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Big Data Is Still Hard. Here’s Why
We're over a decade into the big data era that emerged from the tectonic collision of mobile, Web 2.0, and cloud forces. Bolstered by progress in machine learning, we stand at the cusp of a new AI era that promises even Read more…
Hitting the Reset Button on Hadoop
Hadoop has seen better days. The recent struggles of Cloudera and MapR – the two remaining independent distributors of Hadoop software -- are proof of that. After years of failing to meet expectations, some customers a Read more…
MapR Says It’s Close to Deal to Sell Company
MapR, which recently warned that it may have to lay off more than 120 people after funding fell through following an unexpectedly poor first quarter, has signed a letter of intent to sell the company. The potential inqui Read more…
Great Cloud Migration Opens Data Opportunities
We're in the midst of a massive cloud migration at the moment, as companies look to take advantage of the scalability and simplicity of storing and processing data in the cloud. But connecting the dots between on-premise Read more…
Hadoop Struggles and BI Deals: What’s Going On?
The news hasn't been good in the Hadoop world over the past two weeks, with MapR and Cloudera both revealing themselves to be in bad straits. Meanwhile, the market for BI tools suddenly surged, with Tableau, Looker, and Read more…
Cloudera CEO Reilly to Retire After Poor 1Q Results
Following the disclosure of poor financial results, Cloudera yesterday announced that CEO Tom Reilly is leaving the company to retire effective July 31 and will be replaced by chairman Martin Cole, on an interim basis. C Read more…
After Funding Falls Through, MapR Seeks a Buyer to Avoid Shut Down
MapR Technologies, once one of the major distributors of Hadoop software, failed to secure additional outside funding after an extremely poor first quarter and now must take quick action – including possibly selling th Read more…
Kubeflow Emerges for ML Workflow Automation
Many data scientists today find it burdensome to manually execute all of the steps in a machine learning workflow. Moving and transforming data, training models, then promoting them into production – all of it requires Read more…
What’s Up with 2019? Big Data Predictions
As 2018 rolls to a close, it's time to turn our attention to 2019 and the possibility that it holds. What will happen next year is anybody's guess, which is half the fun in assembling (and hopefully reading) predictions Read more…
MapR Targets Cloudera-Hortonworks Customers with ‘Clarity’ Release
MapR Technologies went on the offensive today against its Hadoop rivals Hortonworks and Cloudera with the launch of a "Clarity" release of its MapR Converged Data Platform, as well as a new offer for a free big data asse Read more…
This Just In
Feb 11, 2014 |MapR Technologies, Inc., the leader in Apache Hadoop technology for Big Data deployments, today announced at the O’Reilly Strata Conference: Making Data Work, the latest MapR Distribution including Hadoop 2.2 with YARN. YARN delivers next-generation resource management and is taken to the next level within a MapR cluster by combining flexible resource management with the reliability and real-time capability of MapR’s next-generation data platform. Read more…
Feb 5, 2014 |H2O, the open source in-memory machine learning and predictive analytics company for big data, today announced that its flagship H2O product is now certified on MapR Technologies Distribution for Apache Hadoop. Companies that deploy MapR can seamlessly run open source H2O advanced algorithms on data stored in Hadoop clusters without the need for data transfers. By combining the power of H2O’s in-memory prediction engine with a unified platform in MapR, users can get more value from their existing data and easily create models using familiar tools such as R, Python, Scala and Java. Read more…
Jan 29, 2014 |MapR Technologies, Inc., the leader in Hadoop technology for Big Data deployments, is a winner in the Most Innovative Use of Big Data category of the 2013-2014 Cloud Awards program. Read more…
Jan 16, 2014 |MapR Technologies’ CEO and Cofounder, John Schroeder predicts that several major trends will occur in 2014 that will impact how companies store, process, analyze and share Big Data. Read more…
Jan 10, 2014 |XA Secure, a leading security solutions company focused on big data, announced today that it has formalized agreements with MapR to enter into its advantage partner. The advantage partner program within MapR enables partners to develop complimentary products over the MapR Hadoop platform, providing incremental value to customers who want or are using MapR's Hadoop distribution. Read more…
Dec 17, 2013 |Splice Machine, provider of the only real-time transactional SQL-on-Hadoop database designed for Big Data applications, today announced a partnership with MapR Technologies, the leader in Hadoop technology for Big Data deployments. Read more…
Nov 25, 2013 |MapR Technologies, Inc., the leader in Hadoop technology for Big Data deployments, today announced it will present sessions about Big Data use cases and showcase its distribution for Apache Hadoop at several events in December. Read more…
Nov 20, 2013 |MapR Technologies, Inc., the leader in Hadoop technology for Big Data deployments, today announced the appointment of Dan Atler as Chief Financial Officer. Atler brings over 20 years of executive leadership experience in public markets, mergers and acquisitions, and multinational operations, including managing three companies through successful IPOs. Read more…
Nov 5, 2013 |MapR Technologies, Inc., the Hadoop technology leader, today announced that Return Path, an email intelligence software company, is using the MapR Distribution for Apache Hadoop and benefiting from its enterprise-grade capabilities, reduced administrative costs and MapR’s expert technical support. Read more…
Oct 28, 2013 |MapR Technologies, Inc., the Hadoop technology leader, today announced at Strata Conference + Hadoop World 2013 comprehensive, native security authentication and authorization with the MapR Distribution for Apache Hadoop. Read more…
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