentials Hands-on SQL Python and Spark

种子简介

种子名称： [Tutorialsplanet.NET] Udemy - Data Engineering Essentials Hands-on SQL Python and Spark
文件类型： 视频
文件数目： 446个文件
文件大小： 16.68 GB
收录时间： 2022-7-25 16:06
已经下载： 3次
资源热度： 288
最近下载： 2024-11-20 19:27

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:df80d0fb7cf736a58e83d90936c820b812b9ee57&dn=[Tutorialsplanet.NET] Udemy - Data Engineering Essentials Hands-on SQL Python and Spark 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

Tutorialsplanet NET Udemy - Data Engineering Essentials Hands-on SQL Python and Spark

种子包含的文件

[Tutorialsplanet.NET] Udemy - Data Engineering Essentials Hands-on SQL Python and Spark.torrent
  • 1. Introduction about the course/1. Introduction about course.mp438.1MB
  • 1. Introduction about the course/2. Desired Audience.mp420.51MB
  • 1. Introduction about the course/3. Pre-requisites.mp432.13MB
  • 1. Introduction about the course/4. [Must Watch] 30 Day Money Back Guarantee - Feedback and Rating.mp46.04MB
  • 1. Introduction about the course/5. Training Approach.mp436.72MB
  • 1. Introduction about the course/6. Overview of Environments for Hands on Practice (Must Watch).mp421.23MB
  • 1. Introduction about the course/8. [Must Watch] Setting up Course Material.mp458.35MB
  • 10. Database Essentials - Partitioning Tables and Indexes/1. Overview of Partitioning.mp48.91MB
  • 10. Database Essentials - Partitioning Tables and Indexes/10. Usage Scenarios.mp428.19MB
  • 10. Database Essentials - Partitioning Tables and Indexes/11. Sub Partitioning.mp441.98MB
  • 10. Database Essentials - Partitioning Tables and Indexes/12. Exercise - Partitioned Tables.mp49.79MB
  • 10. Database Essentials - Partitioning Tables and Indexes/2. List Partitioning.mp427.93MB
  • 10. Database Essentials - Partitioning Tables and Indexes/3. Managing Partitions - List.mp452.59MB
  • 10. Database Essentials - Partitioning Tables and Indexes/4. Manipulating Data.mp430.79MB
  • 10. Database Essentials - Partitioning Tables and Indexes/5. Range Partitioning.mp418.9MB
  • 10. Database Essentials - Partitioning Tables and Indexes/6. Managing Partitions - Range.mp446.12MB
  • 10. Database Essentials - Partitioning Tables and Indexes/7. Repartitioning - Range.mp473.35MB
  • 10. Database Essentials - Partitioning Tables and Indexes/8. Hash Partitioning.mp426.63MB
  • 10. Database Essentials - Partitioning Tables and Indexes/9. Managing Partitions - Hash.mp446.43MB
  • 11. Database Essentials - Predefined Functions/1. Overview of Functions.mp441.4MB
  • 11. Database Essentials - Predefined Functions/10. Getting Current Date or Timestamp.mp422.45MB
  • 11. Database Essentials - Predefined Functions/11. Date Arithmetic.mp437.76MB
  • 11. Database Essentials - Predefined Functions/12. Beginning Date or Time using date_trunc.mp428.04MB
  • 11. Database Essentials - Predefined Functions/13. Using to_char and to_date.mp474.11MB
  • 11. Database Essentials - Predefined Functions/14. Extracting Information using extract.mp421.79MB
  • 11. Database Essentials - Predefined Functions/15. Dealing with Unix Timestamp or epoch.mp417.31MB
  • 11. Database Essentials - Predefined Functions/16. Overview of Numeric Functions.mp440.38MB
  • 11. Database Essentials - Predefined Functions/17. Data Type Conversion.mp423.29MB
  • 11. Database Essentials - Predefined Functions/18. Handling NULL Values.mp426.74MB
  • 11. Database Essentials - Predefined Functions/19. Using CASE and WHEN.mp445.58MB
  • 11. Database Essentials - Predefined Functions/2. String Manipulation Functions.mp47.81MB
  • 11. Database Essentials - Predefined Functions/3. Case Conversion and Length.mp426.6MB
  • 11. Database Essentials - Predefined Functions/4. Extracting Data - Using substr and split_part.mp4101.89MB
  • 11. Database Essentials - Predefined Functions/5. Using position or strpos.mp433.59MB
  • 11. Database Essentials - Predefined Functions/6. Trimming and Padding Functions.mp436MB
  • 11. Database Essentials - Predefined Functions/7. Reverse and Concatenate Multiple Strings.mp419.88MB
  • 11. Database Essentials - Predefined Functions/8. String Replacement.mp445.57MB
  • 11. Database Essentials - Predefined Functions/9. Date Manipulation Functions.mp412.15MB
  • 12. Database Essentials - Writing Advanced SQL Queries/1. Overview of Views.mp446.75MB
  • 12. Database Essentials - Writing Advanced SQL Queries/10. Cumulative or Moving Aggregations.mp451.16MB
  • 12. Database Essentials - Writing Advanced SQL Queries/11. Analytic Functions - Windowing.mp482.29MB
  • 12. Database Essentials - Writing Advanced SQL Queries/12. Analytic Functions - Ranking.mp472.65MB
  • 12. Database Essentials - Writing Advanced SQL Queries/13. Analytic Functions - Filtering.mp458.87MB
  • 12. Database Essentials - Writing Advanced SQL Queries/14. Ranking and Filtering - Recap.mp419.18MB
  • 12. Database Essentials - Writing Advanced SQL Queries/2. Overview of Named Queries.mp427.4MB
  • 12. Database Essentials - Writing Advanced SQL Queries/3. Overview of Sub Queries.mp441.45MB
  • 12. Database Essentials - Writing Advanced SQL Queries/4. CTAS - Create Table As Select.mp452.14MB
  • 12. Database Essentials - Writing Advanced SQL Queries/5. Advanced DML Operations.mp487.46MB
  • 12. Database Essentials - Writing Advanced SQL Queries/6. Merging or Upserting Data.mp455.67MB
  • 12. Database Essentials - Writing Advanced SQL Queries/7. Pivoting Rows into Columns.mp48.07MB
  • 12. Database Essentials - Writing Advanced SQL Queries/8. Overview of Analytic Functions.mp438.17MB
  • 12. Database Essentials - Writing Advanced SQL Queries/9. Analytic Functions - Aggregations.mp466.35MB
  • 13. Programming Essentials using Python - Perform Database Operations/1. Introduction - Perform Database Operations.mp49.2MB
