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.https://o1.qnsr.com/log/p.gif?;n=203;c=204663295;s=11915;x=7936;f=201904081034270;u=j;z=TIMESTAMP;a=20410779;e=i
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.
"As the enterprise Hadoop market continues to mature and many companies deploy their clusters for the most demanding analytical challenges, data scientists will begin to migrate toward this new, open source-centric platform. At the same time, enterprise adoption of the open source R language will grow in 2012 and beyond, and we'll see greater industry convergence between Hadoop and R, especially as analytics tool vendors integrate both technologies tightly into their offerings," he writes. "We will also see increasing adoption of open source data integration tools, such as those commercialized by Talend and others, and of open source BI tools from Pentaho, Jaspersoft, and others."
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 projects have gained widespread adoption in many IT sectors, because they are cheaper, and offer extensibility and active communities, he writes. Along the way, the open source approach has changed enterprise tools and platforms, from infrastructure to applications and widespread adoption.
- Open source communities innovate faster.
- Open source solutions and providers are maturing rapidly, and so are no longer seen as risky.
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.