If you want to have more flexibility and fine-grained access control to the dashDB system, you can create and use your own user-defined user roles to accommodate the special needs of your organization. This post explains what the built-in user roles can do and how to create your own user-defined user roles in dashDB.
When we announced general availability of our flagship IBM dashDB data warehousing and analytics service in the cloud last year at the IBM Insight conference, we promised to the audience that we will not just make it the most easy to use analytic tool in the cloud, but also we will continuously add features and functionalities that add value to business users, data developer and data scientists. Since then we have introduced several new analytic models including k-means clustering and decision tree analysis. We have also been listening closely to hundreds of our dashDB customers and thousands of our community developers on what they like and what they like to have in the service. Data engineers want to see data set free so they can develop cool applications using the corporate data. More...
Looking to the cloud for your data warehouse needs but want to continue leveraging your existing Oracle application or SQL skills? dashDB is your answer. Built on IBM's BLU in-memory technology coupled with Netezza's in-database analytics, dashDB is a fully-managed cloud-based data warehouse service. With its built-in SQL compatibility features, you'll get your application running on dashDB in these 5 easy steps.
So you’ve heard the buzz about dashDB, and you’re ready to try out this amazing new cloud database offering from IBM. You signed up, got your brand new dashDB account, and you went ahead and created a database to hold your data. The next step is obvious: you need to get the data loaded. But how?
When you buy a house, what are the 3 top most things to look for? The answer is LOCATION, LOCATION, and LOCATION! When you open a business, you want to avoid traffic hotspots and accident hotspots. You want to explore nearby places and know navigation information about streets and intersections. You’ll also want to know information like where is the nearest airport. Who can answer all these questions? The dashDB functions for spatial analysis!
Notebooks are great for doing exploratory analytics iteratively over large and complex data sets. The emphasis here is on iterative exploration -- letting you construct and run queries interactively over and over, building on previous queries and their results, until the exploration yields the insights you are after. Good news for dashDB users is that you too can now easily leverage the power of IPython or Jupyter notebooks to hack data in your warehouse interactively.
Get up and running in no time with IBM dashDB in the IBM Bluemix cloud platform. Load data from a CSV or XLS file, and use the R capabilities to analyze and chart your data.
dashDB recently added MPP scale out capabilities, which means that it is no longer constrained by single server capacity and can provide truly massive warehousing capacity through clustering. It also delivers the promised “BLU Acceleration” at MPP scale because it is built on top of IBM’s BLU Acceleration in-memory column store technology, actually extending its BLU technology into a true MPP column store.
IBM dashDB™ Enterprise MPP is a high performance, massively scalable cloud data warehouse service, fully managed by IBM. dashDB™ MPP enables simple and speedy information management, analytics and business intelligence operations in the cloud. One of its key features is making data small in size - with state-of-the-art compression technology, dashDB™ MPP can deliver an impressive storage saving to maximize both business value as well as query performance. More...