Database Reference
In-Depth Information
Another exciting trend in data technology is the convergence between various data
technologies that have developed in isolation. There's a growing pool of users who
have enough experience with MapReduce, nonrelational databases, and cloud technol-
ogies to begin to demand tools that combine the best of all worlds. The best features
of various classes of technologies are gradually crossing over to appear in others. New
nonrelational databases are taking on aspects of relational databases. Business-oriented
ETL tools are integrating with MapReduce frameworks. Eventually, we can look for-
ward to a time in which major data software incorporates the best features of many
models of data technologies. What is innovative now will eventually become more
commonplace and even invisible to many users.
Finally, it's interesting to witness the culture clash between traditional business
analysts, statisticians, data-application developers, and others start to become more of a
melting pot. Statisticians are debating the pros and cons of working with massive data-
sets. Researchers are able to use tools previously available only to huge Web compa-
nies. Business analysts are considering how best to work with the hackers of Hadoop.
And a number of projects and startups are vying to try to fill the gaps between these
spaces. Hopefully the cross-pollination will result in people learning how to ask the
right questions about their data and use the best technologies available to help find the
best answers.
