Click to learn more about author Joe deBuzna. As its name suggests, Change Data Capture (CDC) techniques are used to identify changes. CDC can be the basis to synchronize another system with the same incremental changes, or to store an audit trail of changes. The audit trail may subsequently be used for other uses e.g. to update a […]
ScyllaDB NoSQL Breakthrough Slashes the Costs of Big Data Applications
According to a recent press release, “Today ScyllaDB announced the availability of Workload Prioritization, an industry-first feature that enables developers to run different kinds of workloads at the same time, on the same NoSQL database cluster. ScyllaDB’s latest innovation promises to cut database hardware spend by up to 50%. Workload Prioritization does this by eliminating […]
Kubernetes: An Essential StatefulSet Application
Click to learn more about author Surya Nekkanti. In this article, I will explain what is required and how to deploy database applications using Kubernetes. In the early days of the internet, if you wanted to launch an application, you had to buy or rent hardware, get the software from the vendor through a floppy […]
Why Your Disaster Recovery and Security Plans Should Include Digitizing Your Paper Records
Click to learn more about author Alex Fielding. There exists a notion today that the world is well on its way to becoming paperless. But that is more wishful thinking than reality. It is true that some paper use, such as printing magazines, is on the wane. But in the corporate world, the use of […]
Handling Complex Data Storage with Blockchain and the Cloud
Blockchain technology, a distributed and secure database system, has been making significant advances since it first started gaining popularity a few years ago. It started out in the cryptocurrency world, but is also finding considerable usage in banking and finance, as well as asset settlement. But, can blockchain also be used for other use cases […]
R Should Be Your Second Language – or Maybe 1.5
Click to learn more about author Steve Miller. A few weeks ago, I came across a LinkedIn blog entitled “R Should Be Your Second Language (If It’s Not Your First)” by Paul Allison. Paul’s an old grad school friend/colleague from many years ago who went on to a distinguished academic career as professor at the […]
Webinar: How to Handle NoSQL with a Relational Database
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar It can be difficult to scale out relational databases and provide more schema flexibility, thus the rise of NoSQL. However, you shouldn’t have to sacrifice data integrity and transactions in order to scale out on commodity hardware […]
Slides: How to Handle NoSQL with a Relational Database
How to Handle NoSQL with a Relational Database from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> This webinar was sponsored by: About the Webinar It can be difficult to scale out relational databases and provide more schema flexibility, thus the rise of NoSQL. However, you shouldn’t have to sacrifice data […]
Building Confidence in Test Automation
Click to learn more about author Drew Horn. This is part two of a three-part series on introducing and building test automation into your application development and deployment pipeline. In part one of this three-part series, we covered the first steps of introducing automated testing into your software development lifecycle. Now that you’ve worked on […]
In-Memory Database Architecture: An Overview
In-memory databases work faster than databases with disk storage. This is because they use “internal” optimization algorithms, which are simpler and faster, and this type of system requires fewer CPU instructions than a disk storage system. Additionally, accessing data that has been stored “in-memory” eliminates the need for seek time while searching for data. As […]