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

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视频 2022-7-25 16:06 2024-12-24 01:07 297 16.68 GB 446
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文件列表
  1. 1. Introduction about the course/1. Introduction about course.mp438.1MB
  2. 1. Introduction about the course/2. Desired Audience.mp420.51MB
  3. 1. Introduction about the course/3. Pre-requisites.mp432.13MB
  4. 1. Introduction about the course/4. [Must Watch] 30 Day Money Back Guarantee - Feedback and Rating.mp46.04MB
  5. 1. Introduction about the course/5. Training Approach.mp436.72MB
  6. 1. Introduction about the course/6. Overview of Environments for Hands on Practice (Must Watch).mp421.23MB
  7. 1. Introduction about the course/8. [Must Watch] Setting up Course Material.mp458.35MB
  8. 10. Database Essentials - Partitioning Tables and Indexes/1. Overview of Partitioning.mp48.91MB
  9. 10. Database Essentials - Partitioning Tables and Indexes/10. Usage Scenarios.mp428.19MB
  10. 10. Database Essentials - Partitioning Tables and Indexes/11. Sub Partitioning.mp441.98MB
  11. 10. Database Essentials - Partitioning Tables and Indexes/12. Exercise - Partitioned Tables.mp49.79MB
  12. 10. Database Essentials - Partitioning Tables and Indexes/2. List Partitioning.mp427.93MB
  13. 10. Database Essentials - Partitioning Tables and Indexes/3. Managing Partitions - List.mp452.59MB
  14. 10. Database Essentials - Partitioning Tables and Indexes/4. Manipulating Data.mp430.79MB
  15. 10. Database Essentials - Partitioning Tables and Indexes/5. Range Partitioning.mp418.9MB
  16. 10. Database Essentials - Partitioning Tables and Indexes/6. Managing Partitions - Range.mp446.12MB
  17. 10. Database Essentials - Partitioning Tables and Indexes/7. Repartitioning - Range.mp473.35MB
  18. 10. Database Essentials - Partitioning Tables and Indexes/8. Hash Partitioning.mp426.63MB
  19. 10. Database Essentials - Partitioning Tables and Indexes/9. Managing Partitions - Hash.mp446.43MB
  20. 11. Database Essentials - Predefined Functions/1. Overview of Functions.mp441.4MB
  21. 11. Database Essentials - Predefined Functions/10. Getting Current Date or Timestamp.mp422.45MB
  22. 11. Database Essentials - Predefined Functions/11. Date Arithmetic.mp437.76MB
  23. 11. Database Essentials - Predefined Functions/12. Beginning Date or Time using date_trunc.mp428.04MB
  24. 11. Database Essentials - Predefined Functions/13. Using to_char and to_date.mp474.11MB
  25. 11. Database Essentials - Predefined Functions/14. Extracting Information using extract.mp421.79MB
  26. 11. Database Essentials - Predefined Functions/15. Dealing with Unix Timestamp or epoch.mp417.31MB
  27. 11. Database Essentials - Predefined Functions/16. Overview of Numeric Functions.mp440.38MB
  28. 11. Database Essentials - Predefined Functions/17. Data Type Conversion.mp423.29MB
  29. 11. Database Essentials - Predefined Functions/18. Handling NULL Values.mp426.74MB
  30. 11. Database Essentials - Predefined Functions/19. Using CASE and WHEN.mp445.58MB
  31. 11. Database Essentials - Predefined Functions/2. String Manipulation Functions.mp47.81MB
  32. 11. Database Essentials - Predefined Functions/3. Case Conversion and Length.mp426.6MB
  33. 11. Database Essentials - Predefined Functions/4. Extracting Data - Using substr and split_part.mp4101.89MB
  34. 11. Database Essentials - Predefined Functions/5. Using position or strpos.mp433.59MB
  35. 11. Database Essentials - Predefined Functions/6. Trimming and Padding Functions.mp436MB
  36. 11. Database Essentials - Predefined Functions/7. Reverse and Concatenate Multiple Strings.mp419.88MB
  37. 11. Database Essentials - Predefined Functions/8. String Replacement.mp445.57MB
  38. 11. Database Essentials - Predefined Functions/9. Date Manipulation Functions.mp412.15MB
  39. 12. Database Essentials - Writing Advanced SQL Queries/1. Overview of Views.mp446.75MB
  40. 12. Database Essentials - Writing Advanced SQL Queries/10. Cumulative or Moving Aggregations.mp451.16MB
  41. 12. Database Essentials - Writing Advanced SQL Queries/11. Analytic Functions - Windowing.mp482.29MB
  42. 12. Database Essentials - Writing Advanced SQL Queries/12. Analytic Functions - Ranking.mp472.65MB
  43. 12. Database Essentials - Writing Advanced SQL Queries/13. Analytic Functions - Filtering.mp458.87MB
  44. 12. Database Essentials - Writing Advanced SQL Queries/14. Ranking and Filtering - Recap.mp419.18MB
  45. 12. Database Essentials - Writing Advanced SQL Queries/2. Overview of Named Queries.mp427.4MB
  46. 12. Database Essentials - Writing Advanced SQL Queries/3. Overview of Sub Queries.mp441.45MB
  47. 12. Database Essentials - Writing Advanced SQL Queries/4. CTAS - Create Table As Select.mp452.14MB
  48. 12. Database Essentials - Writing Advanced SQL Queries/5. Advanced DML Operations.mp487.46MB
  49. 12. Database Essentials - Writing Advanced SQL Queries/6. Merging or Upserting Data.mp455.67MB
  50. 12. Database Essentials - Writing Advanced SQL Queries/7. Pivoting Rows into Columns.mp48.07MB
  51. 12. Database Essentials - Writing Advanced SQL Queries/8. Overview of Analytic Functions.mp438.17MB
  52. 12. Database Essentials - Writing Advanced SQL Queries/9. Analytic Functions - Aggregations.mp466.35MB
  53. 13. Programming Essentials using Python - Perform Database Operations/1. Introduction - Perform Database Operations.mp49.2MB
  54. 13. Programming Essentials using Python - Perform Database Operations/10. Example - Web Application.mp467.32MB
  55. 13. Programming Essentials using Python - Perform Database Operations/11. Exercise - Database Operations.mp418.74MB
  56. 13. Programming Essentials using Python - Perform Database Operations/2. Overview of SQL.mp414.55MB
  57. 13. Programming Essentials using Python - Perform Database Operations/3. Create Database and Users Table.mp453.25MB
  58. 13. Programming Essentials using Python - Perform Database Operations/4. DDL - Data Definition Language.mp440.96MB
  59. 13. Programming Essentials using Python - Perform Database Operations/5. DML - Data Manipulation Language.mp441.93MB
  60. 13. Programming Essentials using Python - Perform Database Operations/6. DQL - Data Query Language.mp431.35MB
  61. 13. Programming Essentials using Python - Perform Database Operations/7. CRUD Operations - DML and DQL.mp413.58MB
  62. 13. Programming Essentials using Python - Perform Database Operations/8. TCL - Transaction Control Language.mp48.55MB
  63. 13. Programming Essentials using Python - Perform Database Operations/9. Example - Data Engineering.mp449.26MB
  64. 14. Programming Essentials using Python - Getting Started with Python/1. Installing Python on Windows.mp448.48MB
  65. 14. Programming Essentials using Python - Getting Started with Python/2. Overview of Anaconda.mp466.29MB
  66. 14. Programming Essentials using Python - Getting Started with Python/3. Python CLI and Jupyter Notebook.mp455.59MB
  67. 14. Programming Essentials using Python - Getting Started with Python/4. Overview of Jupyter Lab.mp438.25MB
  68. 14. Programming Essentials using Python - Getting Started with Python/5. Using IDEs - Pycharm.mp442.97MB
  69. 14. Programming Essentials using Python - Getting Started with Python/6. Using Visual Studio Code.mp430.52MB
  70. 14. Programming Essentials using Python - Getting Started with Python/7. Using ITVersity Labs.mp441.07MB
  71. 14. Programming Essentials using Python - Getting Started with Python/8. Leveraging Google Colab.mp485.66MB
  72. 15. Programming Essentials using Python - Basic Programming Constructs/1. Basic Programming Constructs using Python - Introduction.mp48.67MB
  73. 15. Programming Essentials using Python - Basic Programming Constructs/10. Exercises - Basic Programming Constructs.mp435.24MB
  74. 15. Programming Essentials using Python - Basic Programming Constructs/11. Dynamic Arithmetic Operations using eval and exec.mp416.38MB
  75. 15. Programming Essentials using Python - Basic Programming Constructs/2. Getting Help.mp422.02MB
  76. 15. Programming Essentials using Python - Basic Programming Constructs/3. Variables and Objects.mp410.44MB
  77. 15. Programming Essentials using Python - Basic Programming Constructs/4. Data Type - Commonly Used.mp48.49MB
  78. 15. Programming Essentials using Python - Basic Programming Constructs/5. Operators in Python.mp413.19MB
  79. 15. Programming Essentials using Python - Basic Programming Constructs/6. Tasks - Data Types and Operators.mp437.95MB
  80. 15. Programming Essentials using Python - Basic Programming Constructs/7. Conditionals.mp458.46MB
  81. 15. Programming Essentials using Python - Basic Programming Constructs/8. All about for loops.mp481.98MB
  82. 15. Programming Essentials using Python - Basic Programming Constructs/9. Running os commands.mp475.11MB
  83. 16. Programming Essentials using Python - Predefined Functions/1. Predefined Functions - Introduction.mp46.84MB
  84. 16. Programming Essentials using Python - Predefined Functions/2. Overview of Predefined Functions.mp425.84MB
  85. 16. Programming Essentials using Python - Predefined Functions/3. Numeric Functions.mp430.23MB
  86. 16. Programming Essentials using Python - Predefined Functions/4. Overview of Strings.mp423.81MB
  87. 16. Programming Essentials using Python - Predefined Functions/5. String Manipulation Functions.mp447.86MB
  88. 16. Programming Essentials using Python - Predefined Functions/6. Formatting Strings.mp428.2MB
  89. 16. Programming Essentials using Python - Predefined Functions/7. Print and Input Functions.mp434MB
  90. 16. Programming Essentials using Python - Predefined Functions/8. Date Manipulation Functions.mp476.62MB
  91. 16. Programming Essentials using Python - Predefined Functions/9. Exercises - Predefined Functions in Python.mp411.4MB
  92. 17. Programming Essentials using Python - User Defined Functions/1. User Defined Functions - Introduction.mp47.34MB
  93. 17. Programming Essentials using Python - User Defined Functions/10. Lambda Functions.mp427.17MB
  94. 17. Programming Essentials using Python - User Defined Functions/11. Usage of Lambda Functions.mp479.27MB
  95. 17. Programming Essentials using Python - User Defined Functions/12. Exercise - User Defined Functions.mp412.18MB
  96. 17. Programming Essentials using Python - User Defined Functions/2. Defining Functions.mp420.29MB
  97. 17. Programming Essentials using Python - User Defined Functions/3. Doc Strings.mp419.86MB
  98. 17. Programming Essentials using Python - User Defined Functions/4. Returning Variables.mp421.86MB
  99. 17. Programming Essentials using Python - User Defined Functions/5. Function Parameters and Arguments.mp456.47MB
  100. 17. Programming Essentials using Python - User Defined Functions/6. Varying Arguments.mp441.4MB
  101. 17. Programming Essentials using Python - User Defined Functions/7. Keyword Arguments.mp417.28MB
  102. 17. Programming Essentials using Python - User Defined Functions/8. Recap of User Defined Functions.mp491.95MB
  103. 17. Programming Essentials using Python - User Defined Functions/9. Passing Functions as Arguments.mp435.79MB
  104. 18/1. Overview of Collections - list and set - Introduction.mp410.25MB
  105. 18/10. Validating sets.mp413.06MB
  106. 18/11. list and set - Usage.mp459.8MB
  107. 18/12. Exercises - Basic Operations on list and.mp415.66MB
  108. 18/13. List of Delimited Strings.mp426.73MB
  109. 18/14. Sorting data in lists and tuples.mp436.66MB
  110. 18/15. Sorting list of Delimited Strings.mp447.41MB
  111. 18/16. Exercises - Sorting lists and sets.mp434.01MB
  112. 18/2. Overview of list and set.mp428.6MB
  113. 18/3. Common Operations.mp413.37MB
  114. 18/4. Accessing elements from list.mp424.82MB
  115. 18/5. Adding elements to list.mp416.92MB
  116. 18/6. Updating and Deleting elements -list.mp413.88MB
  117. 18/7. Other list operations.mp415.19MB
  118. 18/8. Adding and Deleting elements - set.mp427.01MB
