We are happy to announce that our blog made Feedspot’s list of top blogs and websites for DBAs! Check out the full list via the link below, and check back often for more DBA tips and best practices on the RDX blog.
If you couldn’t attend April’s RDX Insights webinar, Evaluating and Selecting a Cloud DBMS Architecture, you can check out the recording below!
We hope you can join us next month for a Business Intelligence Overview. If you’re interested in being added to our webinar invite list, please email firstname.lastname@example.org.
My previous blog post was about the SSIS Lookup task and how it really works. Now that I have shown that the Lookup task shouldn’t be used for one-to-many or many-to-many joins, let’s take a look at the Merge Join transformation task. If you follow along with this blog, you will learn a little tip that will eliminate the requirement for you to add a SORT transformation task within your data flow task.
Circa 1988. I entered the technology space, writing SAS/JCL on an IBM 3270 for the Federal Government. There was something missing though. Countless merges, duplicate data filtering and large data sets all seemed like a horrible waste of resources and, more importantly, time. Not only that, SAS user guides filled my entire cubicle, making it nearly impossible to evolve the skill set quickly.
Process automation, because of its wide range of application, takes many forms. Manufacturing companies have been using industrial robots to replace activities traditionally performed by humans for some time. Business process automation shares the same goal: to replace business functions performed by humans with software applications. Work activities that are repetitive in nature and require little intelligent analysis and decision making to complete are prime candidates for process automation.
In the final installment of our 2017 Database Trends analysis series, we evaluate the database community’s rising interest in open source database offerings. We discuss the impact these upstart competitors will have on the industry heavyweights that include Oracle, Microsoft and IBM.
In this third installment of our 2017 Database Trends analysis series, we focus our attention on the emergence of multi-model database management systems. We examine the impact the larger database vendors will have on their smaller, NoSQL competitors. In addition, we also discuss the premise that the vendor with the best technology doesn’t always win the battle for market share – or even survive as a viable competitor in some cases.
In this second article of our 2017 Database Trends series, we analyze Microsoft’s SQL Server on Linux offering. We evaluate the impact the new offering will have on the database market arena and, more specifically, what the consequences will be for the Microsoft vs Oracle war for DBMS market dominance.
The database market landscape no longer consists of a handful of traditional database vendor offerings. The database market arena has exploded with dozens of new database offerings and architectures from organizations that range the spectrum. Competition from super-sized, nontraditional database vendors, open source offerings and startups are feeding the rapid escalation of advancements in database technologies.