Data Management: The Good, The Bad, The Ugly
Could this be the end of the 2 AM page? Learn how Databricks helps data engineers sleep at night.
Maintaining data infrastructure isn’t easy, but it’s the foundation that makes ML, AI and data science possible. Discover how Databricks simplifies data management — from data processing with ETL to data governance — and why that makes the lakehouse architecture a reality.
You’ll also learn about newly released features and tools that extend the power of Databricks as a Lakehouse platform. Here’s what we’ll cover:
How to automatically and reliably ingest and prepare structured and unstructured data at scale for data lakes
How to simplify your architecture and enable data scientists and analysts to query the freshest and most complete data using their SQL and BI tools of choice
How to centrally share and govern data within and across organizations using open source Delta Sharing and a unified data catalog
This presentation will come to life with an end-to-end demo of Databricks’ most recent capabilities for end-to-end data management and a live Q&A throughout the event.
You can follow along with the notebooks in the link below and practice at your own pace.
https://github.com/databricks/delta-live-tables-notebooks
https://databricks.com/p/webinar/data-management-the-good-the-bad-the-ugly
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/
by Databricks
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