  119. 18/9. Typical set operations.mp411MB
  120. 19/1. Manipulating Collections using loops - Introduction.mp48.86MB
  121. 19/10. Process dict values.mp419.96MB
  122. 19/11. Processing dict items.mp436.52MB
  123. 19/12. Sorting dict items.mp421.63MB
  124. 19/13. Exercises - Overview of Collections - dict and set.mp415.75MB
  125. 19/2. Overview of dict and tuple.mp433.32MB
  126. 19/3. Common Operations - dict and tuple.mp425.86MB
  127. 19/4. Accessing Elements - tuples.mp425.5MB
  128. 19/5. Accessing Elements - dict.mp435.94MB
  129. 19/6. Manipulating dict.mp465.54MB
  130. 19/7. Common Examples - dict.mp436.48MB
  131. 19/8. List of Tuples.mp477.99MB
  132. 19/9. List of dicts.mp459.82MB
  133. 2. Setting up Environment using AWS Cloud9/1. Getting Started with Cloud9.mp423.23MB
  134. 2. Setting up Environment using AWS Cloud9/2. Creating Cloud9 Environment.mp433.91MB
  135. 2. Setting up Environment using AWS Cloud9/3. Warming up with Cloud9 IDE.mp420.99MB
  136. 2. Setting up Environment using AWS Cloud9/4. Details about material to setup postgres database using docker.mp49.92MB
  137. 2. Setting up Environment using AWS Cloud9/5. Overview of EC2 related to Cloud9.mp410.37MB
  138. 2. Setting up Environment using AWS Cloud9/6. Opening ports for Cloud9 Instance.mp422.7MB
  139. 2. Setting up Environment using AWS Cloud9/7. Associating Elastic IPs to Cloud9 Instance.mp436.23MB
  140. 2. Setting up Environment using AWS Cloud9/8. Increase EBS Volume Size of Cloud9 Instance.mp421.15MB
  141. 2. Setting up Environment using AWS Cloud9/9. Setup Jupyter Lab on Cloud9.mp447.58MB
  142. 20. Programming Essentials using Python - Manipulating Collections using loops/1. Manipulating Collections using loops - Introduction.mp414.3MB
  143. 20. Programming Essentials using Python - Manipulating Collections using loops/10. Overview of Grouped Aggregations.mp413.43MB
  144. 20. Programming Essentials using Python - Manipulating Collections using loops/11. Get Order Count by Status.mp450.02MB
  145. 20. Programming Essentials using Python - Manipulating Collections using loops/12. Get Revenue Details per Order.mp499.79MB
  146. 20. Programming Essentials using Python - Manipulating Collections using loops/13. Get Order Count by Month.mp427.67MB
  147. 20. Programming Essentials using Python - Manipulating Collections using loops/14. Joining Data Sets.mp4102.56MB
  148. 20. Programming Essentials using Python - Manipulating Collections using loops/15. Manipulate Collections using Comprehensions.mp46.25MB
  149. 20. Programming Essentials using Python - Manipulating Collections using loops/16. List Comprehensions using Python.mp444.71MB
  150. 20. Programming Essentials using Python - Manipulating Collections using loops/17. Set Comprehensions using Python.mp419MB
  151. 20. Programming Essentials using Python - Manipulating Collections using loops/18. Dict Comprehensions in Python.mp430.66MB
  152. 20. Programming Essentials using Python - Manipulating Collections using loops/19. Limitations of using loops.mp436.33MB
  153. 20. Programming Essentials using Python - Manipulating Collections using loops/2. Reading Files into Collections.mp426.75MB
  154. 20. Programming Essentials using Python - Manipulating Collections using loops/20. Exercises - Manipulating Collections using loops.mp449.95MB
  155. 20. Programming Essentials using Python - Manipulating Collections using loops/3. Overview of Standard Transformations.mp426.39MB
  156. 20. Programming Essentials using Python - Manipulating Collections using loops/4. Row Level Transformations.mp485.19MB
  157. 20. Programming Essentials using Python - Manipulating Collections using loops/5. Getting Unique Elements.mp464.73MB
  158. 20. Programming Essentials using Python - Manipulating Collections using loops/6. Filtering Data.mp485.42MB
  159. 20. Programming Essentials using Python - Manipulating Collections using loops/7. Preparing Data Sets.mp437.58MB
  160. 20. Programming Essentials using Python - Manipulating Collections using loops/8. Quick recap of dict operations.mp439.07MB
  161. 20. Programming Essentials using Python - Manipulating Collections using loops/9. Performing Total Aggregations.mp496.86MB
  162. 21. Programming Essentials using Python - Development of Map Reduce APIs/1. Develop myFilter.mp438.67MB
  163. 21. Programming Essentials using Python - Development of Map Reduce APIs/10. Validate myJoin Function.mp446.88MB
  164. 21. Programming Essentials using Python - Development of Map Reduce APIs/11. Exercises - Development of Map Reduce APIs.mp441.98MB
  165. 21. Programming Essentials using Python - Development of Map Reduce APIs/2. Validate myFilter.mp445.69MB
  166. 21. Programming Essentials using Python - Development of Map Reduce APIs/3. Develop myMap Function.mp430.72MB
  167. 21. Programming Essentials using Python - Development of Map Reduce APIs/4. Validate myMap Function.mp463.52MB
  168. 21. Programming Essentials using Python - Development of Map Reduce APIs/5. Develop myReduce Function.mp421.1MB
  169. 21. Programming Essentials using Python - Development of Map Reduce APIs/6. Validate myReduce Function.mp430.23MB
  170. 21. Programming Essentials using Python - Development of Map Reduce APIs/7. Develop myReduceByKey Function.mp425.71MB
  171. 21. Programming Essentials using Python - Development of Map Reduce APIs/8. Validate myReduceByKey Function.mp460.7MB
  172. 21. Programming Essentials using Python - Development of Map Reduce APIs/9. Develop myJoin Function.mp429.12MB
  173. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/1. Preparing Data Sets.mp418.14MB
  174. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/10. Cumulative Operations using itertools.mp448.63MB
  175. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/11. Using itertools starmap.mp431.09MB
  176. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/12. Overview of itertools groupby.mp435.56MB
