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Wanted: A Plug-In Architecture for Hadoop Development

May 6, 2015 |

Hadoop is hard. There’s just no way around that. Setting up and running a cluster is hard, and so is developing applications that make sense of, and create value from, big data. What Hadoop really needs now, says former Facebook engineer Jonathan Gray, is a plug-in architecture that hides technical complexity from developers. Silicon Valley is full of big data veterans like Gray who know their way around Hadoop and the myriad of projects and engines that make up the Read more…

Re-Platforming the Enterprise, Or Putting Data Back at the Center of the Data Center

Apr 27, 2015 |

The data center as we know it is going through tremendous changes. New technologies being deployed today represent a new stack that will form a strategic data center platform and will significantly reduce hardware and system costs, improve efficiency and productivity of IT resources, and drive flexible application and workload execution. This new stack will also transform an organization’s ability to respond quickly to changing business conditions, competitive threats, and customer opportunities. Before we go any further, let’s stop and Read more…

Hadoop’s Next Big Battle: Apache Versus ODP

Apr 24, 2015 |

  When the Open Data Platform launched in February, it effectively split the Hadoop community down the middle, with Hortonworks, Pivotal, and IBM throwing in with the ODP, and MapR and Cloudera keeping their chips on the Apache Software Foundation. The future of Hadoop is still very much an open question, and how the ODP-ASF split plays out could be a big factor in Hadoop’s future. Everybody seems to agree that the Apache Software Foundation has done an admirable job Read more…

Why Cybersecurity Needs Big Data Tech, Especially Hadoop

Apr 9, 2015 |

When cyber criminals really started ramping up their activities several years ago, security experts realized they needed bigger and better tools if they had any hope of slowing them down. In the wake of 2014, or “The Year of the Data Breach,” it’s clear those efforts largely failed, which is why so many security experts today are banking their hopes on Hadoop. Cybersecurity has become a big data problem because the size and complexity of the data has simply grown Read more…

Wanted: Intelligent Middleware That Simplifies Big Data Analytics

Mar 23, 2015 |

We’ve seen tremendous technological innovation in the data analytics space over the past 10 years. Platforms like Hadoop have emerged and machine learning techniques are going mainstream. But according respected leaders in the big data community, there’s still a sizable gap in the marketplace when it comes to intelligent middleware that can orchestrate and organizes how data flows, not just in Hadoop but the enterprise. Lars George was one of the first technologists to begin working with Hadoop in Europe Read more…

News In Brief

Will Poor Data Security Handicap Hadoop?

Feb 19, 2015 |

Companies around the world are looking to Hadoop as a platform on which to perform big data analytics. Every day, petabytes of data are flowing into Hadoop clusters with the aim of giving them a competitive edge. However, the overall lack of built-in security threatens to hamper the open source platform’s spread before it’s really gotten off the ground. If you set out to build a big data platform today, chances are good that data security would be one of Read more…

Hadoop and NoSQL Now Data Warehouse-Worthy: Gartner

Mar 13, 2014 |

Not long ago, the rules for what constituted a data warehouse were fairly well defined. The schema was fixed, you could say, and was based primarily on relational database technology designed to process structured data. My, how times have changed. Last week, Gartner for the first time accepted non-relational technologies–including those based on Hadoop and NoSQL–in its annual Magic Quadrant for Data Warehouses report.

Avoiding Split Brainedness in HA Hadoop Clusters

Mar 4, 2014 |

The US Patent and Trademark Office recently granted Zettaset a patent for the underlying technology in its Hadoop high availability that prevents a “split-brain” situation where multiple master nodes think they’re in control of the Hadoop cluster. It’s a feather in the cap for Zettaset, which has also innovated in the area of Hadoop security.

MapR’s Hadoop Offering the Strongest, Forrester Says

Feb 28, 2014 |

Among Hadoop distributors, MapR Technologies’ product offering is the strongest, Amazon Web Services has the biggest Hadoop market presence, and IBM and Pivotal Software have the best market strategy, according to a new Forrester Wave report released yesterday that slices and dices the Hadoop market and analyzes the various Hadoop product offerings and business strategies.

MapR Embraces Co-Existence with Hadoop Update

Feb 11, 2014 |

MapR Technologies today unveiled new products based on the Hadoop version 2 codebase that it says will allow customers to continue to run MapReduce version 1 applications while also reaping the rewards of a post-YARN Hadoop world. The company also announced the capability to run the HP Vertica columnar analytic database directly on its Hadoop stack.

This Just In

MapR Reveals Presentations on Big Data and Hadoop

Apr 30, 2014 |

MapR Technologies, Inc., provider of the top-ranked distribution for Apache Hadoop, announced it will present sessions in May about Hadoop, data warehouse design, machine learning and big data initiatives at events such as Data Summit, Informatica World, Cisco Live!, Chief Data Officer Summit, LA Machine Learning Meetup and Boulder/Denver Big Data Meetup.

MapR Adds Apache Spark Stack to Distribution for Hadoop

Apr 10, 2014 |

MapR Technologies, Inc., provider of the top-ranked distribution for Apache Hadoop, today announced a strategic partnership with Databricks and the addition of the complete Apache Spark technology stack to the MapR Distribution. The Spark in-memory processing framework provides speed, programming ease and real-time processing advantages.

WE-Ankor Signs Partnership Agreement with MapR

Apr 8, 2014 |

MapR Technologies, Inc., provider of the top-ranked distribution for Apache Hadoop, today announced that WE-Ankor, a highly regarded IT specialist based in Petach Tikva, has become a registered partner in Israel, which has a high potential and very promising market for big data and has started its first proof of concept project using the MapR Distribution for Hadoop.

MapR Expands Big Data Search with Elasticsearch

Apr 2, 2014 |

MapR Technologies, Inc., the top-ranked distribution for Apache Hadoop, and Elasticsearch Inc., the popular open source search and analytics solution, today announced the integration of Elasticsearch’s real-time search and analytics capability with the MapR Distribution for Apache Hadoop, enabling customers to search and store tremendous amounts of information in real time.

MapR Executives to Speak About Big Data, HBase, and Hadoop at Upcoming Conferences

Mar 25, 2014 |

MapR Technologies, Inc., the top-ranked distribution for Apache Hadoop, today announced it will present sessions about Big Data, HBase and Hadoop at upcoming events in April including: Big Data TechCon, Gartner Business Intelligence & Analytics Summit, and Apache Con.