DataLakeHouse | News and Insights

Stick around, take a look and read a while. Our team is cranking out some content we think you’ll appreciate. Get updates on things we’re working on, tip n’ tricks, industry insights, and other news to help you achieve data-driven goals.

QuickBooks , Microsoft SQL Server, Square, and Xero logos pictured with zeros and ones flowing down from each of them into a cloud with a dark blue background to represent data flowing from various sources into a cloud-based target

The Down-Low on Data Sources

A brief explanation of data sources and answers to some common questions our clients typically have about them. No matter what industry you’re in, the chances are that you’re probably generating data (from multiple different

image of various logos with lines from them going to the Snowflake logo and lines from the Snowflake logo going to five silhouettes of people to represent how Snowflake acts as a single source of truth for entire organizations where they can access all of their data from all sources they use simultaneously

The Benefits of Having a Single Source of Truth

If you’re struggling with data silos,  you need to read this 👇 When it comes to data, most organizations are practically swimming in it. Okay, maybe more like drowning in it! The amount of information

a confused business man scratching his head with ELT on the left, a white cloud with an orange question mark, and ETL on the right above him on a light blue background

ELT vs. ETL: A Mini Guide to Data Synchronization

The differences between ELT and ETL and how to decide which one you need.  ELT and ETL are acronyms for the extract, load, transform/extract, transform, load processes used to move data into a desired target.