Cloudera Continues Pace of Data Fabric and Data Lakehouse Innovation 

 

Cloudera, has announced new hybrid data capabilities that enable organisations to more efficiently move data, metadata, data workloads and data applications across clouds and on-premises to optimise for performance, cost and security. Cloudera’s portable data services enable simple, low-risk data workload and data application movement for ultimate data lakehouse optionality. The company’s new secure data replication simplifies and secures the movement of data and metadata, the latest SDX enhancement in Cloudera’s unified data fabric. And Cloudera universal data distribution delivers the first data ingestion solution built for hybrid data. These new capabilities are key to getting control of hybrid data through a data-first strategy. When companies do right by their data, the entire business can access and analyse it without limitations.

“As data continues to grow exponentially, enterprises must identify the critical tools that enable rapid business transformation in an increasingly hybrid and multi-cloud environment,” said Daniel Newman, founding partner and principal analyst, Futurum Research. “Cloudera has a long proven track record for handling large and complex data volumes in even the most highly regulated and compliance-intensive industries. With these updates, Cloudera is further advancing its position as a leader for data-first enterprises seeking to leverage AI, ML, and hybrid architectures to drive their businesses forward.”

The volume of data businesses collect and store from on-premises, cloud and streaming locations continues to soar. Statista projects the total amount of data generated globally to hit more than 180 zettabytes by 2025. This is the challenge of hybrid data. Adding to the pressure that requires organisations to derive insights from their data at an ever-faster pace, are economic and market forces. Furthermore, industry experts agree that getting control of data at scale is the only way to drive continuous business transformation with ML and AI. Cloudera’s new data analytics and data management innovations for hybrid data are specifically designed to help organisations manage data at scale across data centres and public clouds, helping make ML and AI business transformation possible.

“Cost or performance is not a choice companies want to make, especially since – as enterprises move to a hybrid, multi-cloud world – these two things are tightly interlinked,“ said Sudhir Menon, CPO at Cloudera. “Organisations that choose a data-first strategy can focus on how they deliver value, not just how they spend money. A huge piece of this is the ability to move data and workloads whenever and wherever throughout a modern data architecture to meet evolving business requirements. Cloudera has always provided consistent data security and governance across the hybrid cloud, and, with these updates, will do so between all data services across all infrastructures.”  

 

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