Top Use Cases of Data Engineering in Financial Services
When you think of data engineering, what comes to mind? For some, it may conjure images of a stereotypical IT department solving office business issues.
What Are the Best Data Modeling Methodologies & Processes for My Data Lake?
With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from
Most Common Use Cases of Data Engineering in Healthcare
Data engineering in healthcare is taking a giant leap forward with rapid industrial development. Artificial Intelligence (AI) and Machine Learning (ML)Â are buzzwords these days
When To Use Internal vs. External Stages in Snowflake
Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud
The Ultimate Modern Data Stack Migration Guide
This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, Katrina Menne, and Sunny Yan. Imagine a world
How to Translate SQL Scripts Into Matillion Jobs
Unlike traditional methods that rely on complex SQL queries for orchestration, Matillion Jobs provides a more streamlined approach. By converting SQL scripts into Matillion Jobs,
Understanding Zero-Code Development Life Cycle in Matillion
Traditional Software Development Lifecycle (SDLC) makes assumptions about the organization of work that are no longer always true in Low and No Code working patterns.
How to Translate SQL Scripts Into Matillion Jobs
Unlike traditional methods that rely on complex SQL queries for orchestration, Matillion Jobs provide a more streamlined approach. By converting SQL scripts into Matillion Jobs,
Fivetran Supports the Automation of the Modern Data Lake on Amazon S3
At phData we try to be at the forefront of new technologies and capabilities that might benefit our customers. Today we want to introduce Fivetran’s
What Is Fivetran and How Much Does It Cost?
In today’s increasingly data-driven world, businesses need reliable and efficient ways to collect, analyze, and draw insights from their data. With so many data integration
