Data Engineering Insights

Check out the latest Data Engineering insights from the phData team. 

What is Fivetran and How Much Does it Cost?
Data Engineering

What Is Fivetran and How Much Does It Cost?

Integrate BitBucket and Matillion
Data Engineering

How to Integrate Bitbucket and Matillion ETL

Data Engineering

How to Migrate from dbt Core to dbt Cloud: phData’s Simplified Approach

How to Automate SQL Tests in Matillion with phData’s Automated Testing Tool
Data Engineering

How to Automate SQL Tests in Matillion With phData’s Automated Testing Tool

Data Engineering

Data Quality: The Missing Link in Your Cloud Data Migration

Featured image of Why Upgrade to dbt Cloud over dbt Core?
Data Engineering

Why Upgrade to dbt Cloud over dbt Core?

Automating Your Transformation Pipeline with dbt Featured Image
Data Engineering

Automating Your Transformation Pipeline with dbt

Data Engineering

Reducing the Time to Value of your dbt Deployment with Slim CI

Data Engineering

Is dbt a Good Tool for Implementing Data Models?

A picture with data all around with the phData logo in the center
Data Engineering

What is Data Engineering? Everything You Need to Know in 2022

Data Engineering

DataOps: What Is It, Core Principles, and Tools For Implementation

Data Engineering

What Should I Look For in a Data Catalog Tool?

A diagram displaying an example org structure of people to support the data catalog tool.
Data Engineering

What Team Supports Your Data Catalog Best?

Data Engineering

What’s a Data Catalog and How to Choose the Right One

Data Engineering

What is Data Modeling and How Do I Choose the Right One?

Data Engineering

How to Build a Modern Data Platform Utilizing Data Vault

Data Engineering

How Do I Use StreamSets Test Framework?

Data Engineering

How does Kubernetes Horizontal Pod Autoscaling Work with Custom Metrics?

Data and analytics platform diagram for successful data engineering projects
Data Engineering

How to Know if Your Data Engineering Projects Will be Successful

Data Engineering

Trials and Tribulations Preventing Silent Data Loss

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