IoT
IoT
Data Management // Big Data Analytics
News
3/17/2016
10:05 AM
Connect Directly
Twitter
RSS
E-Mail
50%
50%
RELATED EVENTS
Core System Testing: How to Achieve Success
Oct 06, 2016
Property and Casualty Insurers have been investing in modernizing their core systems to provide fl ...Read More>>

Big Data's Priorities: Streaming Analytics, Self-Service

Businesses are taking the next step with big data technology in 2016 with plans to implement streaming analytics and self-service, as they work to embed big data insights directly into business applications and software.

9 Hot Big Data And Analytics Startups To Watch
9 Hot Big Data And Analytics Startups To Watch
(Click image for larger view and slideshow.)

Streaming analytics, self-service options, and embedding big data insights into the applications that drive the business are the new priorities for organizations as they evaluate their big data strategies.

That's according to a new TechRadar report from Forrester Research that looks at the state of big data in businesses today.

Enterprise organizations have reached a new stage in big data adoption, and in 2016 they will be looking to embed the technology into the applications that power their businesses via integration and APIs.

The priorities for this year mark a change from organizations' comfort level just three years ago with big data technologies. In 2013, customers were still trying to grapple with branching out from their traditional data technologies to those that could encompass big data. But in those few years, organizations have gained enough confidence to want more. And at the same time the technology has advanced.

Create a culture where technology advances truly empower your business. Attend the Leadership Track at Interop Las Vegas, May 2-6. Register now!

"Forrester has seen an explosion in client adoption of big data since we first wrote about it in 2011," wrote Brian Hopkins, Forrester Research VP and principal analyst serving enterprise architecture professionals, in the TechRadar report. "For example, the number of firms implementing streaming analytics, a key leading-edge big data technology, more than doubled between 2012 and 2015."

(Image: matdesign24/iStockphoto)

(Image: matdesign24/iStockphoto)

Streaming Analytics

Forrester has identified key vendors and technology for streaming analytics as Apache Spark Streaming, Apache Storm, Data Torrent, IBM, Informatica, SAP, Software AG, SQLstream, Striim (WebAction), TIBCO, and Vitria.

The analyst firm defines stream analytics software as technology that "can filter, aggregate, enrich, and analyze a high throughput of data from multiple disparate live data sources and in any data format to identify simple and complex patterns to visualize business in real-time, detect urgent situations, and automate immediate actions."

The rise of streaming technologies such as Apache Spark highlights one of today's challenges for enterprises -- the need to process and analyze data in real-time.

Enterprise Data Management and Big Data

With that in mind, Forrester noted that many of its clients are at a crossroads with their data management and big data programs, looking to invest in technology for real-time data processing and user and customer self service, but not knowing which options to choose amid a crowded field of options from open source and commercial vendors.

And organizations are planning to invest.

Forrester noted 61% of North American and European companies had implemented or planned to implement big data by the end of 2016, according to its Global Business Technographics Data And Analytics Survey, 2015, which polled 3,005 business and technology decision makers at companies with 100 or more employees in the US, Australia, Brazil, Canada, China, France, Germany, India, New Zealand, and the UK.

Advanced Analytics, In-Memory, And Data Preparation Tools

Newer enterprise goals for big data mean that technologies such as advanced analytics conducted in-memory and data preparation tools are in high demand, according to Forrester.

Forrester looked at about 20 different technology categories that touch big data, spoke with multiple vendors and experts in the field, and found that five specific technology categories ranked the highest in terms of customer interest. Those categories are data integration, data services and APIs, in-memory computing, data preparation and discovery, advanced analytics, and monitoring and administration. All these categories have something in common. They enable the integration of insights into "the fabric of business," the report notes.

"To keep pushing revenue growth and digital customer experience transformation, big data technology is expanding its scope," wrote Hopkins. "It must also address the scale, speed, and integration requirements necessary to embed insights into the very fabric of next-generation, insights-driven businesses."

Jessica Davis has spent a career covering the intersection of business and technology at titles including IDG's Infoworld, Ziff Davis Enterprise's eWeek and Channel Insider, and Penton Technology's MSPmentor. She's passionate about the practical use of business intelligence, ... View Full Bio

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
kbannan100
50%
50%
kbannan100,
User Rank: Strategist
3/21/2016 | 4:03:56 PM
Re: Welcomed trend
Very true! It's also the fact that analytics are finally mainstream and easy to use. Cloud-based analytics make it even easier, too.


--KB

 

Karen Bannan, commenting on behalf of IDG and Informatica
pfretty494
100%
0%
pfretty494,
User Rank: Moderator
3/21/2016 | 3:45:05 PM
Welcomed trend
It's the move towards enabling self service that will ultimately bring more of the business users into the fold and help organizations to enjoy the operationalization of this investment.  There are a few great articles on this topic at the Big Data Forum. Peter Fretty for SAS
PeterV147
50%
50%
PeterV147,
User Rank: Apprentice
3/18/2016 | 11:16:39 AM
Also Apache Flink and Google Cloud Dataflow
Also Apache Flink and Google Could Dataflow are very relevant technologies for Streamin Analytics.
6 Tools to Protect Big Data
6 Tools to Protect Big Data
Most IT teams have their conventional databases covered in terms of security and business continuity. But as we enter the era of big data, Hadoop, and NoSQL, protection schemes need to evolve. In fact, big data could drive the next big security strategy shift.
Register for InformationWeek Newsletters
White Papers
Current Issue
Top IT Trends to Watch in Financial Services
IT pros at banks, investment houses, insurance companies, and other financial services organizations are focused on a range of issues, from peer-to-peer lending to cybersecurity to performance, agility, and compliance. It all matters.
Video
Slideshows
Twitter Feed
InformationWeek Radio
Sponsored Live Streaming Video
Everything You've Been Told About Mobility Is Wrong
Attend this video symposium with Sean Wisdom, Global Director of Mobility Solutions, and learn about how you can harness powerful new products to mobilize your business potential.