Ben Gregory on Sep 22, 2017 • 2 min read
While pulling data from Salesforce and using the Python, Postgres and Slack operators to build out some standard reports that were previously being done manually, we realized we could replicate a second reporting mechanism that is also fairly manual but covers essentially the same data.
Ben Gregory on Sep 20, 2017 • 2 min read
In this post, we'll cover how we process that data and what tools we use to build and publish the reports the Slack.
David Fauchier on Sep 12, 2017 • 2 min read
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.
Laurel Brunk on Sep 7, 2017 • 1 min read
This e-book explores what organizations can do to create a culture that does analytics well by doing data engineering well.
Ben Gregory on Sep 7, 2017 • 2 min read
At Astronomer, we compile and share a daily report on our Solutions Directors and marketing channels. We decided to automate it.
Laurel Brunk on Aug 29, 2017 • 1 min read
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.
Andrew Murray on Aug 23, 2017 • 6 min read
There are many things that set GraphQL apart, but the main difference is that the requester has more control over exactly which parts of the response they want.
Laurel Brunk on Aug 15, 2017 • 1 min read
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.
Laurel Brunk on Aug 4, 2017 • 1 min read
Astronomer is a data engineering platform for data engineers. CEO Ry Walker explains why in this video.
Ben Gregory on Aug 3, 2017 • 4 min read
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?
Taylor D. Edmiston and Ryan Palmer on Aug 2, 2017 • 4 min read
What was built as an MVP to fill a big need for customers has evolved into one of Astronomer's first products.
Ben Gregory on Jul 27, 2017 • 3 min read
What exactly is a DAG and what does it tell us that the term “data pipeline” can't?
Josh Bonomini on Jul 25, 2017 • 7 min read
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.
Laurel Brunk on Jul 18, 2017 • 3 min read
The data scientist, the sexiest role of the 21st century, isn't actually very sexy. But it could be.
Viraj Parekh on Jul 13, 2017 • 1 min read
Data Scientist Viraj Parekh talks about why he's frustrated and how Astronomer overcomes those frustrations.
R. Brad Kirn on Jul 11, 2017 • 1 min read
In this episode, RBK calls in one of our data engineers to tell us more about what they are and how they work.
Aaron Brongersma on Jul 6, 2017 • 1 min read
Three of our data engineers sat down to discuss their approach to building the next generation of data.
Amr Abdelrazik on Jul 6, 2017 • 7 min read
Amr Abdelrazik from Mesosphere answers our questions about Apache Mesos and DC/OS.
Laurel Brunk on Jun 29, 2017 • 2 min read
We’d like to open our blog up to other contributors, starting with our favorite readers.
Dave Paprocki on Jun 28, 2017 • 2 min read
The Astronomer platform collects, processes and unifies data, allowing organizations to scale analytics, data science and insights.
