TDWI Checklist Report: Self-Service (Big) Data Exploration Best Practices
Big data exploration is challenging because of its unorthodox and evolving structures. New tools are enabling users to overcome those challenges and reap the benefits from big data deployments.
Hadoop has proved its ability to scale to hundreds of terabytes of multi-structured data and the new forms of analytics processes that go with them— all at a fraction of the cost of older platforms. And while SQL continues to be a preferred query language, it needs to evolve to support big data platforms and the kinds of data exploration and analytics users want to perform.
This checklist report defines broad and unlimited data exploration best practices, with an emphasis on the roles of SQL and Hadoop.