Big Data Analytics Is Just Starting to Reach Its Potential: 10 Reasons Why

 
 
By Chris Preimesberger  |  Posted 2012-07-09
 
 
 

Hadoop Acceptance Growing

There is much greater acceptance of closed-source community of technology providers now building value on top of the Hadoop platform. At the recent Hadoop Summit 2012, this industry metric was shared:  There were nine providers in the Hadoop market in 2009, and now that number has surpassed 120 in 2012.

Hadoop Acceptance Growing

Hadoop Integrations Increasing

Hadoop alone cannot solve all problems for big data in the enterprise. It is being rapidly adopted, but is being integrated with other traditional database management systems, including data warehouse/BI platforms.  All the major all-purpose IT providers (Hewlett-Packard, Dell, Oracle, Cisco Systems, IBM, EMC) have their own Hadoop options.

Hadoop Integrations Increasing

Coming: More Hadoop Services in the Cloud

Hadoop in the cloud will take off. It is much easier to provision resources through virtualization and it's economically more attractive and faster to get an environment up and running.

Coming: More Hadoop Services in the Cloud

Value of Retaining Detailed Raw Data

Big data technologies allow you to keep all the detailed raw data. Before these technologies existed IT managers would aggregate and roll-up data to give users access for query and analysis. Now, the data analysts can have all the data they want to uncover real business truths.

Value of Retaining Detailed Raw Data

There Is a Shortage of Big Data Development Skills

The barriers to implementing big data and Hadoop Adoption continue to be lack of skills, security and availability of the environment (data, too). Both the open source and proprietary software development communities are now addressing this.

There Is a Shortage of Big Data Development Skills

Hadoop Makes Leap to Mainstream

Conventional enterprises (banks, telecoms and retailers) are now running business applications on Hadoop. However, few are willing to share all the details, and true ROI case studies are still hard to find. However, eWEEK, is developing case studies that will appear in the future.

Hadoop Makes Leap to Mainstream

Other Analytics Platforms Doing Good Work, Too

Big data —as defined by the four data Vs: volume, velocity, variety, value—doesn't always specifically signify Hadoop. Petabyte-scale systems with high-velocity data creation are run on low-cost commodity hardware such as NAS storage and not always using Hadoop.

Other Analytics Platforms Doing Good Work, Too

Offline Tape Storage Heading for Obsolescence in Big Data Applications

Big data technologies will eliminate offline tape storage. There is no reason to put any enterprise data on offline tape, which is cheap, but is also inaccessible and highly risky. This, in fact, may be the most hotly argued point on this list. More than half of all enterprises currently use tape storage for at least one purpose, such as archives, backup or disaster recovery.

Offline Tape Storage Heading for Obsolescence in Big Data Applications

Machine Learning Rising in Importance

Machine learning and artificial intelligence is on the rise. However, it is still nascent in large and typically conservative enterprises such as banks, financial services, telecoms, retail and manufacturing.

Machine Learning Rising in Importance

Hadoop Will Evolve

The Hadoop platform, which only does offline batch processing at this time, will begin including things like free-text search technology and GUI-based visualization tools.

Hadoop Will Evolve

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