Data Engineering
Getting Control of Data Cloud Costs: A Snowflake Case Study
What you need to know to bring financial control and accountability to your cloud spending.
Why Snowflake Costs Get Out of Control—and How to Stop It
Snowflake costs aren’t immune to over-provisioning just because they’re in the cloud. Here are some reasons why this happens and how to avoid it in the future.
8 Snowflake Metrics to Help You Optimize Your Spend Now
You can reduce Snowflake costs without spending a dime—here are eight metrics to monitor in our free Snowflake Workload Intelligence tool.
Why is Cloud Over-Provisioning Such a Common Problem?
Cloud over-provisioning is far too common. Which is odd, because it defeats the whole point of the cloud. Here’s why things often get out of hand.
AI and Data Engineering: the Good, the Bad, and the Ugly
Host Bob Eve leads a vibrant discussion about the crossroads of artificial intelligence and data engineering.
Choosing the Best Snowflake Warehouse Size
Because Snowflake is a pay-as-you-go data cloud, and the main thing you are paying for is warehouse size, it pays to get the warehouse size right. You can try to do this on your own or enlist a fully-automated optimizer like Keebo to do it for you. Let’s discuss.
Using AI to Save Money on Snowflake: A Practical Guide for the Data Team
This guide examines Snowflake optimization capabilities, the most important way to reduce Snowflake costs, and how to use AI to automate Snowflake savings.
Snowflake Budgets: Can They Help You Control Costs?
Snowflake Budgets are a good start, but an incomplete approach to controlling costs.
Ways Data Learning Advances a Data Engineer’s Career
Today’s most successful businesses–Amazon, Apple, Facebook, Google, Microsoft, Netflix, Tesla, and more–were all built by data-obsessed technology pioneers who know no limits. As a data engineer, you know all about data, so that’s a great start. But what about the…
Flipping the 80/20 Rule: How Data Engineers can Innovate More and Maintain Less
With data analytics becoming ever more critical to your organization’s success, there has never been a better time to be a data engineer: Jobs are plentiful. The pay is terrific. The work you do is essential. So, life is good,…
How Data Engineers can win Friends and Influence People
To succeed in life, “It’s not what you know, but who you know.” That advice seems counterintuitive to data engineers because it’s all about what you know: how to design data models, build data assets, and deliver data products. It…
5 ways Data Learning Helps Data Engineers Impact the Bottom Line
As a data engineer in today’s data-driven competitive environment, you should feel good that your hard work is essential and delivers significant business value. But is your business value recognized? And if not, how can you make sure that it…