Tag: big data
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Verticalized Big Data solutions
General-purpose platforms can come across as hammers in search of nails [A version of this post appears on the O’Reilly Data blog and Forbes.] As much as I love talking about general-purpose big data platforms and…
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5 Fun Facts about HBase that you didn’t know
HBase has made inroads in companies across many industries and countries [A version of this post appears on the O’Reilly Data blog.] With HBaseCon right around the corner, I wanted to take stock of one of…
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2013 Revenue of some startup companies
The chart below is from Wikibon’s estimates1 of the 2013 revenue2 of some Big Data companies. Using d3 I drew a chart that shows 2013 revenue (in millions) from Big Data products and services, as well…
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Big Data solutions through the combination of tools
[A version of this post appears on the O’Reilly Data blog and Forbes.] As a user who tends to mix-and-match many different tools, not having to deal with configuring and assembling a suite of tools is…
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Stream Mining essentials
[A version of this post appears on the O’Reilly Strata blog.] A series of open source, distributed stream processing frameworks have become essential components in many big data technology stacks. Apache Storm remains the most popular,…
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Interactive Big Data analysis using approximate answers
[A version of this post appears on the O’Reilly Strata blog.] Interactive query analysis for (Hadoop scale data) has recently attracted the attention of many companies and open source developers – some examples include Cloudera’s Impala,…
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Near realtime, streaming, and perpetual analytics
[A version of this post appears on the O’Reilly Strata blog.] Simple example of a near realtime app built with Hadoop and HBase Over the past year Hadoop emerged from its batch processing roots and began…
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Tightly integrated engines streamline Big Data analysis
[A version of this post appears on the O’Reilly Strata blog.] The choice of tools for data science includes1 factors like scalability, performance, and convenience. A while back I noted that data scientists tended to fall…
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It’s getting easier to build Big Data Applications
[A version of this post appears on the O’Reilly Strata blog.] Hadoop’s low-cost, scale-out architecture has made it a new platform for data storage. With a storage system in place, the Hadoop community is slowly building…
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Tracking the progress of large-scale Query Engines
[A version of this post appears on the O’Reilly Strata blog.] As organizations continue to accumulate data, there has been renewed interest in interactive query engines that scale to terabytes (even petabytes) of data. Traditional MPP…