Real-time analytics News
March 01, 2017
The Splunk partner program has been updated with a revised governance document and a new deal registration process, as the data analytics company seeks to drive channel sales.
February 16, 2017
Spark Streaming architecture to date has focused much on programming perks. Now, as a bit of a hedge against other streaming choices, Drizzle comes to bat to cut streaming latency.
February 06, 2017
SAP Enterprise Information Management (SAP EIM) portfolio has been updated to improve data quality, big data support, ease-of-use and SAP HANA integration.
January 27, 2017
Concur app developers switched to Realm to add offline functionality and faster real-time synchronization to their business travel and expense mobile app.
Real-time analytics Get Started
Bring yourself up to speed with our introductory content
The desire to accelerate operational decision-making processes is leading organizations looking for a competitive edge to deploy streaming analytics platforms fed by real-time data. Continue Reading
Accurate positioning boosts functionality and flexibility in internet of things measurement, sensing and control applications. Continue Reading
While consumer-grade internet of things devices are hogging the limelight, it will be in real-time data management where the value of IoT lies. Continue Reading
Evaluate Real-time analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
Real-time analytics applications typically involve multiple streams of data that need to be properly organized and coordinated, a job that calls for new message queuing technologies. Continue Reading
The EVRYTHNG IoT platform is gaining traction with customers, helping digitize everyday objects and create actionable, real-time data. Continue Reading
A real-time data architecture that can support streaming analytics applications is an enticing, yet daunting, prospect for organizations looking to act quickly on information. Continue Reading
Manage Real-time analytics
Learn to apply best practices and optimize your operations.
Analytics helps improve business operations, and SQL Server 2016 users can master it -- in real time, using operational data in a transactional database. Continue Reading
In this webcast, CISO Demetrios Lazarikos answers questions about IoT cybersecurity strategies and best practices. Continue Reading
If your contact center software needs updating, this tip will help you focus on some of the must-have technology to buy in 2017. Continue Reading
Problem Solve Real-time analytics Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
Real-time big data analytics calls for changes in the way data systems are built. Some of the pressing challenges are discussed in this edition of the Talking Data podcast. Continue Reading
The challenges encountered in deriving business benefits from big data are huge, but so are the rewards. Hadoop and related technologies are easing those challenges to the point where companies are willing to graduate from experimental to full-blown big data analytics deployments. Still, the march toward that goal can be long and arduous, and not just from a technological and architectural standpoint. Before taking the plunge, big data users, including data scientists, managers and evangelists, are faced with the sometimes monumental task of justifying big data's return on investment to business executives focused on competition, profit margins and allocation of funds. "For a lot of organizations like ours, big data has not yet become a core foundation of running the business," said Beata Puncevic, director of analytics, data engineering and data management at Blue Cross Blue Shield of Michigan. Yet, actionable insights gained from big data analytics can be indispensable in driving revenue, reducing costs and developing new products.
This handbook on big data analytics examines the trials and tribulations of big data users who are on the front lines, devising and implementing partial and full-blown applications. In the first feature, editor Craig Stedman interviews battle-tested IT and analytics warriors from Blue Cross, Macy's and Progressive Insurance who reveal the business challenges in justifying the worthiness of big data applications. In the second feature, Stedman explains how real-time big data analytics is helping companies like Comcast and eBay to move quickly on massive amounts of incoming information. And in the third feature, reporter Ed Burns spotlights the decisions at Neilsen and Nasdaq to run or not to run big data systems in the cloud.Continue Reading
Real-time behavioral threat analytics is the next frontier in security. Learn how a behavioral threat assessment tool can protect your enterprise systems and data. Continue Reading