Snowflake is a powerful cloud data warehouse platform that can help businesses of all sizes manage and analyze their data. However, as the volume and complexity of data grows, it can become increasingly challenging to manually manage Snowflake workloads. Snowflake automation can help businesses overcome these challenges in data engineering by automating repetitive tasks and workflows.

Apache Kafka® has become the de-facto standard for streaming data, helping companies deliver exceptional customer experiences, automate operations, and become software. As companies increase their use of real-time data, we have seen the proliferation of Kafka clusters within many enterprises. Often, siloed application and infrastructure teams set up and manage new clusters to solve new use cases as they arise.

REST API is an acronym that stands for Representational State Transfer Application Programming Interface. REST APIs are used to create "web services" in HTTP requests, which provide data between client and server applications. This article will cover some of the basics of REST APIs and will also walk you through making a basic API using Python. Here are the 5 key takeaways from the article.

When considering some of the latest statistics related to Health Insurance Portability and Accountability Act of 1996 (HIPAA) violations and consequences, ensuring compliance is more critical than ever. For example, healthcare data breaches are increasing year-over-year, yet 75% of healthcare organizations say their infrastructure is not prepared to respond to cybersecurity threats effectively. HIPAA is a U.S. federal law.

Reporting tools solve a key problem for businesses by enabling them to communicate data in a way that is accessible, easy-to-understand, and useful for both frontline staff and management teams. These tools take raw data and turn it into tables, charts, and graphs ready for consumption, turning complicated data into visuals that better enable users to spot patterns and trends.

We analyzed 50K+ data points to find the most important Google Analytics metrics. Here are the top 10, plus definitions for each metric and how to find them.

In our previous How to Design a Dashboard in Yellowfin: Part One article, we covered the the fundamental considerations to take when preparing your dataset, creating a concrete design and selecting the best types of data visualizations to represent dashboard data.