  • 13. Programming Essentials using Python - Perform Database Operations/10. Example - Web Application.mp467.32MB
  • 13. Programming Essentials using Python - Perform Database Operations/11. Exercise - Database Operations.mp418.74MB
  • 13. Programming Essentials using Python - Perform Database Operations/2. Overview of SQL.mp414.55MB
  • 13. Programming Essentials using Python - Perform Database Operations/3. Create Database and Users Table.mp453.25MB
  • 13. Programming Essentials using Python - Perform Database Operations/4. DDL - Data Definition Language.mp440.96MB
  • 13. Programming Essentials using Python - Perform Database Operations/5. DML - Data Manipulation Language.mp441.93MB
  • 13. Programming Essentials using Python - Perform Database Operations/6. DQL - Data Query Language.mp431.35MB
  • 13. Programming Essentials using Python - Perform Database Operations/7. CRUD Operations - DML and DQL.mp413.58MB
  • 13. Programming Essentials using Python - Perform Database Operations/8. TCL - Transaction Control Language.mp48.55MB
  • 13. Programming Essentials using Python - Perform Database Operations/9. Example - Data Engineering.mp449.26MB
  • 14. Programming Essentials using Python - Getting Started with Python/1. Installing Python on Windows.mp448.48MB
  • 14. Programming Essentials using Python - Getting Started with Python/2. Overview of Anaconda.mp466.29MB
  • 14. Programming Essentials using Python - Getting Started with Python/3. Python CLI and Jupyter Notebook.mp455.59MB
  • 14. Programming Essentials using Python - Getting Started with Python/4. Overview of Jupyter Lab.mp438.25MB
  • 14. Programming Essentials using Python - Getting Started with Python/5. Using IDEs - Pycharm.mp442.97MB
  • 14. Programming Essentials using Python - Getting Started with Python/6. Using Visual Studio Code.mp430.52MB
  • 14. Programming Essentials using Python - Getting Started with Python/7. Using ITVersity Labs.mp441.07MB
  • 14. Programming Essentials using Python - Getting Started with Python/8. Leveraging Google Colab.mp485.66MB
  • 15. Programming Essentials using Python - Basic Programming Constructs/1. Basic Programming Constructs using Python - Introduction.mp48.67MB
  • 15. Programming Essentials using Python - Basic Programming Constructs/10. Exercises - Basic Programming Constructs.mp435.24MB
  • 15. Programming Essentials using Python - Basic Programming Constructs/11. Dynamic Arithmetic Operations using eval and exec.mp416.38MB
  • 15. Programming Essentials using Python - Basic Programming Constructs/2. Getting Help.mp422.02MB
  • 15. Programming Essentials using Python - Basic Programming Constructs/3. Variables and Objects.mp410.44MB
  • 15. Programming Essentials using Python - Basic Programming Constructs/4. Data Type - Commonly Used.mp48.49MB
  • 15. Programming Essentials using Python - Basic Programming Constructs/5. Operators in Python.mp413.19MB
  • 15. Programming Essentials using Python - Basic Programming Constructs/6. Tasks - Data Types and Operators.mp437.95MB
  • 15. Programming Essentials using Python - Basic Programming Constructs/7. Conditionals.mp458.46MB
  • 15. Programming Essentials using Python - Basic Programming Constructs/8. All about for loops.mp481.98MB
  • 15. Programming Essentials using Python - Basic Programming Constructs/9. Running os commands.mp475.11MB
  • 16. Programming Essentials using Python - Predefined Functions/1. Predefined Functions - Introduction.mp46.84MB
  • 16. Programming Essentials using Python - Predefined Functions/2. Overview of Predefined Functions.mp425.84MB
  • 16. Programming Essentials using Python - Predefined Functions/3. Numeric Functions.mp430.23MB
  • 16. Programming Essentials using Python - Predefined Functions/4. Overview of Strings.mp423.81MB
  • 16. Programming Essentials using Python - Predefined Functions/5. String Manipulation Functions.mp447.86MB
  • 16. Programming Essentials using Python - Predefined Functions/6. Formatting Strings.mp428.2MB
  • 16. Programming Essentials using Python - Predefined Functions/7. Print and Input Functions.mp434MB
  • 16. Programming Essentials using Python - Predefined Functions/8. Date Manipulation Functions.mp476.62MB
  • 16. Programming Essentials using Python - Predefined Functions/9. Exercises - Predefined Functions in Python.mp411.4MB
  • 17. Programming Essentials using Python - User Defined Functions/1. User Defined Functions - Introduction.mp47.34MB
  • 17. Programming Essentials using Python - User Defined Functions/10. Lambda Functions.mp427.17MB
  • 17. Programming Essentials using Python - User Defined Functions/11. Usage of Lambda Functions.mp479.27MB
  • 17. Programming Essentials using Python - User Defined Functions/12. Exercise - User Defined Functions.mp412.18MB
  • 17. Programming Essentials using Python - User Defined Functions/2. Defining Functions.mp420.29MB
  • 17. Programming Essentials using Python - User Defined Functions/3. Doc Strings.mp419.86MB
  • 17. Programming Essentials using Python - User Defined Functions/4. Returning Variables.mp421.86MB
  • 17. Programming Essentials using Python - User Defined Functions/5. Function Parameters and Arguments.mp456.47MB
  • 17. Programming Essentials using Python - User Defined Functions/6. Varying Arguments.mp441.4MB
  • 17. Programming Essentials using Python - User Defined Functions/7. Keyword Arguments.mp417.28MB
  • 17. Programming Essentials using Python - User Defined Functions/8. Recap of User Defined Functions.mp491.95MB
  • 17. Programming Essentials using Python - User Defined Functions/9. Passing Functions as Arguments.mp435.79MB
  • 18/1. Overview of Collections - list and set - Introduction.mp410.25MB
  • 18/10. Validating sets.mp413.06MB
  • 18/11. list and set - Usage.mp459.8MB
  • 18/12. Exercises - Basic Operations on list and.mp415.66MB
