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2017 Predictions for the Big Data Market

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[数据库(综合) 所属分类 数据库(综合) | 发布者 店小二04 | 时间 2017 | 作者 红领巾 ] 0人收藏点击收藏

2017 Predictions for the Big Data Market

Throughout the year, we’ve weighed in on key big data trends and what’s happening in the market. But we’re hoping 2017 will become the best big data year yet. What’s in store for us?

We persuaded three of the experts at Datameer to give their predictions for what we’ll be seeing in the coming year. Read on to find out more.

But before you start … if you’re not already a Datameer blog subscriber, you’ll want to subscribe now . We have something fun planned for the whole month of January!

Andrew Brust, Senior Director of Market Strategy and Intelligence Hadoop (YARN and HDFS) is a super powerful distributed computing platform. Next year, an increasing number of companies will start using it as infrastructure for their own offerings, rather than as a directly exposed platform. These companies will treat Hadoop more like an operating system and less like an application, abstracting away Hadoop’s complexity and turning its cluster-based deployment into a mere implementation detail. Customers will get the power of the Hadoop platform and of the execution engines designed for it, without needing expertise in the platform or those engines themselves. Enterprise developers and database administrators are increasingly interested in analytics technology, and will bring true critical mass to these technologies in 2017. At the same time, analytics tools will become more accessible than ever before to technologists with enterprise developer and database skill sets. Joanna Schloss, Director of Product Marketing Hadoop distribution vendors will have crossed the chasm ― unstructured data in Hadoop is a reality. But, since the open source problem has not been addressed, they aren’t making much money. As such, there will be an acquisition of many of these vendors by bigger players. As well as the idea that bigger ISV Hadoop vendors will band together and create larger entities in hopes of capitalizing on the economy of scale. Data preparation will become more of a feature rather than a market as big data analytics continue to evolve both in product offerings and market share. As such, there may be a consolidation in the marketplace as companies start to acquire product offerings in this area as well as customer lists from small, niche vendors. John Morrell, Senior Director of Product Marketing Big data analytics will evolve from being projects and become measured based on the value brought to the organizations and business units they support. As such, value-based based metric frameworks will come to market that help align business and IT teams, and allow companies to describe and capture the value big data analytics isdelivering to the organization. Hadoop and big data analytics platforms will advance their governance and operationalization capabilities as many companies move their big data initiatives from being an insight discovery tool to analytic pipelines that feed insights to a large audience of analysts and business processes.

Don’t forget! Subscribe to our blog today to amp up your big data learning throughout the month of January with musingsfrom various thought leaders.

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