Big data has a problem: it is being abused. One of the biggest misconceptions is that big data is about archiving everything forever, buying the biggest, cheapest storage pool, and building a giant proverbial barn of hay in order to try to find needles. Vendor marketing has abused this. Consider marketing that advises that you […]
Month: March 2015
Can Hadoop Replace a Data Warehouse?
By Philip Russom Recently, I interviewed about 20 users of different types for the upcoming TDWI Best Practices Report on Hadoop for the enterprise. The users I spoke with ranged from seasoned data warehouse professionals to professionals who are better described as application developers who have limited data experience. Given the diversity of users (who […]
Google Open Sources MapReduce Framework for C to Run Native Code in Hadoop
Google announced last week the release of open source MapReduce framework for C, called MR4C, that allows developers to run native code in Hadoop framework. MR4C framework brings together the performance and flexibility of natively developed algorithms with the scalability and throughput provided by Hadoop execution framework. The goal of the project is to abstract […]