  • 18/13. List of Delimited Strings.mp426.73MB
  • 18/14. Sorting data in lists and tuples.mp436.66MB
  • 18/15. Sorting list of Delimited Strings.mp447.41MB
  • 18/16. Exercises - Sorting lists and sets.mp434.01MB
  • 18/2. Overview of list and set.mp428.6MB
  • 18/3. Common Operations.mp413.37MB
  • 18/4. Accessing elements from list.mp424.82MB
  • 18/5. Adding elements to list.mp416.92MB
  • 18/6. Updating and Deleting elements -list.mp413.88MB
  • 18/7. Other list operations.mp415.19MB
  • 18/8. Adding and Deleting elements - set.mp427.01MB
  • 18/9. Typical set operations.mp411MB
  • 19/1. Manipulating Collections using loops - Introduction.mp48.86MB
  • 19/10. Process dict values.mp419.96MB
  • 19/11. Processing dict items.mp436.52MB
  • 19/12. Sorting dict items.mp421.63MB
  • 19/13. Exercises - Overview of Collections - dict and set.mp415.75MB
  • 19/2. Overview of dict and tuple.mp433.32MB
  • 19/3. Common Operations - dict and tuple.mp425.86MB
  • 19/4. Accessing Elements - tuples.mp425.5MB
  • 19/5. Accessing Elements - dict.mp435.94MB
  • 19/6. Manipulating dict.mp465.54MB
  • 19/7. Common Examples - dict.mp436.48MB
  • 19/8. List of Tuples.mp477.99MB
  • 19/9. List of dicts.mp459.82MB
  • 2. Setting up Environment using AWS Cloud9/1. Getting Started with Cloud9.mp423.23MB
  • 2. Setting up Environment using AWS Cloud9/2. Creating Cloud9 Environment.mp433.91MB
  • 2. Setting up Environment using AWS Cloud9/3. Warming up with Cloud9 IDE.mp420.99MB
  • 2. Setting up Environment using AWS Cloud9/4. Details about material to setup postgres database using docker.mp49.92MB
  • 2. Setting up Environment using AWS Cloud9/5. Overview of EC2 related to Cloud9.mp410.37MB
  • 2. Setting up Environment using AWS Cloud9/6. Opening ports for Cloud9 Instance.mp422.7MB
  • 2. Setting up Environment using AWS Cloud9/7. Associating Elastic IPs to Cloud9 Instance.mp436.23MB
  • 2. Setting up Environment using AWS Cloud9/8. Increase EBS Volume Size of Cloud9 Instance.mp421.15MB
  • 2. Setting up Environment using AWS Cloud9/9. Setup Jupyter Lab on Cloud9.mp447.58MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/1. Manipulating Collections using loops - Introduction.mp414.3MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/10. Overview of Grouped Aggregations.mp413.43MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/11. Get Order Count by Status.mp450.02MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/12. Get Revenue Details per Order.mp499.79MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/13. Get Order Count by Month.mp427.67MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/14. Joining Data Sets.mp4102.56MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/15. Manipulate Collections using Comprehensions.mp46.25MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/16. List Comprehensions using Python.mp444.71MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/17. Set Comprehensions using Python.mp419MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/18. Dict Comprehensions in Python.mp430.66MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/19. Limitations of using loops.mp436.33MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/2. Reading Files into Collections.mp426.75MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/20. Exercises - Manipulating Collections using loops.mp449.95MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/3. Overview of Standard Transformations.mp426.39MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/4. Row Level Transformations.mp485.19MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/5. Getting Unique Elements.mp464.73MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/6. Filtering Data.mp485.42MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/7. Preparing Data Sets.mp437.58MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/8. Quick recap of dict operations.mp439.07MB
  • 20. Programming Essentials using Python - Manipulating Collections using loops/9. Performing Total Aggregations.mp496.86MB
  • 21. Programming Essentials using Python - Development of Map Reduce APIs/1. Develop myFilter.mp438.67MB
  • 21. Programming Essentials using Python - Development of Map Reduce APIs/10. Validate myJoin Function.mp446.88MB
  • 21. Programming Essentials using Python - Development of Map Reduce APIs/11. Exercises - Development of Map Reduce APIs.mp441.98MB
  • 21. Programming Essentials using Python - Development of Map Reduce APIs/2. Validate myFilter.mp445.69MB
  • 21. Programming Essentials using Python - Development of Map Reduce APIs/3. Develop myMap Function.mp430.72MB
  • 21. Programming Essentials using Python - Development of Map Reduce APIs/4. Validate myMap Function.mp463.52MB
  • 21. Programming Essentials using Python - Development of Map Reduce APIs/5. Develop myReduce Function.mp421.1MB
  • 21. Programming Essentials using Python - Development of Map Reduce APIs/6. Validate myReduce Function.mp430.23MB
  • 21. Programming Essentials using Python - Development of Map Reduce APIs/7. Develop myReduceByKey Function.mp425.71MB
  • 21. Programming Essentials using Python - Development of Map Reduce APIs/8. Validate myReduceByKey Function.mp460.7MB
