Cloudera, a prominent player in enterprise analytic data management powered by Apache Hadoop, today unveiled Cloudera Connect: Cloud, an expanded Cloudera Connect Partner Program to support deployment of Hadoop in public cloud environments. As Hadoop adoption evolves, so too do the requirements organizations have for big data solutions. The cloud is the future of the enterprise, and Cloudera and Hadoop are part of that future,” said Tom Reilly, chief executive officer at Cloudera. The Cloudera Connect Partner Program is designed to champion partner advancement and solution development for the Cloudera Enterprise ecosystem. Additionally, the company announced its new Cloudera Connect: Innovators program to help customers harness the latest innovations from the open source ecosystem. In this special guest feature, Sinan Baskan, Solutions Director, CTO Solutions at MarkLogic, discusses why your database must be operational and transactional, but probably isn’t. A new report by Forrester Researcha€™s big data analysts says that adopting Hadoop is a€?mandatorya€? for any organization that wishes to do advanced analytics and get actionable insights on their data.Forrester estimates that between 60% and 73% of data that enterprises have access to goes unused for business intelligence and analytics. In March, Intel announced that the company would exit the big data analytics software market after investing resources and several years into development of its own Apache Hadoop* distribution. Intel’s commitment to data analytics and big data solutions for the enterprise has been—and continues to be—strong and unwavering. Looking down the road, I find it easy to see how the partnership with Cloudera helps move big data forward and into the mainstream of enterprise IT.
An investment in big data and infrastructure is a great move for the industry—and for Intel.
The partnership will help Cloudera deepen its customer base outside of North America, and the large cash infusion helps it remain independent and competitive in the constantly changing vendor landscape. Together, Intel and Cloudera will continue to drive innovation through open-source technologies.
Cloudera also will work closely with Intel to make sure its products make the best use of Intel data center technologies.
The Intel-Cloudera solution roadmap is wide open with the potential to make it easier for enterprise IT to derive value from business data. Revolution Analytics on Tuesday lined up a Hadoop partnership with Hortonworks as its analytics platform increasingly rides on top of big data projects. At the O'Reilly Strata Conference, Revolution Analytics, a startup with about 55 employees, said it has lined up its fourth Hadoop distribution partner.
David Smith, data scientist and vice president of marketing and community at Revolution Analytics, said the company has supported Hadoop connections for about 18 months. Under the Hortonworks partnership, Revolution Analytics will develop so-called "in-Hadoop" predictive analytics to avoid importing and exporting data from Hadoop. The previous week had seen the Strata+Hadoop WorldA event, which grew out of Big Data pioneer Cloudera Inc.a€™s conference.
Amazon Web Services LLC (AWS) and Google were not there, but AWS was the elephant in the room in many of the discussions. Another huge advantage the cloud providers have in the Big Data market is Hadoopa€™s complexity. The alternative is to build these systems on an IaaS Big Data platform and let the providera€™s expert team worry about the infrastructure. The Hadoop vendors and open source community need to move faster to mature the infrastructure, Furrier said. The only two pure-play Big Data players who hit what Vellante called the financial a€?leaderboarda€? are Palantir Technologies Inc.

