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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Offloading legacy with Hadoop

With most Fortune 500 organizations having invested in mainframes and other workload systems in the past, the rise of Big Data platforms poses newer integration challenges. The data integration and ETL players are finding fresh opportunities to solve business and IT problems within the Hadoop ecosystem.
To understand the context, challenges and opportunities, we asked a few questions to Syncsort CEO Lonne Jaffe. Syncsort provides fast, secure, enterprise-grade software spanning Big Data in Apache Hadoop to Big Iron on mainframes. At Syncsort, Lonne Jaffe is focusing on accelerating the growth of the company's high-performance Big Data offerings, both organically and through acquisition.
From mainframes to Hadoop and other platforms, Syncsort seems to have been evolving itself continuously. Where do you see Syncsort heading further?Lonne Jaffe: Syncsort is extraordinary in its ability to continuously reinvent itself. Today, we’re innovating around Apache Hadoop and other Big Data pla…

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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