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Урок 1. 00:02:31Course Overview
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Урок 2. 00:02:35Big Data trunk Introduction !!
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Урок 3. 00:11:43Big Data before Spark
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Урок 4. 00:07:31Big Data After Spark
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Урок 5. 00:04:12Introduction to Apache Spark
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Урок 6. 00:06:02Spark - RDD
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Урок 7. 00:06:33Lab - Ways for creating RDD
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Урок 8. 00:04:53Spark Application Architecture
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Урок 9. 00:07:19Spark Operations - Transformation & Action
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Урок 10. 00:07:43Lab - Transformation & Action
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Урок 11. 00:09:21DAG (Direct Acyclic Graph)
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Урок 12. 00:06:37Spark Databricks Analytics in Azure
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Урок 13. 00:05:25Why Databricks ?
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Урок 14. 00:03:16Provisioning Databricks workspace in Azure portal
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Урок 15. 00:04:35Using Databricks community Edition
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Урок 16. 00:03:19Use notebook in Databricks
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Урок 17. 00:08:02Spark SQL
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Урок 18. 00:10:29Developing Spark application
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Урок 19. 00:14:07Developing Spark ML application
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Урок 20. 00:07:48Developing Spark Streaming applications (real time Twitter Data)
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Урок 21. 00:10:07Optimizing Spark Performance
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Урок 22. 00:03:51Spark Vs Hadoop / mapReduce
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Урок 23. 00:02:00Spark Core
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Урок 24. 00:05:44Something more about RDD
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Урок 25. 00:03:17Type Safety in Dataset
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Урок 26. 00:02:16Justify Lazy Evaluation in Spark
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Урок 27. 00:05:45Explain Fault Tolerance in Spark
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Урок 28. 00:02:58Coalesce and Repartition
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Урок 29. 00:01:07Spark Executor Memory
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Урок 30. 00:06:34Garbage Collection Optimization in Spark
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Урок 31. 00:00:42Thanks You looking way forward !!
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