The EU-U.S. Data Privacy Framework and how it affects data governance (and you)
Modern data architecture allows you to have your cake and eat it, too
From descriptive to predictive: Your first machine learning model
Four approaches to data infrastructure modernization
Data analyst vs. data engineer vs. data scientist
Three perspectives on data governance
Why data centralization matters for retail
Why Fivetran supports data lakes
When are you ready for artificial intelligence and machine learning?
5 critical features of modern data movement
Product thinking for data teams
6 steps to building world-class data operations
How to govern your S3 data lake
Setting up your first data pipeline
What is Fivetran?
5 criteria for evaluating data platform security
Beyond data integration: Why data movement is the future
10 data pipeline challenges your engineers will have to solve
What is a data lakehouse?
The modern data mindset is your key to unlocking data integration
Enterprise data warehouses: Definition and guide
Seven essential database schema best practices
Data lakes vs. data warehouses
What is data integration? Definition, benefits and more
The ultimate guide to ELT (Extract, Load and Transform)
ETL vs. ELT: Choose the right approach for data integration
Build vs. buy data pipelines: Costs to consider
Data integration and the data hierarchy of needs
What is ETL?
What is a data pipeline?
Reliable data replication in the face of schema drift
A visual guide to transformations: The Salesforce data model
What is a data mart?
What is a data lake?
What is data transformation?
Ten database schema best practices
Eleven database schema mistakes to avoid
What is the modern data stack?
Product managers! Join us at #mdscon 2021
Team leads! Join us at #mdscon 2021
Applying the scientific method to improve business intelligence
Data analysts! Join us at #mdscon 2021
Data engineers and data architects! Join us at #mdscon 2021
How to handle HIPAA concerns with cloud data warehouses
Data analytics vs. business intelligence
Business intelligence: What you need to know
Data warehouse vs. database
The importance of ETL security
Introducing the Fivetran Protocol
Data transformation fundamentals, uses and tools
Key considerations for pipeline performance
When to use NoSQL and MongoDB
ETL platform alternatives: Fivetran vs. Informatica and more
Which connectors does your ETL tool need?
How to compare ETL tools
Network performance and data integration
Five things I’ve learned from building analytics stacks at J.P. Morgan and Fivetran
Why ELT will disrupt ETL
The ultimate guide to data integration
The dangers of DIY database replication
Process isolation in data pipelines
The importance of database analytics
Building efficient data pipelines with incremental updates
Don’t try this at home: Building an idempotent data pipeline
Idempotence and how it failure-proofs your data pipeline
Database schema design guide
Your data access and transparency journey
What is the architecture of automated data integration?
What is idempotence?
Three kinds of metrics GitHub data can answer
Five dashboards to jump-start your analytics
Why you need automated schema migration
The definitive glossary of data integration terms
How Fivetran built its Klaviyo connector
How well-designed schemas jump-start analytics
Seven steps to getting started with automated data integration
Top technical considerations for choosing an ETL tool
Top business considerations for choosing an ETL tool
Why you shouldn't build your own data pipeline
A primer to customer attribution
Use Fivetran, BigQuery and Looker to get a handle on NetSuite data
Use Fivetran, Snowflake and Tableau to get a handle on NetSuite data
BI tools comparison
A primer to the world of data
A friendly reminder: One plus NULL equals NULL
Your data stack should live in the cloud
Simple and automated always beats complex and handwritten
Get started with the “T” in ELT
Machine learning in one lesson
Instant Data Stack: Fivetran, Snowflake and Tableau
Now in BETA: Fivetran REST API
Now in BETA: Custom Roles
How to Think About Schema Changes
Google Ads (AdWords) Connector Now Comes With Prebuilt Reports
Why You Shouldn’t Build Reports From Raw Data
Simpson’s Paradox: Beware the Lurking Variable
Build Connector Status Dashboards With the Fivetran REST API
Cloud Data Warehousing: It's Time to Re-Think Your Data Architecture
An Introduction to Looker Blocks and LookML
Use Lambda Functions to Move Data From Redshift
Learnerbly breaks down silos and learns the truth 30x faster
Falcon.io: Building a Data-Driven Culture in a Fast-Growing Company
Join thousands of companies using Fivetran to centralize and transform their data.
Join the thousands of companies using Fivetran to centralize and transform their data.
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