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In this solution, the issue of creating a table with case-sensitive columns (in the scenario where the table doesn't exist or when writing the table in overwrite mode) in Oracle has been addressed by developing a custom Oracle dialect and registering it.
This project presents a distributable solution based on Spark Java, aiming to connect start and end session events together in a stateful manner. The project utilizes `flatMapGroupWithState`functionality which is a powerful feature for stateful stream processing in Spark. It enables you to maintain and update the state across batches.
This Spark Java project serves as a demonstration of Gradle Spark configuration, specifically focusing on utilizing the MemoryStream class as the streaming source.
MapReduce Job Development, RDDs Programming, Medical Data Management, Sales Analysis, And Efficient Data Integration For Big Data Analysis. Spark: Big Data Processing, SQOOP Integration, And Spark Structured Streaming For Real-Time Data.