  177. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/13. Get order count by status using itertools groupby.mp425.53MB
  178. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/14. Get revenue per order using itertools groupby.mp466.67MB
  179. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/15. Limitations of Map Reduce Libraries.mp412.92MB
  180. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/16. Exercises - Understanding Map Reduce Libraries.mp411.57MB
  181. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/2. Filtering Data using filter.mp443.77MB
  182. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/3. Projecting data using map.mp436.87MB
  183. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/4. Row Level Transformations using map.mp470.09MB
  184. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/5. Aggregations using reduce.mp443.16MB
  185. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/6. Get Revenue for a given product id.mp446.66MB
  186. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/7. Get total items sold and revenue for a product.mp432.05MB
  187. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/8. Get total commission amount.mp437.68MB
  188. 22. Programming Essentials using Python - Understanding Map Reduce Libraries/9. Overview of itertools.mp430.78MB
  189. 23. Programming Essentials using Python - Basics of File IO using Python/1. Basics of File IO using Python - Introduction.mp419.15MB
  190. 23. Programming Essentials using Python - Basics of File IO using Python/10. Read csv into list of strings.mp458.97MB
  191. 23. Programming Essentials using Python - Basics of File IO using Python/11. Writing Strings to file in Append Mode.mp433.46MB
  192. 23. Programming Essentials using Python - Basics of File IO using Python/12. Managing Files and Folders using Python.mp4115.22MB
  193. 23. Programming Essentials using Python - Basics of File IO using Python/2. Overview of File IO.mp418.67MB
  194. 23. Programming Essentials using Python - Basics of File IO using Python/3. Folders and Files.mp484.58MB
  195. 23. Programming Essentials using Python - Basics of File IO using Python/4. File Paths and Names.mp428.31MB
  196. 23. Programming Essentials using Python - Basics of File IO using Python/5. Overview of Retail Data.mp435.72MB
  197. 23. Programming Essentials using Python - Basics of File IO using Python/6. Read text file into string.mp433.53MB
  198. 23. Programming Essentials using Python - Basics of File IO using Python/7. Write string to text file.mp437.38MB
  199. 23. Programming Essentials using Python - Basics of File IO using Python/8. Overview of modes to write into files.mp449.72MB
  200. 23. Programming Essentials using Python - Basics of File IO using Python/9. Overview of Delimited Strings.mp427.13MB
  201. 24. Programming Essentials using Python - Delimited Files and Collections/1. Delimited Files and Collections.mp49.22MB
  202. 24. Programming Essentials using Python - Delimited Files and Collections/10. Apply Schema on lists from files.mp478.09MB
  203. 24. Programming Essentials using Python - Delimited Files and Collections/2. Overview of Delimited Text Files.mp459.24MB
  204. 24. Programming Essentials using Python - Delimited Files and Collections/3. Recap of basic file IO.mp458.53MB
  205. 24. Programming Essentials using Python - Delimited Files and Collections/4. Read Delimited files into list of tuples.mp483.11MB
  206. 24. Programming Essentials using Python - Delimited Files and Collections/5. Write Delimited Strings into files.mp472.05MB
  207. 24. Programming Essentials using Python - Delimited Files and Collections/6. Overview of CSV Module.mp451.34MB
  208. 24. Programming Essentials using Python - Delimited Files and Collections/7. Read Delimited data using CSV.mp482.96MB
  209. 24. Programming Essentials using Python - Delimited Files and Collections/8. Writing iterables to files using csv.mp458.08MB
  210. 24. Programming Essentials using Python - Delimited Files and Collections/9. Advantages of using csv module.mp410.12MB
  211. 25. Programming Essentials using Python - Overview of Pandas Libraries/1. Overview of Pandas Libraries.mp412.33MB
  212. 25. Programming Essentials using Python - Overview of Pandas Libraries/10. Writing Data Frames to Files.mp475.74MB
  213. 25. Programming Essentials using Python - Overview of Pandas Libraries/11. Joining Data Frames.mp494.61MB
  214. 25. Programming Essentials using Python - Overview of Pandas Libraries/2. Pandas Data Structures.mp441.64MB
  215. 25. Programming Essentials using Python - Overview of Pandas Libraries/3. Overview of series.mp425.52MB
  216. 25. Programming Essentials using Python - Overview of Pandas Libraries/4. Creating Data Frames from lists.mp423.85MB
  217. 25. Programming Essentials using Python - Overview of Pandas Libraries/5. Data Frames - Basic Operations.mp491.93MB
  218. 25. Programming Essentials using Python - Overview of Pandas Libraries/6. CSV to Pandas Data Frames.mp449MB
  219. 25. Programming Essentials using Python - Overview of Pandas Libraries/7. Projecting and Filtering.mp476.41MB
  220. 25. Programming Essentials using Python - Overview of Pandas Libraries/8. Performing Total Aggregations.mp480.1MB
  221. 25. Programming Essentials using Python - Overview of Pandas Libraries/9. Performing Grouped Aggregations.mp476.57MB
  222. 26. Programming Essentials using Python - Database Programming - CRUD Operations/1. Database Operations - CRUD Operations - Introduction.mp410.13MB
  223. 26. Programming Essentials using Python - Database Programming - CRUD Operations/10. Querying Data From Table.mp470.15MB
  224. 26. Programming Essentials using Python - Database Programming - CRUD Operations/11. Recap - CRUD Operations.mp49.67MB
  225. 26. Programming Essentials using Python - Database Programming - CRUD Operations/2. Overview of Database Programming.mp427.84MB
  226. 26. Programming Essentials using Python - Database Programming - CRUD Operations/3. Recap of RDBMS Concepts.mp447.81MB
