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Databases

The latest News and Information on Databases and related technologies.

What is the difference between Database, Data Warehouse, and Data Lake?

Data is everywhere in the form of values, text, numbers, pictures and so on that can be stored and used anytime when required. The importance of data and data storage systems has gained recognition since businesses find the potential of big data and its use cases. The data was with us always, but the possibilities to use it effectively were an arduous task.

Modernizing database operations using Google Cloud Anthos and Robin Cloud Native Storage

For CTOs and Platform Engineers looking to modernize database operations using cloud-native technologies. In this webinar, we discuss how you can leverage Google Anthos and Robin Cloud Native Storage to deliver a “database-as-a-service” experience by automating provisioning, data protection, copy data management, and multi-cloud portability. Watch the webinar to learn about: Presenters: Andrew Haschka, APAC Head of App Modernization, Google Ankur Desai, Head of Product, Robin.io

DevOps As a Bludgeon

When I first started trying to figure out how to automate database deployments, over 15 years ago, I will freely admit, I was both skeptical and reluctant. I had to be dragged up to the notion that automating getting the database code out the door wasn’t just an excuse by the developers to find a way to bypass the DBA team. As per the traditional, biased, story, our favorite word was “No!”.

Effective Technical Writing Is Essential for Your Organization's Success

"No one likes documentation", chirped the little blue birds. The bird quotes in the image above are all taken from real tweets and are listed below for accessibility: I can't argue with "liking to write documentation" being a rare skill, since so many people are vocal about disliking it. That tweet might prove to be true, in which case, technical writers should simply be more appreciated for the rare gems that they are. In this blog post, however, I’m going to explain.

Database Cloud Migration Done Right - SolarWinds Lab Episode #95

The global pandemic has accelerated corporate planning for cloud computing and digital transformation by 2-4 years on average. But database migration, the process of moving a database from one place to another, is no walk in the park. Obstacles abound. Setbacks are common.

Manually Add a Metadata Source in SentryOne Document

SentryOne Document supports multiple metadata sources, and we plan to expand available providers in the future. But what if you want to add a metadata source that isn’t currently supported? This is where SentryOne Document’s Custom Metadata Import, available in both the Software and Cloud edition, can help. Leveraging this provider, you can manually insert any metadata source—DB2, REST API, or others.

Three Steps To Get Started With Database DevOps

Once you’ve committed to changing your culture in order to automate your database deployments, what’s next? You’ve already done the hard part, making the decision to shift the culture. Now, what’s involved is just lots of labor. There are three things you can do to begin your Database DevOps journey: Let’s discus these in detail. It’s important to understand, not just why these are your first three steps, but why they should occur in this precise order.

Application-Centric and Database-Centric Monitoring: Why You Need Both

How would you like it if your application shut down or started running slow without any warning? Let’s say, for instance, users who like your application try to access it, but aren’t able to. How would you know whether low traffic to your site is because users weren’t satisfied or because they simply weren’t able to access it? Users definitely won’t be satisfied when your application starts crawling with long response times.

What if You Could Autonomously Monitor Across Your Databases?

When DevOps teams talk about monitoring a database, the primary motivation is to ensure that the database won’t suffer a performance hiccup. Long queries, timeouts and table scans are among the most popular causes behind lousy customer experience. However, in recent years, more data has been shifted to cloud databases.