by Angela Guess
A recent article asks, “What do CIOs need to do in order to make smart decisions about implementing big data solutions?” It answers, “Aditya Yadav & Associates (AY&A) is a global consulting company. In November it will publish a report on big data systems. Its focus looks pretty sound. We’ll have to make a final judgement when the report is published but it seems like it will cover the right topics. The report covers big data strategies for customers and companies that are exploring how to become big data service providers. Refreshingly, it looks to Internet companies as the models for what to do. This makes perfect sense. These companies are the pioneers in the field, developing the first use cases for how Hadoop is applied. The report does not include any vendor analysis, which it will save for future reports.”
The article continues, “Let’s run through an overview for if nothing else, it’s a basic guide for how consultants view the process for developing a big data strategy. (1) Start with Hadoop. Develop a working definition of Hadoop based upon your research. (2) Understand when and when not to use Hadoop. Hadoop is a distributed file system. It is not a database. For example, see Iwona Bialynicka-Birula post about what not to do when working with Hadoop to harvest its full potential. (3) Build an Economic Model. What is the cost to run the data across hundreds or thousands of nodes? What is the compute cost? (4) Use Internet Companies as a Model. Internet companies were the first to use Hadoop and have since built their own big data systems. Their architecture is a guide for building a big data environment.”
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photo credit: idovermani
