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2016 Big Data Trends

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Page 1: 2016 - d3kjp0zrek7zit.cloudfront.net...big data to work’ through use cases shown to generate ROI from increased revenue and productivity and lower risk. As we move into 2016, big

2016 Big Data Trends

Page 2: 2016 - d3kjp0zrek7zit.cloudfront.net...big data to work’ through use cases shown to generate ROI from increased revenue and productivity and lower risk. As we move into 2016, big

Last year the big data market centered squarely on technology around the Hadoop ecosystem. 2015’s been all about ‘putting big data to work’ through use cases shown to generate ROI from increased revenue and productivity and lower risk. As we move into 2016, big data continues its march beyond the ‘chasm.’ We’ll see more mainstream companies adopting big data and IoT, with traditionally conservative and skeptic organizations starting to take the plunge.

Read on to learn more about these six emerging big data trends.

Introduction . . . . . . . . . . . . . . . . . . . . . . . . . 2

Big Data Will Be Put to Work . . . . . . . . . . . 3

Internet of Things Is Getting Real . . . . . . . 4

Next Generation Analytics Will Be Embedded and Delivered . . . . . . . . . . . 5

The Cool Stuff is Getting Ready for Prime Time . . . . . . . . . . . . . . . . . . . . . . . 6

Cloud Is Emerging as a Preferred Deployment Model . . . . . . . . . . 7

User Experience Will Be a Major Investment Area . . . . . . . . . . . . . . 8

What’s Next . . . . . . . . . . . . . . . . . . . . . . . . . . 9

Table of Contents

Big Data in 2016

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Big Data Will Be Put to Work Big data will be put to work and data blending will be bigger and more important than we could ever have imagined back in 2010 when we were just getting started with Hadoop. Increasingly sophisticated demands means the pressure to innovate here will remain high in 2016. Consumers, for example, will increasingly expect retailers to offer highly custom-ized buying recommendations at the right time through the right device, followed through with seamless and secure e-commerce transactions. Data blending’s potential in every area from auto-motive telemetry to medical science to national security is enormous, and we’re only at the beginning.

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Internet of Things Is Getting Real! IoT will create anywhere from $3.9 trillion to $11.1 trillion in economic value by

2025. Use cases driving this transformation include Predictive Maintenance, Smart Cities and Smart Homes. Large industrial companies that

make, move, sell and support physical things are plugging sensors attached to their ‘things’ into the internet. This

presents myriad new challenges and opportunities in the areas of data governance, standards, health and

safety, security and supply chain - to name but a few. Companies must start planning now or risk being left behind.

Page 5: 2016 - d3kjp0zrek7zit.cloudfront.net...big data to work’ through use cases shown to generate ROI from increased revenue and productivity and lower risk. As we move into 2016, big

Next Generation Analytics Will Be Embedded and Delivered at the Point of ImpactExecutives view analytics as the top strategic enabler to grow their company’s revenue and productivity and cut costs. While some still view the classic BI model of a data analyst using a tool outside the application flow to analyze historical data as being somewhat helpful, they increasingly regard the next generation of analytics — where business users consume analytics through familiar, day-to-day business applications — as mission-critical.

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The Cool Stuff Is Getting Ready for Prime TimeThe explosion of cool new tools like Spark, Docker, Kafka, Lucene, Solr — emerging open source tools designed to enable large-scale, high-volume analytics on petabytes of data are moving from the “awkward teenager” phase to the “bearded hipster” phase! These tools are critical to driving faster innovation and are becoming more mature as we speak. We pride ourselves on leading the open source innovation and incorporating these exciting technologies into our platform while ensuring these technologies are hardened for use by our enterprise customers. Early this year we announced Spark integration with the Pentaho platform. Look for more exciting announcements next year!

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Cloud Is Emerging as a Preferred Deployment Model for Big Data

At our last Strategic Advisory Board session almost all members had either deployed their big data applications in the cloud, or were

planning to. This includes the stock exchange regulator FINRA, which operates in a highly secure environment,

handling and looking for anomalies in a whopping 75 billion transactions every day. Companies

want the option to deploy big data appli-cations either behind the firewall, 100

percent in the cloud or a hybrid, private/public cloud environment. Pentaho

announced its AWS capability this year and we are supporting our customers

as they look to the optimize deployment models across workloads and use cases.

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User Experience Will Be A Major Investment Area User experience will be a major investment area in the big data analytics ecosystem. This starts with cloud, but goes further into building better user experiences for streaming and predictive analytics. It’s also about integrating new, secure technologies like facial recognition to reassure users that their data is safe and trustworthy. Moving towards real-time speed is also a key part of the user experience. Our customers tell us that Hadoop is still too hard, and are hop-ing that the vendors invest in making the experience easier. The easier we all make it, the more use cases we unlock for the enterprise.

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Optimize the Data Warehouse

About Pentaho A Hitachi Group Company

Pentaho, a Hitachi Group company, is a leading data integration and business analytics company with an enterprise-class, open source-based plat-form for diverse big data deployments. Pentaho’s unified data integration and analytics platform is comprehensive, completely embeddable and de-livers governed data to power any analytics in any environment. Pentaho’s mission is to help orga-nizations across multiple industries harness the value from all their data, including big data and IoT, enabling them to find new revenue streams, operate more efficiently, deliver outstanding ser-vice and minimize risk. Pentaho has over 15,000 product deployments and 1,500 commercial customers today including ABN-AMRO Clearing, EMC, Landmark Halliburton, Moody’s, NASDAQ, RichRelevance, and Staples. For more informa-tion, please visit pentaho.com.

What’s NextReady to get serious about your big data strategy? Check out these helpful resources:

> Read all of the Big Data Blueprints to help you tackle your big data projects.

> See how companies are using big data integration in the Ventana Research: Big Data Integration Report.

> Download O’Reilly’s Field Guide to Hadoop ebook to learn more about Hadoop technologies as well as gain access to sample code and tutorials.

Interested in test driving Pentaho? Download the 30-day free trial to start your evaluation.

Copyright ©2016 Pentaho Corporation. Redistribution permitted. All trademarks are the property of their respective owners. For the latest information, please visit our web site at pentaho.com. 15-091

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