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SQL vs. NoSQL Today: Databases, Differences & When To Use Which

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.

Outputs vs. Outcomes: Understanding the Differences

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.

Citizen Developers: How Citizen Development Works & Reduces Dev Shortages

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.

What Is DPE? Developer Productivity Engineering Explained

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: What It Is & Why It Matters

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.

Head in the Clouds: Data Value and Versatility with Splunk Cloud Platform

Data search and ingestion is cost-effective on the Splunk Cloud Platform. With workload pricing, you can measure the resources or computing capacity needed for different workloads versus the amount of ingested data. Yep, you could say that Splunk Cloud is all that and a bag of chips.

Splunk Wins 24 TrustRadius Top Rated Awards

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!

Performance Indicators: 12 Types of KPIs & When to Use Them

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.

What Is Prompt Engineering? Strategies for Creating Effective AI Inputs

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.