Improving Data Processing with Spark 3.0 & Delta Lake
Smart Data Collective
AUGUST 5, 2021
Collecting, processing, and carrying out analysis on streaming data , in industries such as ad-tech involves intense data engineering. The data generated daily is huge (100s of GB data) and requires a significant processing time to process the data for subsequent steps. Another challenge is the joining of datasets to derive insights. Each process on average has more than 10 datasets and an equal number of joins with multiple keys.
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