What’s your big data budget? According to research firm Ovum, take whatever your answer is and multiply it. A lot.
By Karen J. Bannan
According to the firm’s most recent report, Ovum Software Market Forecasts: Information Management, 2015, the big data software market is expected to grow by nearly six times by 2019. In fact, it is expected to increase at a compound annual growth rate of 50 percent through 2019, making big data analytics – and, in theory, the data warehouses that store all that data – a necessary core capability for businesses across the globe.
“The experimental era of big data is coming to an end, organizations are formalizing their use of big data technology to realize the business value they expect to find,” says Tom Pringle, the co-author of the report who is also a practice leader at the firm.
Part of that formalization process is the need for a solid data warehouse to support the analytics and other technologies that help organizations uncover insight. And yet many CIOs are struggling with their data warehouses. Maintenance is often a problem as is the fact that many struggle with the decision of whether they should create new data warehouse architectures or simply upgrade their current one. There’s also a disconnect when it comes to integrating Hadoop with traditional data analytics programs.
If you’re looking for answers to these questions as well as how the three-decade-old data warehouse is evolving into a logical data warehouse architecture – not to mention how IBM’s Fluid Query can help you gain a deeper understanding of your data, your business and your customers — please join our webcast (IBM Fluid Query – Unifying Data Access Across the Logical Data Warehouse) on July 29 by clicking here.