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Spark Essentials with Scala
Welcome
Welcome (11:31)
How to Make the Best out of This Course (2:32)
Scala Recap (25:05)
Spark First Principles (8:59)
Spark Structured API with DataFrames
DataFrames Basics (23:09)
DataFrames Basics: Exercises (8:16)
How DataFrames Work (6:22)
Data Sources (13:24)
Data Sources, Part 2 + Exercises (27:43)
DataFrame Columns and Expressions (24:33)
Columns and Expressions: Exercises (17:12)
DataFrame Aggregations (28:13)
DataFrame Joins (20:23)
Joins: Exercises (17:27)
Spark Types and Datasets
Working with Spark Types (28:31)
Advanced Spark Types (21:17)
Managing Nulls in Data (17:14)
Type-Safe Processing: Datasets (24:17)
Datasets, Part 2 + Exercises (15:40)
Spark SQL
The Spark SQL Shell (13:39)
Programmatic Spark SQL (17:11)
Spark SQL: Exercises (19:53)
Spark Low-Level
RDDs (17:05)
RDDs, Part 2 + Exercises (26:48)
Practical Spark
How Spark Runs on a Cluster (32:19)
Deploying Spark Applications on a Cluster (23:10)
A Real Big Data Project
A Big Data Problem (14:07)
Investigative Data Analysis on Big Data (27:48)
Investigative Data Analysis on Big Data, Part 2 (35:38)
Gathering Answers and Running our Solution on Amazon EMR (20:20)
Epilogue
You ROCK! (0:30)
Type-Safe Processing: Datasets
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