Tag Archives: hand-coding

Big Data in India

Last week I was in both Bangalore and Mumbai providing the keynote address at the Informatica World Tour events. I also had the opportunity to visit with customers and speak with media. Much like the rest of the world, big data is all the buzz. I was particularly taken by a set of questions asked by local media. I thought I’d share them with you along with some of my perspectives.

Who needs big data? What kind of business problems should an enterprise be facing to consider big data? (more…)

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The Democratization of Big Data: Bringing Hadoop to the Masses

James Markarian: Strata Conference + Hadoop World Keynote

Much of the heavy lifting involved with Big Data projects is accessing and preparing the data for analysis or what is often referred to as data integration. This can easily consume up to 80% of a big data development effort and yet too many developers resort to reinventing the wheel by hand-coding custom connectors, data parsers, and data integration transformations. Why not leverage a metadata-driven, codeless IDE with pre-built transformations and data quality rules so that custom development time can better be spent where it’s truly needed? Codeless environments have proven to be up to 10 times more productive than hand coding, are less error prone and easier to maintain. The skills are already out there and available from in-house IT or system integrators making it possible to get your projects running and into production quickly.

This keynote is sponsored by Informatica


James Markarian: Strata Conference + Hadoop World Keynote

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Why Data Integration Technology Beats Manual Coding Every Time

With the ready availability of data integration technology, it’s amazing to me that the use of manual coding for data integration flows is even a consideration. However, based upon this article in SearchDataManagement, the concept is still out there.

Of course the gist of the article is that hand coding is no longer considered the most productive way to go, which is correct. However, just the fact that this is still an issue and a consideration for anyone moving to data integration solutions perplexes me. Perhaps it’s the new generation of architects and data management professionals who need a quick lesson on the pitfalls of doing data integration by hand.  (more…)

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Big Data Innovation in Analytics (Hadoop) and Hand-coding (Informatica)

I recently had the pleasure of participating in a big data panel at the Pacific Crest investor’s conference (the replay available here.) I was joined on the panel by Hortonworks, MapR, Datastax and Microsoft. There is clearly a lot of interest in the world of big data and how the market is evolving. I came away from the panel with four fundamental thoughts: (more…)

Posted in B2B, Big Data, Cloud Computing | Tagged , , , , , , , , , , , , | 3 Comments