Accelerate Spark-Based Analytics by Minimizing the Barriers of Large, Complex Hadoop Migration
Description
Enterprise organizations recognize that on-premises Hadoop environments have become overly expensive to run and maintain and cannot effectively meet today’s Data + Analytics team demands. Business critical initiatives require moving petabytes of data to the cloud in the pursuit of digital transformation initiatives, cost optimization, IT agility, and implementation of AI and Machine learning. However migrating data from Hadoop to Azure to begin data modernization and Spark-based analytics is often stalled by the complexity of migrations. WANdisco and Avanade have developed a methodology to minimize this migration risk and begin petabyte-scale data migration with zero downtime, zero data loss, and faster time-to-value. 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/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the …
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