DEVOPSdigest

Cloudera announced new hybrid data capabilities that enable organizations to more efficiently move data, metadata, data workloads and data applications across clouds and on premises to optimize 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 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 analyze it without limitations.

Cloudera's new data analytics and data management innovations for hybrid data are specifically designed to help organizations manage data at scale across data centers 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. "Organizations 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 hybrid cloud, and with these updates will do so between all data services across all infrastructures."

The new Cloudera data analytics and data management innovations for hybrid data include:

- Portable Data Services enable data analytics and the data applications that are built with them to be moved quickly and efficiently between different infrastructures without costly redeveloping or rearchitecting the data applications. CDP Data Services – Data Engineering, Data Warehousing and Machine Learning – are each built on a unified code base and offer identical functionality on AWS, Azure and on-prem Private Cloud. Using data services that run identically across different clouds – yes the same bits – makes it easier for users, administrators and developers to turn data into value and insight. Users have the same data experience, irrespective of where the data is stored or where the data applications run – the same data analytics functions, same Cloudera SDX security and governance, tailored to run seamlessly with the cloud-native storage on the preferred cloud. Cloudera delivers true hybrid data analytics that enables organizations to easily move data workloads and data applications across clouds to optimize for performance, cost and security.

- Secure Data Replication enables data and the metadata to be copied or moved quickly and securely between different Cloudera deployments in data centers and public clouds. Data is often created in different places from where it's needed. Secure data replication is enabled by the replication manager, the latest addition to Cloudera SDX. Cloudera's Replication Manager moves the metadata that carries data security and governance policies with the data wherever it goes, eliminating the need to reimplement them. Replication manager is a data movement service that moves data and metadata from on-premises to cloud or cloud to cloud in real time with an easy policy driven interface, enabling hybrid data flexibility.

- Universal Data Distribution enables companies to take control of their data flows, from origination through all points of consumption both on-premises and in the cloud, in a universal way that's simple, secure, scalable and cost-effective. Universal data distribution is enabled by Cloudera DataFlow, the first data ingestion solution built for a hybrid data world. Unlike dumbed-down, target-system-specific, wizard-based connector solutions, Cloudera DataFlow provides indiscriminate data distribution with 450+ connectors and processors across an ecosystem of hybrid cloud services including data lakes, lakehouses, cloud warehouses, on-premises and edge data sources. Cloudera DataFlow, is a true hybrid data ingestion solution that addresses the entire diversity of data movement use cases: batch, event-driven, edge, microservices and continuous/streaming. With Cloudera DataFlow, streaming is treated as a first-class citizen, turning any data source into a data stream, supporting streaming scale, and unlocking hundreds of thousands of data-generating clients.