  • 21. Programming Essentials using Python - Development of Map Reduce APIs/9. Develop myJoin Function.mp429.12MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/1. Preparing Data Sets.mp418.14MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/10. Cumulative Operations using itertools.mp448.63MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/11. Using itertools starmap.mp431.09MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/12. Overview of itertools groupby.mp435.56MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/13. Get order count by status using itertools groupby.mp425.53MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/14. Get revenue per order using itertools groupby.mp466.67MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/15. Limitations of Map Reduce Libraries.mp412.92MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/16. Exercises - Understanding Map Reduce Libraries.mp411.57MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/2. Filtering Data using filter.mp443.77MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/3. Projecting data using map.mp436.87MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/4. Row Level Transformations using map.mp470.09MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/5. Aggregations using reduce.mp443.16MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/6. Get Revenue for a given product id.mp446.66MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/7. Get total items sold and revenue for a product.mp432.05MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/8. Get total commission amount.mp437.68MB
  • 22. Programming Essentials using Python - Understanding Map Reduce Libraries/9. Overview of itertools.mp430.78MB
  • 23. Programming Essentials using Python - Basics of File IO using Python/1. Basics of File IO using Python - Introduction.mp419.15MB
  • 23. Programming Essentials using Python - Basics of File IO using Python/10. Read csv into list of strings.mp458.97MB
  • 23. Programming Essentials using Python - Basics of File IO using Python/11. Writing Strings to file in Append Mode.mp433.46MB
  • 23. Programming Essentials using Python - Basics of File IO using Python/12. Managing Files and Folders using Python.mp4115.22MB
  • 23. Programming Essentials using Python - Basics of File IO using Python/2. Overview of File IO.mp418.67MB
  • 23. Programming Essentials using Python - Basics of File IO using Python/3. Folders and Files.mp484.58MB
  • 23. Programming Essentials using Python - Basics of File IO using Python/4. File Paths and Names.mp428.31MB
  • 23. Programming Essentials using Python - Basics of File IO using Python/5. Overview of Retail Data.mp435.72MB
  • 23. Programming Essentials using Python - Basics of File IO using Python/6. Read text file into string.mp433.53MB
  • 23. Programming Essentials using Python - Basics of File IO using Python/7. Write string to text file.mp437.38MB
  • 23. Programming Essentials using Python - Basics of File IO using Python/8. Overview of modes to write into files.mp449.72MB
  • 23. Programming Essentials using Python - Basics of File IO using Python/9. Overview of Delimited Strings.mp427.13MB
  • 24. Programming Essentials using Python - Delimited Files and Collections/1. Delimited Files and Collections.mp49.22MB
  • 24. Programming Essentials using Python - Delimited Files and Collections/10. Apply Schema on lists from files.mp478.09MB
  • 24. Programming Essentials using Python - Delimited Files and Collections/2. Overview of Delimited Text Files.mp459.24MB
  • 24. Programming Essentials using Python - Delimited Files and Collections/3. Recap of basic file IO.mp458.53MB
  • 24. Programming Essentials using Python - Delimited Files and Collections/4. Read Delimited files into list of tuples.mp483.11MB
  • 24. Programming Essentials using Python - Delimited Files and Collections/5. Write Delimited Strings into files.mp472.05MB
  • 24. Programming Essentials using Python - Delimited Files and Collections/6. Overview of CSV Module.mp451.34MB
  • 24. Programming Essentials using Python - Delimited Files and Collections/7. Read Delimited data using CSV.mp482.96MB
  • 24. Programming Essentials using Python - Delimited Files and Collections/8. Writing iterables to files using csv.mp458.08MB
  • 24. Programming Essentials using Python - Delimited Files and Collections/9. Advantages of using csv module.mp410.12MB
  • 25. Programming Essentials using Python - Overview of Pandas Libraries/1. Overview of Pandas Libraries.mp412.33MB
  • 25. Programming Essentials using Python - Overview of Pandas Libraries/10. Writing Data Frames to Files.mp475.74MB
  • 25. Programming Essentials using Python - Overview of Pandas Libraries/11. Joining Data Frames.mp494.61MB
  • 25. Programming Essentials using Python - Overview of Pandas Libraries/2. Pandas Data Structures.mp441.64MB
  • 25. Programming Essentials using Python - Overview of Pandas Libraries/3. Overview of series.mp425.52MB
  • 25. Programming Essentials using Python - Overview of Pandas Libraries/4. Creating Data Frames from lists.mp423.85MB
  • 25. Programming Essentials using Python - Overview of Pandas Libraries/5. Data Frames - Basic Operations.mp491.93MB
  • 25. Programming Essentials using Python - Overview of Pandas Libraries/6. CSV to Pandas Data Frames.mp449MB
  • 25. Programming Essentials using Python - Overview of Pandas Libraries/7. Projecting and Filtering.mp476.41MB
  • 25. Programming Essentials using Python - Overview of Pandas Libraries/8. Performing Total Aggregations.mp480.1MB
  • 25. Programming Essentials using Python - Overview of Pandas Libraries/9. Performing Grouped Aggregations.mp476.57MB
  • 26. Programming Essentials using Python - Database Programming - CRUD Operations/1. Database Operations - CRUD Operations - Introduction.mp410.13MB
  • 26. Programming Essentials using Python - Database Programming - CRUD Operations/10. Querying Data From Table.mp470.15MB
  • 26. Programming Essentials using Python - Database Programming - CRUD Operations/11. Recap - CRUD Operations.mp49.67MB
  • 26. Programming Essentials using Python - Database Programming - CRUD Operations/2. Overview of Database Programming.mp427.84MB
  • 26. Programming Essentials using Python - Database Programming - CRUD Operations/3. Recap of RDBMS Concepts.mp447.81MB
