A few weeks ago we announced Bedrock 4.0, another milestone towards realizing our vision of the Intelligent Enterprise Data Lake. Our customers' and partners' feedback and requests continue to drive us to improve our Bedrock Integrated Data Management Platform in ways that truly excite us about the future, and with this latest release it's no different - our customers and partners spoke, and we delivered.A common request we have received from customers has been to extend Bedrock into the cloud. After a number of successful customer implementations, with Bedrock 4.0 we have done exactly that. By extending data management to the cloud, we have created a fluid platform that makes it possible to ingest, organize, enrich, govern and extract data in such a way that the boundaries between data stored in systems running on premise and data in the cloud are virtually eliminated.
We feel confident that Bedrock 4.0 is a testament to the future of Big Data, and a sure sign that we are headed in the right direction. A few notable features of Bedrock 4.0 include:
Cloud storage support – ability to monitor, ingest and organize files from Amazon S3 storage buckets. Files on S3 will be cataloged and available in the Bedrock inventory dashboard.
Transient cluster support – ability to execute MapReduce actions on Amazon EMR cluster on an as-needed basis to make efficient use of the compute resources.
Hosted data lakes - petabyte-scale, Bedrock-managed, Hadoop-based data lakes now instantly available in the Altiscale Data Cloud.
We’ll be talking about 2016 predictions for the Big Data industry with Mark van Rajamen during our upcoming webinar with Datafloq on Tuesday, November 17th. We hope you’ll join us as we take a look back and how the trends of 2015 played out, and what we expect to see looking ahead.
About the Author
Ben Sharma, is CEO and co-founder of Zaloni. He is a passionate technologist with experience in business development, solutions architecture, and service delivery of big data, analytics and enterprise infrastructure solutions. Having previously worked in management positions for NetApp, Fujitsu and others, Ben’s expertise ranges from business development to production deployment in a wide array of technologies including Hadoop, HBase, databases, virtualization and storage. Ben is the co-author of Java in Telecommunications and holds two patents. He received his MS in Computer Science from the University of Texas at Dallas.Follow on Twitter More Content by Ben Sharma