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[LinkedIn Learning] Master Data Engineering - Complete 7 Courses

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LinkedIn Learning Master Data Engineering - Complete 7 Courses

文件列表
  1. 5. Python for Data Engineering from Beginner to Advanced/8 - Capstone Project/2. Solution Capstone project.mp438.69MB
  2. 1. Apache Kafka Essential Training Building Scalable Applications/0 - Introduction/1. Building robust Kafka applications.mp43.43MB
  3. 1. Apache Kafka Essential Training Building Scalable Applications/1 - Introduction to Kafka/1. What is Kafka.mp42.6MB
  4. 1. Apache Kafka Essential Training Building Scalable Applications/1 - Introduction to Kafka/2. Prerequisites for the course.mp41.76MB
  5. 1. Apache Kafka Essential Training Building Scalable Applications/1 - Introduction to Kafka/3. Kafka scaling and resiliency.mp42.52MB
  6. 1. Apache Kafka Essential Training Building Scalable Applications/1 - Introduction to Kafka/4. Setting up the exercise files.mp43.26MB
  7. 1. Apache Kafka Essential Training Building Scalable Applications/2 - Kafka Scaling Concepts/1. A Kafka cluster.mp43.15MB
  8. 1. Apache Kafka Essential Training Building Scalable Applications/2 - Kafka Scaling Concepts/2. Kafka controllers.mp42.68MB
  9. 1. Apache Kafka Essential Training Building Scalable Applications/2 - Kafka Scaling Concepts/3. Replication.mp44.34MB
  10. 1. Apache Kafka Essential Training Building Scalable Applications/2 - Kafka Scaling Concepts/4. Partition leaders.mp45.03MB
  11. 1. Apache Kafka Essential Training Building Scalable Applications/2 - Kafka Scaling Concepts/5. Security.mp42.13MB
  12. 1. Apache Kafka Essential Training Building Scalable Applications/3 - Building a Kafka Cluster/1. Kafka cluster setup.mp49.09MB
  13. 1. Apache Kafka Essential Training Building Scalable Applications/3 - Building a Kafka Cluster/2. Running the cluster.mp44.31MB
  14. 1. Apache Kafka Essential Training Building Scalable Applications/3 - Building a Kafka Cluster/3. Creating topics with replication.mp44.76MB
  15. 1. Apache Kafka Essential Training Building Scalable Applications/3 - Building a Kafka Cluster/4. Kafka clusters in action.mp48.99MB
  16. 1. Apache Kafka Essential Training Building Scalable Applications/3 - Building a Kafka Cluster/5. Kafka resiliency in action.mp49.49MB
  17. 1. Apache Kafka Essential Training Building Scalable Applications/4 - Building Scalable Producers/1. Producer internals.mp43.35MB
  18. 1. Apache Kafka Essential Training Building Scalable Applications/4 - Building Scalable Producers/2. Producer publishing options.mp44.57MB
  19. 1. Apache Kafka Essential Training Building Scalable Applications/4 - Building Scalable Producers/3. Acknowledgments in Kafka.mp43.37MB
  20. 1. Apache Kafka Essential Training Building Scalable Applications/4 - Building Scalable Producers/4. Additional producer parameters.mp42.7MB
  21. 1. Apache Kafka Essential Training Building Scalable Applications/4 - Building Scalable Producers/5. Java producer options example.mp49.84MB
  22. 1. Apache Kafka Essential Training Building Scalable Applications/5 - Building Scalable Consumers/1. How consumer works.mp43.27MB
  23. 1. Apache Kafka Essential Training Building Scalable Applications/5 - Building Scalable Consumers/2. Batching message consumption.mp43.72MB
  24. 1. Apache Kafka Essential Training Building Scalable Applications/5 - Building Scalable Consumers/3. Committing messages.mp43.73MB
  25. 1. Apache Kafka Essential Training Building Scalable Applications/5 - Building Scalable Consumers/4. Java consumer example.mp47.38MB
  26. 1. Apache Kafka Essential Training Building Scalable Applications/5 - Building Scalable Consumers/5. Multi-threaded consumers.mp49.15MB
