Introduction
Overview of Data Access Approaches (Hive, databases, etc.)
Overview of Spark Features and Architecture
Installing and Configuring Spark
Understanding Dataframes in Spark
Defining Tables and Importing Datasets
Querying Data Frames using SQL
Carrying out Aggregations, JOINs and Nested Queries
Uploading and Accessing Data
Querying Different Types of Data
JSON, Parquet, etc.
Querying Data Lakes with SQL
Troubleshooting
Summary and Conclusion
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