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According to the latest DZone Data Pipelines Trend Report, data professionals spend over half of their time working on data extraction, loading, and transformation, and the most prevalent methods of ingestion and transformation are manual and ad hoc ETL processes. As data sources proliferate, the challenge facing data teams will be to scale ingestion and transformation processes and respond quickly to a growing number of data access requests from technical and non-technical data consumers across their businesses.
In this on-demand session, we’ll explore the results of the Trend Report, and show how an open data lakehouse can simplify your data architecture and accelerate time to value for the newest and fastest growing data sources. |