  27. 1. Apache Kafka Essential Training Building Scalable Applications/6 - Kafka Best Practices/1. Managing partition counts.mp43.47MB
  28. 1. Apache Kafka Essential Training Building Scalable Applications/6 - Kafka Best Practices/2. Managing messages.mp41.8MB
  29. 1. Apache Kafka Essential Training Building Scalable Applications/6 - Kafka Best Practices/3. Managing consumer settings.mp41.8MB
  30. 1. Apache Kafka Essential Training Building Scalable Applications/6 - Kafka Best Practices/4. Managing resiliency.mp41.94MB
  31. 1. Apache Kafka Essential Training Building Scalable Applications/7 - Use Case Project/1. Kafka applications use case Problem definition.mp42.11MB
  32. 1. Apache Kafka Essential Training Building Scalable Applications/7 - Use Case Project/2. Setting up topics.mp41.02MB
  33. 1. Apache Kafka Essential Training Building Scalable Applications/7 - Use Case Project/3. Producing data in Java.mp43.99MB
  34. 1. Apache Kafka Essential Training Building Scalable Applications/7 - Use Case Project/4. Consuming data in Java.mp44.35MB
  35. 1. Apache Kafka Essential Training Building Scalable Applications/8 - Conclusion/1. How do you extend your Kafka learning journey.mp41.05MB
  36. 2. Troubleshooting and Debugging Kafka/0 - Introduction/1. Overview of troubleshooting and debugging Kafka.mp46.28MB
  37. 2. Troubleshooting and Debugging Kafka/1 - Introducing Cloud-Native Kafka on Confluent/1. Prerequisites.mp41.33MB
  38. 2. Troubleshooting and Debugging Kafka/1 - Introducing Cloud-Native Kafka on Confluent/2. An overview of Apache Kafka.mp43.56MB
  39. 2. Troubleshooting and Debugging Kafka/1 - Introducing Cloud-Native Kafka on Confluent/3. The Confluent platform.mp48.69MB
  40. 2. Troubleshooting and Debugging Kafka/1 - Introducing Cloud-Native Kafka on Confluent/4. Downloading the Confluent platform binaries.mp410.01MB
  41. 2. Troubleshooting and Debugging Kafka/1 - Introducing Cloud-Native Kafka on Confluent/5. Running the Confluent platform locally.mp46.64MB
  42. 2. Troubleshooting and Debugging Kafka/1 - Introducing Cloud-Native Kafka on Confluent/6. Overview of the control center.mp413.05MB
  43. 2. Troubleshooting and Debugging Kafka/2 - Observing Consumers and Brokers/1. Observing message production and consumption.mp48.23MB
  44. 2. Troubleshooting and Debugging Kafka/2 - Observing Consumers and Brokers/2. Produce messages using the control center.mp47.96MB
  45. 2. Troubleshooting and Debugging Kafka/2 - Observing Consumers and Brokers/3. Using datagen to generate synthetic data.mp46.22MB
  46. 2. Troubleshooting and Debugging Kafka/2 - Observing Consumers and Brokers/4. Observing consumers.mp412.93MB
  47. 2. Troubleshooting and Debugging Kafka/3 - Processing Kafka Streams/1. Understanding ksqlDB.mp43.85MB
  48. 2. Troubleshooting and Debugging Kafka/3 - Processing Kafka Streams/2. Creating streams and tables using ksqlDB.mp413.14MB
  49. 2. Troubleshooting and Debugging Kafka/3 - Processing Kafka Streams/3. Performing join and windowing operations.mp49.43MB
  50. 2. Troubleshooting and Debugging Kafka/3 - Processing Kafka Streams/4. Viewing streams and tables.mp43.01MB
  51. 2. Troubleshooting and Debugging Kafka/4 - Monitoring Consumer Groups/1. Programmatically produce messages using Python.mp415.11MB
  52. 2. Troubleshooting and Debugging Kafka/4 - Monitoring Consumer Groups/2. Troubleshooting partition usage.mp411.82MB
  53. 2. Troubleshooting and Debugging Kafka/4 - Monitoring Consumer Groups/3. Consumer groups.mp43.42MB
  54. 2. Troubleshooting and Debugging Kafka/4 - Monitoring Consumer Groups/4. Monitoring consumption in a consumer group.mp411.01MB
  55. 2. Troubleshooting and Debugging Kafka/4 - Monitoring Consumer Groups/5. Debugging consumption lag.mp48.01MB
  56. 2. Troubleshooting and Debugging Kafka/4 - Monitoring Consumer Groups/6. Monitoring consumer group rebalancing.mp413.23MB
  57. 2. Troubleshooting and Debugging Kafka/5 - Monitoring Multi-Broker Clusters/1. Configuration properties for a multi-broker cluster.mp422.28MB
  58. 2. Troubleshooting and Debugging Kafka/5 - Monitoring Multi-Broker Clusters/2. Running a multi-broker cluster on the Confluent platform.mp412.56MB
  59. 2. Troubleshooting and Debugging Kafka/5 - Monitoring Multi-Broker Clusters/3. Monitoring brokers.mp43.73MB
  60. 2. Troubleshooting and Debugging Kafka/5 - Monitoring Multi-Broker Clusters/4. Observing partitions and replication.mp44.64MB
  61. 2. Troubleshooting and Debugging Kafka/5 - Monitoring Multi-Broker Clusters/5. Monitoring broker throughput and latency.mp413.3MB
  62. 2. Troubleshooting and Debugging Kafka/6 - Debugging Brokers and Consumers/1. Debugging failed brokers, part 1.mp412.04MB
  63. 2. Troubleshooting and Debugging Kafka/6 - Debugging Brokers and Consumers/2. Debugging failed brokers, part 2.mp410.4MB
  64. 2. Troubleshooting and Debugging Kafka/6 - Debugging Brokers and Consumers/3. Debugging slow consumers.mp47.15MB
  65. 2. Troubleshooting and Debugging Kafka/7 - Configuring Alerts/1. Configuring alerts.mp48.55MB
  66. 2. Troubleshooting and Debugging Kafka/7 - Configuring Alerts/2. Configuring email settings for alerts.mp414.58MB
  67. 2. Troubleshooting and Debugging Kafka/8 - Conclusion/1. Summary and next steps.mp43.35MB
  68. 3. Tuning Kafka OneHack.us/0 - Introduction/1. Tuning Kafka.mp45.18MB
  69. 3. Tuning Kafka OneHack.us/1 - Introducing Kafka Tuning/1. Prerequisites.mp41.51MB
  70. 3. Tuning Kafka OneHack.us/1 - Introducing Kafka Tuning/2. An overview of Kafka.mp49.35MB
  71. 3. Tuning Kafka OneHack.us/1 - Introducing Kafka Tuning/3. Producers and consumers.mp46.03MB
  72. 3. Tuning Kafka OneHack.us/1 - Introducing Kafka Tuning/4. Kafka optimization theorem.mp49.92MB
  73. 3. Tuning Kafka OneHack.us/1 - Introducing Kafka Tuning/5. End-to-end latency in Kafka.mp43.8MB
  74. 3. Tuning Kafka OneHack.us/1 - Introducing Kafka Tuning/6. Install and set up Apache Kafka.mp48.04MB
  75. 3. Tuning Kafka OneHack.us/1 - Introducing Kafka Tuning/7. Publish and consume messages using console scripts.mp43.77MB
  76. 3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/1. Running a Kafka cluster with three brokers.mp416.59MB
  77. 3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/2. Running basic producer performance tests.mp415.57MB
  78. 3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/3. Effects of partitioning on producers.mp413.5MB
  79. 3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/4. Effects of replication on producers.mp48.87MB
  80. 3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/5. Tuning producer acks.mp413.14MB
  81. 3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/6. Tuning producer compression.mp414.55MB
  82. 3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/7. Tuning batch size and linger time.mp49.66MB
  83. 3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/8. Effect of message size and record count.mp415.31MB
  84. 3. Tuning Kafka OneHack.us/3 - Tuning Kafka Consumers/1. Running a basic consumer performance test.mp411.42MB
  85. 3. Tuning Kafka OneHack.us/3 - Tuning Kafka Consumers/2. Tuning fetch bytes and wait time for consumers.mp414.53MB
  86. 3. Tuning Kafka OneHack.us/3 - Tuning Kafka Consumers/3. Tuning session timeout and heartbeat interval.mp47.79MB
  87. 3. Tuning Kafka OneHack.us/3 - Tuning Kafka Consumers/4. Tuning max poll interval and max poll records.mp49.71MB
  88. 3. Tuning Kafka OneHack.us/4 - Tuning Kafka Brokers/1. End-to-end latency with replication.mp415.22MB
  89. 3. Tuning Kafka OneHack.us/4 - Tuning Kafka Brokers/2. Tuning throughput.mp415.68MB
