Data Reliability
How Data and Finance Teams Can Be Friends (And Stop Being Frenemies)
Part one in a practical data leader series: how data leaders can better work with the finance team.
What’s Next for Data Engineering in 2023? 13 Predictions
Data trend predictions from two industry veterans who have made big bets on the future of data engineering.
How to Quickly Connect Power BI to Snowflake
Power BI Desktop connects to Snowflake easily in much the same way that all other data sources are connected. Here’s…
The 7 Tenets Of Building A Data-Driven Culture
Check out the 7 rules that helped Cribl transform into a data-driven culture with critical assets used by 60% of…
The Data Engineer’s Guide to Backfilling Data
You may know how to move data from one place to another quickly and accurately, but backfilling data can get…
4 Data Mesh Principles To Get One Step Closer To Data Nirvana
There is no one single recipe for building a data mesh. Instead, there are core principles that guide you. Here…
Where the Data Silos Are
You’ve heard of shadow IT, but what about shadow data? Read on to see where the data silos are and…
The Fight for Controlled Freedom of the Data Warehouse
The data gatekeeper is dead, long live the…oh no what have we done?…
How to Load and Stream Data from AWS S3 to Snowflake Using Snowpipe
Using Snowflake’s Snowpipe, it’s possible to upload a CSV to a S3 bucket and within 60 seconds see the data…
DataOps vs. DevOps Explained
DataOps draws many parallels from DevOps, but from an implementation standpoint, the responsibilities and skillset differences couldn’t be more different.
How to Make Data Anomaly Resolution Less Cartoonish
Fixing broken data doesn’t have to be a game of whack-a-mole. Here’s how to speed up your data incident resolution…
The Ultimate Guide To Data Lineage
Data lineage is a must-have feature of the modern data stack, yet we're struggling to derive value from it. Here's…
Are DataOps Frameworks the Future Of the Modern Data Stack?
As data needs scale, teams need to start prioritizing reliability. Here’s why DataOps might be the answer—and how you can…
Don’t Make a Schema Change Before Answering These Five Questions
Not all schema changes are equal. Here is what to ask yourself before pushing your code off to production.
Is Modern Data Warehouse Architecture Broken?
The modern data warehouse architecture creates problems across many layers. Consider instead an immutable data warehouse for scale and usability.
Batch Processing vs Stream Processing: The Data Quality Edition
Learn how to achieve high-quality data through batch processing vs stream processing by implementing data observability to your pipelines.
Data Observability vs. Data Testing: Everything You Need to Know
You already test your data. Do you need observability, too?…
How to Treat Your Data As a Product
Your company wants to "treat data like a product." Great! What does that mean?…
What’s In Store for the Future of the Modern Data Stack?
Bob Muglia, the former CEO of Snowflake, discusses what’s next for the tooling and technologies powering data analytics and engineering.
How to Build Your Data Reliability Stack
Data reliability is a critical focus for modern data teams. Here's how to get started.
Data Observability: Five Quick Ways to Improve the Reliability of Your Data
Five common data observability use cases and how they can help your team improve data quality at scale and trust…