If you’ve ever lived DataOps, you’ll know that it’s a challenge at the best of times. A day in the life of a typical data engineering team involves securing, releasing, debugging and stabilising complex and oftentimes fragile data pipelines. These pipelines can involve many source applications and intermediaries, and troubleshooting them under management pressure when it’s all going wrong is stressful.
One of the best things about getting started with InfluxDB over traditional relational databases is the fact that you don’t need to pre-define your schema in order to write data. This means you can create a bucket and write data in seconds, which can be pretty powerful to developers who care way more about the application they’re building than the mechanics of storing the data.
This post was written by James Hickey. Scroll below for full bio and picture following this article. Time series databases (TSDBs) can transform the way you handle streams of data in real time or IoT applications. In this tutorial, you’ll learn how to set one up in a C# application. Relational databases have their place. They’re great at things like data normalization, avoiding duplication, indexing over specific data points (like columns), and handling atomic changes to the schema.
In 2020, the gaming market generated over 177 billion dollars, marking an astounding 23% growth from 2019. While it may be incredible how much revenue the industry develops, what’s more impressive is the massive amount of data generated by today’s games. There are more than 2 billion gamers globally, generating over 50 terabytes of data each day.
Directly embedding passwords and API keys into the code you write is a bad practice. Of course, everyone knows this, but I’ll be the first to admit that it still happens now and then. In the world of source control and shared codebases, leaking a password can be a huge problem that costs your team time and money. Of course, today many companies leverage a secrets management system to lower the probability of something like this happening.
So you’re interested in time series databases, and you decided to explore InfluxDB Cloud or InfluxDB v2. Perhaps you just created a free account or downloaded the binary, and now you’re playing around with the InfluxDB User Interface (UI) and learning Flux. The hardest thing for beginners to understand are the return results from a Flux query or Annotated CSV.