  90. 3. Tuning Kafka OneHack.us/4 - Tuning Kafka Brokers/3. Tuning log retention.mp410.51MB
  91. 3. Tuning Kafka OneHack.us/5 - Performance Testing with Python/1. Producer performance testing using Python.mp48.78MB
  92. 3. Tuning Kafka OneHack.us/5 - Performance Testing with Python/2. Consumer perf testing using Python.mp46.49MB
  93. 3. Tuning Kafka OneHack.us/6 - Conclusion/1. Summary and next steps.mp41.31MB
  94. 4. Architecting Big Data Applications Batch Mode Application Engineering/0 - Introduction/1. Architecting big data applications.mp41.94MB
  95. 4. Architecting Big Data Applications Batch Mode Application Engineering/1 - Introduction to Big Data Applications/1. Characteristics of batch processing.mp42.94MB
  96. 4. Architecting Big Data Applications Batch Mode Application Engineering/1 - Introduction to Big Data Applications/2. Challenges building batch applications.mp41.81MB
  97. 4. Architecting Big Data Applications Batch Mode Application Engineering/1 - Introduction to Big Data Applications/3. Technologies for batch big data engineering.mp43.42MB
  98. 4. Architecting Big Data Applications Batch Mode Application Engineering/1 - Introduction to Big Data Applications/4. Use cases for batch big data.mp43.34MB
  99. 4. Architecting Big Data Applications Batch Mode Application Engineering/1 - Introduction to Big Data Applications/5. Architecture process for data engineering.mp44.04MB
  100. 4. Architecting Big Data Applications Batch Mode Application Engineering/2 - Big Data Architecture Principles/1. Making the choice Real-time vs. batch.mp46.36MB
  101. 4. Architecting Big Data Applications Batch Mode Application Engineering/2 - Big Data Architecture Principles/2. Horizontal scaling.mp46.6MB
  102. 4. Architecting Big Data Applications Batch Mode Application Engineering/2 - Big Data Architecture Principles/3. Distributed processing.mp43.48MB
  103. 4. Architecting Big Data Applications Batch Mode Application Engineering/2 - Big Data Architecture Principles/4. Technology selection.mp46.45MB
  104. 4. Architecting Big Data Applications Batch Mode Application Engineering/2 - Big Data Architecture Principles/5. Technology integrations.mp43.64MB
  105. 4. Architecting Big Data Applications Batch Mode Application Engineering/3 - Batch Application Architecture Principles/1. Schedule selection.mp44.43MB
  106. 4. Architecting Big Data Applications Batch Mode Application Engineering/3 - Batch Application Architecture Principles/2. Minimizing data volumes.mp44.42MB
  107. 4. Architecting Big Data Applications Batch Mode Application Engineering/3 - Batch Application Architecture Principles/3. Uniform load distribution.mp46.13MB
  108. 4. Architecting Big Data Applications Batch Mode Application Engineering/3 - Batch Application Architecture Principles/4. Using caches.mp43.06MB
  109. 4. Architecting Big Data Applications Batch Mode Application Engineering/3 - Batch Application Architecture Principles/5. Reprocessing.mp43.61MB
  110. 4. Architecting Big Data Applications Batch Mode Application Engineering/4 - Use Case 1 Audit Trail Data Archive/1. Audit trail Define the problem.mp44.64MB
  111. 4. Architecting Big Data Applications Batch Mode Application Engineering/4 - Use Case 1 Audit Trail Data Archive/2. Audit trail Study requirements.mp44.93MB
  112. 4. Architecting Big Data Applications Batch Mode Application Engineering/4 - Use Case 1 Audit Trail Data Archive/3. Audit trail Create a workflow.mp42.75MB
  113. 4. Architecting Big Data Applications Batch Mode Application Engineering/4 - Use Case 1 Audit Trail Data Archive/4. Audit trail Scale the workflow.mp43.73MB
  114. 4. Architecting Big Data Applications Batch Mode Application Engineering/4 - Use Case 1 Audit Trail Data Archive/5. Audit trail Select technologies.mp46.91MB
