SQL-on-Hadoop is a hot topic. As organizations increasingly leverage Hadoop to gain new capabilities and lower costs, it only makes sense that they would seek to leverage technologies compatible with what they have. Few technologies are as ubiquitous as the structured query language when it comes
In the world of big data, the elephant is king. Hadoop, whose elephant logo has become the face of big data, has been joined in the big data jungle by many friends: Pig, Jaql and even a ZooKeeper to keep them all in line. The entire big data jungle will be making a trip to Las Vegas in October for
Data science has been called the “sexiest job of the 21st century,” and based on the posts you have been devouring on IBM Big Data & Analytics Hub, the old adage “sex sells” definitely applies. Three of the most popular blogs from the first half of 2014 are about data scientists, and three more
In the rapidly evolving SQL-on-Hadoop space, IBM’s Big SQL 3.0 moves the industry forward through its contributions in improving query performance and workload management, while maintaining compatibility with open source Hive and SQL standard. This blog gets under the hood to explain how Big SQL 3.
SQL-on-Hadoop offerings, such as IBM InfoSphere BigInsights with Big SQL, can help IT departments leverage their existing expertise to move into the big data world. A new Big SQL technology preview is available so you can try it out for yourself.
IBM® InfoSphere BigInsights upcoming release includes Big SQL 3.0, bringing performance, security and improved ROI to Hadoop projects. This is an important leap forward to seamlessly transitioning analytic applications from relational database management systems (RDBMS) to Hadoop distributions. In
If your new year resolutions include getting more familiar with big data and honing your skills, here’s a quick, easy-to-scan glimpse of some highlights you might have missed during your holiday celebrating. Think of these resources as items on the grab-and-go aisle in the café. Add a latte and get
Quick. Name one difference between data and big data. It’s bigger, of course, and it comes in faster, in more shapes and sizes. Sometimes it’s hard to sort the trustworthy from the noise. For a big data developer, the trick is to find tools and technologies that can be applied to traditional
Big data technologies like Hadoop are providing enterprises a cost-effective way to store and analyze data. Enterprises are looking at using Hadoop to augment their traditional data warehouse. Compared to traditional data warehouse solutions, Hadoop can scale using commodity hardware and can be
Many people want SQL, the query language of the past two decades, to work on Hadoop. Derrick Harris of GigaOM outlined the approaches of 13 different vendors with their cleverly named projects in his Feb 2013 article. Recently, Information Week’s special coverage series on big data included an
Hadoop is fundamental to the future of big data. Users are adopting Hadoop for strategic roles in their current data warehousing architectures, such as extract/transform/load (ETL), data staging and preprocessing of unstructured content. Hadoop is also a key technology in next-generation massively
One of the recurring themes at yesterday’s “Big Data at the Speed of Business” launch was comsumability, which is just a fancy word for ease of use. Let’s face it, Hadoop can be hard; big data can be complicated, and there’s certainly a learning curve involved in being able to leverage most big
I tuned into the recent US federal government’s web-cast. I was curious to see what a government big data initiative would look like, as my government (UK) is unlikely to produce anything equivalent any time soon. They and their opponents are too busy trying to prove that they’re not entirely
2011 finished with the European leg of the 2011 Global Netezza Roadshow. We shared product updates, customer case studies and just got together with our community in Paris, London, Milan and Frankfurt. A year ago I wrote about a great restaurant in Milan that I visited when I was there for the