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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.

Spark Performance Monitoring using Graphite and Grafana

In this article, we will explore what Apache Spark is, what key metrics you need to track to keep it running, and how to set up a metrics tracking process. We will also cover monitoring tools such as Graphite and Grafana, which make the process of monitoring metrics very easy, as well as how using MetricFire can make running your monitoring exponentially easier. Check out MetricFire for free or book a demo with our team and learn more about all the benefits of using MetricFire solutions.

Data-Driven Enterprise (or Just Talking Like One)?

Who’s faking it? Data-driven decision-making (and ensuring related investment is delivering on its promises) has been elevated in importance. Every enterprise is replacing opinion with data-driven decision-making, correct? A brand new research report from EMA (Enterprise Management Associates) titled, “A Data-Driven Enterprise” looks behind the curtain to separate facts and reality from fiction and aspiration. Here are some of the findings from the latest research on enterprises.