In this presentation, Vineet will be explaining case study of one of my customers using Spark to migrate terabytes of data from GPFS into Hive tables. The ETL pipeline was built purely using Spark. The pipeline extracted target (Hive) table properties such as - identification of Hive Date/Timestamp columns, whether target table is partitioned or non-partitioned, target storage formats (Parquet or Avro) and source to target columns mappings. These target tables contain few to hundreds of columns and non standard date fomats into Hive standard timestamp format. About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. Read more here: https://databricks.com/product/unified-data-analytics-platform Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner