Cloudera Introduces New Hybrid Data Capabilities

Cloudera announces new hybrid data capabilities that enable organizations to move data, metadata, data workloads, and data applications between the cloud and on-premises more efficiently, optimizing performance, cost, and security. did.

Cloudera’s portable data services enable simple, low-risk movement of data workloads and data applications for the ultimate data lakehouse selectivity. The company’s new secure data replication simplifies and protects the movement of data and metadata. This is the latest SDX enhancement in Cloudera’s unified data fabric.

Cloudera’s Universal Data Distribution offers the first data ingestion solution built for hybrid data. These new capabilities are key to controlling hybrid data through a data-first strategy. If the company handles the data correctly, it can be accessed and analyzed unlimitedly by the entire company.

“As data continues to grow exponentially, enterprises must identify critical tools to enable rapid business transformation in an increasingly hybrid and multi-cloud environment,” said Daniel Newman of Futurum. Founding Partner and Principal Analyst at Research.

“Cloudera has a long track record of handling large and complex data volumes in even the most highly regulated and compliance-focused industries,” he says.

With these updates, Cloudera further advances its leadership position for data-first companies looking to leverage AI, ML, and hybrid architectures to propel their business forward. “

Remus Lim, Cloudera’s vice president of Asia Pacific and Japan, said:

“As more organizations adopt modern data architectures, the ability to rapidly leverage both on-premises and cloud-based data will be critical,” he says.

“Being able to efficiently and securely move data between applications and workloads across a hybrid infrastructure is critical and will be key to our future success.”

The amount of data companies collect and store from on-premises, cloud, and streaming locations continues to grow exponentially. Statista predicts that the total amount of data generated worldwide will reach over 180 zettabytes by 2025. This is the challenge of hybrid data. Add to the pressure that organizations need to extract insights from data at an ever-faster pace are economic and market forces.

Moreover, industry experts agree that taking control of data at scale is the only way to use ML and AI to drive continuous business transformation. 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, enabling ML and AI business transformation. increase.

Sudhir Menon, Cloudera’s Chief Product Officer, said:

“Organizations that choose a data-first strategy can focus on how they deliver value, not just how they spend money. We can move data and workloads anywhere,” he says.

“Cloudera has always delivered consistent data security and governance across the hybrid cloud, and these updates bring it to life across all data services on all infrastructures.”

Cloudera’s new data analytics and data management innovations for hybrid data include:

Portable data service It enables you to quickly and efficiently move data analytics and the data applications built on it across different infrastructures without costly redevelopment or redesign of data applications.
CDP Data Services data engineering, data warehousing, and machine learning are each built on a unified code base, delivering identical capabilities across AWS, Azure, and on-premises private clouds.
With data services that behave identically across different clouds, it’s easier for users, administrators, and developers to turn data into value and insight.
Users get the same data experience regardless of where the data is stored or where the data application performs the same data analysis functions. The same Cloudera SDX security and governance are tuned to run seamlessly with cloud-native storage on your preferred cloud. Only Cloudera offers true hybrid data analytics, enabling organizations to easily move data workloads and data applications between clouds to optimize performance, cost, and security.

Secure data replication Allows you to quickly and securely copy or move data and metadata between different Cloudera deployments in your data center and public cloud. Data is often created in a different place than where it is needed. The latest addition to Cloudera SDX is the Replication Manager, which enables secure data replication. Only Cloudera’s Replication Manager moves the metadata that holds your data security and governance policies to where your data is moving, eliminating the need to reimplement them. Replication Manager is a data movement service that moves data and metadata from on-premises to the cloud or from the cloud to the cloud in real time, using a simple policy-driven interface for hybrid data flexibility.

Universal data delivery Businesses can control the flow of data in a simple, secure, scalable, cost-effective and universal way from origin to all points of consumption, both on-premises and in the cloud. Cloudera DataFlow, the first data ingestion solution built for a hybrid data world, enables universal data delivery. Unlike simple target-system-specific, wizard-based connector solutions, Cloudera DataFlow supports over 450 connectors and processors across an ecosystem of hybrid cloud services including data lakes, lakehouses, cloud warehouses, on-premises, and edge. Distribute data indiscriminately using data source. Cloudera DataFlow is a true hybrid data ingestion solution that spans a wide variety of data movement use cases including batch, event-driven, edge, microservices and continuous/streaming. Cloudera DataFlow treats streaming as a first-class citizen, transforming any data source into a data stream, supporting streaming scale and unlocking hundreds of thousands of data-producing clients.

Cloudera Introduces New Hybrid Data Capabilities

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