It’s the mother of all development projects. You use it daily. And so do 65M developers around the world.
How does a tech stack that always needs to be at the forefront of technology look like?
More and more, people are asking me “how do you compare Snowflake and Databricks?” We did our best to answer.
How Vimeo handles Data Ops to deal with massive scale?
How does Substack's data platform support 500K paying subscribers?
Steven Moy thoroughly explains Yelp’s data architecture under the hood and how it evolved over the past ten years.
Canva is one of the hottest, if not the hottest, graphic design platforms out there.
How to choose the best analytics engine for each type of analytics.
Appsflyer deals not only with 120 billion events per day, but does so while growing quickly as a company
Upstart cloud data warehouse sees rapid growth in 2021, plans to double its workforce
Amazon Athena engine version 2 - what’s new and big enough to call this a 2.0 release?
Making sense of a data lakes, delta lake, lakehouse, data warehouse and more.
Working with semi-structured data can be more like a Jason (horror movie) Sequel than JSON SQL.
Explore the significant differences between ELT and ETL data integration processes and find the best option for you.
How to accelerate Looker performance on Redshift, Snowflake and BigQuery? Short-term fixes and the long-term solutions.
When do you need to shift from Redshift, and what are the alternatives? Learn here.
Learn how to upgrade from Tableau extracts to Tableau live connection to deliver sub-seconds performance every time.
If you’re using Amazon Athena, you may have seen these errors. About AWS Athena errors and how to deal with them.
A detailed comparison of Snowflake vs. Redshift, by architecture, scalability, performance, use cases and cost.
Learn some simple rules of thumb you can use to choose the best federated query engine for your company's needs.
How companies should avoid creating a slow many headed federated Gorgon out of out of Athena.
A checklist of criteria to help you determine which factors are most important for the success of your organization
Why even simple queries can be slow in cloud data warehouses and how Firebolt uses indexing to prune data and stay fast?
How to support ad hoc analysis - Part 2: The right ad hoc analytics architecture
How to support ad hoc analysis: Part 1 - The 4 requirements for an ad hoc analytics architecture
"In the beginning, there was a data mess". Don’t Panic, just read our data hitchhiker’s guide to cloud analytics.
The funding included participation from Zeev Ventures, TLV Partners, Bessemer Venture Partners and Angular Ventures.
We often get asked “what’s the difference between Firebolt and Snowflake?” and it reminds me of Frozen.
Choosing the right data warehouse and analytics infrastructure on Amazon Web Services (AWS) can be confusing.
There’s so many data warehouses out there, who the hell needs another one? Three main things that make Firebolt unique.
The technological concepts that make Snowflake so unique, and why it has proven to be so disruptful for the data space.
