Welcome!

Cloud Security Authors: Pat Romanski, Zakia Bouachraoui, Elizabeth White, Yeshim Deniz, Liz McMillan

News Feed Item

Cloudera Enterprise 5 Sets New Standard for Data Management; Lays Foundation for The Enterprise Data Hub

Company Extends Category Leadership With Public Beta Release of CDH 5 and Cloudera Enterprise 5; Unveils Industry's First Enterprise Data Hub and Analysis Platform

PALO ALTO, CA and NEW YORK, NY -- (Marketwired) -- 10/29/13 -- From Strata + Hadoop World: Cloudera, the leader in enterprise analytic data management powered by Apache Hadoop™, today 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.

Key advances in Cloudera Enterprise 5 include:

Accelerated Time-to-Value

  • In-Memory HDFS Caching: Datasets from HDFS can now be cached in-memory, boosting MapReduce data processing performance and Cloudera Impala's analytic query response times for even faster time to insight.
  • User-Defined Functions (UDFs): Customers can now use the custom query functions they depend on in conjunction with Cloudera Impala to deliver the business insights they require. They can also take advantage of the popular open source MADlib library of pre-built statistical and analytic functions to enable scalable in-database analytics.

Improved Efficiency

  • Resource Management: Cloudera Enterprise now delivers advanced resource management for running multiple frameworks for data processing and analysis on a single cluster through the powerful combination of Hadoop YARN (Yet Another Resource Negotiator) and Cloudera Manager. For the first time, administrators can allocate resources not only by workload, but by workgroup, ensuring the best combination of performance and utilization. For example, customers can dedicate 50% of capacity for IT to run mission critical data processing jobs, 30% to the marketing team for ad-hoc BI queries, and so on.
  • Unified Management of Third Party Applications. Cloudera Manager now provides extensibility to enable customers to deploy, manage and monitor products from Cloudera partners such as SAS, Revolution Analytics, Syncsort and many more. Now, customers can manage complex clustered environments from within a single, intuitive interface.

Comprehensive Data Management

  • Manage and Explore Big Data. In addition to enabling centralized data auditing for Hadoop, Cloudera Navigator now provides:
    • Data Discovery: Analysts and data modelers can search, explore, define and tag datasets through the Cloudera Navigator interface, to help identify relevant information for downstream analysis or processing.
    • Data Lineage: As the amount of data in Cloudera Enterprise grows, so does the importance of understanding how that data is used across the organization. Cloudera Navigator delivers the industry's first data lineage solution for Hadoop, enabling customers to meet regulatory requirements, find associated datasets, and satisfy data governance and retention policies.
  • Data Protection: HDFS and HBase now support snapshots to help prevent data loss.
  • NFS-based Data and Application Access: Easily integrate Cloudera Enterprise with data in and applications running on existing filesystems with native support for NFSv3.

"Over the last five years, we have worked closely with enterprises around the world to help them capture the value in the data they have. Resoundingly, they have asked for a more secure, more reliable real-time data platform that streamlines their existing architectures and speeds up time to insight," said Mike Olson, chairman and chief strategy officer, Cloudera. "The market has spoken and we are listening. The new capabilities introduced in Cloudera Enterprise 5 deliver the industry's first Enterprise Data Hub."

Product Availability and Documentation
Public beta releases of Cloudera Enterprise 5 and CDH 5 are now available. To learn more about Cloudera Enterprise 5, visit http://cloudera.com/CE5. To learn more about CDH 5, or to download it for free, visit http://www.cloudera.com/content/cloudera/en/products/cdh.html.

The Cloudera Enterprise Data Hub is available today on Cloudera Enterprise 4, for more information contact Cloudera on [email protected].

This information is not a commitment, promise or legal obligation to deliver any material, code, or functionality. Cloudera does not guarantee that the beta software will be made generally available or that any individual feature in the beta version will be made generally available. Cloudera may make the beta software generally available, or not, in its sole discretion and without obligation to make any communication of any kind with regard to such availability.

About Cloudera
Cloudera is revolutionizing enterprise data management by offering the first unified Platform for Big Data: The Enterprise Data Hub. Cloudera offers enterprises one place to store, process and analyze all their data, empowering them to extend the value of existing investments, while enabling fundamental new ways to derive value from their data. Founded in 2008, Cloudera was the first, and is still today, the leading provider and supporter of Hadoop for the enterprise. Cloudera also offers software for business critical data challenges, including storage, access, management, analysis, security and search. With over 15,000 individuals trained, Cloudera is a leading educator of data professionals, offering the industry's broadest array of Hadoop training and certification programs. Cloudera works with over 700 hardware, software and services partners to meet customers' big data goals. Leading organizations in every industry run Cloudera in production, including finance, telecommunications, retail, internet, utilities, oil and gas, healthcare, biopharmaceuticals, networking and media, plus top public sector organizations globally. www.cloudera.com

Connect with Cloudera
Read our blog: http://www.cloudera.com/blog/
Follow us on Twitter: http://twitter.com/cloudera
Visit us on Facebook: http://www.facebook.com/cloudera

Cloudera, Cloudera Manager, Cloudera Navigator, CDH, Cloudera Enterprise, Cloudera Standard and Cloudera Enterprise Data Hub are trademarks or registered trademarks of Cloudera in the United States and in jurisdictions throughout the world. All other company and product names may be trade names or trademarks of their respective owners.

Press Contacts

North America
Hope Nicora
Bhava Communications for Cloudera
[email protected]bhavacom.com
+1-510-984-1527

Europe
Richard Botley
Ketchum for Cloudera
[email protected]
+44 (0) 20 7611 3788

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

IoT & Smart Cities Stories
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...