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Tag Archives: Big Data

Why You Need a Strategic Data Service

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It’s no longer even a question that data is a strategic advantage. Every business is a data business now, and it’s no longer sufficient to store and archive data, you need to be able to act on it: protect, nurture, develop, buy and sell it. Billion-dollar businesses are built around it. But many businesses are running into the reality that ...

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Graph Degree Distributions using R over Hadoop

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There are two common types of graph engines. One type is focused on providing real-time, traversal-based algorithms over linked-list graphs represented on a single-server. Such engines are typically called graph databases and some of the vendors include Neo4j, OrientDB, DEX, and InfiniteGraph. The other type of graph engine is focused on batch-processing using vertex-centric message passing within a graph represented ...

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Understanding the World using Tables and Graphs

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Organizations make use of data to drive their decision making, enhance their product features, and to increase the efficiency of their everyday operations. Data by itself is not useful. However, with data analysis, patterns such as trends, clusters, predictions, etc. can be distilled. The way in which data is analyzed is predicated on the way in which data is structured. ...

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Why Data Strategy Matters

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Big Data has an alluring promise: crunch all of your datas and find out all these very important unknown things you didn’t know before. You will find out all sorts of important things about your customers. You’ll discover what they’re buying, what they’re not buying, what they like, what they hate. All sorts things that sound very strategic and important. ...

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The future of Big Data is linked to Cloud

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Data volumes are growing exponentially. Unstructured data from Twitter, LinkedIn, Mailling Lists, etc. has the potential to transform many industries if it could be combined with structured data. Machine learning, natural language processing, sentiment analysis, etc. everybody talks about them, hardly anybody is really using them at scale. Too many people when they talk about Big Data unfortunately start with ...

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Can MapReduce solve planning problems?

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To solve a planning or optimization problem, some solvers tend to scale out poorly: As the problem has more variables and more constraints, they use a lot more RAM memory and CPU power. They can hit hardware memory limits at a few thousand variables and few million constraint matches. One way their users typically work around such hardware limits, is ...

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Big data: when single node is better than clustered

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There’s a lot of hype about “big data” and a general trend to try to apply Hadoop to almost every problem. However, sometimes it turns out that you can get much better results by writing an old-fashioned, but optimised, single-node version of your algorithm. The specific case I’m writing about is generating recommendations (what items user may like) basing on ...

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Big Data: What about Security?

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From the first time Hadoop appeared it had a security problem. Apache Knox and Cloudera Manager have been solutions for providing authentication and authorization for basic database management functions. Also, the underlying Hadoop Filesystem now incorporates Unix-like permissions. But the issue has not been solved, so usually the pattern followed is to “plunk the S-word after the name of a ...

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