  227. 26. Programming Essentials using Python - Database Programming - CRUD Operations/4. Setup Database Client Libraries.mp458.59MB
  228. 26. Programming Essentials using Python - Database Programming - CRUD Operations/5. Function Get Database Connection.mp420.97MB
  229. 26. Programming Essentials using Python - Database Programming - CRUD Operations/6. Create Database Table.mp444.6MB
  230. 26. Programming Essentials using Python - Database Programming - CRUD Operations/7. Inserting Data into Table.mp485.14MB
  231. 26. Programming Essentials using Python - Database Programming - CRUD Operations/8. Updating Existing Table Data.mp420.03MB
  232. 26. Programming Essentials using Python - Database Programming - CRUD Operations/9. Deleting Data From Table.mp414.74MB
  233. 27/1. Database Programming - Batch Operations - Introduction.mp48.08MB
  234. 27/2. Recap of Insert.mp418.91MB
  235. 27/3. Preparing Database.mp427.57MB
  236. 27/4. Reading Data From File.mp434.25MB
  237. 27/5. Batch Loading of Data.mp464.83MB
  238. 27/6. Best Practices Batch Loading.mp410.41MB
  239. 28. Programming Essentials using Python - Processing JSON Data/1. Processing JSON Data - Introduction.mp49.49MB
  240. 28. Programming Essentials using Python - Processing JSON Data/10. Common Use Cases for JSON.mp476.28MB
  241. 28. Programming Essentials using Python - Processing JSON Data/11. Write to JSON files using json module.mp464.99MB
  242. 28. Programming Essentials using Python - Processing JSON Data/12. Write to JSON files using pandas.mp449.45MB
  243. 28. Programming Essentials using Python - Processing JSON Data/2. Overview of JSON.mp419.77MB
  244. 28. Programming Essentials using Python - Processing JSON Data/3. JSON Data Types.mp414.72MB
  245. 28. Programming Essentials using Python - Processing JSON Data/4. Create JSON String.mp461.1MB
  246. 28. Programming Essentials using Python - Processing JSON Data/5. Process JSON String.mp4104.42MB
  247. 28. Programming Essentials using Python - Processing JSON Data/6. Single JSON Document in Files.mp491.04MB
  248. 28. Programming Essentials using Python - Processing JSON Data/7. Multiple JSON Documents in files.mp455.67MB
  249. 28. Programming Essentials using Python - Processing JSON Data/8. Process JSON using Pandas.mp458.3MB
  250. 28. Programming Essentials using Python - Processing JSON Data/9. Different JSON Formats supported by Pandas.mp479.88MB
  251. 29. Programming Essentials using Python - Processing REST Payloads/1. Overview of REST APIs.mp426.04MB
  252. 29. Programming Essentials using Python - Processing REST Payloads/2. Using curl command.mp444.63MB
  253. 29. Programming Essentials using Python - Processing REST Payloads/3. Overview of Postman.mp447.32MB
  254. 29. Programming Essentials using Python - Processing REST Payloads/4. Getting Started with requests.mp463.04MB
  255. 29. Programming Essentials using Python - Processing REST Payloads/5. Convert REST Payload to Python Objects.mp453.7MB
  256. 29. Programming Essentials using Python - Processing REST Payloads/6. Process REST Payload using Collection Operations.mp4131.13MB
  257. 29. Programming Essentials using Python - Processing REST Payloads/7. Process REST Payload using Pandas.mp469.91MB
  258. 3. Setting up Environment - Overview of GCP and Provision Ubuntu VM/1. Signing up for GCP.mp423.59MB
  259. 3. Setting up Environment - Overview of GCP and Provision Ubuntu VM/2. Overview of GCP Web Console.mp414.24MB
  260. 3. Setting up Environment - Overview of GCP and Provision Ubuntu VM/3. Overview of GCP Pricing.mp444.07MB
  261. 3. Setting up Environment - Overview of GCP and Provision Ubuntu VM/4. Provision Ubuntu VM from GCP.mp453.55MB
  262. 3. Setting up Environment - Overview of GCP and Provision Ubuntu VM/5. Setup Docker.mp474.5MB
  263. 3. Setting up Environment - Overview of GCP and Provision Ubuntu VM/6. Validating Python.mp434.31MB
  264. 3. Setting up Environment - Overview of GCP and Provision Ubuntu VM/7. Setup Jupyter Lab.mp478.91MB
  265. 30. Understanding Python Virtual Environments/1. Introduction to Python Virtual Environments.mp41.8MB
  266. 30. Understanding Python Virtual Environments/10. Define requirements file for Web Application.mp415.24MB
  267. 30. Understanding Python Virtual Environments/11. Install Dependencies using requirements file for Web Application.mp443.8MB
  268. 30. Understanding Python Virtual Environments/12. Create Virtual Environment for Data Engineering Application.mp427.02MB
  269. 30. Understanding Python Virtual Environments/13. Install Dependencies for Data Engineering Application.mp452.53MB
  270. 30. Understanding Python Virtual Environments/14. Install Dependencies for Data Engineering Application using Python 3.6.mp421.56MB
  271. 30. Understanding Python Virtual Environments/15. Validate Python and Package Compatibility and Install Python 3.6.mp458.77MB
  272. 30. Understanding Python Virtual Environments/16. Conclusion about understanding Python Virtual Environments.mp417.59MB
  273. 30. Understanding Python Virtual Environments/2. Validating Python Versions.mp418.71MB
  274. 30. Understanding Python Virtual Environments/3. Create Virtual Environment for Web Application.mp449.78MB
  275. 30. Understanding Python Virtual Environments/4. Reviewing dependencies installed in Virtual Environment.mp416.12MB
  276. 30. Understanding Python Virtual Environments/5. Installing Dependencies for Web Application using pip.mp445.57MB
  277. 30. Understanding Python Virtual Environments/6. Getting Details about installed packages using pip.mp417.1MB
  278. 30. Understanding Python Virtual Environments/7. Uninstall Packages using pip.mp427.07MB
  279. 30. Understanding Python Virtual Environments/8. Cleanup Python Virtual Environment.mp414.5MB
  280. 30. Understanding Python Virtual Environments/9. Recreate and Activate Virtual Environment for Web Application.mp46.6MB
