Top Ten Best Practices for Data Integration
Use these guidelines to help you achieve more modern, high-value and diverse uses of DI tools and techniques.
Open source seems on the verge of really coming into its own with enterprises.
Big Data's playing a role in this, with the "Most widespread adoption and the most feverish innovations," writes James Kobielus for Forrester Research in a recent blog post.
But open source isn't just expanding its enterprise footprint through Big Data - we'll also see a rise in open source data integration and business intelligence deployments, Kobielus says.
Forrester isn't the first to make this prediction. To be honest, I'm not sure who is, but I can tell you Director of TDWI Research for Data Management Philip Russom predicted last May that the next generation of data integration would incorporate open source - along with cloud computing, SaaS and Hadoop - and grow to big use within three years.
Open source has been working its way into the enterprise for years, so what makes now different from past efforts?
Kobielus identifies three main reasons:
Open source integration vendors certainly seem to be doing well. For example, in January, Talend announced it achieved 103 percent year-on-year growth last year over 2010, which it said "confirmed the penetration of open source integration in companies of all sizes, from the largest enterprises to the mid-market."
By the way, as of Monday, Kobielus had left Forrester to join IBM as a senior program director, product marketing, Big Data Analytics Solutions. As IBM's big data evangelist, he'll still be blogging and tweeting about many of the issues and trends he covered at Forrester.