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Leverage Big Data Cross-Industry Panel: Video Now Available

Mar 27, 2015 |

  Big data means different things to different people. To some, massive data is a challenge to be overcome, while for others it’s an opportunity to seize. At Tabor Communications’ recent Leverage Big Data event, experts from different industries came together to compare their big data notes. As a professor of astrophysics and computational science at George Mason University, Kirk Borne tracks things moving through the universe over space and time. But that broad description could refer to just about Read more…

Beyond the 3 Vs: Where Is Big Data Now?

Mar 12, 2015 |

Once defined by the “three Vs” of volume, velocity, and variety, the term “big data” has overflowed the small buckets we gave it and taken on a life of its own. Today, big data refers not only to the ongoing information explosion, but also an entire ecosystem of new technologies, as well as a unique way of thinking about data itself. Here’s a quick recap of the short history of big data. The World Wide Web was just starting to Read more…

FPGA System Smokes Spark on Streaming Analytics

Mar 10, 2015 |

Technologists with decades of experience building field-programmable gate array (FPGA) systems for the federal government today unveiled a commercial FPGA offering it claims holds 100x performance advantage over Apache Spark for specific streaming analytic jobs. By all appearances, the Ryft One looks like just another general-purpose X86 Linux server. Indeed, the 1U device sports an Ubuntu OS and Intel processor, largely for purposes of familiarity. But as you dig beyond that generic façade and into its more exotic innards, you’ll Read more…

Taming Apache Storm for Real-Time Analytics

Mar 5, 2015 |

Apache Storm is gaining a foothold among organizations looking to do real-time analytics on streaming data. However, the difficulty in working with the distributed processing framework is proving to be a major hurdle to Storm adoption. Now, a company called Impetus says it’s simplifying development on Storm with a new product. Released as open source by Twitter several years ago, Apache Storm plays a key role as the real-time processing layer of the emerging big data technology stack. While the Read more…

Big Data So Easy a Caveman Could Do It?

Feb 26, 2015 |

Let’s face it: big data isn’t easy. If you’re building a big data application today, you’re up to your eyeballs in things like R and Java, MapReduce and Pig, and Storm and Kafka. There’s a reason data scientists are so hard to find that they’re compared to unicorns. But in the future, the big data application assembly process may be dumbed down to the point where, as the insurance commercial says, even a caveman could do it. That’s the approach Read more…

News In Brief

What Informatica’s Buyout Means to Big Data Integration

Apr 8, 2015 |

Yesterday’s news that Informatica has agreed to be bought out by private equity firms for $5.3 billion has stirred a frenzy of activity in the big data integration community. For those working at data integration startups, the news represented a death knell of sorts for “old style” ETL and the recognition that newer data integration technologies and techniques are here to stay. “Rest in Peace Old ETL” says Darren Cunningham, a former Informatica manager who now heads up product management Read more…

What Apple’s Purchase of FoundationDB Would Mean for NoSQL

Mar 30, 2015 |

Apple raised some eyebrows in the big data space last week when it was reported that it’s buying NoSQL database developer FoundationDB. For some, the move signaled the emergence of a new group of highly scalable NoSQL database vendors that could challenge the “Big 3″ of NoSQL, while for others it was a warning sign for turbulence ahead. FoundationDB is a key value store-based NoSQL database designed to provide extreme scalability without giving up core ACID properties. Modeled after the Read more…

Couchbase Breaks Up NoSQL Database Functions for Scalability

Mar 23, 2015 |

Couchbase today unveiled a plan to boost the scalability and performance of its NoSQL database by allowing customers to separate key database functions and run them on dedicated servers. The multi-dimensional scaling capability that Couchbase plans to ship later this year with Couchbase Server 4.0 will allow customers to separate three key workloads that the database performs—indexing, queries, and reads/writes—and thereby get around a built-in limitation in the database’s scale-out architecture. “Multi-dimensional scaling basically allows you to separate these tasks Read more…

Cloudera Brings Kafka Under Its ‘Data Hub’ Wing

Feb 18, 2015 |

Cloudera is making Apache Kafka a supported part of its Hadoop distribution, the company announced today. While Kafka still doesn’t run on Hadoop, Cloudera says the changes it is instituting will help CDH customers build real-time analytics applications that span Hadoop and Kafka. Kafka is an open source message broker that’s designed to handle massive flows of streaming, real-time data, such as log data. The software was originally developed at LinkedIn, which uses it to process hundreds of millions of Read more…

MapR Delivers Bi-Directional Replication with Distro Refresh

Feb 18, 2015 |

A new release of the MapR Distribution including Hadoop unveiled today will enable companies to perform real-time, bi-directional data replication between Hadoop clusters that are thousands of miles apart. The new table replication feature was added to MapR-DB, the NoSQL database included with the high-end edition of MapR’s commercial Hadoop offering. As Hadoop adoption grows, companies are finding it increasingly difficult to ensure that they’re acting on the latest, freshest data. This fast-data problem is particularly evident in organizations that Read more…

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