A Technical Deep Dive to Yelp's Data Infrastructure — with Steven Moy
Steven Moy thoroughly explains Yelp’s data architecture under the hood and how it evolved over the past ten years.
How do Canva's engineers and analysts scale data platforms to keep up with growth? — with Krishna Naidu
Canva is one of the hottest, if not the hottest, graphic design platforms out there.
Druid, Clickhouse, and Pinot vs data lakes and data warehouses
How to choose the best analytics engine for each type of analytics.
How AppsFlyer manages scale without sacrificing performance
Appsflyer deals not only with 120 billion events per day, but does so while growing quickly as a company
Firebolt Ignites Growth with a $127M Series B Funding Round
Upstart cloud data warehouse sees rapid growth in 2021, plans to double its workforce
Amazon Athena 2.0 (Presto 0.217) - What’s New
Amazon Athena engine version 2 - what’s new and big enough to call this a 2.0 release?
The real meaning of a data lake
Making sense of a data lakes, delta lake, lakehouse, data warehouse and more.
JSON the SQL: Choosing the best data warehouse for semi-structured data
Working with semi-structured data can be more like a Jason (horror movie) Sequel than JSON SQL.
ETL Vs. ELT - Know The Differences
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
How to accelerate Looker performance on Redshift, Snowflake and BigQuery? Short-term fixes and the long-term solutions.
The Double Redshift: About Redshift Alternatives and Limits
When do you need to shift from Redshift, and what are the alternatives? Learn here.
How to upgrade from Tableau extracts to a fast Tableau live connection
Learn how to upgrade from Tableau extracts to Tableau live connection to deliver sub-seconds performance every time.
AWS Athena Error: Query exhausted resources at this scale factor
If you’re using Amazon Athena, you may have seen these errors. About AWS Athena errors and how to deal with them.
Snowflake vs. Redshift (vs. Firebolt)
A detailed comparison of Snowflake vs. Redshift, by architecture, scalability, performance, use cases and cost.
Athena vs. Redshift Spectrum vs. Presto
Learn some simple rules of thumb you can use to choose the best federated query engine for your company's needs.
Choosing Between The Best Federated Query Engine And a Data Warehouse
How companies should avoid creating a slow many headed federated Gorgon out of out of Athena.
Cloud Data Warehouse Requirement Template
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 (but not with Firebolt)
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
How to support ad hoc analysis - Part 2: The right ad hoc analytics architecture
How To Support Ad Hoc Analysis - Part 1
How to support ad hoc analysis: Part 1 - The 4 requirements for an ad hoc analytics architecture
The data hitchhiker’s guide to cloud analytics
"In the beginning, there was a data mess". Don’t Panic, just read our data hitchhiker’s guide to cloud analytics.
Firebolt launches with $37 million in funding
The funding included participation from Zeev Ventures, TLV Partners, Bessemer Venture Partners and Angular Ventures.
Snowflake vs Firebolt
We often get asked “what’s the difference between Firebolt and Snowflake?” and it reminds me of Frozen.
The Evolution of Data Warehouses and Query Engines on Amazon Web Services (AWS)
Choosing the right data warehouse and analytics infrastructure on Amazon Web Services (AWS) can be confusing.
Who the Hell Needs Another Cloud Data Warehouse?
There’s so many data warehouses out there, who the hell needs another one? Three main things that make Firebolt unique.