  281. 31. Overview of Pycharm for Python Application Development/1. Introduction to Pycharm for Python Application Development.mp44.28MB
  282. 31. Overview of Pycharm for Python Application Development/10. Overview of Pycharm Integrated Terminal.mp425.38MB
  283. 31. Overview of Pycharm for Python Application Development/11. Overview of Pycharm Integrated Terminal on Mac.mp412.26MB
  284. 31. Overview of Pycharm for Python Application Development/12. Overview of Run Time Arguments for Python Applications.mp421.48MB
  285. 31. Overview of Pycharm for Python Application Development/13. Passing Run Time Arguments using Pycharm.mp420.45MB
  286. 31. Overview of Pycharm for Python Application Development/2. Installation of Pycharm on Windows.mp418.36MB
  287. 31. Overview of Pycharm for Python Application Development/3. Installation of Pycharm on Mac.mp420.65MB
  288. 31. Overview of Pycharm for Python Application Development/4. Setup Getting Started Project using Pycharm.mp430.22MB
  289. 31. Overview of Pycharm for Python Application Development/5. Setup Getting Started Project using Pycharm on Mac.mp412.8MB
  290. 31. Overview of Pycharm for Python Application Development/6. Setup de-demo project using Pycharm.mp415.4MB
  291. 31. Overview of Pycharm for Python Application Development/7. Accessing Setting in Pycharm and Changing Font Size.mp49.01MB
  292. 31. Overview of Pycharm for Python Application Development/8. Accessing Setting in Pycharm and Changing Font Size on Mac.mp413.89MB
  293. 31. Overview of Pycharm for Python Application Development/9. Install Python Packages using Pycharm.mp413.58MB
  294. 32. Data Copier - Getting Started/1. Introduction to Getting Started for Data copier.mp411.61MB
  295. 32. Data Copier - Getting Started/10. Setup Project using Pycharm.mp430.68MB
  296. 32. Data Copier - Getting Started/11. Managing Dependencies for the project.mp429.9MB
  297. 32. Data Copier - Getting Started/12. Create GitHub Project.mp463.97MB
  298. 32. Data Copier - Getting Started/2. Problem Statement - Data Copier.mp425.09MB
  299. 32. Data Copier - Getting Started/3. Create Working Directory for the Project.mp48.73MB
  300. 32. Data Copier - Getting Started/4. Setup Docker on Windows 10 Pro.mp446.13MB
  301. 32. Data Copier - Getting Started/5. Quick Overview of Docker.mp4115.68MB
  302. 32. Data Copier - Getting Started/6. Prepare Dataset.mp414.28MB
  303. 32. Data Copier - Getting Started/7. Create Postgres Container.mp468.61MB
  304. 32. Data Copier - Getting Started/8. Setup Postgres Database for development.mp452.4MB
  305. 32. Data Copier - Getting Started/9. Overview of Postgres Database Commands.mp462.02MB
  306. 33. Data Copier - Reading Data using Pandas/1. Reading Data using Pandas - Introduction.mp49.82MB
  307. 33. Data Copier - Reading Data using Pandas/2. Overview of Retail Data.mp436.07MB
  308. 33. Data Copier - Reading Data using Pandas/3. Adding Pandas to the project.mp431.76MB
  309. 33. Data Copier - Reading Data using Pandas/4. Reading JSON Data using Pandas.mp451.06MB
  310. 33. Data Copier - Reading Data using Pandas/5. Previewing Data using Pandas.mp448.66MB
  311. 33. Data Copier - Reading Data using Pandas/6. Reading Data in Chunks using Pandas.mp437.62MB
  312. 33. Data Copier - Reading Data using Pandas/7. Dynamically read files using os.mp428.43MB
  313. 34. Data Copier - Database Programming using Pandas/1. Database Programming using Pandas - Introduction.mp411.85MB
  314. 34. Data Copier - Database Programming using Pandas/10. Drop users table.mp415.31MB
  315. 34. Data Copier - Database Programming using Pandas/2. Validate Postgres Setup using Docker.mp425.61MB
  316. 34. Data Copier - Database Programming using Pandas/3. Add required dependencies for database programming using pandas.mp415.57MB
  317. 34. Data Copier - Database Programming using Pandas/4. Create users table in retail_db Database.mp411.43MB
  318. 34. Data Copier - Database Programming using Pandas/5. Populating Sample Data into users table.mp415.38MB
  319. 34. Data Copier - Database Programming using Pandas/6. Reading data from table using Pandas.mp438.96MB
  320. 34. Data Copier - Database Programming using Pandas/7. Truncate users table.mp416.1MB
  321. 34. Data Copier - Database Programming using Pandas/8. Writing Pandas Dataframe to table.mp467.06MB
  322. 34. Data Copier - Database Programming using Pandas/9. Validating users data.mp415.22MB
  323. 35. Data Copier - Loading Data from files to tables/1. Loading Data from files to tables - Introduction.mp47.3MB
  324. 35. Data Copier - Loading Data from files to tables/2. Populating Departments data into table.mp475.06MB
  325. 35. Data Copier - Loading Data from files to tables/3. Validate departments table.mp422.19MB
  326. 35. Data Copier - Loading Data from files to tables/4. Populating orders table in chunks.mp473.78MB
  327. 35. Data Copier - Loading Data from files to tables/5. Validate orders table in database.mp426.08MB
  328. 35. Data Copier - Loading Data from files to tables/6. Validate orders table using pandas.mp433.35MB
  329. 36. Data Copier - Modularizing the application/1. Overview of main function.mp438.65MB
  330. 36. Data Copier - Modularizing the application/10. Validate Integration logic.mp449.5MB
  331. 36. Data Copier - Modularizing the application/11. Develop logic for multiple tables.mp434.6MB
  332. 36. Data Copier - Modularizing the application/12. Validate logic for table list as run time argument.mp468.92MB
  333. 36. Data Copier - Modularizing the application/13. Push changes to remote git repository.mp430.96MB
  334. 36. Data Copier - Modularizing the application/2. Overview of Environment Variables.mp425.39MB
  335. 36. Data Copier - Modularizing the application/3. Using os module for Environment Variables.mp450.37MB
  336. 36. Data Copier - Modularizing the application/4. Passing Environment Variables using Pycharm.mp426.53MB
  337. 36. Data Copier - Modularizing the application/5. Read logic using Pandas.mp465.73MB
