Top Trends for 2016 in Big Data Technology, Adoption and Information Management
FREMONT, CA: Forecasting upcoming technical trends, experts have put pen to paper in expressing what the year 2016 upholds for the enterprises. Not lagging behind in making future predictions are the IT executives who have also geared up to offer their thoughts on the upcoming challenges and opportunities ahead in the coming year and beyond, reports Joyce Wells, Adam Shepherd, and Stephanie Simone for database Trends and Applications.
Here are few Big Data and Information management predictions for 2016:
Drifting Towards the Cloud: Application Development and Testing
Cloud is changing the way applications are designed, tested and deployed, resulting in a significant shift in application development priorities. As CIOs evaluate which cloud technologies make sense, the first move they make is transitioning development-and-testing to the cloud. Mark Hurd, CEO, Oracle predicts that the entire Cloud-based app development and testing will be done in the cloud by 2016, providing a clear return on investment (ROI) opportunity.
Conducting dev-and-test using on-premises software and hardware is troublesome and waste of time as IT teams have to buy, license, and configure everything from servers to databases needed to create a development environment that will hopefully match to the production environment an app will run someday. As a result, 80 percent of the resources gets wasted during dev-test and also slows down the work.
Leveraging the Power of IoT
Gartner has predicted that the revenue generated from IoT devices will exceed $300Bn in 2020. The rate at which enterprises’ inclination towards leveraging connected devices is increasing, it will not be a surprise to witness the Internet of Things (IoT) expanding beyond just hype. According to Stefan Groschupf, CEO, Datameer, companies will actively change their strategy and infrastructure to harness the power and insight of IoT technologies and data in 2016.
Flash Storage is going to be a Valuable Resource
According to John Schroeder, CEO and cofounder, MapR, flash memory is going to be a key technology that will enable new design for products in the consumer, computer and enterprise markets in the coming year. Moreover, consumer demand for flash will drive down its cost and flash deployments in Big Data will begin.
New Age Security to Combat New Cyber Threats
In the era of connected devices, as many devices in the smart home are always on and always communicating so it has become easy for the hackers to hack into people’s lives, according to Intel Security’s predictions on the future of cybercrime and security for 2016 and beyond in the McAfee Labs Threat Predictions Report.
According to Vincent Weafer, vice president, Intel Security’s McAfee Labs, to address the business, technology and threat landscape realities facing security challenges, organizations need to use technologies that will enable and not hinder their businesses, and understand what kinds of threats could be confronting them tomorrow and far into the future.
Business Intelligence Market to Soar
As advanced data technologies emerge, businesses will process and store more information than ever before which will lead business intelligence (BI) and analytics to new heights in 2016, says Brad Peters, co-founder and chief product officer of Birst. Companies will look for a next-generation BI and analytics platform that will help them to tap into the power of their data whether in the cloud or on-premises.
Creating an increased demand for data-driven insights, the emerging field of data analytics upholds promise not only for IT sector but increasingly for research, strategy, product development and marketing fields that helps companies bring down their costs, gain consumer insights and enhance product offerings.
Increase in Demand for Big Data Cloud Services; Rise of the Spark
With growth in Hadoop demand exceeding the growth of available talent, salaries for data scientists and Hadoop administrators will see a sharp increase in 2016 according to Mike Maciag, COO, Altiscale. As a result, organizations will rely on fully managed cloud services with built-in operational support, freeing up existing data science teams to focus their time and effort on analysis instead of wrangling complex Hadoop clusters. The increase in presence of IoT devices in the market will make cloud the leading platform for collecting and analyzing data generated by the IoT devices and ensure their uptime and performance. While Spark has the potential to evolve into the standard framework and API for parallel algorithmic analytics and machine learning in the coming year.
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