  • 26. Programming Essentials using Python - Database Programming - CRUD Operations/4. Setup Database Client Libraries.mp458.59MB
  • 26. Programming Essentials using Python - Database Programming - CRUD Operations/5. Function Get Database Connection.mp420.97MB
  • 26. Programming Essentials using Python - Database Programming - CRUD Operations/6. Create Database Table.mp444.6MB
  • 26. Programming Essentials using Python - Database Programming - CRUD Operations/7. Inserting Data into Table.mp485.14MB
  • 26. Programming Essentials using Python - Database Programming - CRUD Operations/8. Updating Existing Table Data.mp420.03MB
  • 26. Programming Essentials using Python - Database Programming - CRUD Operations/9. Deleting Data From Table.mp414.74MB
  • 27/1. Database Programming - Batch Operations - Introduction.mp48.08MB
  • 27/2. Recap of Insert.mp418.91MB
  • 27/3. Preparing Database.mp427.57MB
  • 27/4. Reading Data From File.mp434.25MB
  • 27/5. Batch Loading of Data.mp464.83MB
  • 27/6. Best Practices Batch Loading.mp410.41MB
  • 28. Programming Essentials using Python - Processing JSON Data/1. Processing JSON Data - Introduction.mp49.49MB
  • 28. Programming Essentials using Python - Processing JSON Data/10. Common Use Cases for JSON.mp476.28MB
  • 28. Programming Essentials using Python - Processing JSON Data/11. Write to JSON files using json module.mp464.99MB
  • 28. Programming Essentials using Python - Processing JSON Data/12. Write to JSON files using pandas.mp449.45MB
  • 28. Programming Essentials using Python - Processing JSON Data/2. Overview of JSON.mp419.77MB
  • 28. Programming Essentials using Python - Processing JSON Data/3. JSON Data Types.mp414.72MB
  • 28. Programming Essentials using Python - Processing JSON Data/4. Create JSON String.mp461.1MB
  • 28. Programming Essentials using Python - Processing JSON Data/5. Process JSON String.mp4104.42MB
  • 28. Programming Essentials using Python - Processing JSON Data/6. Single JSON Document in Files.mp491.04MB
  • 28. Programming Essentials using Python - Processing JSON Data/7. Multiple JSON Documents in files.mp455.67MB
  • 28. Programming Essentials using Python - Processing JSON Data/8. Process JSON using Pandas.mp458.3MB
  • 28. Programming Essentials using Python - Processing JSON Data/9. Different JSON Formats supported by Pandas.mp479.88MB
  • 29. Programming Essentials using Python - Processing REST Payloads/1. Overview of REST APIs.mp426.04MB
  • 29. Programming Essentials using Python - Processing REST Payloads/2. Using curl command.mp444.63MB
  • 29. Programming Essentials using Python - Processing REST Payloads/3. Overview of Postman.mp447.32MB
  • 29. Programming Essentials using Python - Processing REST Payloads/4. Getting Started with requests.mp463.04MB
  • 29. Programming Essentials using Python - Processing REST Payloads/5. Convert REST Payload to Python Objects.mp453.7MB
  • 29. Programming Essentials using Python - Processing REST Payloads/6. Process REST Payload using Collection Operations.mp4131.13MB
  • 29. Programming Essentials using Python - Processing REST Payloads/7. Process REST Payload using Pandas.mp469.91MB
  • 3. Setting up Environment - Overview of GCP and Provision Ubuntu VM/1. Signing up for GCP.mp423.59MB
  • 3. Setting up Environment - Overview of GCP and Provision Ubuntu VM/2. Overview of GCP Web Console.mp414.24MB
  • 3. Setting up Environment - Overview of GCP and Provision Ubuntu VM/3. Overview of GCP Pricing.mp444.07MB
  • 3. Setting up Environment - Overview of GCP and Provision Ubuntu VM/4. Provision Ubuntu VM from GCP.mp453.55MB
  • 3. Setting up Environment - Overview of GCP and Provision Ubuntu VM/5. Setup Docker.mp474.5MB
  • 3. Setting up Environment - Overview of GCP and Provision Ubuntu VM/6. Validating Python.mp434.31MB
  • 3. Setting up Environment - Overview of GCP and Provision Ubuntu VM/7. Setup Jupyter Lab.mp478.91MB
  • 30. Understanding Python Virtual Environments/1. Introduction to Python Virtual Environments.mp41.8MB
  • 30. Understanding Python Virtual Environments/10. Define requirements file for Web Application.mp415.24MB
  • 30. Understanding Python Virtual Environments/11. Install Dependencies using requirements file for Web Application.mp443.8MB
  • 30. Understanding Python Virtual Environments/12. Create Virtual Environment for Data Engineering Application.mp427.02MB
  • 30. Understanding Python Virtual Environments/13. Install Dependencies for Data Engineering Application.mp452.53MB
  • 30. Understanding Python Virtual Environments/14. Install Dependencies for Data Engineering Application using Python 3.6.mp421.56MB
  • 30. Understanding Python Virtual Environments/15. Validate Python and Package Compatibility and Install Python 3.6.mp458.77MB
  • 30. Understanding Python Virtual Environments/16. Conclusion about understanding Python Virtual Environments.mp417.59MB
  • 30. Understanding Python Virtual Environments/2. Validating Python Versions.mp418.71MB
  • 30. Understanding Python Virtual Environments/3. Create Virtual Environment for Web Application.mp449.78MB
  • 30. Understanding Python Virtual Environments/4. Reviewing dependencies installed in Virtual Environment.mp416.12MB
  • 30. Understanding Python Virtual Environments/5. Installing Dependencies for Web Application using pip.mp445.57MB
  • 30. Understanding Python Virtual Environments/6. Getting Details about installed packages using pip.mp417.1MB
  • 30. Understanding Python Virtual Environments/7. Uninstall Packages using pip.mp427.07MB
  • 30. Understanding Python Virtual Environments/8. Cleanup Python Virtual Environment.mp414.5MB
  • 30. Understanding Python Virtual Environments/9. Recreate and Activate Virtual Environment for Web Application.mp46.6MB