  115. 4. Architecting Big Data Applications Batch Mode Application Engineering/4 - Use Case 1 Audit Trail Data Archive/6. Audit trail Review final architecture.mp43.07MB
  116. 4. Architecting Big Data Applications Batch Mode Application Engineering/5 - Use Case 2 Advertising Analytics/1. Advertising analytics Define the problem.mp44.29MB
  117. 4. Architecting Big Data Applications Batch Mode Application Engineering/5 - Use Case 2 Advertising Analytics/2. Advertising analytics Study requirements.mp44.81MB
  118. 4. Architecting Big Data Applications Batch Mode Application Engineering/5 - Use Case 2 Advertising Analytics/3. Advertising analytics Create a workflow.mp42.86MB
  119. 4. Architecting Big Data Applications Batch Mode Application Engineering/5 - Use Case 2 Advertising Analytics/4. Advertising analytics Scale the workflow.mp44.55MB
  120. 4. Architecting Big Data Applications Batch Mode Application Engineering/5 - Use Case 2 Advertising Analytics/5. Advertising analytics Select technologies.mp47.33MB
  121. 4. Architecting Big Data Applications Batch Mode Application Engineering/5 - Use Case 2 Advertising Analytics/6. Advertising analytics Review final architecture.mp42.24MB
  122. 4. Architecting Big Data Applications Batch Mode Application Engineering/6 - Use Case 3 Product Recommendations/1. Product recommendations Define the problem.mp43.32MB
  123. 4. Architecting Big Data Applications Batch Mode Application Engineering/6 - Use Case 3 Product Recommendations/2. Product recommendations Study requirements.mp44.64MB
  124. 4. Architecting Big Data Applications Batch Mode Application Engineering/6 - Use Case 3 Product Recommendations/3. Product recommendations Create a workflow.mp42.13MB
  125. 4. Architecting Big Data Applications Batch Mode Application Engineering/6 - Use Case 3 Product Recommendations/4. Product recommendations Scale the workflow.mp44.7MB
  126. 4. Architecting Big Data Applications Batch Mode Application Engineering/6 - Use Case 3 Product Recommendations/5. Product recommendations Select technologies.mp46.26MB
  127. 4. Architecting Big Data Applications Batch Mode Application Engineering/6 - Use Case 3 Product Recommendations/6. Product recommendations Review the final architecture.mp42.46MB
  128. 4. Architecting Big Data Applications Batch Mode Application Engineering/7 - Conclusion/1. Continuing to architect big data applications.mp41.83MB
  129. 5. Python for Data Engineering from Beginner to Advanced/0 - Introduction/1. Welcome to the course.mp41.18MB
  130. 5. Python for Data Engineering from Beginner to Advanced/0 - Introduction/2. What you should know.mp41.75MB
  131. 5. Python for Data Engineering from Beginner to Advanced/0 - Introduction/3. CoderPad tour.mp43.59MB
  132. 5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/1. Introduction to Python and data engineering.mp45.39MB
  133. 5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/2. Setting up your Python environment.mp45.1MB
  134. 5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/3. Explore a Google Colab worksheet.mp47.49MB
  135. 5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/4. Variables and data types.mp48.29MB
  136. 5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/5. Operators and expressions.mp411.49MB
  137. 5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/6. Control structures.mp49.79MB
  138. 5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/7. Functions.mp410.58MB
  139. 5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/8. Modules and packages.mp49.03MB
  140. 5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/9. String manipulation.mp413.84MB
  141. 5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/10. Error handling.mp49.39MB
