While large data sets may provide significant value in certain cases, data diversity and integrating smart data points will provide more consistent actionable insights and high value intelligence leading to better decision-making.



For example, consider NFL football data. Focusing on large football game data sets is usually not helpful and often misleading creating…

The "Big Data" marketing hype obscures the fact that more actionable, valuable insights are likely to be found in the right smaller "Smart Data" sets in contrast to large data sets.



While the term "Big Data" is properly defined as data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time - the…

The "big data" technology vendor market is ripe for consolidation. The myriad of vendors and technologies is causing market confusion. Matt Turck created a nice visualization entitled "…

Hadoop is an open source framework for storing massive amounts of data on clusters of commodity hardware.



Haboob is a dense dust storm that moves fast…

Big data analytical ecosystem architecture is in early stages of development. Unlike traditional data warehouse / business intelligence (DW/BI) architecture which is designed for structured,…

In-Memory Data Grids (IDG) allow organizations to collect, store, analyze and distribute large, fast-changing data sets in near real-time. Organizations are increasingly using IDG's for the efficient sharing of fast-changing data across multiple sites. IDG's provide the scalability and…

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The Internet of Things (IOT) will soon produce a massive volume and variety of data at unprecedented velocity. If "Big Data" is the product of the IOT, "Data Science" is it's soul.…

Ray Wang's HBR piece "What a Big-Data Business Model Looks Like" asserts three basic information…

Big Data Platforms as a Service (PaaS) lets an organization take advantage of a service providers compute power, analytical tools, store as much data as needed and pay only for resources used. Data…

Recent surveys suggest the number one investment area for both private and public organizations is the design and building of a modern data warehouse (DW) / business intelligence (BI) / data analytics architecture that provides…

Data Veracity, uncertain or imprecise data, is often overlooked yet may be as important as the 3 V's of Big Data: Volume, Velocity and…

See: http://bit.ly/KQ1bsS

Big Data Vendor Landscape

Companies, products, and technologies included in the Big Data Landscape:

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The Hadoop stack includes more than a dozen components, or subprojects, that are complex to deploy and manage. Installation, configuration and production deployment at scale is challenging.

The main components…