List/Grid Tag Archives: Big Data

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HBase: Generating search click events statistics for customer behavior

In this post we will explore HBase to store customer search click events data and utilizing same to derive customer behavior information based on search query string and facet filter ...
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Applied Big Data : The Freakonomics of Healthcare

I went with a less provocative title this time because my last blog post (http://brianoneill.blogspot.com/2014/04/big-data-fixes-obamacare.html) evidently incited political flame wars. ...
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Why You Need a Strategic Data Service

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 ...
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Graph Degree Distributions using R over Hadoop

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 ...
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Understanding the World using Tables and Graphs

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. ...
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Why Data Strategy Matters

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 ...
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Hive: Query customer top search query and product views count using Apache Hive

This post covers to use Apache Hive to query the search clicks data stored under Hadoop. We will take examples to generate customer top search query and statistics on total product ...
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Apache Solr real-time live index updates at scale with Apache Hadoop

Episode # 22 of the podcast was a talk with Patrick Hunt We talked about the new work that has gone into Apache Solr (upstream) that allows it to work on Apache Hadoop. Solr has support ...
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The future of Big Data is linked to Cloud

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 ...
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Can MapReduce solve planning problems?

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. ...
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