  142. 5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/11. Solution String Manipulation.mp42.33MB
  143. 5. Python for Data Engineering from Beginner to Advanced/2 - Python Collections/1. Collection overview.mp43.78MB
  144. 5. Python for Data Engineering from Beginner to Advanced/2 - Python Collections/2. Python collections Tuples.mp410MB
  145. 5. Python for Data Engineering from Beginner to Advanced/2 - Python Collections/3. Python collections Lists.mp410.07MB
  146. 5. Python for Data Engineering from Beginner to Advanced/2 - Python Collections/4. Python collections Sets.mp48.32MB
  147. 5. Python for Data Engineering from Beginner to Advanced/2 - Python Collections/5. Python collections Dictionaries.mp414.1MB
  148. 5. Python for Data Engineering from Beginner to Advanced/2 - Python Collections/6. Solution Analyze list.mp41.77MB
  149. 5. Python for Data Engineering from Beginner to Advanced/3 - Python File Handling/1. File IO overview.mp44.48MB
  150. 5. Python for Data Engineering from Beginner to Advanced/3 - Python File Handling/2. Working with CSV files.mp414.62MB
  151. 5. Python for Data Engineering from Beginner to Advanced/3 - Python File Handling/3. Working with JSON files.mp49.71MB
  152. 5. Python for Data Engineering from Beginner to Advanced/3 - Python File Handling/4. Solution ReadWrite text to file.mp44.5MB
  153. 5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/1. Introduction to pandas.mp46MB
  154. 5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/2. Read files as DataFrames.mp413.38MB
  155. 5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/3. Data cleaning and preprocessing.mp417.84MB
  156. 5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/4. Data manipulation and aggregation.mp412.65MB
  157. 5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/5. Data visualization.mp411.67MB
  158. 5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/6. Write DataFrames as files.mp48.99MB
  159. 5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/7. Solution Play with pandas.mp42.81MB
  160. 5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/1. Introduction to NumPy.mp46.1MB
  161. 5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/2. Array creation and attributes.mp411MB
  162. 5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/3. Array operations.mp411.69MB
  163. 5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/4. Indexing and slicing.mp413.73MB
  164. 5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/5. Linear algebra and statistics.mp49.52MB
  165. 5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/6. Write DataFrames as files.mp48.35MB
  166. 5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/7. Solution NumPy Array Operation.mp42.74MB
  167. 5. Python for Data Engineering from Beginner to Advanced/6 - OOP with Python/1. Understanding classes and objects.mp43.25MB
  168. 5. Python for Data Engineering from Beginner to Advanced/6 - OOP with Python/2. Implementation Classes and objects in Python.mp47.21MB
  169. 5. Python for Data Engineering from Beginner to Advanced/6 - OOP with Python/3. Understand OOP features Abstraction, inheritance, and more.mp44.51MB
  170. 5. Python for Data Engineering from Beginner to Advanced/6 - OOP with Python/4. Solution Accessing Object attributes.mp44.83MB
  171. 5. Python for Data Engineering from Beginner to Advanced/7 - Advanced Data Engineering/1. Tips to write efficient Python code.mp44.82MB
  172. 5. Python for Data Engineering from Beginner to Advanced/7 - Advanced Data Engineering/2. What is ETL in the data engineering world.mp45.02MB
  173. 5. Python for Data Engineering from Beginner to Advanced/7 - Advanced Data Engineering/3. What is Hadoop.mp43.69MB