  338. 36. Data Copier - Modularizing the application/6. Validate read logic.mp453.43MB
  339. 36. Data Copier - Modularizing the application/7. Write logic using Pandas.mp454.73MB
  340. 36. Data Copier - Modularizing the application/8. Validate write logic.mp460.64MB
  341. 36. Data Copier - Modularizing the application/9. Integrate read and write logic.mp436.37MB
  342. 37. Data Copier - Dockerizing the application/1. Dockerizing the application - Introduction.mp44.85MB
  343. 37. Data Copier - Dockerizing the application/10. Validate Network Connectivity between Docker Containers.mp422.5MB
  344. 37. Data Copier - Dockerizing the application/11. Running Application from the Docker Container.mp451.82MB
  345. 37. Data Copier - Dockerizing the application/12. Delete Docker Container.mp437.58MB
  346. 37. Data Copier - Dockerizing the application/2. Prepare Database for validation.mp414.99MB
  347. 37. Data Copier - Dockerizing the application/3. Pull and validate appropriate python image.mp449.57MB
  348. 37. Data Copier - Dockerizing the application/4. Create and attach network to database container.mp451.74MB
  349. 37. Data Copier - Dockerizing the application/5. Quick recap about Docker containers.mp427.74MB
  350. 37. Data Copier - Dockerizing the application/6. Deploying application and installing dependencies in the docker container.mp462.48MB
  351. 37. Data Copier - Dockerizing the application/7. Copy source data files into container.mp422.47MB
  352. 37. Data Copier - Dockerizing the application/8. Add Data Copier container to custom network.mp426.94MB
  353. 37. Data Copier - Dockerizing the application/9. Installing OS libraries as part of Docker container.mp415.34MB
  354. 38. Data Copier - Using custom Docker Image/1. Using Custom Docker Image - Introduction.mp44.99MB
  355. 38. Data Copier - Using custom Docker Image/10. Run application using Docker.mp460.25MB
  356. 38. Data Copier - Using custom Docker Image/2. Getting started with docker custom image.mp437.18MB
  357. 38. Data Copier - Using custom Docker Image/3. Install OS Modules in custom docker image.mp438.02MB
  358. 38. Data Copier - Using custom Docker Image/4. Copying Source Code to Docker Custom Image.mp480.98MB
  359. 38. Data Copier - Using custom Docker Image/5. Adding dependencies to the custom image.mp428.83MB
  360. 38. Data Copier - Using custom Docker Image/6. Understanding docker custom image build process.mp428.21MB
  361. 38. Data Copier - Using custom Docker Image/7. Mounting Data Folders on to Docker Container.mp434.69MB
  362. 38. Data Copier - Using custom Docker Image/8. Passing Environment Variables to Docker Container.mp468.38MB
  363. 38. Data Copier - Using custom Docker Image/9. Add Data Copier Container to custom network.mp442.45MB
  364. 39. Data Copier - Deploy and Validate Application on Remote Server/1. Deploy and Validate Application on Remote Server - Introduction.mp49.76MB
  365. 39. Data Copier - Deploy and Validate Application on Remote Server/10. Run and Validate Dockerized Application.mp473.58MB
  366. 39. Data Copier - Deploy and Validate Application on Remote Server/2. Push Application Changes to GitHub Repository.mp419.28MB
  367. 39. Data Copier - Deploy and Validate Application on Remote Server/3. Requirements to deploy application on Virtual Machine.mp428.67MB
  368. 39. Data Copier - Deploy and Validate Application on Remote Server/4. Clone Application on remote machine.mp423.48MB
  369. 39. Data Copier - Deploy and Validate Application on Remote Server/5. Setup Data Set for Validation.mp424.48MB
  370. 39. Data Copier - Deploy and Validate Application on Remote Server/6. Setup Network and Database Folder for Database using Docker.mp430.84MB
  371. 39. Data Copier - Deploy and Validate Application on Remote Server/7. Setup Docker Container for the Database.mp466.1MB
  372. 39. Data Copier - Deploy and Validate Application on Remote Server/8. Setup Database and Tables as part of Docker based Database Server.mp437.38MB
  373. 39. Data Copier - Deploy and Validate Application on Remote Server/9. Building Custom Docker Image for application.mp434.42MB
  374. 4. Networking Concepts for Beginners - ip addresses and port numbers/1. Enable telnet on Windows.mp414MB
  375. 4. Networking Concepts for Beginners - ip addresses and port numbers/10. Setup Web Application and access using private ip.mp430.23MB
  376. 4. Networking Concepts for Beginners - ip addresses and port numbers/11. Disable Access to Web Application using Public ip.mp425.03MB
  377. 4. Networking Concepts for Beginners - ip addresses and port numbers/12. Install sshuttle on Mac using brew.mp410.78MB
  378. 4. Networking Concepts for Beginners - ip addresses and port numbers/13. Access Web Application using Private IP using SSH as proxy.mp442.94MB
  379. 4. Networking Concepts for Beginners - ip addresses and port numbers/2. Different IP Address Types.mp421.7MB
  380. 4. Networking Concepts for Beginners - ip addresses and port numbers/3. Port Numbers associated with Applications or Services.mp450.95MB
  381. 4. Networking Concepts for Beginners - ip addresses and port numbers/4. Reverting port for SSH to default port number.mp421.16MB
  382. 4. Networking Concepts for Beginners - ip addresses and port numbers/5. Setup Apache2 on Ubuntu.mp441.46MB
  383. 4. Networking Concepts for Beginners - ip addresses and port numbers/6. Overview of localhost.mp415.94MB
  384. 4. Networking Concepts for Beginners - ip addresses and port numbers/7. Overview of Private IP Address associated with a server.mp430.25MB
  385. 4. Networking Concepts for Beginners - ip addresses and port numbers/8. Overview of Public IP Address associated with a server.mp438.06MB
  386. 4. Networking Concepts for Beginners - ip addresses and port numbers/9. Setup Web Application and access using local ip.mp442.18MB
  387. 40. Setup Hadoop on Single Node Cluster/1. Introduction to Single Node Hadoop Cluster.mp416.4MB
