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Analytics

Traditional BI vs Self-Service Analytics: What's the Difference?

Data has historically been in the hands of a select few in most businesses - until recently. Business intelligence (BI) solutions have evolved dramatically in the last few years to not only be more sophisticated, but simpler and more accessible for regular professionals to use analytics tools and get the insights they need to make decisions.

13 Skills Needed for any Data Engineer According to ChatGPT

Overview With the increasing use and discussion surrounding ChatGPT and its applications, I decided to test out what it says about important skillsets for data engineers. I conducted a search about both soft and hard skills and here is what it came up with. I have added a lot of commentary to each of the 13 skills identified.

Snowflake Snowpark Explained In Under 2 Minutes

Learn about Snowflake Snowpark. What if there was a way to enable your entire team to collaborate securely on the same data in a single platform that just works, regardless of language? Snowpark is here to help. Supercharge your data team to securely build scalable, optimized pipelines in your language. Quickly and efficiently execute machine learning workflows, with your choice of language, from Python to Scala and more. For more details visit: snowflake.com/snowpark

How to Create a Dashboard in Kibana

Wondering how to create a dashboard in Kibana to visualize and analyze your log data? In this blog post, we’ll provide a step-by-step explanation of how to create a dashboard in Kibana. You’ll learn how to use Kibana to query indexed application and event log data, filter query results to highlight the most critical and actionable information, build Kibana visualizations using your log data, and incorporate those visualizations into a Kibana dashboard.

Countly Receives SOC 2 Type 2 Certification

As a product analytics solution, establishing a strong sense of trust is vital to what we do. It provides the foundation for the relationships we build with our clients, which in turn allows our clients to confidently provide the services they need to their customers. Data privacy and security are both key components of building a level of trust that is essential for both our customers and ourselves as a company.