MapR Technologies, Inc., provider of the Converged Data Platform, announced at Kafka Summit 2016 it is now offering stream processing training via MapR Academy’s free On-Demand Training program. The new training enables Apache Kafka developers to extend their real-time analytics and Internet of Things (IoT) applications.
MapR Announces Free Stream Processing On-Demand Training for Real-time Analytics and IoT Applications
ODPi Publishes First Runtime Specification and Test Suite To Simplify and Expedite Development of Data-Driven Applications
ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, announced the first release of the ODPi Runtime Specification and test suite to ensure applications will work across multiple Apache Hadoop® distributions.
Paxata Continues to Redefine the Traditional Data-to-Information Pipeline with New Spring ‘16 Release
Paxata, provider of the Adaptive Data Preparation™ platform for the enterprise, announced the availability of its Spring ’16 product release. Paxata’s latest release bridges the gap between analysts and IT with new intuitive capabilities, providing connected information to every person in the enterprise without compromising on security, scale, and cost efficiency.
Aerospike, the high-performance NoSQL database company recognized for “speed at scale” leadership and as the NoSQL leader in the digital media and ad tech industries, announced that Manage.com Group Inc. (Manage) has selected Aerospike to power its innovative demand-side platform for mobile advertising. Manage chose Aerospike to support its goals for technology evolution and business growth.
IBM (NYSE: IBM) is making it easier and faster for organizations to access and analyze data in-place on the IBM z Systems mainframe with the new z/OS Platform for Apache Spark. This is creating new opportunities for data scientists and developers to apply advanced analytics to the system’s rich data sets for real-time insights.
In this special guest feature, Ashley Stirrup, CMO at Talend, provides a useful list of five ways to get more out of Hadoop as organizations increasingly look to speed time to market, anticipate and respond to customers’ needs, and introduce new products and services.
Dataguise, a technology leader in secure business execution, announced Dataguise DgSecure for the detection, protection and monitoring of sensitive data across Amazon Simple Storage Service (Amazon S3) via the Amazon Elastic MapReduce (Amazon EMR) platform.
I recently caught up with Nenshad Bardoliwalla, Co-founder and Chief Product Officer, at Paxata, to discuss how few question the potential of Hadoop for distributed processing and storage of very large data sets, but many have been frustrated by a steep learning curve and difficulty in achieving business goals.
I was very pleased to attend the GPU Technology Conference 2016 as the guest of host company NVIDIA on April 4-7 in Silicon Valley. I was impressed enough with the experience that I wanted to write this Field Report to give readers an in-depth perspective for what I saw.
The video presentation below discusses how big data engines like Apache Spark are being deployed to help detect and put an end to ad fraudulence. Spark allows for enterprises across various sectors, including security firms, to extract data in real time to catch patterns and help halt fraudulent activities and breaches earlier.