EP8 - Managing your data as code with Dremio Arctic

As data lakes become the primary destination for growing volumes of customer and operational data, data teams need tools and processes that ensure data quality and consistency across data consumers and use cases. Join Dremio’s Jeremiah Morrow and Alex Merced as they discuss the emergence of data as code for data management, its benefits for data teams, and how Dremio customers are using it to deliver access to a consistent and accurate view of data in their data lakes.  In this video on Gnarly Data Waves - Managing your data as code with Dremio Arctic, you will learn about: - Why data as code is necessary for ensuring consistency and data quality for large data lakes. - How Dremio Arctic uses Git-like concepts such as branches, tags, and commits to make data management easy. - Some high value use cases for data as code. See all upcoming episodes: https://www.dremio.com/gnarly-data-waves/?utm_medium=social-free&utm_source=youtube&utm_term=GDWEP8&utm_content=gdw-OD&utm_campaign=gdw-EP8 Connect with us! Twitter: https://bit.ly/30pcpE1 LinkedIn: https://bit.ly/2PoqsDq Facebook: https://bit.ly/2BV881V Community Forum: https://bit.ly/2ELXT0W Github: https://bit.ly/3go4dcM Blog: https://bit.ly/2DgyR9B Questions?: https://bit.ly/30oi8tX  Website: https://bit.ly/2XmtEnN #datalakehouse #analytics #datawarehouse #datalake #opendatalakehouse #gnarlydatawaves #apacheiceberg #dremio #dremioartic #datamesh #metadata #modernization #datasharing #datagovernance #ETL #datasilos #datagrowth #selfservice #compliance #artic #dataascode #branches #tags