The infrastructure of a modern analytics stack is now the easiest part. 5, 10, or 15 years ago deploying an analytics stack was a huge investment of time and resources. Not anymore. In this video, we set up a modern analytics from scratch in under an hour. We start from the very beginning. We signup …
Build a modern data analytics stack from scratch in under an hour Read More »
Raise your hand 🙋♂️if you write SQL but are bad about saving your queries and wish they were source controlled in git. This was me for the last 10 years. I used a variety of tools to help but none got the job done. It’s actually amazing how many “rogue” SQL queries there are out …
Source control your SQL queries with Git. Use a SQL Runner + IDE hybrid! Read More »
We’re attending Inbound 2019 this week so Hubspot data has been top of mind. We help clients work with Hubpost in a variety of ways. Here are a few ways you could be doing more with your Hubspot data. 1. The lowest hanging fruit: Combine your Hubspot data with other sources and build a true …
We can’t overstate the significance of the two most recent announcements out of Google Cloud. When the press release came out yesterday that Snowflake was bringing its popular data warehouse service to Google Cloud, it wasn’t particularly surprising. After all, Snowflake is already available on AWS and Azure. However, with today’s major announcement that Google …
There is a lot to love about the Snowflake Data Sharing feature as a means for sharing data with third parties. It’s secure and easy, it allows consumers to bring their own compute power to crunch on the shared data, and most importantly the data is live. You can filter the data that you share …
Anyone that has used Snowflake as a data warehouse understands how groundbreaking and different it truly is. First, it not only has an architecture that separates compute from storage, but it puts the control of that compute in the hands of the consumer. While BigQuery claims to also have an architecture where the compute and …
For as long as there has been data, there have been requirements for sharing it: with partners, with clients, with shareholders and analysts, and with many other types of consumers. As data analytics and business intelligence add even more insights to data, the requirements for sharing and moving data around has only grown. Let’s consider …
No More Spreadsheets: Rethinking External Data Sharing Read More »