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Most companies use Hadoop for big data analytical workloads. The problem is, on-premises Hadoop deployments have failed to deliver business value after it is implemented. Over time, the high cost of operations and poor performance places a limitation on an organization’s ability to be agile.
Master and grow your skills of hadoop modernization.
Listen to inspiring success stories from organizations that have modernized hadoop with the data lakehouse on dremio.
Gain valuable insights, the right connections & the necessary inspiration by exploring use cases for modernizing Hadoop workloads.
Pave the way for hadoop modernization and network & engage with industry experts Tony Truong and Kamran Hussain from Dremio.
Dremio is a high-performance SQL (data) lakehouse platform built on an open data architecture that helps to accelerate BI and Analytics directly on cloud data lake storage.
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