MapR Introduces New Stream Processing Quick Start Solution
SAN JOSE, Calif., March 30 — MapR Technologies, Inc., provider of the industry’s only Converged Data Platform, today announced at Strata + Hadoop World the immediate availability of a new Stream Processing Quick Start Solution powered by the MapR Converged Data Platform. This solution helps customers take advantage of the high-volume event processing capabilities of MapR Streams and the enterprise-grade reliability of the MapR Platform to create an ideal data pipeline for the new generation of Internet of Things applications.
The Stream Processing Quick Start Solution is designed to accelerate the technological, educational and operational capabilities of customers who wish to leverage MapR advancements in event streaming and real-time analytics. The solution can be tailored to specific customer requirements with the help of world-class data scientists and engineers from MapR Professional Services.
“Stream processing is rapidly growing in importance for real-time applications/analytics, and Internet of Things applications,” said Dave Jespersen, vice president of worldwide services, MapR Technologies. “MapR Streams will serve as a key part of the data pipeline for ingesting, persisting and analyzing event streams. Quick Start Solutions provide not just a product/technology proposition, but also one that educates and creates operational competency around a key technology for a new, exciting generation of big and fast data applications.”
The Internet of Things (IoT) places a special emphasis on streaming data as an important part of the data pipeline. IoT applications are helping retailers better understand the customer experience; manufacturers are profiting from preventative maintenance, asset monitoring and yield optimizations; telecom providers are improving customer satisfaction and reducing customer churn by responding to hot spots in real time.
The integration of MapR Streams in the MapR Converged Data Platform enables organizations in any industry to continuously collect, analyze and act on streaming data. The MapR Stream Processing Quick Start Solution enables businesses to handle massive data flows and long-term persistence while providing enterprise protections such as high availability (HA), disaster recovery (DR) and security.
Details of New Stream Processing Quick Start Solution
The new Stream Processing Quick Start Solution includes a one-year subscription of six nodes of MapR that can easily be expanded based on the solution requirements; free one year support for the Apache Spark stack; six weeks of big data and streams expertise with MapR professional services; and three MapR Hadoop certification credits. Additional details on the Stream Processing Quick Start Solution are available here.
The new Stream Processing Quick Start Solution is available today from MapR worldwide.
MapR will demonstrate its new Quick Start Solution at booth #1009 at Strata + Hadoop World West taking place this week at the San Jose Convention Center.
About MapR Technologies
MapR provides the industry’s only Converged Data Platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage, enabling customers to harness the enormous power of their data. Organizations with the most demanding production needs, including sub-second response for fraud prevention, secure and highly available data-driven insights for better healthcare, petabyte analysis for threat detection, and integrated operational and analytic processing for improved customer experiences, run on MapR. A majority of customers achieves payback in fewer than 12 months and realizes greater than 5X ROI. MapR ensures customer success through world-class professional services and with free on-demand training that over 50,000 developers, data analysts and administrators have used to close the big data skills gap. Amazon, Cisco, Google, HPE, Microsoft, SAP, and Teradata are part of the worldwide MapR partner ecosystem. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures. Connect with MapR on LinkedIn, and Twitter.
Source: MapR Technologies