The usual pattern of net technology markets is startups pioneer the technologies, and when the market gets large enough big players move in and start buying those startups for their technology and skill sets.
About Latest Posts Bert LatamoreBert Latamore is a freelance writer covering the intersection of IT and business for SiliconANGLE. SIGN UP FOR THE SiliconANGLE NEWSLETTER!Join our mailing list to receive the latest news and updates from our team. Cloudera has recently issued a series of separate strategic partnership announcements with leading cloud solution providers who have already joined the program, including: Savvis (a CenturyLink company), SoftLayer (an IBM company), T-Systems, and Verizon Cloud. Enterprises continue to embrace the flexibility and accessibility of the cloud for mission-critical applications, and companies are now looking to combine the benefits of the cloud with the data processing and analytic power of the Apache Hadoop platform, which traditionally has been deployed on localized hardware. The program’s charter partner, DataBricks, which was spun out of AMPLab at the University of California at Berkeley, is the company behind the popular Apache Spark framework. What may have come as an even bigger surprise was the substantial equity ($740 million) and intellectual property investment in Cloudera, provider of the most popular Hadoop* software version on the market and a competitor with Intel’s distribution.
In addition to Intel’s Hadoop distribution, the company has invested heavily in high-performing infrastructure that can be optimized specifically for big data environments, high-performance computing (HPC), and rack-scale architecture. The combination of Cloudera’s leading big data software framework and Intel’s high-performing infrastructure will provide a flexible, world-class, enterprise-ready platform. A Forbes* article reports huge growth in the big data market, including an IDC forecast of a five-year compound annual growth rate (CAGR) of 27 percent, roughly six times faster than the total IT market. Intel’s distribution of Hadoop software had been optimized to take advantage of security and performance features in our hardware. For example, testing has shown that Intel architecture can significantly boost big data processing speed for improved performance.
By forging a host of Hadoop partnerships, Revolution Analytics is aiming to be a front-end platform for the big data wave. Revolution Analytics, which provides data modeling via the open source R project, is also partnered with Cloudera, IBM's BigInsights distribution and Intel's big data platform.
The company has more than 200 customers and with new prospects "at least half of them have some kind of Hadoop implementation," said Smith.
Under the arrangement, Hortonworks customers can use Revolution R Enterprise ScaleR on a server, via streaming data, an import or their own algorithms. To sign up for more newsletters or to manage your account, visit the Newsletter Subscription Center. Are the big vendors, and in particular the cloud service providers, taking over Hadoop infrastructure?
Vellante and Furrier consider the AWS Big Data platform to be too immature for enterprise Big Data use at the moment, but its momentum is tremendous. Building a Hadoop stack involves corralling 15-20 different open source components that are not designed to work together and do not share a common set of APIs. He posed a typical use case of a customer who needs to capture two terabytes of data daily, hold one week of data in the active database constantly and then archive the data for historical analysis. CIOs and business leaders today for the most part recognize that cloud provider security is often stronger than what they can build in-house given their limited resources.
He is a frequent contributor to CrowdChats focused on theCUBE coverage of major IT industry events and site editor at Cloudera’s richly diverse partner ecosystem is helping to provide the innovation and variety that our customers require to solve all of their data challenges. With Apache Spark, Cloudera users can now perform rapid, resilient processing of in-memory datasets stored in Hadoop, as well as general data processing.

Developers across industries will have a powerful, standard, and flexible platform on which to build their big data solutions.
Intel data center infrastructure will provide an environment for development and benchmarking at scale.
Will most Big Data production systems be built on infrastructure-as-a-service (IaaS) platforms and use software-as-a-service (SaaS) analysis rather than running in company data centers? Not surprisingly, major vendors had large presences on the show floors of both, as well as on theCUBE. AWS’s economies of scale mean that its costs are dropping faster than those of even the largest IT shops. The client wants streaming analysis as well as several standard daily and weekly reports, and also wants to make an analysis package available directly to business users and internal analysts for ad hoc queries.
They consistently say that their clients are moving from trials to production systems, with some already in production with multiple applications.
He has 35 yearsa€™ experience covering the IT industry including four with Gartner, five with Meta Group, and eight with Wikibon. Instead, therea€™s a cluster of vendors who each are competent, but have different strengths. In addition, Intel and Cloudera will join forces on foundational Hadoop technologies to move the software framework forward and encourage open-source developers to innovate in and on top of the Hadoop platform. Vellante asked how long captive IT can compete before the cost differential alone becomes so compelling that everything moves to the cloud. And those components are constantly rapidly evolving or are replaced by something brand new. On Azure, Ramakrishnan said, this is simple to set up, and the customer is freed from technical complexity to focus on business issues. He lives in the Virginia Blue Ridge Mountains with his wife, Moire, and their dog, cat and macaw. Therea€™s a second tier of vendors who are compelling in their own right too.The top tier includes Cloudera, Hortonworks and MapR. They have largely moved beyond the stage of evangelizing for Big Data and today go in to discuss specific projects with business and IT leaders who recognize the value of the technology.
IBM and Pivotal round out Forrestera€™s picks as the top five vendors for distributions of Hadoop software.
Today it is hardly mentioned, and a dozen new choices, many supporting SQL, have taken its place.
All of these vendors focus their software on key enterprise features such as security, scale, integration, governance and performance, Forrester says. Management is still immature, and Hadoop environments often suffer from run-away cluster syndrome. They can be deployed on customersa€™ premises, in a private cloud or in a public cloud, but customers manage the software.
Forrestera€™s Wave report did not evaluate cloud-based Hadoop distributions like Amazon Web Servicea€™s Elastic MapReduce, or Microsoft Azurea€™s HDInsight, because those are public-cloud only based products that customers can not run on their own hardware.

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