Big Data Translates Into Big Demand for Tech Tools

By Dennis McCafferty  |  Posted 09-29-2017 Email

With the volume and velocity of data growing staggeringly fast, an increasing number of companies are investing in big data platforms and interfaces—as well as a variety of other data-focused tools—to respond to the subsequent demands on IT, according to a recent survey from Progress. The accompanying report, "2017 Data Connectivity Outlook," indicates that Hadoop Hive and Spark SQL lead the list of top big data platforms and interfaces. As for Software-as-a-Service (SaaS) data solutions, CIOs and their tech teams are most likely to opt for Office365 and Google Analytics. Through these and other deployments, they hope to overcome major data-related challenges, which include the spread of data through an increasing number of data sources and the need to integrate cloud data with on-premises data. "We're seeing highly skilled data teams, data engineers, data scientists and data analysts expanding in the enterprise," said Sumit Sarkar, chief data evangelist for Progress. "Distributed architectures for big data and the cloud make it cost-effective to store data, and there are a number of sophisticated data management stacks to clean and transform it. The final leg of this journey is data access [from] a growing number of data sources of different shapes and sizes, and deployed across firewall boundaries in the cloud and on the ground. There is no magic bullet, but industry standard data APIs … represent an opportunity to really connect enterprise systems and focus hungry data consumers on analyzing data, rather than learning how to access it. Many CIOs recognize this and mandate adoption of open-data access standards to future-proof their data investments." An estimated 1,200 global IT and business professionals took part in the research.

Dennis McCafferty is a freelance writer for Baseline Magazine.


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