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Converged Platform or Federated Data Plane? The Debate Heats Up

Sep 29, 2016 |

“Bring the compute to the data.” That was Hadoop’s calling card and solution for the problem of moving big data. However, the rise of cloud repositories and streaming technologies is causing Hadoop distributors to question whether that architecture is the best one going forward. Read more…

Can Hadoop Be Simple Again?

Sep 19, 2016 |

In the beginning, Hadoop had two pieces: HDFS and MapReduce. Developers knew how to use them to build applications, and IT teams knew what it took to operate them. Fast forward to 2016, and developers have a cornucopia of technologies and frameworks at their disposal. Read more…

Unraveling Hadoop and Spark Performance Mysteries

Sep 13, 2016 |

What do you do when your Spark or Hive job runs like molasses? If you’re like most end-users who lack in-depth technical skills, the answer is “not much.” Now a startup named Unravel Data is working to show you what’s actually going on in the cluster, and provide some configuration recommendations and automatic fixes as well. Read more…

Machine Learning: No Longer the ‘Fine China’ of Analytics, HPE Says

Aug 30, 2016 |

Machine learning has become a core component of companies’ analytic initiatives and is no longer the “fine china” only brought out for special occasions, according to a manager with Hewlett-Packard Enterprise, which today announced that its Vertica analytics database now runs popular classes of machine learning algorithms. Read more…

How GPU-Powered Analytics Improves Mail Delivery for USPS

Jul 25, 2016 |

When the United States Postal Service (USPS) set out to buy a system that would allow it to track the location of employees, vehicles, and individual pieces of mail in real time, an in-memory relational database was its first choice. Read more…

News In Brief

AWS Redshift Feels the Heat

Sep 22, 2016 |

Amazon Web Service’s Redshift data warehouse service is taking a beating this week, with database analytics competitors Oracle Corp. and Cloudera claiming their platforms run much faster for less money. Read more…

Flink Distro Now Available from data Artisans

Sep 21, 2016 |

The company behind Apache Flink, data Artisans, today launched the first commercial distribution of the upstart stream processing engine. The new software product, called the dA Platform, is identical to the open source Flink project at this time, and comes with 24/7 technical support from the team that develops Flink. Read more…

Actian Reasserts Performance Claims With VectorH

Jun 29, 2016 |

The latest version of SQL-on-Hadoop specialist Actian Corp.’s Vector database tightens integration with Apache Spark to widen access to new data sources while adding enterprise features required to move Hadoop-based analytics to production. Read more…

Cognitive Platform Sharpens Focus on Unstructured Data

Jun 21, 2016 |

Big data platform vendors are increasingly focusing on churning through unstructured data, especially for text, audio and even security applications like insider threat analysis. Among the companies emerging in this industry segment is Digital Reasoning, a well-connected cognitive computing company that has helped the U.S. Read more…

MapR Unveils Spark-Only Distro

Jun 6, 2016 |

Big data practitioners who want to get started quickly with Apache Spark but don’t want to mess around with Hadoop may be interested in new software that MapR Technologies announced today. Read more…

This Just In

Cloudera and MongoDB Join Forces

Apr 29, 2014 |Cloudera, the leader in enterprise analytic data management powered by Apache Hadoop, and MongoDB, the database for modern applications, today announced a strategic partnership that will transform how organizations approach big data. Read more…

Saint Peter’s University Becomes a Member of Cloudera’s Academic Partnership

Apr 25, 2014 |Saint Peter’s University today announced its official membership in Cloudera’s Academic Partnership. Cloudera is the leader in analytic big data management powered by Apache Hadoop, an essential tool for working with big data. The agreement will provide the master’s program in data science with industry-leading resources to help streamline and accelerate the adoption of Hadoop. Cloudera has developed the Academic Partnership program to help bridge the big data talent gap and to aid in the development of the next generation of data scientists. Read more…

Diyotta DI Suite Now Cloudera Enterprise 5 Certified

Apr 18, 2014 |Diyotta, a leading big data integration company, today announced that their Big Data Integration platform, Diyotta DI Suite is now certified on Cloudera Enterprise 5, Cloudera's next generation enterprise analytic platform powered by Apache Hadoop. Diyotta's engineering team had been working with Cloudera's partner engineering team to show the true commitment to the company's technology innovation by certifying on Cloudera Enterprise 5 before it was GA. Read more…

Cloudera Introduces Big Data Training Course

Apr 16, 2014 |Cloudera, the leader in enterprise analytic data management powered by Apache Hadoop, today announced the industry's first hands-on Big Data training course that teaches developers to build end-to-end applications for a Hadoop-based enterprise data hub (EDH). The new four-day course, called Designing and Building Big Data Applications, prepares data professionals to use an EDH's full capabilities to build custom, converged applications that enable their organizations to achieve greater value from data and solve real-world problems. Read more…

Jaspersoft Teams with Cloudera for Hadoop Reporting and Analytics

Apr 15, 2014 |Jaspersoft, the Intelligence Inside applications and business processes, today announced product integration with Cloudera, the leader in enterprise analytic data management powered by Apache Hadoop, to extend the company's leadership in reporting and analytics for Big Data. With this integration, Jaspersoft becomes one of the first business intelligence (BI) providers to support both Cloudera 5 Enterprise Data Hub and Cloudera Impala for Hadoop analytics. Read more…