Estuary Flow
Build fully managed real-time data pipelines in minutes.
Blog
More about Estuary and related technologies, straight from the team.
Our blog breaks down basic concepts and takes you into the minds of our engineers. We also dig into the business principles that guide our company and allow us to build great solutions for yours.
· April 2, 2024
MongoDB to Snowflake with Data Normalization
Rob Meyer · February 28, 2024
Change Data Capture (CDC) Done Correctly (CDC) - Best Practices for Implementing Change Data Capture
Joseph Shearer · August 31, 2023
ChatGPT for Sales Conversations: Building a Smart Dashboard
David Yaffe - CEO · August 24, 2023
How to Avoid the Modern Data Stack's High-Speed Data Tax
David Yaffe - CEO · June 21, 2023
Ready to Graduate From Your ELT Tool? Here’s Your Next Move
Johnny Graettinger - CTO · June 12, 2023
A Continuous Slack ➡ ChatGPT ➡ Google Sheets Pipeline
Phil Fried · May 27, 2023
What’s a Data Product, Really? Data Usability in Action
Jeffrey Richman · May 12, 2023
Stateful Stream Processing: Concepts, Tools, & Challenges
Ava Connolly · April 23, 2023
How Does Query Processing Happen in Snowflake
Ava Connolly · April 8, 2023
What's the Snowflake Primary Key Constraint? + Its Usage
Daniel Harrington · March 30, 2023
Redshift Date Functions Demystified: DATEDIFF and DATEADD
Jeffrey Richman · March 27, 2023
The Change Data Capture (CDC) Landscape
Olivia Iannone · March 23, 2023
How to Export Data From Firestore: Top Formats & Destinations
Kelvin Gakuo · March 21, 2023
Don't Use Kafka as a Data Lake. Do This Instead.
Jeffrey Richman · March 15, 2023
How To Move Data From MongoDB To BigQuery: 2 Methods
Olivia Iannone · March 8, 2023
What is SQL Server CDC (Change Data Capture): The Guide
Olivia Iannone · February 23, 2023
How to Analyze Google Firestore Data: 4 Options By Use Case
Mahdi Dibaiee · February 9, 2023
Capturing data from Salesforce: Historical and Real-Time
Phil Fried · October 17, 2022
Why TypeScript for real-time data transformation?
Olivia Iannone · July 20, 2022
Four software engineering best practices to improve your data pipelines
Olivia Iannone · June 30, 2022
How to prevent your data warehouse from becoming a data swamp
Olivia Iannone · June 22, 2022
Why ELT won’t fix your data problems
Olivia Iannone · April 26, 2022
Why you don’t actually need a reverse ETL platform
Olivia Iannone · March 8, 2022
MySQL Change Data Capture (CDC): Complete Guide
Jeffrey Richman · March 8, 2022
The Complete Change Data Capture Guide for PostgreSQL
Olivia Iannone · February 24, 2022
3 reasons to rethink your approach to change data capture
Jeffrey Richman · February 8, 2022
What is Change Data Capture: A Comprehensive Guide
Olivia Iannone · January 25, 2022
How new pipeline tools are changing data engineering in the 2020s
Olivia Iannone · December 14, 2021
This article won’t tell you how to build a data mesh
Olivia Iannone · December 7, 2021
The power and implications of data materialization