When performing searches, Splunk uses its own language, SPL (Search Processing Language). In this article, we will explain each type of SPL and show you the efficient order in which to run searches and how to use the Search Job Inspector, an investigative tool.

Learn how BI transforms raw data into actionable insights to drive decisions, boost efficiency, and enhance ROI.

Understand time series forecasting — a way to or predict behaviors based on historical, timestamped data — with anomaly detection to prevent IT problems.

Don’t be confused! Data science and data analytics are different concepts. Learn all about it here, so you’ll know exactly how they can work together.

Discover ITIL Problem Management: Learn how to reduce incidents, improve service, and boost IT maturity with proactive problem-solving strategies.

Data analysis is important, but how do you get started? These top techniques, used by professional data analysts, will help you get the most value out of your data.

Who doesn’t love a bit of anomaly detection with Splunk? As someone who has spent far too long talking about cyclical statistical forecasts and anomalies, you’ll be relieved that this is a topic that we don’t get tired of here at Splunk! In this blog post we will be taking you through some of the recent changes to the Machine Learning Toolkit, where we have released a more scalable version of our users most favorite algorithm.

Protect your website with essential security tips and best practices. Learn how to defend against cyber threats, safeguard data, and build customer trust.

Splunk AppDynamics, now part of the Splunk Observability portfolio, provides critical observability for traditional 3-tier/n-tier applications and helps IT Operations teams quickly discover root causes of issues before end-users even notice.