Birst to Help Midsize Enterprises Wrangle Hadoop, Big Data
Birst, a software as a service business intelligence and analytics provider, has announced support for Hadoop to help enterprises, particularly midsize organizations, wrangle big data.With more and more organizations looking at Apache Hadoop to wrangle big data, the need for tools to make Hadoop more palatable for business users has arisen and Birst has burst on the scene to help. Birst, a business analytics software provider, has announced support for Apache Hadoop, combining the massive scale of Hadoop datasets with Birsts multi-dimensional database. Birst is focused on making Hadoop more business-friendly, particularly for midsize organizations that have fewer resources than large enterprises.
¢ Seamlessly elect between real-time access to Hadoop data or integrating Hadoop data with other data sources, including SAP, Salesforce, operational and financial information into automatically created multi-dimensional data sets.
¢ Tap into the power of massive scale from petabytes of data using Hadoops distributed file system to report on extremely large data volumes.
¢ Deliver insights to a broad set of individuals in a readily consumable manner via dashboards, reports, ad-hoc queries and mobile deliveryall of which can be modified quickly and easily. Information managers must fundamentally rethink their approach to data by planning for all the dimensions of information management," Mark Beyer, research vice president at Gartner, said in a statement. "The business's demand for access to the vast resources of big data gives information managers an opportunity to alter the way the enterprise uses information. Birst support for Hadoop is included in the Birst business analytics platform at no additional charge. Hadoop support will be generally available in 30 days. Apache Hadoop serves as a foundation of cloud computing and is at the epicenter of big data solutions, Apache Software Foundation officials said. Hadoop enables data-intensive distributed applications to work with thousands of nodes and exabytes of data. Hadoop also enables organizations to more efficiently and cost-effectively store, process, manage and analyze the growing volumes of data being created and collected every day. And it connects thousands of servers to process and analyze data at supercomputing speed. Apache Hadoop Vice President Arun Murthy, who used to run the nearly 50,000-node Hadoop configuration at Yahoo before leaving to co-found Hortonworks, said Hadoop 1.0 is a major step for Hadoop, but there is still additional work to be done to make Hadoop even more enterprise-friendly. Some of this work is being done under the Hadoop MapReduce next-generation effort, he said. Results from this effort are expected to land in the next major release of Hadoop, which is due sometime in the middle of 2012, Murthy said.