Mistakes to Avoid to Implement Hadoop Successfully
July 7, 2017
Hadoop has been at the forefront of Big Data implementation methodologies. The journey so far has been filled with more failures than successes. An expert thus has put up a list of common mistakes to avoid while implementing Hadoop.
Wael Elrifai in a post titled How to Avoid Seven Common Hadoop Mistakes and posted on IT Pro Portal says:
Business needs specialized skills, data integration, and budget all need to factor into planning and implementation. Even when this happens, a large percentage of Hadoop implementations fail.
For instance, the author says that one of the most common mistakes that most consultants commit is treated Hadoop like any other database management system. The trick is to treat data lake like a box of Legos and start building the model with one brick at a time. Some other common mistakes include not migrating the data before implementation, not thinking about security issues at the outset and so on. Read the entire article here.
Vishol Ingole, July 7, 2017
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