If you listen in on what people are talking about at Big Data conferences, chances are you’ll hear a lot of buzz around Hadoop and Spark. People often think of Hadoop and Apache Spark as key tools for tackling a wide range of big data challenges, but they assume that

To get value out of today’s big and fast data, organizations must evolve beyond traditional analytic cycles that are heavy with data transformation and schema management. The Hadoop revolution is about merging business analytics and production operations to create the ‘as-it-happens’ business. It’s not a matter of running a few

MapR, one of the front-runners of Apache Hadoop Technology for Big Data Deployments, has revealed intentions of going public by late 2015. ‘We feel like we’re still on track for something late in 2015. We’re having a fantastic [fourth] quarter. Enterprise software tends to be very backend-loaded, meaning that we

2014 was a fantastic year for data science. Funding rounds were huge, the mergers and acquistions space was active all year, data science skills proved to be the hottest of the year. But will data science continue to flourish in 2015? We asked four industry experts- working in AI, big

MapR Technologies, Inc., the enterprise software provider that specialises in distribution for Apache™ Hadoop®, has come into an alliance with business analytics software innovator SAS, to combine powerful SAS analytics with production-ready Hadoop. MapR and SAS intend to carry out Hadoop integration, provide support of joint customers, and tap future

Apache Hadoop Technology pioneer for Big Data Deployments, MapR, revealed that in November this year, the number of enterprises subscribing to MapR has crossed 700. The growth is not limited to new customers alone, as the outfit saw a dollar-based net expansion rate of more than 200% for the quarter

When it comes to this years big data funding stories, the first thing that probably comes to your mind is Intel’s $740 million investment in Cloudera, or MapR’s $110 million financing round led by Google Capital. You’ll also probably recall funding rounds of companies like Hotonworks, MongoDB, and DataStax too.

Ushering in the next-generation ANSI SQL to Hadoop, MapR has added a developer pre-release of Apache Drill, coined Drill 0.5, to its latest release. MapR, one of the leaders in enterprise Hadoop technology for big data deployments, has made available the 4.0.1 version of the MapR distribution including Apache Drill

Enterprise Hadoop vendors MapR just demonstrated that their data platform is capable of ingesting over 100 million data points a second. These impressive performance results were unveiled at the sold-out Tableau Conference in Washington, using OpenTSDB on the MapR Distribution including the in-Hadoop NoSQL database, MapR-DB. Using only four nodes

Cisco predicts that by 2020, we’ll have 50 billion connected devices. To put the in perspective, if current population projections are accurate, that’s between six seven connected devices for every person on the planet. Of course, this many data-generating devices will be a treasure-trove of opportunity- but also a complete