As reliance on Hadoop and Spark grows for data management, processing and analytics, data integration strategies should evolve to exploit big data platforms in support of digital business, Internet of Things (IoT) and analytics use cases. While Hadoop is used for batch data processing, Spark supports low-latency processing. Integration leaders should understand the various … [Read more...] about Five Patterns of Big Data Integration
ETL
An Extensive Glossary Of Big Data Terminology
Big data comes with a lot of new terminology that is sometimes hard to understand. Therefore we have created an extensive Big Data glossary that should give some insights. Some of the definitions refer to a corresponding blog post. Of course this big data glossary is not 100% complete, so please let us know if there are missing terminology that you would like to see … [Read more...] about An Extensive Glossary Of Big Data Terminology
ETL – Is it Still Relevant?
Buzz about Big Data has been at fever pitch for over a year now. We hear a lot about how the insights we glean will propel businesses, about emerging technologies, and companies merging. But how often do we hear about the guts behind Big Data, what makes it actually work? Maybe Im wrong, but from what I read, not often enough. So to buck that trend, lets dive into one of the … [Read more...] about ETL – Is it Still Relevant?