  • 31. Overview of Pycharm for Python Application Development/1. Introduction to Pycharm for Python Application Development.mp44.28MB
  • 31. Overview of Pycharm for Python Application Development/10. Overview of Pycharm Integrated Terminal.mp425.38MB
  • 31. Overview of Pycharm for Python Application Development/11. Overview of Pycharm Integrated Terminal on Mac.mp412.26MB
  • 31. Overview of Pycharm for Python Application Development/12. Overview of Run Time Arguments for Python Applications.mp421.48MB
  • 31. Overview of Pycharm for Python Application Development/13. Passing Run Time Arguments using Pycharm.mp420.45MB
  • 31. Overview of Pycharm for Python Application Development/2. Installation of Pycharm on Windows.mp418.36MB
  • 31. Overview of Pycharm for Python Application Development/3. Installation of Pycharm on Mac.mp420.65MB
  • 31. Overview of Pycharm for Python Application Development/4. Setup Getting Started Project using Pycharm.mp430.22MB
  • 31. Overview of Pycharm for Python Application Development/5. Setup Getting Started Project using Pycharm on Mac.mp412.8MB
  • 31. Overview of Pycharm for Python Application Development/6. Setup de-demo project using Pycharm.mp415.4MB
  • 31. Overview of Pycharm for Python Application Development/7. Accessing Setting in Pycharm and Changing Font Size.mp49.01MB
  • 31. Overview of Pycharm for Python Application Development/8. Accessing Setting in Pycharm and Changing Font Size on Mac.mp413.89MB
  • 31. Overview of Pycharm for Python Application Development/9. Install Python Packages using Pycharm.mp413.58MB
  • 32. Data Copier - Getting Started/1. Introduction to Getting Started for Data copier.mp411.61MB
  • 32. Data Copier - Getting Started/10. Setup Project using Pycharm.mp430.68MB
  • 32. Data Copier - Getting Started/11. Managing Dependencies for the project.mp429.9MB
  • 32. Data Copier - Getting Started/12. Create GitHub Project.mp463.97MB
  • 32. Data Copier - Getting Started/2. Problem Statement - Data Copier.mp425.09MB
  • 32. Data Copier - Getting Started/3. Create Working Directory for the Project.mp48.73MB
  • 32. Data Copier - Getting Started/4. Setup Docker on Windows 10 Pro.mp446.13MB
  • 32. Data Copier - Getting Started/5. Quick Overview of Docker.mp4115.68MB
  • 32. Data Copier - Getting Started/6. Prepare Dataset.mp414.28MB
  • 32. Data Copier - Getting Started/7. Create Postgres Container.mp468.61MB
  • 32. Data Copier - Getting Started/8. Setup Postgres Database for development.mp452.4MB
  • 32. Data Copier - Getting Started/9. Overview of Postgres Database Commands.mp462.02MB
  • 33. Data Copier - Reading Data using Pandas/1. Reading Data using Pandas - Introduction.mp49.82MB
  • 33. Data Copier - Reading Data using Pandas/2. Overview of Retail Data.mp436.07MB
  • 33. Data Copier - Reading Data using Pandas/3. Adding Pandas to the project.mp431.76MB
  • 33. Data Copier - Reading Data using Pandas/4. Reading JSON Data using Pandas.mp451.06MB
  • 33. Data Copier - Reading Data using Pandas/5. Previewing Data using Pandas.mp448.66MB
  • 33. Data Copier - Reading Data using Pandas/6. Reading Data in Chunks using Pandas.mp437.62MB
  • 33. Data Copier - Reading Data using Pandas/7. Dynamically read files using os.mp428.43MB
  • 34. Data Copier - Database Programming using Pandas/1. Database Programming using Pandas - Introduction.mp411.85MB
  • 34. Data Copier - Database Programming using Pandas/10. Drop users table.mp415.31MB
  • 34. Data Copier - Database Programming using Pandas/2. Validate Postgres Setup using Docker.mp425.61MB
  • 34. Data Copier - Database Programming using Pandas/3. Add required dependencies for database programming using pandas.mp415.57MB
  • 34. Data Copier - Database Programming using Pandas/4. Create users table in retail_db Database.mp411.43MB
  • 34. Data Copier - Database Programming using Pandas/5. Populating Sample Data into users table.mp415.38MB
  • 34. Data Copier - Database Programming using Pandas/6. Reading data from table using Pandas.mp438.96MB
  • 34. Data Copier - Database Programming using Pandas/7. Truncate users table.mp416.1MB
  • 34. Data Copier - Database Programming using Pandas/8. Writing Pandas Dataframe to table.mp467.06MB
  • 34. Data Copier - Database Programming using Pandas/9. Validating users data.mp415.22MB
  • 35. Data Copier - Loading Data from files to tables/1. Loading Data from files to tables - Introduction.mp47.3MB
  • 35. Data Copier - Loading Data from files to tables/2. Populating Departments data into table.mp475.06MB
  • 35. Data Copier - Loading Data from files to tables/3. Validate departments table.mp422.19MB
  • 35. Data Copier - Loading Data from files to tables/4. Populating orders table in chunks.mp473.78MB
  • 35. Data Copier - Loading Data from files to tables/5. Validate orders table in database.mp426.08MB
  • 35. Data Copier - Loading Data from files to tables/6. Validate orders table using pandas.mp433.35MB
  • 36. Data Copier - Modularizing the application/1. Overview of main function.mp438.65MB
  • 36. Data Copier - Modularizing the application/10. Validate Integration logic.mp449.5MB
  • 36. Data Copier - Modularizing the application/11. Develop logic for multiple tables.mp434.6MB
  • 36. Data Copier - Modularizing the application/12. Validate logic for table list as run time argument.mp468.92MB
  • 36. Data Copier - Modularizing the application/13. Push changes to remote git repository.mp430.96MB
  • 36. Data Copier - Modularizing the application/2. Overview of Environment Variables.mp425.39MB
  • 36. Data Copier - Modularizing the application/3. Using os module for Environment Variables.mp450.37MB
  • 36. Data Copier - Modularizing the application/4. Passing Environment Variables using Pycharm.mp426.53MB
  • 36. Data Copier - Modularizing the application/5. Read logic using Pandas.mp465.73MB
