5 Ways to Make Sure Your Analytics Spark Growth
Through their collection of war stories and experiences, Mr. Wolf has gained insider insight to the deliberate preparation it takes to do analytics in a way that is meaningful.Read more >
A Guide to Modern Data Engineering
This e-book explores what organizations can do to create a culture that does analytics well by doing data engineering well.Read more >
Too many big data tools? (An infographic)
Most organizations are all in when it comes to big data. But the number of tools available (and necessary!) to deal with it is staggering.Read more >
How to Get to Insights Faster (An Infographic)
Get big insights from big data by following Gartner's 2016 Market Guide to Self-Service Data Preparation trends. Here they are as an infographic.Read more >
Astronomer for Data Engineers
Astronomer is a data engineering platform for data engineers. CEO Ry Walker explains why in this video.Read more >
Data Formats 101
Business analysts generally encounter four main formats of data: JSON, XML, CSV, and TSV. So what are these types and why would we use them?Read more >
What Exactly is a DAG?
What exactly is a DAG and what does it tell us that the term “data pipeline” can't?Read more >
5 Sci-Fi Movies That Overlap With Modern Technology
Let's explore some of the ways science fiction and real life overlap (as far as we can tell). And how these “fantastic” ideas can play out in business.Read more >
Why Every Data Scientist Needs A Data Engineer
The data scientist, the sexiest role of the 21st century, isn't actually very sexy. But it could be.Read more >
Why Are Data Scientists Frustrated?
Data Scientist Viraj Parekh talks about why he's frustrated and how Astronomer overcomes those frustrations.Read more >
Ask RBK: Tell me more about getting the right data pipelines.
In this episode, RBK calls in one of our data engineers to tell us more about what they are and how they work.Read more >
Data Engineers Talk Data Engineering: A Webinar
Three of our data engineers sat down to discuss their approach to building the next generation of data.Read more >
Normalizing Data for Warehouse Centralization
Knowing the options for storing data will help you make the right decisions for your company when you’re ready to take this step.Read more >
Why In-Depth Analytics Are Easier Than You Think
Ready to get product analytics started? Download Astronomer’s free guide to product analytics that discusses what’s possible and how to map next steps.Read more >
Data Wrangling 101: Using Python to Fetch, Manipulate & Visualize NBA Data
This is meant to be used as a general tutorial for beginners with some experience in Python or R.Read more >
To Tackle Big Data, We Got Together with Astronomer
To give you a real sense of what makes Astronomer so special, I went did a quick Q&A with co-founders Ry Walker and Tim Brunk.Read more >
Is Your Organization Insane?
Every organization is at a slightly different place with how they use data. See where you are.Read more >
Six Principles for Sending Surveys
Here are some basic principles to keep in mind to collect data that is actually usable.Read more >
Why Is My Data Playing Hard to Get?
When we talk about "hard to reach" data, what kind of data are we talking about, and why exactly is it so hard to access, organize and store?Read more >
Approach The Next Data Initiative Like A Data Analyst
I’ve experienced great successes ... and epic failures (big data can be a big challenge). From those failures, I’ve developed a few guiding principles.Read more >