Succeeding with Polyglot Persistence

As a consultant, I work with clients enabling them to become successful with the new data and software technologies. For some of our clients, relational databases are not the optimal choice, and various NoSQL systems appear as reasonable alternatives.

At the Global Big Data Conference this year in Silicon Valley (Santa Clara), I will be giving a talk about our journey into polyglot persistence: the use of several types of data stores that are each a good match for a particular part of information processing problem.

As we started embracing Big Data and NoSQL across a number of projects, it quickly became clear that one technology is not going to be a solution for all of our needs. We begin by outlining the issues relational technology has with scalability and new data formats. We then illustrate the examples of dominant NoSQL technologies and how they fit into the big picture.

We will show how to productively bring in NoSQL systems into the enterprise, including classical reporting systems and integration strategies with relational systems. You will benefit from getting a clear picture of what type of NoSQL data store is a good match for data processing piece of puzzle.

Outline:

•  What is polyglot persistence?
•  The relational database problems
•  Taming big data with Hadoop and Map Reduce
•  Scalability with Key/Value and Columnar stores
•  Flexibility of Document stores
•  Finding connections with Graph databases
•  Data Governance for NoSQL
•  NoSQL and Master Data Management
•  NoSQL integration strategies

More details and registration at the Global Gig Data Conference site.