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Hadoop at Strata: Not Exactly ‘Failure,’ But It Is Complicated

Mar 20, 2017 |

Has Hadoop failed to deliver the goods? That was a question on the minds of Strata + Hadoop World attendees last week, with opinions expressed both pro and con. Regardless of your stance on that question, it’s clear that the center of gravity has moved beyond the yellow elephant. Read more…

5 Hadoop Trends to Watch in 2017

Jan 6, 2017 |

Hadoop is synonymous with big data, providing both storage and processing resources for large and disparate data sources—not to mention a platform for third-party software vendors to build upon. Where will the distributed computing system go in 2017? Read more…

Big Data Speaks: 10 Industry Predictions for 2017

Dec 22, 2016 |

What will happen in big data and advanced analytics next year? Nobody really knows. While crystal balls are generally unreliable indicators of future events, it’s never stopped us from trying to see into the future anyway. Read more…

2016: A Big Data Year in Review

Dec 19, 2016 |

With another year almost in the books, and with 2017 looming just over the horizon, now is a good time to take stock of what happened in the big data analytics space over the previous twelve months, to assess where we’ve come from and what direction we may go. Read more…

Big Performance Gains Seen Across SQL-on-Hadoop Engines

Oct 18, 2016 |

You can’t really go wrong these days when it comes to picking a SQL-on-Hadoop engine. As long as you stick to the mainstream open source products like Hive, Impala, Spark SQL, and Presto, your SQL queries are likely running 2-4x faster than they did earlier this year, without changing your queries or buying more hardware. Read more…

News In Brief

MapR Extends Its Platform to the Edge

Mar 14, 2017 |

MapR Technologies today unveiled MapR Edge, an extension of its converged data platform that lets customers install MapR nodes practically anywhere they want.

The new offering runs on small portable PCs like the Intel NUC (pictured above), and delivers the full breadth of MapR’s capabilities–including Hadoop, NoSQL, and data streaming functionality—anywhere customers want, from autonomous cars driving rural highways to wellheads in the oil field. Read more…

Arcadia Upgrades Visual Analytics Platform

Mar 10, 2017 |

The latest version of Arcadia Data’s enterprise platform sharpens the visual analytics software vendor’s focus on generating data-driven applications with the long-term goal of making Hadoop and data lakes more accessible. Read more…

Data Ops Upgrade Targets App Performance

Mar 8, 2017 |The field of data operations is undergoing a shift toward automated tools designed to boost application performance and, with it, productivity, as data sets grow. With that in mind, "data ops" startup Unravel Data this week unveiled the latest version of its application performance management platform that automates data operations tasks ranging from problem discovery to root-cause analysis and resolution. Read more…

Surveys Find Cloud Surge, Mixed Data

Dec 14, 2016 |

A steady shift to the cloud and continuing momentum for business intelligence workloads highlight an annual industry survey aimed at gauging the maturity of big data technology.

Separately, another big data assessment of Hadoop users released this week found that the data sources and volume required for expanding database projects combine a mix of traditional and emerging sources such as data-gathering sensors. Read more…

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. Read more…

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. Read more…

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. Read more…

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. Read more…

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. Read more…