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Pivoting InfluxDB Series Data into Relational Layouts

Most developers are more familiar with the shape of relational data than the shape of time series data. InfluxDB stores time series data in such a way to maximize its effectiveness. As developers get more familiar with time series data, it may be helpful to view time series data in a relational layout. Fortunately, Flux language makes it easy to present your time series data the way that's useful for you.

TL;DR InfluxDB Tech Tips: Converting InfluxQL Queries to Flux Queries

If you’re a 1.x user of InfluxDB, you’re most likely more familiar with InfluxQL than you are with Flux. To gain a deep understanding of Flux, it’s important to understand: However, you can still use Flux without studying those topics. In this TL;DR, we’ll convert common InfluxQL queries into Flux and identify patterns between the two languages to help you get started using Flux more easily if you come from a InfluxQL or SQL background.

Building Your Security Analytics Use Cases

It’s time again for another meeting with senior leadership. You know that they will ask you the hard questions, like “how do you know that your detection and response times are ‘good enough’?” You think you’re doing a good job securing the organization. You haven’t had a security incident yet. At the same time, you also know that you have no way to prove your approach to security is working. You’re reading your threat intelligence feeds.