Analytics

8 Best Self-Service Analytics Tools to Unburden Data Engineers and IT Pros

Looking to take the load off your data engineers and IT pros? And help business users create and analyze datasets on their own? You’re in the right place. In this article, we’ll review the best self-service analytics solutions on the market today: We'll look at the main features of each tool, its pros and cons, its best use cases, and user reviews to help you make the right choice. Before we delve into each one, let’s set the tone of what to expect from a good service analytics tool.

10 Best DataOps Tools for Teams That Need to Scale Fast (Free & Paid)

Bugged down by another data quality issue? Jumping on yet another meeting with data analytics to figure out how to add a dataset into your main data processing workflow? Are your fingers itching to try a new tool but you’re unsure how it will play with your data stack? When you spend more time putting out fires rather than engineering new features, it’s time to find a tool that automates your workflows.

Top 4 Challenges to Scaling Snowflake for AI

Organizations are transforming their industries through the power of data analytics and AI. A recent McKinsey survey finds that 75% expect generative AI (GenAI) to “cause significant or disruptive change in the nature of their industry’s competition in the next three years.” AI enables businesses to launch innovative new products, gain insights into their business, and boost profitability through technologies that help them outperform competitors.

Announcing Unravel for Snowflake: Faster Time to Business Value in the Data Cloud

Snowflake’s data cloud has expanded to become a top choice among organizations looking to leverage data and AI—including large language models (LLMs) and other types of generative AI—to deliver innovative new products to end users and customers. However, the democratization of AI often leads to inefficient usage that results in a cost explosion and decreases the business value of Snowflake. The inefficient usage of Snowflake can occur at various levels.

Polyglot Architecture | Microservices 101

Polyglot Architecture is a feature of microservices that allows each microservice to be built using a different technology stack. This approach provides developers the freedom to select the best tools for the job and allows them to be more creative with their solutions. However, like with any powerful tool, it can have negative consequences if it isn't used properly. CHAPTERS.

Yellowfin 9.10 Release Highlights

With updates to our browser user interface (UI), Stories, report navigation and more, Yellowfin 9.10 is an update that further enhances your users' analytics experience. 9.10 brings significant updates. Browse Page UI has received a sleek makeover, simplifying navigation for reports, dashboards, and presentations, catering to both new and experienced users.

How to Create The Best Website Structure for SEO in 2023 (20+ Tips)

You can’t rank well in Google if its crawlers are unable to access your website. Sure, 404 errors and internal links have a part to play in how Google spiders find their way around your site. But we wanted to find out how big of an impact your site structure on SEO. And, if so, how you can optimize your website to make it easier for Google (and your users!) to navigate. So in this guide, we cover.

Snowflake Customers Rank Cost-Effectiveness and Ease-of-Use as Top Benefits in New KLAS Research Report

See why Snowflake’s healthcare customers rate the Data Cloud high in performance and cost savings. Each year, KLAS Research interviews thousands of healthcare professionals about the IT solutions and services their organizations use. Since 1996, the analyst firm has been leading the healthcare IT (HIT) industry in providing accurate, honest and impartial insights about vendor solutions and customer satisfaction metrics.

The Art of Data Wrangling in 2024: Techniques and Trends

Navigating the complex world of data, businesses often grapple with raw, unstructured information; this is where data wrangling steps in, turning chaos into clarity. Seamlessly intertwined with ETL processes, data wrangling meticulously refines and prepares data, ensuring it's not just ready but optimized for insightful analysis and decision-making.