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Data Warehouse vs Database: Comparing Common Data Storage

Knowing the differences between data warehouses and databases can clear up a lot of confusion for many people, especially with the volume of data we have these days. In this blog post, I'll discuss the differences between these two types of data systems. I'll also provide some examples to help illustrate the points we make. Let's get started! (This article was written by Austin Chia.)

Data can help Europe navigate through turbulent times

One of the reasons I joined Splunk six months ago was because I am convinced that data has the potential to solve some of the biggest challenges society faces. It’s safe to say that Europe faces a number of challenges at the moment. The legacy of Covid-19 and the geo-political situation in the region has had a significant impact both economically and on society as a whole. Climate change remains a major concern after a year marked by drought and extreme temperatures.

What Is Splunk & What Does It Do? An Introduction To Splunk

Hi! We’re Splunk, and we’re glad you’re visiting us today. Honestly, we hear from people far and wide about “What does Splunk do?”, “Does the name Splunk mean something?” And of course, “How can I learn Splunk?” I wrote this article to help answer all these questions for you and point you towards whatever question you want answered.

Dashboard Design: Visualization Choices and Configurations

There are many visualization types and configurations available to choose from. In general, keep your visualizations as simple and straightforward as possible to avoid distraction and highlight only the most important information. If there is too much unnecessary information on the page it can be overwhelming and focus can be misdirected to unimportant details.

Data Quality Explained: Why Quality Is Critical to Using Your Data

Much like wine (😉), having data doesn’t mean you have quality data. Today it's easier than ever to get data on almost anything. But that doesn’t mean that data is inherently good data, let alone information or knowledge that you can use. In many cases, bad data can be worse than no data, and it can easily lead to false conclusions. So, how do you know that your data is reliable and productive? This is what we call data quality.

OpenTelemetry, Auto-Instrumentation and Splunk Observability Cloud: A Jump Start

Have you been meaning to learn about OpenTelemetry and the integration of all available application and service telemetry? If you like to learn things by doing; get ready to dive in and have some fun with OpenTelemetry and Splunk Observability Cloud. Quickly learn more about OpenTelemetry auto-instrumentation and collectors at your own pace with these walkthroughs and guides.

High Five! Splunk Honored With Five TrustRadius Best Software Awards

Customers have spoken, and we’re feeling the love. Splunk has just been honored with no fewer than five “Best Software” Awards from TrustRadius! Based exclusively on customer reviews, Splunk Enterprise Security (ES) took home the top spot in three categories: Best Software for Enterprise, Best Software for Mid-Sized Businesses, and Best Software for Small Businesses.

IDC Report: A Best Practice Blueprint from Customers on Successful Cloud Migration

The events over the past two and a half years have radically changed the world. Digital transformation initiatives went from being a priority to an urgent imperative. Enterprises that had not already migrated data to the cloud rushed to do so during the pandemic, and others accelerated their on-premise-to-cloud shifts. Hybrid and multi-cloud environments become the new reality for many organizations who want to get the most out of their on-premises and cloud investments.

Customers Demand Interoperability and Open Standards Are the Key

When I speak with customers, especially chief information security officers (CISOs), one of their most consistent requests is that they want interoperability. They want the software they buy to work with the software they have and plan to buy in the future. Nearly every organization, certainly every enterprise company, has an installed base of hardware and software representing a significant investment in time and money.

Data Normalization Explained: How To Normalize Data

Virtually every business utilizes some form of data collection, no matter how big or small. While large-scale enterprises have more established methods for collecting, storing and analyzing data, smaller companies and start-ups are also beginning to understand the value of data collection and analysis in order to: This is especially true in the age of Big Data and democratized data — where we have more data-driven insights available to us than ever.