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Sunday, July 18, 2010. 2 Change data capture system. Source log file readers, source date and sequence number filters, and CRC-based record comparison in ETL system.

Hadoop is a large-scale distributed batch processing infrastructure. While it can be used on a single machine, its true power lies in its ability to scale to hundreds or thousands of computers, each with several processor cores. Hadoop is also designed to efficiently distribute large amounts of work across a set of machines. How large an amount of work? Challenges at Large Scale. To be successful, a large-scale distributed system must be able to manage the above mentioned resources efficiently.

Checkout latest Informatica Tutorials and Guides for FREE. You can extract data from multiple sources, transform the data according to business logic you build in the client application, and load the transformed data into file and relational targets.

What if you want to experiment with Hadoop, but do not have many machines? While operations on a two or four-node cluster are functionally equivalent to those on a 40 or 100-node cluster, processing larger volumes of data will require a larger number of nodes.