MapR 5.0 Makes Its Debut at Hadoop Summit
"Agility should be a key requirement in any big data governance strategy," said Chris Twogood, vice president of product and services marketing at Teradata, in a statement. "Teradata Loom avoids an IT bottleneck by providing Hadoop end users agile mechanisms to find, understand, prepare, secure, and manage data throughout its lifecycle. We see a similar opportunity for agility in the authorization features in 'Drill Views,' which empower analysts to quickly share specific elements of their data sets with other analysts." Version 5.0 of the MapR Distribution will be available in 30 days. MapR partners, including Centrify, Dataguise, Datameer, HP Security Voltage, Informatica, Protegrity, Syncsort, Talend, Teradata, Waterline Data and Zaloni, have embraced the new MapR Distribution version 5.0 to implement big data solutions. "These new data-centric features from MapR couldn't be more timely, as enterprises are leveraging Hadoop beyond batch analytics and driving new applications that drive up the consumption of personal and private data in Hadoop, but must do so in a protected and audit-able way," said Jeremy Stieglitz, vice president of products at Dataguise, in a statement. "In particular, MapR expanded security for authorization and auditing capabilities in 5.0 fits perfectly with Dataguise support for sensitive data discovery, encryption, masking, and monitoring.""The MapR 5.0 innovations for field-level access control and auditing are great complements to our secure data views and auditing capabilities," Brust said. "With our other governance features, including data lineage, impact analysis and data profiling, along with our Native Hadoop architecture, the Datameer and MapR combination has never been stronger." Meanwhile, MapR also announced a new software module to accelerate the provisioning and deployment of big data solutions. The new MapR Auto-Provisioning Templates apply software-defined concepts that will enable organizations to quickly deploy a cluster, Norris said. Moreover, the MapR Auto-Provisioning Templates provide organizations with flexibility to deploy purpose-built big data solutions on their hardware infrastructure of choice, whether it be directly on hardware servers from a variety of vendors, a virtualized private cloud or a public cloud provider. The Auto-Provisioning Templates provide the simplicity of appliances, yet also support the hardware diversity that production Hadoop clusters typically require. The Auto-Provisioning Templates also let customers expand their deployment at increments they define and need, rather than at the homogeneous "stair-step" increments that a rack-based appliance requires, Norris said. "The MapR Auto-Provisioning Templates leverage software-defined concepts to create a new kind of appliance for modern, real-time Hadoop applications," Gadre said. "Customers are asking for software-defined abilities to address many of their business and IT objectives. We've simplified that process and enable organizations to choose the components they want to meet their big data infrastructure needs." Auto-Provisioning Templates define the software, network and hardware attributes of a single node, as well as support diverse definitions required across many nodes. Auto-Provisioning Templates support the deployment of data lakes, data exploration and operational analytics. Users deploy MapR Auto-Provisioning Templates via the MapR Installer.
Andrew Brust, senior director of technical product marketing and evangelism at Datameer, said the new MapR security and data governance capabilities align well with Datameer's own governance capabilities, announced just last week.