Upserts, Deletes And Incremental Processing on Big Data.
Use this project to join data from multiple csv files. Currently in this project we support one to one and one to many join. Along with this you can find how to use kafka producer efficiently with spark.
Source code for the work "dSpark: Deadline-Based Resource Allocation for Big Data Applications in Apache Spark" published in IEEE e-Science 2017
Sample project to run databricks job using a java jar and utilising UDFs.
Projects completed as part of the CSE 6332 CCBD course at UTA, covering distributed computing, data processing frameworks, and cloud platforms.
This comprehensive course is designed for beginners and experienced developers alike, providing an in-depth exploration of Apache Spark
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