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Product News : Cloudera Launches Cloudera Enterprise 5
on 2013/10/31 13:03:23 (475 reads)
Product News

Cloudera has unveiled the fifth generation of its Platform for Big Data, Cloudera Enterprise, which is now available for public beta. The new product release, powered by Apache Hadoop 2, offers unique features and advancements that simplify storing, processing, analyzing and managing large structured and unstructured datasets, while offering increased security, robust data management and tight integration with third-party applications.

The combination of innovative updates to CDH (Cloudera's Distribution Including Apache Hadoop) at the core -- plus enhancements to Cloudera Manager for Hadoop system administration and Cloudera Navigator for Hadoop audit and access control, data discovery and lineage analysis -- together deliver the industry's first Enterprise Data Hub.

"With Cloudera Enterprise 5, Cloudera has taken several important steps toward realizing its vision to transform Hadoop into an enterprise data hub for analytics," said Tony Baer, Principal Analyst for Ovum. "Adding support for in-memory data tiering and user-defined functions are essential for delivering the kind of performance that enterprises expect from their analytic data platforms."

Rethink Data: Introducing the Enterprise Data Hub

 

Organizations currently employ a variety of systems to support their diverse data hub goals: data warehouses for operational reporting; storage systems to keep data available and safe; specialized massively-parallel databases for large-scale analytics; and search systems for finding and exploring documents. While these systems are suitable for traditional data and workloads, they are not equipped to handle today's exponential growth in data volume and variety, or the range of users who seek insights from that data. And because each system is purpose-built for a particular class of data and workload, no single system can provide unified access to all relevant information to diverse business users. A new hybrid approach is required, which pragmatically extends the value of existing investments while enabling fundamentally new ways of delivering value from data.

The objective is simple: Acquire and combine any amount or type of data in its original fidelity, in one place, for as long as is necessary, and deliver insights to all kinds of users, as fast as possible. And do so with maximum efficiency of capital and resources.

The solution? The Enterprise Data Hub. One place to store and work with all data, with the flexibility to run a variety of enterprise workloads -- including batch processing, interactive SQL, enterprise search and advanced analytics -- together with the integrations to existing systems, robust security, governance, data protection, and management that enterprises require. The Enterprise Data Hub is the emerging and necessary center of enterprise data management, complementing existing infrastructure.

Cloudera Enterprise 5: Next Generation Platform for Big Data powered by Apache Hadoop

Built for the demanding requirements of enterprise customers, Cloudera Enterprise enables companies to store, process and analyze unlimited amounts of data and applications from a single system. The newest innovations in Cloudera Enterprise 5 offer customers a significant leap forward in the evolution of the platform, which can now be used to efficiently address an even wider range of business problems. Customers can now use Cloudera to easily handle the rapidly increasing data volume and variety they face, absorbing a growing share of data and workloads from legacy infrastructure while optimizing the efficiency of those existing systems.

Cloudera Enterprise 5 offers a single platform from which organizations can tackle diverse critical business problems:
* Automatically archiving the complete set of enterprise data to meet compliance requirements while retaining queryable access;
* Complementing data warehouses to offload data and workloads to help customers increase efficiency and manage costs, while delivering faster ETL/ELT data processing at scale;
* Supporting business intelligence, through familiar tools, on more data and more kinds of data than ever before possible;
* Enabling and consolidating enterprise search on data and documents in-place within the single environment; and
* Accelerating a diverse array of advanced analytics solutions, like recommendation engines, fraud detection or image processing.

Increasingly, strategic partners like Informatica are certifying reference architectures to bring these benefits to joint customers. For example, Informatica and Cloudera together provide a "Data Warehouse Optimization" solution to address the challenges facing traditional data warehouse infrastructures, where capacity is too quickly consumed by increasing data volumes, leading to performance bottlenecks and costly upgrades.

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