5 Big Data stories to read this weekend

As we approach the weekend, probably take a break from the heavy technical stuff to read more about the buzz that Big Data has been generating along. Listed below are 5 hand-picked Big Data stories (in Om Malik way) that you would enjoy reading over the weekend…

Clearing Up Some Confusion on theHadoop Wars

Gives a fair perspective on the Cloudera and Hortonworks strategy on Hadoop – though the post paints more positive picture of Hortonworks and remains silent about MapR, another key player.

Who doesn’t love Hadoop?

Carrying a similar tone, this post puts a perspective on why Hadoop is still open source and even the likes of Microsoft joining this OSS ecosystem.

Cassandra @Twitter: An Interview with Ryan King

A short crisp discussion with Ryan King of Twitter on why Cassandra is ruling the roost in Tweet world.

10 Big Data Sites to Watch - By Gil Press | ForeignPolicy

A good list of 10 sites which are using Big Data for competitive advantage – though not with Hadoop and usual tools, but still good use cases to think over

Managing sewage like traffic thanks to data

And, a real life example of how Big Data could be used for basic amenities like managing sewage in city. Perfect example of smarter city as well a guiding example for Big Data usage.

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Beyond NSA, the intelligence community has a big technology footprint

While all through the past few days the focus has been on NSA activities, the discussion has often veered around the technologies and products used by NSA. At the same time, a side discussion topic has been the larger technical ecosystem of intelligence units. CIA has been one of the more prolific users of Information Technology by its own admission. To that extent, CIA spinned off a venture capital firm In-Q-Tel in 1999 to invest in focused sector companies. Per Helen Coster of Fortune Magazine, In-Q-Tel (IQT) has been named “after the gadget-toting James Bond character Q”.
In-Q-Tel states on its website that “We design our strategic investments to accelerate product development and delivery for this ready-soon innovation, and specifically to help companies add capabilities needed by our customers in the Intelligence Community”. To that effect, it has made over 200 investments in early stage companies for propping up products. Being a not-for-profit group, unlike Private Venture capi…

Data deduplication tactics with HDFS and MapReduce

As the amount of data continues to grow exponentially, there has been increased focus on stored data reduction methods. Data compression, single instance store and data deduplication are among the common techniques employed for stored data reduction.
Deduplication often refers to elimination of redundant subfiles (also known as chunks, blocks, or extents). Unlike compression, data is not changed and eliminates storage capacity for identical data. Data deduplication offers significant advantage in terms of reduction in storage, network bandwidth and promises increased scalability.
From a simplistic use case perspective, we can see application in removing duplicates in Call Detail Record (CDR) for a Telecom carrier. Similarly, we may apply the technique to optimize on network traffic carrying the same data packets.
Some of the common methods for data deduplication in storage architecture include hashing, binary comparison and delta differencing. In this post, we focus on how MapReduce and…

Top Big Data Influencers of 2015

2015 was an exciting year for big data and hadoop ecosystem. We saw hadoop becoming an essential part of data management strategy of almost all major enterprise organizations. There is cut throat competition among IT vendors now to help realize the vision of data hub, data lake and data warehouse with Hadoop and Spark.
As part of its annual assessment of big data and hadoop ecosystem, HadoopSphere publishes a list of top big data influencers each year. The list is derived based on a scientific methodology which involves assessing various parameters in each category of influencers. HadoopSphere Top Big Data Influencers list reflects the people, products, organizations and portals that exercised the most influence on big data and ecosystem in a particular year. The influencers have been listed in the following categories:

AnalystsSocial MediaOnline MediaProductsTechiesCoachThought LeadersClick here to read the methodology used.

Analysts:Doug HenschenIt might have been hard to miss Doug…

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