EP13 - Making the Move: Five Factors to Consider When Migrating from Hadoop to the Data Lakehouse

Most users of the Hadoop platform are fed up with its high cost of operational overhead and poor performance. With innovations around open source standards, like Apache Iceberg and Arrow, the data lakehouse has emerged as the destination for companies migrating off Hadoop. In this video of Gnarly Data Waves, you will learn about: - 5 key factors to consider as you migrate off Hadoop to the Data Lakehouse - Why Apache Iceberg replaced Hive metastore - Creating a unified access layer on your data lakehouse with Dremio See all upcoming episodes: https://www.dremio.com/gnarly-data-wa... 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 #migration #ETL #datasilos #datagrowth #selfservice #compliance #arctic #dataascode #branches #tags #optimized #automates #datamovement #zorder #clustering #metrics #filtering #partitioning #sorting #tableformat #hive #hadoop #metastore #ApacheArrow #treehive #donaldfarmer