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From the Blogosphere Big Data Trends in 2012
Big Data will follow the Consumerization model, where the core infrastructure either comes as a service or an appliance
By: Munish K Gupta
Feb. 27, 2012 05:00 AM
Big Data has caught the fancy of each and everyone. Consumer and enterprise world is looking to adopt the Big Data. Analysts are talking about it, proclaiming it to the next big thing!
Below is my take on how the Big Data market space will evolve in 2012 and years to come.
- Data Analytics Service – We will start seeing SaaS vendors that will start offering data analytics as a service (e.g., 1010data). These vendors will be able to pull in your unstructured data and provide you standardized reports and data services. This is very similar to the Web analytics (like Omniture) but access lot more data to provide patterns. 70-80% of the data analysis pattern will be similar across industries. These vendors will be able to provide these reports as off the shelf capabilities. For the other 20%, the web interface will allow the user to create patterns to analyze the data
- Data Visualization Service – Analysis is only one part of the data, the other big thing will be able to visualize the data (more like infographics) that help make sense of the scale and data points. Business will need help to make sense of all this analysis and again 3rd party vendors (via products or Saas) will be fulfilling this space
- Crowdsourcing Model – enterprise will start using the crowdsourcing model to help analyze and find patterns in the data. Goldcorp was one the original pioneers that used the crowdsourcing model to analyze the geological data. This model will be seen more when dealing large geospatial data in the areas of mining, drilling, oil ad gas
- RDBMS vendors will make a comeback – Big Data has been scoring high on account of their ability to analyze and process unstructured data. The NoSQL vendors and products are all claiming to be the holy grail of data storage, fast processing and analytics. I believe, the Big Vendors –Oracle, IBM and to some extent Microsoft will release their version of relational databases that can store (using automated data sharding) and process large amount of data (with a SQL MapReduce layer). The vendors will incorporate techniques from the NoSQL world coupled with in-memory storage (think Coherence, eXtreme Scale) to provide sub second read write response times. The market is too big for the existing vendors to not claim supremacy
- NoSQL market will shake up – The current crop of NoSQL solutions has emerged as need to fulfill certain use cases. Their base features and functionality have been decided by the patronizing user client/project co-sponsors (e.g. Cassandra – Facebook, Hadoop-Yahoo, membase-Zynga). These NoSQL solutions work very well for the specific use case. Attempts to broad base the use case, mean a lot of effort needs to put in. Along the way, some products will merge, some will lose community support and other will get acquired by product vendor companies
- Data Analysis Libraries - To help the developers analyze data, the common patterns and designs will be available as off the shelf libraries. This means, analyzing data for most common patterns will be easier and will become no-brainer. The projected need for Data scientists will not materialize to the same extent with the proliferation of these libraries. E.g. MS Cloud Numerics
Big Data will follow the Consumerization model, where the core infrastructure either comes as a service or an appliance. The data analytics, data visualization will be provided as a standard set of services on top of the raw data with an ability to create your own model.
Do let me know, how do you see the Big Data market moving forward and do you agree or disagree with my predictions?
Read the original blog entry...
About Munish K Gupta
Tech Spot is brought to by Munish K Gupta. He has more than a decade of IT experience in Architecting Portal and Content management Solutions to Developing Middleware Systems in the Financial /Transportation /Travel domain, using J2EE technologies.
Presently, He is leading the Architecture for High Performance Applications Practice in Wipro Technologies.
Munish holds a Masters degree in Computer Applications from Thapar University, Patiala, India.
Munish blogs at http://www.techspot.co.in and available on Twitter @write2munish
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The World's Most Influential Blogs Hybrid Architectures Do Not Require Private Cloud By Lori MacVittie  Taking advantage of cloud-hosted resources does not require forklift re-architecture of the data center. That may sound nearly heretical but that’s the truth, and I’m not talking about just SaaS which, of course, has never required anything more than an Internet connection to “integrate” into the da... Apr. 17, 2012 09:15 AM EDT Reads: 597 | Amazon AWS 19th Price Reduction – a Closer Look By Udayan Banerjee  If you have been following me regularly then you would know that I maintain that charges for cloud services are not coming down in proportion to the routine reduction of hardware cost. So, let us examine in Amazon has reversed the trend with its latest announcement of price reduction. On 6th March, ... Apr. 16, 2012 04:30 PM EDT Reads: 1,384 | Five Megatrends Are Driving the Personal Cloud Era By David Deans  If you believe that you've had to learn more about the safe online operation and ongoing management of your PC than you ever wanted to know, then you'll be pleased to discover that there's relief on the horizon. According to the latest market study by Gartner, the reign of the personal computer is c... Apr. 16, 2012 03:39 PM EDT Reads: 551 | Beyond the Walls of the Enterprise By Dustin Amrhein  Most in IT understand that mobile applications are unique. In terms of development, delivery, and management things just are not quite the same as compared to your typical enterprise application. There are many reasons for these differences including new and different programming models and language... Apr. 16, 2012 12:30 PM EDT Reads: 980 | Architecting for the Cloud Using Amazon Web Services By Jonathan Gershater  Using Amazon web services for elasticity and scale to build cloud applications.
Traditional IT environments that are built using physical servers can only scale and grow by buying new hardware and software and taking time to install and rack the hardware, configure the software and the application.... Apr. 16, 2012 05:00 AM EDT Reads: 1,144 | Cloud – Era of the Small Big Data Center By Cloud Ventures  A cute idea that popped into my head that effectively describes the main dynamic of the change occuring within the IT world, is the “small Big Data centre”, ie. The data centre is increasingly becoming Big Data oriented, not just in terms of reading data from apps like Hadoop, but of app... Apr. 15, 2012 08:14 PM EDT Reads: 519 | Freedom vs. Control By Peter Silva  No sooner had I posted BYOD–The Hottest Trend or Just the Hottest Term, last week than yet another BYOD survey hit the news. The full results will be released in a webinar tomorrow but SANS announced their First Annual Survey Results on Mobility Security. Last December, SANS launched its first ev... Apr. 13, 2012 10:45 AM EDT Reads: 750 | The HTTP 2.0 War Has Just Begun By Lori MacVittie  RFC 1945 – “Hypertext Transfer Protocol -- HTTP/1.0” – was published in May 1996. In June of 1999, RFC 2616 – “Hypertext Transfer Protocol -- HTTP/1.1” was published. In the ensuing 13 years there has been no substantial changes to the HTTP standard. None. Nada. Zilch.
Even as the size and number o... Apr. 13, 2012 07:00 AM EDT Reads: 1,225 | Cloud Computing Use Case: Development & Test Environments By Cloud Ventures  A recent article “Put Your Test Lab In The Cloud” outlined the pros, cons and considerations you must take into account when talking about hosting test labs in the cloud. Using the cloud for this purpose is not necessarily a new idea, and it’s one that certainly makes a lot of sense; Replication of ... Apr. 13, 2012 05:00 AM EDT Reads: 1,204 | An Introduction to the Data Cloud By App Man  As data has grown exponentially at many sites, companies have been forced to horizontally scale their data. Some have turned to sharding of databases like Postrres or MySQL , while others have switched to newer NoSQL data systems. There have been many debates in the last few years about SQL vs. No... Apr. 13, 2012 05:00 AM EDT Reads: 915 |
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Cloud Expo East
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Cloud Expo West
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Virtualization Expo West
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