“Financial institutions and other large enterprises are hitting a serious cost/performance wall when it comes to executing core ETL operations on the tremendous volume of data residing on their mainframes," said Ron Indeck, VelociData’s President and CTO
St. Louis, MO (PRWEB) September 04, 2013
VelociData, provider of the world’s fastest Big Data operations appliances, today announced the addition of VelociData: Mainframe Offload to its portfolio. This solution dramatically lowers the cost of data transformations while accelerating batch jobs by orders of magnitude. Features in this release include data conversion for IBM mainframes—including EBCDIC to ASCII, as well as unpacking of COMP, COMP-3 and other common legacy formats.
This solution is essential for organizations that need to include high volumes of mainframe data in their real-time/near real-time analytics and business intelligence efforts. VelociData enables customers to offload data integration processing from expensive mainframes and efficiently preprocess data for use by popular downstream technologies such as Informatica’s PowerCenter, IBM’s DataStage, Hadoop and Tableau. Without VelociData’s unique appliance-based solution, customers typically face one of several unacceptable choices: overspend on mainframe MIPS and associated software upgrade fees, miss critical delivery windows on time-bound processes, or simply not include legacy data in business intelligence efforts.
VelociData overcomes this legacy data conundrum by cost-efficiently offloading conversions, data quality and security/compliance-related processes at hundreds of thousands or even millions of records per second. These processes can range from EBCDIC to ASCII conversions to cleansing and correcting USPS addresses to masking data for upload to cloud-based test environments.
“Financial institutions and other large enterprises are hitting a serious cost/performance wall when it comes to executing extract, transform and load operations on the tremendous volume of data residing on their IBM mainframes—yet that data is indispensable for ensuring that the results of critical business intelligence and analytics deliverables are complete and accurate,” said Ron Indeck, VelociData’s President and CTO. “Only VelociData gives these enterprises the speed they need at the cost they need to successfully meet the relentlessly evolving Big Data demands of the business.”
VelociData’s breakthrough technology offloads data transformation operations that are made orders of magnitude faster, more scalable and more cost-effective than conventional approaches. VelociData’s plug-and-play form factor complements existing environments for rapid deployment. VelociData offers a subscription license model that allows customers to avoid excessive upfront capital expenditures and offers an engagement model that mitigates risk for IT decision-makers by enabling prospective customers to test the value before making a long-term commitment.
VelociData’s vision for real-time analytics is made possible by massively accelerating the most overburdened, time-bound ETL, data integration and data quality challenges required to gather data for downstream analytic processes. VelociData’s extreme scalability makes the volume of Big Data nearly irrelevant and creates the capability to respond near real-time for on-demand requests of data. This transformative improvement in the productivity of extraction, preparation and discovery tasks allows the analyst to spend more time delivering high-quality analytical insights. With these critical first steps in the business intelligence process simplified and accelerated, “mean-time-to-answers” can be made into a competitive advantage for organizations fully exploiting the benefits of VelociData solutions.
VelociData delivers the world’s fastest, purpose built, data transformation solutions. Its Big Data operations appliances radically alter the performance and economics of ETL and other processes essential to analytics, business intelligence, security and compliance. For more information, visit http://www.velocidata.com.