Analysts, leaders, and other business professionals often see statistical modeling and advanced analytics as confusing and complex. In fact, many will not even attempt to understand them. They see data science as something beyond their grasp -- a world for...
Future businesses will be defined by new efficiencies, strategies, and business models created with data-driven knowledge. If companies wish to maintain traditional on-premises ERP solutions, they will face costs and compromises. For the rest of the article, please see link....
Many shops experience database spread -- the existence of far too many databases, often with redundant data, and often for very discrete needs. In these shops, databases are often built relatively quickly to expedite projects and applications. Once this is...
One fact circulated last month at Teradata Partners was that 90 percent of Teradata customers believe they will be on some form of hybrid cloud by 2020 and 40 percent of workloads will be run there. Teradata certainly believes this; it...
Teradata Partners held their annual conference this week in Atlanta. This is always a great event for me, full of learning and thought-generation as well as Teradata updates. Teradata President and CEO (since June) Victor Lund was part of the gala kickoff...
When it comes to data consistency, most relational databases give you one choice. RDBMSs deploy a highly consistent model in real-time, which ensures data accuracy to 100 percent of the users. John will not be looking at a record that...
In my last Upside article, I discussed a function of NoSQL databases that made them unique and offered options that relational databases cannot. That function was tunable consistency, and I used Cassandra as the example. Today, I will continue...
If you are choosing a platform for a workload, you might consider a graph database if you would describe that workload with any of these words: network, graph, hierarchy, tree, structure, or path. Graph databases are one of the fastest growing...
Many organizations are transitioning, or attempting to transition, to agile methods for data project delivery. This is sometimes easier said than done, as there are many ramifications for your team and your process. Agile methods require breaking projects down into small...
If your company is standing up Hadoop, you'll want to get the most out of its rich data. This process doesn't end with the first user group or first user. As with data warehouses, the users will eventually form into...