WANdisco Announces Support for In-Memory Data Processing Technologies, Spark and Shark

WANdisco Announces Support for In-Memory Data Processing Technologies, Spark and Shark

SAN JOSE, CA — (Marketwired) — 06/26/13 — WANdisco (LSE: WAND), a provider of high-availability software for global enterprises to meet the challenges of Big Data and distributed software development, today announced a technology preview of the Spark application and its associated data warehousing system Shark available as an add-on to WANdisco Distro 3.6.Spark offers significant new computation model capabilities and performance enhancements compared to MapReduce by utilizing in-memory data

WANdisco and Zaloni Partner to Accelerate Adoption of Continuously Available Hadoop Cluster Deployments

WANdisco and Zaloni Partner to Accelerate Adoption of Continuously Available Hadoop Cluster Deployments

SAN RAMON, CA — (Marketwired) — 06/21/13 — WANdisco (LSE: WAND) and Zaloni announced a strategic partnership that enables enterprises to accelerate the adoption of Apache Hadoop for their mission-critical applications.Through this partnership, the companies will provide customers with a seamless approach to end-to-end enterprise Hadoop deployments. Together, the two organizations will provide customers with a full-lifecycle approach to Hadoop deployment, including use case discovery, develop

WANdisco and Data Tactics Partner to Provide Comprehensive Continuous Availability Hadoop Cluster Deployments

WANdisco and Data Tactics Partner to Provide Comprehensive Continuous Availability Hadoop Cluster Deployments

SAN RAMON, CA — (Marketwired) — 06/19/13 — WANdisco (LSE: WAND) and Data Tactics announced a strategic partnership that enables enterprises to speed the deployment of Apache Hadoop for their mission-critical applications.Through this partnership, WANdisco and Data Tactics will provide enterprises with a seamless approach to full-cycle enterprise Hadoop deployments. Together, the companies will provide customers with a comprehensive approach to Hadoop deployment, including business use case i