Understand how data goes from its raw form to actionable insights.

Learn to use Python and R to create visualizations and better understand your data.

Cloud data warehouses are the future of data storage and computation. Learn why!

Empowering independent exploration requires the right data model. Here’s how to build it.

Understand quantitative and qualitative data and why they matter to your success.

Data integrity is important. Dig into this essential aspect of your data management program.

In this post, we’ll demonstrate how to quickly load data from Salesforce to an on-premise SQL Server with Skyvia and then connect to Sisense for Cloud Data Teams for analysis.

Delve into the differences between data visualization and visual analytics and learn what they can do for you.

Here are some tips and tricks to overcome challenges when trying to teach computers to understand natural language text data.

The proper use of data can play a huge role in a business’s success. Understanding data structure is a key to unlocking its value.

In this post, we’ll use SQL to predict the number of COVID-19 cases day by day.

Materialized views are one way to make gleaning insights and performing advanced analyses simpler, faster, and often cheaper.

Learn how Social Network Analysis can help companies understand their workforce and respond to coronavirus cases that hit close to home.

Both R and Python are extremely useful for an array of data science applications, including Natural Language Processing (NLP). Read on to understand the strengths and weaknesses of each.