  174. 5. Python for Data Engineering from Beginner to Advanced/7 - Advanced Data Engineering/4. Understand PySpark for data engineering.mp45.18MB
  175. 5. Python for Data Engineering from Beginner to Advanced/7 - Advanced Data Engineering/5. Importance of visualization tools in DE.mp46.83MB
  176. 5. Python for Data Engineering from Beginner to Advanced/7 - Advanced Data Engineering/6. On-prem vs. cloud data engineering.mp44.42MB
  177. 5. Python for Data Engineering from Beginner to Advanced/8 - Capstone Project/1. Capstone project Retail sales analysis.mp45.06MB
  178. 5. Python for Data Engineering from Beginner to Advanced/9 - Conclusion/1. Next steps.mp41.27MB
  179. 6. Data Engineering dbt for SQL/0 - Introduction/1. Introduction.mp44.67MB
  180. 6. Data Engineering dbt for SQL/0 - Introduction/2. What you should know.mp42.53MB
  181. 6. Data Engineering dbt for SQL/0 - Introduction/3. Codespaces introduction.mp45.03MB
  182. 6. Data Engineering dbt for SQL/1 - SQL for Data Engineers/1. SQL as a data engineer.mp44.95MB
  183. 6. Data Engineering dbt for SQL/1 - SQL for Data Engineers/2. The modern data stack and SQL.mp45.79MB
  184. 6. Data Engineering dbt for SQL/1 - SQL for Data Engineers/3. Schema design.mp45.93MB
  185. 6. Data Engineering dbt for SQL/1 - SQL for Data Engineers/4. Challenge Schema design.mp43.24MB
  186. 6. Data Engineering dbt for SQL/1 - SQL for Data Engineers/5. Solution Schema design.mp44.69MB
  187. 6. Data Engineering dbt for SQL/2 - Modeling in SQL/1. Supply chain outage SQL spaghetti.mp48.22MB
  188. 6. Data Engineering dbt for SQL/2 - Modeling in SQL/2. Data build tool (dbt).mp44.2MB
  189. 6. Data Engineering dbt for SQL/2 - Modeling in SQL/3. Modeling in dbt.mp414.43MB
  190. 6. Data Engineering dbt for SQL/2 - Modeling in SQL/4. Running dbt.mp411.06MB
  191. 6. Data Engineering dbt for SQL/2 - Modeling in SQL/5. Challenge Modeling taxi data.mp43.12MB
  192. 6. Data Engineering dbt for SQL/2 - Modeling in SQL/6. Solution Modeling taxi data.mp46.17MB
  193. 6. Data Engineering dbt for SQL/3 - Table Materializations/1. Crypto cost Materializations.mp46.77MB
  194. 6. Data Engineering dbt for SQL/3 - Table Materializations/2. Materialization terminology.mp48.34MB
  195. 6. Data Engineering dbt for SQL/3 - Table Materializations/3. Incremental materializations.mp44.54MB
  196. 6. Data Engineering dbt for SQL/3 - Table Materializations/4. Challenge Materializations.mp43.98MB
  197. 6. Data Engineering dbt for SQL/3 - Table Materializations/5. Solution Materializations.mp48.24MB
  198. 6. Data Engineering dbt for SQL/4 - Common Table Expressions vs. Subqueries/1. Construction planning Query complexity.mp47.43MB
  199. 6. Data Engineering dbt for SQL/4 - Common Table Expressions vs. Subqueries/2. Common table expressions (CTEs) vs. subqueries.mp45.64MB
  200. 6. Data Engineering dbt for SQL/4 - Common Table Expressions vs. Subqueries/3. CTEs in dbt.mp44.8MB
  201. 6. Data Engineering dbt for SQL/4 - Common Table Expressions vs. Subqueries/4. Challenge Implementing CTEs.mp44.58MB
  202. 6. Data Engineering dbt for SQL/4 - Common Table Expressions vs. Subqueries/5. Solution Implementing CTEs.mp45.73MB
  203. 6. Data Engineering dbt for SQL/5 - Testing SQL with dbt/1. Advertising Testing SQL.mp46.4MB
  204. 6. Data Engineering dbt for SQL/5 - Testing SQL with dbt/2. Unit testing using dbt.mp410.4MB
  205. 6. Data Engineering dbt for SQL/5 - Testing SQL with dbt/3. Custom tests in dbt.mp49.88MB
  206. 6. Data Engineering dbt for SQL/5 - Testing SQL with dbt/4. Challenge Testing SQL.mp45.35MB
  207. 6. Data Engineering dbt for SQL/5 - Testing SQL with dbt/5. Solution Testing SQL.mp410.81MB
  208. 6. Data Engineering dbt for SQL/6 - Conclusion/1. Looking ahead.mp46.84MB
  209. 6. Data Engineering dbt for SQL/6 - Conclusion/2. Next steps.mp48.32MB
