Informatica modernises data management with Cisco

With the growing pace of business and increasing use of mobile devices and industrial sensors, businesses have never had as much opportunity to create competitive edge fueled by data. New scalable and efficient technologies such as Hadoop are enabling larger quantities and varieties of data to be collected, perfected, and protected to drive new innovations and fuel competitive edge. Surveys show that traditional technologies are not being properly utilised to meet the challenges of modern business.
To meet exploding business demands for data, it is vital that data warehouse systems be optimised for higher value utilisation. Yet, surveys by Appfluent Technology, Inc., a provider of Big Data management software to transform the economics of Big Data and Hadoop, show that as much as 50 percent of a traditional data warehouse’s processing capacity is spent on data integration tasks, and that up to 70 percent of data in a typical warehouse environment is infrequently used, thus exerting a further drag on warehouse resources.

Enterprises seek simpler solutions for accelerating the deployment of modern data management environments while minimising risks in the areas of productivity, maintainability and data governance. The most viable solution is to offload ETL/ELT processing and archive data to Hadoop to free data warehouse resources for higher value tasks.

The Informatica and Cisco Data Warehouse Optimisation solution helps minimise the risks of transitioning from traditional systems to Hadoop for faster integration and preparation of greater volumes and more varieties of data.

“Data warehouse optimisation is a key IT initiative of data management modernisation and the pursuit of next generation analytics,” said Ash Parikh, vice president of product marketing, Data Integration and Security, Informatica. “Utilising proven Cisco and Informatica technologies for big data integration and archiving, data virtualisation, and big data management, the Data Warehouse Optimisation solution provides a simple and trusted solution for organisations seeking the scalability and economics of Hadoop.”

Powering big data adoption and logical data warehousing
The Data Warehouse Optimisation solution works with a customer’s Apache Hadoop distribution of choice, including Cloudera, Hortonworks and MapR. The solution provides a complete software, networking and computing infrastructure for utilising big data in all its varieties, encompassing:
• Informatica Big Data Edition – Runs data integration and data refinement workloads (e.g.: ELT and ETL) natively on Hadoop for superior scalability and performance, and enables infrequently used historical data to be archived to Hadoop for superior economics, while keeping archived data readily accessible to business users and analytic applications.
• Cisco Data Virtualisation Platform – Federates data across the data warehouse and Hadoop for logical data warehousing, empowering organisations with a comprehensive view of all their data assets coupled with seamless data availability.
• Cisco Unified Computing System™ (UCS) – Provides a simple, high- performance and highly scalable Hadoop-optimisedhardware platform that combines compute, networking, storage and unified management capabilities for efficiently and cost-effectively handling big data.

“The Data Warehouse Optimisation solution is about enabling organisations to more easily leverage all their data assets – current and historical, transaction and interaction – for more effective analytics while reducing their data management costs,” said Mike Flannagan, vice president and general manager of Data and Analytics at Cisco.

“More than the sum of its parts, the solution’s Cisco and Informatica elements work synergistically to meet the demands of big data, to respond quickly to changing information needs, and to deliver insights that drive increased competitiveness and business innovation.”