Analytics

influxdata

Visualize Geotemporal Data with InfluxDB Cloud's New Map Graph

We recently introduced a new Map graph type into InfluxDB Cloud to help users visualize time series data that includes position. Above is a graph showing the most recent earthquakes in California, where the color of the marker indicates their magnitude. In this post, I’m going to walk through the ways to ingest geotemporal data into InfluxDB Cloud, and how to use the new Maps visualization type.

keboola

Why you need metadata management and how to approach it

As your data operations evolve, they become messier. Diverse data sources and data models at their sources, multiple movements of data throughout your platform, and cobbled-up infrastructure, which has grown in complexity through every deployment have made it hard to identify, trace, classify, and understand your data assets. This can be as simple as an analyst spending hours trying to figure out where a data attribute in a table came from and whether it is trustworthy.

elastic

Troubleshooting Elasticsearch ILM: Common issues and fixes

Hiya! Our Elasticsearch team is continually improving our index Lifecycle Management (ILM) feature. When I first joined Elastic Support, I quickly got up to speed via our Automate rollover with ILM tutorial. I noticed after helping multiple users set up ILM that escalations mainly emerge from a handful of configuration issues. In the following sections, I’d like to cover frequent tickets, diagnostic flow, and common error recoveries. All commands shown can be run via Kibana’s Dev Tools.

bigquery

BigQuery Admin reference guide: Query processing

BigQuery is capable of some truly impressive feats, be it scanning billions of rows based on a regular expression, joining large tables, or completing complex ETL tasks with just a SQL query. One advantage of BigQuery (and SQL in general), is it’s declarative nature. Your SQL indicates your requirements, but the system is responsible for figuring out how to satisfy that request. However, this approach also has its flaws - namely the problem of understanding intent.

chaossearch

How Log Analytics Powers Cloud Operations, Part II: Use Cases

Cloud computing shapes the ability of enterprises to transform themselves and compete in the 2020s. By renting elastic cloud resources, enterprises can support new customer platforms, distributed workforces, and back-office operations. The cross-functional discipline of CloudOps helps enterprises realize the promise of cloud computing by optimizing applications and infrastructure on cloud platforms.

ThoughtSpot Success Series #9 - Group Design, Privileges & Sharing

Introducing the ThoughtSpot Success Series! Want to expand your knowledge of ThoughtSpot? Want to learn some great tips and tricks? Join ThoughtSpot's Customer Success team and other users like yourself as we discuss various topics in our new Success Series. During this event, we’ll review best practices to implement when creating groups and assigning users to make privilege management easier. In this 1-hr event, you'll learn:
logilica

Free Cycle Time Readout for GitLab Users

To celebrate GitLab’s latest release and GitLab Commit 2021 we offer free cycle time readout of all of your personal and company projects hosted on GitLab.com for a limited time. Use this link and your GitLab credentials to sign into Logilica Insights and we let you know about your software teams cycle time, delivery velocity and much more.