  • 36. Data Copier - Modularizing the application/6. Validate read logic.mp453.43MB
  • 36. Data Copier - Modularizing the application/7. Write logic using Pandas.mp454.73MB
  • 36. Data Copier - Modularizing the application/8. Validate write logic.mp460.64MB
  • 36. Data Copier - Modularizing the application/9. Integrate read and write logic.mp436.37MB
  • 37. Data Copier - Dockerizing the application/1. Dockerizing the application - Introduction.mp44.85MB
  • 37. Data Copier - Dockerizing the application/10. Validate Network Connectivity between Docker Containers.mp422.5MB
  • 37. Data Copier - Dockerizing the application/11. Running Application from the Docker Container.mp451.82MB
  • 37. Data Copier - Dockerizing the application/12. Delete Docker Container.mp437.58MB
  • 37. Data Copier - Dockerizing the application/2. Prepare Database for validation.mp414.99MB
  • 37. Data Copier - Dockerizing the application/3. Pull and validate appropriate python image.mp449.57MB
  • 37. Data Copier - Dockerizing the application/4. Create and attach network to database container.mp451.74MB
  • 37. Data Copier - Dockerizing the application/5. Quick recap about Docker containers.mp427.74MB
  • 37. Data Copier - Dockerizing the application/6. Deploying application and installing dependencies in the docker container.mp462.48MB
  • 37. Data Copier - Dockerizing the application/7. Copy source data files into container.mp422.47MB
  • 37. Data Copier - Dockerizing the application/8. Add Data Copier container to custom network.mp426.94MB
  • 37. Data Copier - Dockerizing the application/9. Installing OS libraries as part of Docker container.mp415.34MB
  • 38. Data Copier - Using custom Docker Image/1. Using Custom Docker Image - Introduction.mp44.99MB
  • 38. Data Copier - Using custom Docker Image/10. Run application using Docker.mp460.25MB
  • 38. Data Copier - Using custom Docker Image/2. Getting started with docker custom image.mp437.18MB
  • 38. Data Copier - Using custom Docker Image/3. Install OS Modules in custom docker image.mp438.02MB
  • 38. Data Copier - Using custom Docker Image/4. Copying Source Code to Docker Custom Image.mp480.98MB
  • 38. Data Copier - Using custom Docker Image/5. Adding dependencies to the custom image.mp428.83MB
  • 38. Data Copier - Using custom Docker Image/6. Understanding docker custom image build process.mp428.21MB
  • 38. Data Copier - Using custom Docker Image/7. Mounting Data Folders on to Docker Container.mp434.69MB
  • 38. Data Copier - Using custom Docker Image/8. Passing Environment Variables to Docker Container.mp468.38MB
  • 38. Data Copier - Using custom Docker Image/9. Add Data Copier Container to custom network.mp442.45MB
  • 39. Data Copier - Deploy and Validate Application on Remote Server/1. Deploy and Validate Application on Remote Server - Introduction.mp49.76MB
  • 39. Data Copier - Deploy and Validate Application on Remote Server/10. Run and Validate Dockerized Application.mp473.58MB
  • 39. Data Copier - Deploy and Validate Application on Remote Server/2. Push Application Changes to GitHub Repository.mp419.28MB
  • 39. Data Copier - Deploy and Validate Application on Remote Server/3. Requirements to deploy application on Virtual Machine.mp428.67MB
  • 39. Data Copier - Deploy and Validate Application on Remote Server/4. Clone Application on remote machine.mp423.48MB
  • 39. Data Copier - Deploy and Validate Application on Remote Server/5. Setup Data Set for Validation.mp424.48MB
  • 39. Data Copier - Deploy and Validate Application on Remote Server/6. Setup Network and Database Folder for Database using Docker.mp430.84MB
  • 39. Data Copier - Deploy and Validate Application on Remote Server/7. Setup Docker Container for the Database.mp466.1MB
  • 39. Data Copier - Deploy and Validate Application on Remote Server/8. Setup Database and Tables as part of Docker based Database Server.mp437.38MB
  • 39. Data Copier - Deploy and Validate Application on Remote Server/9. Building Custom Docker Image for application.mp434.42MB
  • 4. Networking Concepts for Beginners - ip addresses and port numbers/1. Enable telnet on Windows.mp414MB
  • 4. Networking Concepts for Beginners - ip addresses and port numbers/10. Setup Web Application and access using private ip.mp430.23MB
  • 4. Networking Concepts for Beginners - ip addresses and port numbers/11. Disable Access to Web Application using Public ip.mp425.03MB
  • 4. Networking Concepts for Beginners - ip addresses and port numbers/12. Install sshuttle on Mac using brew.mp410.78MB
  • 4. Networking Concepts for Beginners - ip addresses and port numbers/13. Access Web Application using Private IP using SSH as proxy.mp442.94MB
  • 4. Networking Concepts for Beginners - ip addresses and port numbers/2. Different IP Address Types.mp421.7MB
  • 4. Networking Concepts for Beginners - ip addresses and port numbers/3. Port Numbers associated with Applications or Services.mp450.95MB
  • 4. Networking Concepts for Beginners - ip addresses and port numbers/4. Reverting port for SSH to default port number.mp421.16MB
  • 4. Networking Concepts for Beginners - ip addresses and port numbers/5. Setup Apache2 on Ubuntu.mp441.46MB
  • 4. Networking Concepts for Beginners - ip addresses and port numbers/6. Overview of localhost.mp415.94MB
  • 4. Networking Concepts for Beginners - ip addresses and port numbers/7. Overview of Private IP Address associated with a server.mp430.25MB
  • 4. Networking Concepts for Beginners - ip addresses and port numbers/8. Overview of Public IP Address associated with a server.mp438.06MB
  • 4. Networking Concepts for Beginners - ip addresses and port numbers/9. Setup Web Application and access using local ip.mp442.18MB
  • 40. Setup Hadoop on Single Node Cluster/1. Introduction to Single Node Hadoop Cluster.mp416.4MB
