Software companies aren’t the only ones that are trying to latch onto the big data movement.
Intel Corp. will release a few months what it calls a Data Platform, a suite based on open source technologies designed to make it easier and faster for companies to analyze large amounts of information. It leverages Intel’s Hadoop distribution, released 12 months ago.
It also announced the Intel Data Platform: Analytics Toolkit for creating a graph analytics and predictive modeling environment to help businesses uncover insights from hidden relationships within data.
The Data Platform provides an open environment for import, management and analysis of big data to offer improved reliability and enterprise-class security and support such as social media, customer and sensor data, the company said in a release. The platform also features several new data processing capabilities including streaming data processing, interactive and iterative analytics, and graph processing. Together these capabilities enable enterprises to extract value from data in ways not previously feasible with Apache Hadoop alone, Intel said.
“As big data shifts from hype to reality, Intel is helping to break down the barriers to adoption by easing complexity and creating more value,” Boyd Davis, vice-president and general manager of Intel’s Datacenter Software Division, said in a statement. “Much like an operating system for big data processing, the Intel Data Platform supports a wide variety of applications while providing improved security, reliability and peace of mind to customers using open source software.”
The platform will be available next quarter in two versions – the free Enterprise Edition and the paid Premium Edition – each offering various levels of support, Intel said. The Enterprise Edition will offer full platform capabilities but is for customers who can support their deployment. The Premium Edition will be sold on an annual subscription basis and will include additional technical features including enhanced automation, proactive security fixes and alerts, ongoing feature enhancements, and live telephone technical support.
The toolkit provides a foundation of common algorithms, such as graphs and network-based clustering, that IT teams can build on and customize with domain-specific code, Intel said. The easy-to-deploy algorithms are broad enough to be applied to multiple industries, including financial services, healthcare and retail. The toolkit will also provide an enhanced development framework for unifying graph analytics and classical machine learning to ease the programming effort.
Using the toolkit, a data scientist at a financial services firm could develop a fraud detection service that identifies patterns between purchasers, merchants and transactions to uncover potential points of compromise, Intel [Nasdaq: INTC] said.
The Intel Data Platform AT is available in beta now and expected to be commercially available by the end of the second quarter.
Big Data Opens the Door for Prescriptive Analytics
Making customer-level decisions that balance risk and profit just keeps getting harder. And when you think you have it right, turning them into actions can be even trickier. You also need to consider the factors that make smart decisions difficult. Big data. Regulations. Customers who want an offer, fast, or else you’re going to lose them. No doubt some of these challenges sound familiar. And this is where prescriptive analytics represents the next step in the analytic journey.