What makes now the right time to learn about graph databases? When the connections between data elements are as important as the elements themselves, you need a new way to handle your data.
- By David Loshin
- July 25, 2016
Organizational needs are changing, and data professionals are rethinking what they really need from an analytics database. With a whole new group of leading NoSQL databases, there are alternatives for storing and managing data.
- By Troy Hiltbrand
- July 19, 2016
Tunable consistency is one of the many points of differentiation between SQL and NoSQL databases. This article explains this important parameter and the tunable consistency options Cassandra provides.
- By William McKnight
- July 18, 2016
With cloud applications becoming the de facto standard delivery model, how can we derive benefits from the data growth in the cloud?
This spring, Teradata announced its hybrid cloud architecture capabilities. This architectural opportunity makes the leap to leveraging cloud-based data warehousing a smaller jump.
- By Jake Dolezal
- July 15, 2016
Advice to help you think about search and taxonomies, understand the reasons big data projects are slow to create real value, and navigate the many choices in the big data ecosystem.
- By Quint Turner
- July 11, 2016
If any workload can make the most out of lots of processing power and RAM, it's SAP's HANA, an in-memory database. Will HANA's performance characteristics translate to a cloud VM?
- By Steve Swoyer
- July 7, 2016
Keep these five considerations at the forefront of your planning and you'll be able to eke out every ounce of performance possible from your Hadoop cluster in the cloud.
- By Sachin Sinha
- July 7, 2016