Fivetran CEO George Fraser and Snowflake CEO Frank Slootman sat with Data Cloud Now to discuss what they’re hearing from customers in their joint interview.

Data fragmentation and the growing volume of data sources and types are putting increased focus and importance on an organization’s ability to continuously organize, transform and cost effectively deliver real-time data to its entire organization through the cloud.

Is your business growing to the point where it’s critical to start learning from your data? It’s no easy feat figuring out where to start, especially if you don’t have a data team or the resources to hire one. While we all know that data has become the lifeblood of businesses, providing valuable insights that fuel decision-making and growth, getting started on the data journey is easier said than done.

Amazon's Relational Database Service (AWS RDS) is a web-based service launched by Amazon Web Services (AWS) that unifies the setup, operation, and scaling of relational databases in the cloud. By using a dependable and feature-rich ETL (Extract, Transform, Load) tool, you can simplify the process of retrieving, transforming, and sending data from the various systems you already use, like AWS RDS.

Choosing one over the other can come down to a few key differences. Let’s take a look at both to help you make an informed decision.

BigQuery Omni lets you do data analytics on data, including geospatial data, stored across public cloud environments.

Within the Idera group, many of the brands and products complement each other. Two such market-leading brands are Yellowfin and WhereScape. But, how do multiple tools help deliver even more significant value, and should you look at separate solutions or a combined solution from a single vendor? WhereScape specializes in data integration and automation; it can streamline the data processing pipeline, reducing complexity and potential bottlenecks, i.e.

Organizations rely on data to drive their decision-making. But with so many different sources generating vast amounts of data, it’s virtually impossible to manually compile and cleanse it all. This is why ETL (extract, transform, load) tools have become critical for data-driven organizations, as they facilitate the data integration process by consolidating data from various sources into a single, unified format.

Don’t have enough time to track restaurant KPIs? This article will show you the most time-efficient approach to staying on top of your business.