Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Hadoop to Be Pervasive By 2015
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Hadoop to Be Pervasive By 2015
Analytics

Hadoop to Be Pervasive By 2015

BobGourley
BobGourley
3 Min Read
hadoop analytics
SHARE

Gartner projects that by 2015, 65% of packaged analytic applications with advanced analytics will come with Hadoop embedded. Sounds rational, logical, and realistic to me. Here is more from their 24 January 2013 release on the topic:

hadoop analytics

Gartner projects that by 2015, 65% of packaged analytic applications with advanced analytics will come with Hadoop embedded. Sounds rational, logical, and realistic to me. Here is more from their 24 January 2013 release on the topic:

hadoop analytics

More Read

email metrics tools
These Top 3 Email Metrics Tools Are Made Possible By Big Data Analytics
Is Predictive Analytics Changing The Future Of Mobile Phone Monitoring?
Yes, Advanced Business Analytics Can Cut Costs
High-Performing Predictive Analytics with R and Hadoop
Kindling the Flames: The Future of Data Governance

“New business insights and improved decision making with greater finesse are the key benefits achievable from turning more data into actionable insights, whether that data is from an increasing array of data sources from within or outside of the organization,” said Daniel Yuen, research director at Gartner. “Different technology vendors, especially niche vendors, are rushing into the market, providing organizations with the ability to tap into this wider information base in order to make sounder strategic and prompter operational decisions.”

By 2015, 65 percent of packaged analytic applications with advanced analytics will come embedded with Hadoop.

Organizations realize the strength that Hadoop-powered analysis brings to big data programs, particularly for analyzing poorly structured data, text, behavior analysis and time-based queries. While IT organizations conduct trials over the next few years, especially with Hadoop-enabled database management system (DBMS) products and appliances, application providers will go one step further and embed purpose-built, Hadoop-based analysis functions within packaged applications. The trend is most noticeable so far with cloud-based packaged application offerings, and this will continue.

“Organizations with the people and processes to benefit from new insights will gain a competitive advantage as having the technology packaged reduces operational costs and IT skills requirements, and speeds up the time to value,” said Bill Gassman, research director at Gartner. “Technology providers will benefit by offering a more competitive product that delivers task-specific analytics directly to the intended role, and avoids a competitive situation with internally developed resources.”

Gartner provides more detailed analysis in their report titled “Predicts 2013: Business Intelligence and Analytics Need to Scale Up to Support Explosive Growth in Data Sources.”

TAGGED:analytic applicationsbehavior analysisbig datahadoop
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

business recovering from data loss
How Data-Driven Businesses Protect MySQL Databases from Shutdown
Big Data Exclusive
ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive
data center uptime
Why Rodent-Resistant Conduits Are Critical for Data Center Uptime
Big Data Data Management Exclusive Risk Management
big data and AI
The Intersection of Big Data and AI in Project Management
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Big Data Redraws the IT Landscape

8 Min Read
big data for translation
Big DataExclusiveNews

Multi-lingual Capabilities of Big Data Solutions

6 Min Read
data banking
Big DataExclusiveFintech

Nic Redfern Highlights The New Role Of Big Data In Banking

5 Min Read

A Year On: The Promise of SAP HANA for Big Data Analytics (Part One)

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?