  210. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/0 - Introduction/1. Advanced Snowflake.mp46.16MB
  211. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/0 - Introduction/2. Snowflake architecture.mp47.82MB
  212. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/0 - Introduction/3. Getting set up with Snowflake.mp43.93MB
  213. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/1. Micropartitioning and clustering.mp47.25MB
  214. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/2. Types of tables in Snowflake.mp46.55MB
  215. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/3. Creating permanent tables.mp47.79MB
  216. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/4. Creating temporary tables.mp49.96MB
  217. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/5. Creating transient tables.mp49.48MB
  218. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/6. Configuring data retention time.mp44.49MB
  219. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/7. Querying historical data.mp46.77MB
  220. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/8. Dropping and restoring tables.mp43.81MB
  221. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/2 - Views in Snowflake/1. Non-materialized, materialized, and secure views.mp45.5MB
  222. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/2 - Views in Snowflake/2. Creating and populating tables.mp45.83MB
  223. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/2 - Views in Snowflake/3. Creating and querying views.mp46.04MB
  224. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/2 - Views in Snowflake/4. Recreating views.mp43.33MB
  225. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/2 - Views in Snowflake/5. Querying regular views and secure views.mp48.28MB
  226. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/2 - Views in Snowflake/6. Creating and querying materialized views.mp48.28MB
  227. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/1. Caching, clustering, and search optimization.mp48.92MB
  228. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/2. Loading data using COPY INTO.mp48.66MB
  229. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/3. Retrieval optimization using cached results.mp48.67MB
  230. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/4. Enabling clustering on tables.mp49.12MB
  231. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/5. Querying clustered tables.mp48.63MB
  232. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/6. Querying clustering information.mp45.53MB
  233. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/7. Running point lookup queries on search-optimized tables.mp411.21MB
  234. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/8. Clustering vs. search optimization.mp412.61MB
  235. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/4 - Working with Semi-structured Data/1. Loading and querying parquet data.mp412.2MB
  236. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/4 - Working with Semi-structured Data/2. Loading JSON data.mp416.22MB
  237. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/4 - Working with Semi-structured Data/3. Querying JSON data.mp410.19MB
  238. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/5 - Managing Users and Granting Privileges/1. Access control.mp46.97MB
  239. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/5 - Managing Users and Granting Privileges/2. Creating users and viewing grants.mp49.46MB
  240. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/5 - Managing Users and Granting Privileges/3. Granting privileges to roles.mp49.58MB
  241. 7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/6 - Conclusion/1. Summary and next steps.mp42.29MB
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