Stan Dorcey

Stan Dorcey
Stan is a senior product specialist for Data Integration at Informatica. He has 20 years of data integration experience and over 12 years at Informatica. He is focused on high performance data integration with deep expertise in grid computing/high availability, pushdown optimization and real-time techniques. Stan is currently exploring Hadoop and big data integration. Over the years, he has guided numerous customers in scaling out their PowerCenter systems to meet their increased processing needs. Stan has a BSCompE (with Honors) from the University of Michigan.

Hitting the Batch Wall, Part 2: Hardware Scaling

This is the second installment of my multi-part blog series on “hitting the batch wall.” Well, it’s not so much about hitting the batch wall, but what you can do to avoid hitting the wall. Today’s topic is “throwing hardware” at the problem (a.k.a. hardware scaling). I’ll discuss the common approaches and the tradeoffs of hardware scaling with Informatica software.

Before I can begin to discuss hardware scaling, I start with this warning: faster hardware only improves the load window situation when it resolves a bottleneck. Data integration jobs are a lot like rush hour traffic, they can only run as fast as the slowest component. It doesn’t make any sense to buy a Ferrari if you will always be driving behind a garbage truck. In other words, if your ETL jobs are constrained by the source/target systems or I/O or even just memory, then faster/more CPUs will rarely improve the situation. Understand your bottlenecks before you start throwing hardware at them! (more…)

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Hitting the Batch Wall

Is the constant drum beat to process more data in less time keeping you up at night? Are your business users beating you up to deliver their data faster? Monthly loads turn into daily which turn into hourly which turn into… I don’t know… and you don’t know where to turn? Cheer up, you are not alone, and you’ve come to the right place. (more…)

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