An Overview: Why Data Lakehouse? Why Apache Iceberg? Why Dremio?

<h1>How did they Overcome</h1> The pillar that has enabled these outcomes has been Dremio, a platform allowing more flexible data lakehouse architectures (enabling your data anywhere to work everywhere and avoid excessive data copies and cumbersome data silos). <img alt="" src="https://miro.medium.com/v2/resize:fit:700/0*lw8whzQMR6FZuD2L" style="height:317px; width:700px" /> Dremio offers solutions to several pain points in delivering data. <ul> <li>Connect to several data sources, providing a unified access layer for your users</li> <li>Dremio integrates with all your favorite tools and enables a sub-second BI dashboard directly on your data</li> <li>Govern Access to all your data sources from one access point so you know who can access what from one dashboard.</li> <li>Git-for-Data features allow for isolation, multi-table transactions, reproducibility, zero-copy environment creation and more for Apache Iceberg datasets in a Dremio Arctic catalog.</li> <li>Dremio’s self-service features allow data users to independently curate data from connected sources, even if they aren’t SQL experts.</li> <li>Dremio allows the data to be easily consumed via Web UI, REST API, JDBC/ODBC and Arrow Flight</li> </ul> <a href="https://alexmercedcoder.medium.com/an-overview-why-data-lakehouse-why-apache-iceberg-why-dremio-cd1f24412eea">Learn More</a>