There’s a new term on the technology block: Applied Observability. Gartner estimates that 70% of organizations will successfully adopt applied observability capabilities in coming years. The most common use cases of applied observability will include: But exactly what is applied observability? We’ve got the answers and more here for you to get a full understanding. Read on!

Today, everyone wants data to drive decision-making. Product analytics has emerged as a crucial tool for businesses to optimize their products and create exceptional customer experiences. In fact, 64% of respondents in one survey have achieved their goals through product analytics. But what exactly is product analytics, and how can it benefit your organization?

Data dictionaries are an invaluable tool for any data-driven organization, but they can often seem like a complex and daunting task to build. Not only do you need to understand the definition of a data dictionary — you also have to know its components, benefits and how to create one. In this article, we'll cover everything about data dictionaries — from beginning to end — so that you'll have a good foundation of what a data dictionary is for. Read on for a detailed guide!

The past few years have seen an incredible rise in cloud computing. Organizations embrace the cloud to address the challenges of an uncertain economy, an increasingly distributed workforce and the pressure to deliver a better employee and customer experience. Gartner experts forecast almost $600 billion in worldwide public cloud spend in 2023. The cloud is no longer an option: nearly 9 out of every 10 IT leaders said it was a “cornerstone” of their digital strategy.

A little over two years ago, Splunk announced a revolutionary feature that would simplify the life of Splunk Cloud administrators by providing APIs that enable self-management and self-administration of Splunk Cloud Stacks. No more waiting for support tickets to be written, emailed, prioritized and then executed.

By 2025, more than 180 zettabytes of data will have been created and captured around the globe. With the influx of data in this digitized world, the process of data aggregation has become an essential tool for businesses. It’s a way to take large amounts of separate data from different sources and combine them into one collective body.

SQL and NoSQL are two database technologies widely adopted by many organizations for different use cases. Both technologies share the common goal of efficiently processing and managing data. Still, there are some significant differences. This article compares SQL and NoSQL, exploring their key differences in terms of language, structure, scalability, properties and support. We’ll also discuss examples, pros and cons and the most suitable application areas for each database type.

In both business and project management, two concepts that you need to pay attention to are the outputs and the outcomes. These help you to measure not only the result — but the impact as well. The two measurements go hand-in-hand, but many people focus on only the outputs, missing the bigger picture from the outcomes.

Business applications can be a powerful tool and streamline almost any business process. As a result, many companies and their team members are requesting mobile apps to reduce costs and enhance efficiency. The problem? There aren’t enough developers to build these apps for them. In fact, more than a third of respondents in a recent survey said that recruiting developers will continue to be challenging in 2023.

In the digital-first business world, developers are under immense pressure to deliver high-quality software in record time. In one survey, 46% of developers reported expectations to build and deploy software faster than pre-COVID. Locked between higher expectations and stalling IT budgets, many developers struggle to keep up with demand. In fact, one study found that 83% of developers were suffering from burnout.

Data integrity is becoming increasingly important as business data competencies mature. From companies leveraging data to drive business decisions to individuals relying on secure data storage — it's clear that having trust in the accuracy and consistency of your data is essential. With the rise of applications using data for business analysis, there's a greater emphasis on having strong data integrity. Therefore, it's critical to understand what data integrity is and why it matters.

We're thrilled to announce that our customers are once again showing us big love! Splunk has earned twenty-four 2023 Top Rated Awards from TrustRadius. The Top Rated Awards show that we've provided excellent customer satisfaction, proving our credibility and helping buyers make confident technology decisions. These special recognitions are based entirely on reviews and customer sentiment; there is no paid placement or analyst opinion. It's a big (double-dozen) deal!

Indicators can be a powerful tool to measure the success of a business. With the right mix of indicators, you can uncover valuable insights and track progress toward goals. However, knowing which indicators to use and when to use them for the right purpose is crucial to measuring success accurately! In this article we'll explore 12 types of performance indicators, when they should be used and how to use them to measure success. Curious to learn more? I'll share more details below.

Poorly designed infrastructure leaves your applications and networks vulnerable to cyberattacks and data breaches. This puts the company at significant risk: the average cost of a data breach reached a record high $4.35 million in 2022. This is where companies bring in platform engineers. A platform engineer is a professional who ensures that security protocols and best practices are in place to protect against potential security threats.

The release of ChatGPT in November of 2022 elicited excitement from all corners of the internet. It could write code, diagnose patients, ace exams, write books and more — all in a matter of seconds. Yet, many people were left underwhelmed by the results. Inputting “write a blog post about…” resulted in bland and formulaic articles no one wanted to read. The AI doomers could breathe a sigh of relief as it became apparent AI wasn’t coming for tech jobs any time soon.

Before the internet, how did trends happen? If no one documented trends, were there trends? Today’s trends go from on-screen to IRL in a split second, as influencers, international brands and regular people like you and me all meet on social media to see the next cutting edge. For over twenty years, one person was closely tied to the concept of internet trends: Mary Meeker.

Understanding the difference between data governance and data management is paramount in any setting where you’re managing (and monetizing) data. The short answer is this: Let’s dive into these concepts in greater detail.