  • 40. Setup Hadoop on Single Node Cluster/2. Setup Prerequisties.mp431.43MB
  • 40. Setup Hadoop on Single Node Cluster/3. Setup Password less login.mp417.24MB
  • 40. Setup Hadoop on Single Node Cluster/4. Download and Install Hadoop.mp430.56MB
  • 40. Setup Hadoop on Single Node Cluster/5. Configure Hadoop HDFS.mp447.35MB
  • 40. Setup Hadoop on Single Node Cluster/6. Start and Validate HDFS.mp446.12MB
  • 40. Setup Hadoop on Single Node Cluster/7. Configure Hadoop YARN.mp47.72MB
  • 40. Setup Hadoop on Single Node Cluster/8. Start and Validate YARN.mp414.29MB
  • 40. Setup Hadoop on Single Node Cluster/9. Managing Single Node Hadoop.mp420.23MB
  • 41. Setup Hive and Spark on Single Node Cluster/1. Setup Data Sets for Practice.mp438.95MB
  • 41. Setup Hive and Spark on Single Node Cluster/10. Validate Jupyter Lab Setup.mp467.88MB
  • 41. Setup Hive and Spark on Single Node Cluster/11. Intergrate Spark 2 with Jupyter Lab.mp438.77MB
  • 41. Setup Hive and Spark on Single Node Cluster/12. Download and Install Spark 3.mp414.65MB
  • 41. Setup Hive and Spark on Single Node Cluster/13. Configure Spark 3.mp458.91MB
  • 41. Setup Hive and Spark on Single Node Cluster/14. Validate Spark 3 using CLIs.mp462.49MB
  • 41. Setup Hive and Spark on Single Node Cluster/15. Intergrate Spark 3 with Jupyter Lab.mp425.31MB
  • 41. Setup Hive and Spark on Single Node Cluster/2. Download and Install Hive.mp413.22MB
  • 41. Setup Hive and Spark on Single Node Cluster/3. Setup Database for Hive Metastore.mp453.29MB
  • 41. Setup Hive and Spark on Single Node Cluster/4. Configure and Setup Hive Metastore.mp453.46MB
  • 41. Setup Hive and Spark on Single Node Cluster/5. Launch and Validate Hive.mp436.08MB
  • 41. Setup Hive and Spark on Single Node Cluster/6. Scripts to Manage Single Node Cluster.mp422.37MB
  • 41. Setup Hive and Spark on Single Node Cluster/7. Download and Install Spark 2.mp425.36MB
  • 41. Setup Hive and Spark on Single Node Cluster/8. Configure Spark 2.mp466.77MB
  • 41. Setup Hive and Spark on Single Node Cluster/9. Validate Spark 2 using CLIs.mp466.22MB
  • 42. Introduction to Hadoop eco system - Overview of HDFS/1. Getting help or usage.mp434.51MB
  • 42. Introduction to Hadoop eco system - Overview of HDFS/10. Getting HDFS Storage Usage.mp415.04MB
  • 42. Introduction to Hadoop eco system - Overview of HDFS/11. USing HDFS Stat Commands.mp410.79MB
  • 42. Introduction to Hadoop eco system - Overview of HDFS/12. HDFS File Permissions.mp468.92MB
  • 42. Introduction to Hadoop eco system - Overview of HDFS/13. Overriding Properties.mp442.7MB
  • 42. Introduction to Hadoop eco system - Overview of HDFS/2. Listing HDFS Files.mp441.48MB
  • 42. Introduction to Hadoop eco system - Overview of HDFS/3. Managing HDFS Directories.mp493.79MB
  • 42. Introduction to Hadoop eco system - Overview of HDFS/4. Copying files from local to HDFS.mp4102.57MB
  • 42. Introduction to Hadoop eco system - Overview of HDFS/5. Copying files from HDFS to local.mp440.85MB
  • 42. Introduction to Hadoop eco system - Overview of HDFS/6. Getting Files Metadata.mp466.85MB
  • 42. Introduction to Hadoop eco system - Overview of HDFS/7. Previewing Data in HDFS Files.mp436.65MB
  • 42. Introduction to Hadoop eco system - Overview of HDFS/8. HDFS Block Size.mp440.64MB
  • 42. Introduction to Hadoop eco system - Overview of HDFS/9. HDFS Replication Factor.mp457.52MB
  • 43. Data Engineering using Spark SQL - Getting Started/1. Getting Started - Overview.mp49.76MB
  • 43. Data Engineering using Spark SQL - Getting Started/10. Role of Spark Metastore or Hive Metastore.mp427.82MB
  • 43. Data Engineering using Spark SQL - Getting Started/11. Exercise - Getting Started with Spark SQL.mp458.18MB
  • 43. Data Engineering using Spark SQL - Getting Started/2. Overview of Spark Documentation.mp420.83MB
  • 43. Data Engineering using Spark SQL - Getting Started/3. Launching and using Spark SQL CLI.mp429.4MB
  • 43. Data Engineering using Spark SQL - Getting Started/4. Overview of Spark SQL Properties.mp470.11MB
  • 43. Data Engineering using Spark SQL - Getting Started/5. Running OS Commands using Spark SQL.mp424.13MB
  • 43. Data Engineering using Spark SQL - Getting Started/6. Understanding Warehouse Directory.mp430.41MB
  • 43. Data Engineering using Spark SQL - Getting Started/7. Managing Spark Metastore Databases.mp465.63MB
  • 43. Data Engineering using Spark SQL - Getting Started/8. Managing Spark Metastore Tables.mp417.51MB
  • 43. Data Engineering using Spark SQL - Getting Started/9. Retrieve Metadata of Tables.mp415.25MB
  • 44. Data Engineering using Spark SQL - Basic Transformations/1. Basic Transformations - Introduction.mp416.63MB
  • 44. Data Engineering using Spark SQL - Basic Transformations/10. Sorting Data.mp432.16MB
  • 44. Data Engineering using Spark SQL - Basic Transformations/11. Conclusion - Final Solution.mp423.39MB
  • 44. Data Engineering using Spark SQL - Basic Transformations/2. Spark SQL - Overview.mp442.5MB
  • 44. Data Engineering using Spark SQL - Basic Transformations/3. Define Problem Statement.mp419.57MB
  • 44. Data Engineering using Spark SQL - Basic Transformations/4. Prepare Tables.mp434.15MB
  • 44. Data Engineering using Spark SQL - Basic Transformations/5. Projecting Data.mp430.08MB
  • 44. Data Engineering using Spark SQL - Basic Transformations/6. Filtering Data.mp469.94MB
  • 44. Data Engineering using Spark SQL - Basic Transformations/7. Joining Tables - Inner.mp452.84MB
  • 44. Data Engineering using Spark SQL - Basic Transformations/8. Joining Tables - Outer.mp456.2MB
  • 44. Data Engineering using Spark SQL - Basic Transformations/9. Aggregation Data.mp481.3MB
  • 45. Data Engineering using Spark SQL - Managing Tables - Basic DDL and DML/1. Introduction.mp420.06MB



    • Copyright ©2018 番号楼 版权所有.最近收录