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  • ford

3 Big Data Lessons from a “Big 3” Company – Ford

By |February 24th, 2014|

In a recent interview from Gigaom Structure Show podcast, Ford Data Science Leader, Michael Cavaretta discussed lessons learned in harnessing the power of big data, (large complex data sets requiring advanced processing), and how to best put it to use. “Big data” at Ford can mean anything from data coming […]

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  • prediction

Only one valid big data prediction for 2014: It’s a big opportunity for CIOs

By |December 18th, 2013|

This is the time of the year when forecasters tap their crystal balls to tell us which technologies will shine and which will fade. Given that big data became so prominent in our lives in 2013, it’s no wonder it is playing a big role in these predictions. But did […]

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  • Hadoop

Top Performance Problems discussed at the Hadoop and Cassandra Summits

By |July 17th, 2013|

In the last couple of weeks my colleagues and I attended the Hadoop and Cassandra Summits in the San Francisco Bay Area. It was rewarding to talk to so many experienced Big Data technologists in such a short time frame – thanks to DataStax and Hortonworks for hosting these great events! It was also great to see […]

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  • HBase

Speeding up a Pig+HBase MapReduce job by a factor of 15

By |February 19th, 2013|

The other day I ran a Pig script. Nothing fancy; I loaded some data into HBase and then ran a second Pig job to do some aggregations. I knew the data loading would take some time as it was multiple GB of data, but I expected the second aggregation job to run much faster. […]

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Lessons learned from real world BigData implementations

By |September 20th, 2012|

In the last weeks I visited several Cloud and Big Data conferences. Especially the Big Data Innovation in Boston gained me a lot of insight. Some people only consider the technology side of BigData technologies like Hadoop or Cassandra. The real driver however is a different one. Business analysts discover Big Data technologies as the […]

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