  388. 40. Setup Hadoop on Single Node Cluster/2. Setup Prerequisties.mp431.43MB
  389. 40. Setup Hadoop on Single Node Cluster/3. Setup Password less login.mp417.24MB
  390. 40. Setup Hadoop on Single Node Cluster/4. Download and Install Hadoop.mp430.56MB
  391. 40. Setup Hadoop on Single Node Cluster/5. Configure Hadoop HDFS.mp447.35MB
  392. 40. Setup Hadoop on Single Node Cluster/6. Start and Validate HDFS.mp446.12MB
  393. 40. Setup Hadoop on Single Node Cluster/7. Configure Hadoop YARN.mp47.72MB
  394. 40. Setup Hadoop on Single Node Cluster/8. Start and Validate YARN.mp414.29MB
  395. 40. Setup Hadoop on Single Node Cluster/9. Managing Single Node Hadoop.mp420.23MB
  396. 41. Setup Hive and Spark on Single Node Cluster/1. Setup Data Sets for Practice.mp438.95MB
  397. 41. Setup Hive and Spark on Single Node Cluster/10. Validate Jupyter Lab Setup.mp467.88MB
  398. 41. Setup Hive and Spark on Single Node Cluster/11. Intergrate Spark 2 with Jupyter Lab.mp438.77MB
  399. 41. Setup Hive and Spark on Single Node Cluster/12. Download and Install Spark 3.mp414.65MB
  400. 41. Setup Hive and Spark on Single Node Cluster/13. Configure Spark 3.mp458.91MB
  401. 41. Setup Hive and Spark on Single Node Cluster/14. Validate Spark 3 using CLIs.mp462.49MB
  402. 41. Setup Hive and Spark on Single Node Cluster/15. Intergrate Spark 3 with Jupyter Lab.mp425.31MB
  403. 41. Setup Hive and Spark on Single Node Cluster/2. Download and Install Hive.mp413.22MB
  404. 41. Setup Hive and Spark on Single Node Cluster/3. Setup Database for Hive Metastore.mp453.29MB
  405. 41. Setup Hive and Spark on Single Node Cluster/4. Configure and Setup Hive Metastore.mp453.46MB
  406. 41. Setup Hive and Spark on Single Node Cluster/5. Launch and Validate Hive.mp436.08MB
  407. 41. Setup Hive and Spark on Single Node Cluster/6. Scripts to Manage Single Node Cluster.mp422.37MB
  408. 41. Setup Hive and Spark on Single Node Cluster/7. Download and Install Spark 2.mp425.36MB
  409. 41. Setup Hive and Spark on Single Node Cluster/8. Configure Spark 2.mp466.77MB
  410. 41. Setup Hive and Spark on Single Node Cluster/9. Validate Spark 2 using CLIs.mp466.22MB
  411. 42. Introduction to Hadoop eco system - Overview of HDFS/1. Getting help or usage.mp434.51MB
  412. 42. Introduction to Hadoop eco system - Overview of HDFS/10. Getting HDFS Storage Usage.mp415.04MB
  413. 42. Introduction to Hadoop eco system - Overview of HDFS/11. USing HDFS Stat Commands.mp410.79MB
  414. 42. Introduction to Hadoop eco system - Overview of HDFS/12. HDFS File Permissions.mp468.92MB
  415. 42. Introduction to Hadoop eco system - Overview of HDFS/13. Overriding Properties.mp442.7MB
  416. 42. Introduction to Hadoop eco system - Overview of HDFS/2. Listing HDFS Files.mp441.48MB
  417. 42. Introduction to Hadoop eco system - Overview of HDFS/3. Managing HDFS Directories.mp493.79MB
  418. 42. Introduction to Hadoop eco system - Overview of HDFS/4. Copying files from local to HDFS.mp4102.57MB
  419. 42. Introduction to Hadoop eco system - Overview of HDFS/5. Copying files from HDFS to local.mp440.85MB
  420. 42. Introduction to Hadoop eco system - Overview of HDFS/6. Getting Files Metadata.mp466.85MB
  421. 42. Introduction to Hadoop eco system - Overview of HDFS/7. Previewing Data in HDFS Files.mp436.65MB
  422. 42. Introduction to Hadoop eco system - Overview of HDFS/8. HDFS Block Size.mp440.64MB
  423. 42. Introduction to Hadoop eco system - Overview of HDFS/9. HDFS Replication Factor.mp457.52MB
  424. 43. Data Engineering using Spark SQL - Getting Started/1. Getting Started - Overview.mp49.76MB
  425. 43. Data Engineering using Spark SQL - Getting Started/10. Role of Spark Metastore or Hive Metastore.mp427.82MB
  426. 43. Data Engineering using Spark SQL - Getting Started/11. Exercise - Getting Started with Spark SQL.mp458.18MB
  427. 43. Data Engineering using Spark SQL - Getting Started/2. Overview of Spark Documentation.mp420.83MB
  428. 43. Data Engineering using Spark SQL - Getting Started/3. Launching and using Spark SQL CLI.mp429.4MB
  429. 43. Data Engineering using Spark SQL - Getting Started/4. Overview of Spark SQL Properties.mp470.11MB
  430. 43. Data Engineering using Spark SQL - Getting Started/5. Running OS Commands using Spark SQL.mp424.13MB
  431. 43. Data Engineering using Spark SQL - Getting Started/6. Understanding Warehouse Directory.mp430.41MB
  432. 43. Data Engineering using Spark SQL - Getting Started/7. Managing Spark Metastore Databases.mp465.63MB
  433. 43. Data Engineering using Spark SQL - Getting Started/8. Managing Spark Metastore Tables.mp417.51MB
  434. 43. Data Engineering using Spark SQL - Getting Started/9. Retrieve Metadata of Tables.mp415.25MB
  435. 44. Data Engineering using Spark SQL - Basic Transformations/1. Basic Transformations - Introduction.mp416.63MB
  436. 44. Data Engineering using Spark SQL - Basic Transformations/10. Sorting Data.mp432.16MB
  437. 44. Data Engineering using Spark SQL - Basic Transformations/11. Conclusion - Final Solution.mp423.39MB
  438. 44. Data Engineering using Spark SQL - Basic Transformations/2. Spark SQL - Overview.mp442.5MB
  439. 44. Data Engineering using Spark SQL - Basic Transformations/3. Define Problem Statement.mp419.57MB
  440. 44. Data Engineering using Spark SQL - Basic Transformations/4. Prepare Tables.mp434.15MB
  441. 44. Data Engineering using Spark SQL - Basic Transformations/5. Projecting Data.mp430.08MB
  442. 44. Data Engineering using Spark SQL - Basic Transformations/6. Filtering Data.mp469.94MB
  443. 44. Data Engineering using Spark SQL - Basic Transformations/7. Joining Tables - Inner.mp452.84MB
  444. 44. Data Engineering using Spark SQL - Basic Transformations/8. Joining Tables - Outer.mp456.2MB
  445. 44. Data Engineering using Spark SQL - Basic Transformations/9. Aggregation Data.mp481.3MB
  446. 45. Data Engineering using Spark SQL - Managing Tables - Basic DDL and DML/1. Introduction.mp420.06MB
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