Apache Spark powers data engineering at scale. Learn how to build efficient data pipelines that transform raw data into business insights.
Understand Spark's architecture. The driver program coordinates work across executors. RDDs, DataFrames, and Datasets provide different abstraction levels for data processing.
Optimisation is critical for performance. Partition data appropriately, avoid shuffles when possible, and use broadcast joins for small lookup tables. Monitor Spark UI to identify bottlenecks.
Integrate with modern data stacks. Use Delta Lake for ACID transactions on data lakes. Connect to data warehouses like Snowflake or BigQuery for serving analytics.
Rohit Joshi
Data Engineer
Rohit Joshi is a technology expert at IB Solutions with extensive experience in ai/ml. They regularly share insights and best practices to help businesses succeed.
