Oracle technologists explain the cloud computing implementation as it relates to database as a service (DBaaS). Cloud computing encompasses the IT infrastructure resources, which include networks, storage, servers, applications, and services. DBaaS is a subset of the overall cloud concept, specifically focused on the last two resources, applications and services.

The job of a DBA requires a fusion of skill and knowledge. To acquire this requires a craftsman mindset. Craftsmen find that the better they get at the work, the more enjoyable the work gets, and the more successful they become. Deliberate practice, Specialization and an appetite for overcoming difficulty are good habits to deliberately adopt to successfully grow those craftsmanlike skills to the point that you become “so good they can’t ignore you”.

There aren't many frameworks for writing acceptance tests for databases, including SQL Server. FitNesse is an obvious choice since it is designed with a Wiki-style interface that, once it is configured and set up correctly, makes it very easy for a non-specialist to set up individual tests.

Database testing is one of the areas that might have the smaller number of open source tools. The programming languages have many xUnit tools and mocking frameworks, but this is not the case for databases. This article provides a list of open source tools that can be used to perform unit, load and security testing on several relational and NoSQL databases.

The current times are deeply impacted by social, mobile and complementary technologies in multiple ways. This article is to showcase and highlighted some potential use case and user scenarios where B2C and B2B marketers and pioneers of IoT could use data from previously overlooked sources and pull information in great details to influence buying and possibly many other user behaviors, touching upon the technical aspects of the business, data and information. This article is a recommended source of guidance for building a framework for the enterprises in the B2C and B2B space, helping them lay down tiered Big Data reference architecture for capitalizing on the power and potential of Big Data while keeping a sharp focus on security and governance. This article is a recommended read for architects and IT leaders who are on the verge of taking the Big Data plunge. There are so many things that you can re-do in the world of IT, but you just get limited chances, time and bandwidth to build good architecture; this article shall enable IT decision makers to build the Big Data architecture itself "right the first time."

Deployability is now a first class concern for databases, so why isn’t it as easy as it should be? This article explores seven of the most common challenges which will bring your database deployments to their knees, and the steps you can take to avoid them.

Although it is possible to provide good service to small to medium companies as a DBA without putting in place systems and processes to manage the workload and the demands of teamwork, it isn't so in the larger enterprise. As well as standardizing and documenting, the enterprise DBA needs to centralize the management of systems.

All DBAs need to engage in a little project management to help make sure everything runs smoothly. This article explains a system for managing workload, colleagues, and projects, and how not to be just "the guy who says no".

draws a comparison between two approaches to ORM-centric database development. One is based on the Python SQLAlchemy ORM tools, and the other uses standard Java JPA. Which is better? The result of comparing a simple use case for both languages is quite surprising.

The various ways in which SOA design principles can be synergized with Big Data are explored. Complex event processing, Apache Hadoop metadata management, scalable Infrastructure-as-a-Service (IaaS), and front-end analytics are among the methods that can render Big Data-as-a-Service (BDaaS).