DataOps – Developing Processes for Analytics and Data Management

By | Blog, Uncategorized
Big data and analytics mean big things for industries across all sectors. As data continues to grow, so do the applications. The newest challenge is streamlining the analytics process to improve efficiency and create actionable insights in a timely manner. That is where DataOps comes in. This newest development utilizes concepts learned from DevOps practices to simplify and streamline the data pipeline and analytics process. Let’s take a look at how this works. The Science of Analytics The analysis of big data is a complicated process of pattern recognition using statistical tools and algorithms. Your data scientists, engineers, and analysts may all play some part in this role. Managing the analytics process from an operational standpoint, as well as a statistical standpoint, can be time-consuming. If you want to have real, useable insights from your data it is imperative to validate both input and output data. It’s taxing to your analysts and means longer lead times on identifying key insights. But these steps are there for a reason, right? You can’t skip vital processes just because they’re lengthy. But you can innovate those processes and improve their efficiency. The development world has been working on this for a while with (more…)
Data Migration Support

Containers are In – Azure Can Help

By | Azure, Blog, Uncategorized
Application development and deployment has come a long way in recent years. The introduction of containers opens the door for more lightweight, portable, scalable development. Add to that the capabilities of Kubernetes clusters and you get a new level of efficiency when managing application development, testing, and deployment. If your team is actively using Linux containers and Kubernetes clusters, it’s important to make sure your database products are supporting your efforts. Microsoft Azure has been helping its clients utilize and manage containers with Azure Container Service (ACS), now taking it a step further with the development of Azure Kubernetes Service (AKS). Why Containers? Containers have tons of benefits for API development. They are basically self-contained instances that run natively on your OS, maintaining configuration settings across multiple platforms. Imagine your developers working on an API on their laptop, which has one set of configurations, and then sending to another developer for review. Will the other environment behave exactly the same way? Impossible to know. With virtualization, you can eliminate these issues, but this is taxing on your system. Containers are lightweight so that you can run multiple containers on your machine without experiencing performance issues. Remember, these are running natively, (more…)