by Erin Kindelan | Nov 23, 2022 | Data Analytics, Data Applications, Data Science, Data Strategy, Databricks
Most of us are inevitably going to be asked one of the most common questions this time of year: “What are you thankful for?” Of course, I am grateful for my husband, my maniac of a dog, my family, and the food I’m fortunate enough to have on the table every day....
by Nigel Silva | Oct 10, 2022 | Data Analytics, Data Applications, Data Science, Data Strategy, Data Visualization, Databricks
Synopsis: This article is a 101 level introduction to Databricks SQL, and will walk you through the steps to build simple visualizations directly within a Lakehouse environment. The article is focused around the UI and workflow of DBSQL and assumes the reader has...
by Matan Winstok | May 31, 2022 | Data Analytics, Data Science, Data Strategy, Databricks, Healthcare and Life Sciences, Uncategorized
This is Blog #1 in a 3 Part Blog Series On HL7 and Healthcare Data Interoperability What is HL7? If you’ve worked with healthcare data, chances are you’ve heard of HL7v2. To give some background for those who aren’t familiar, HL7v2 is a messaging standard that is used...
by Matan Winstok | May 31, 2022 | Data Analytics, Data Science, Data Strategy, Databricks, Healthcare and Life Sciences
This is Blog#2 In A 3-Part Series on HL7 and Healthcare Data Interoperability In Blog #1 of the series, we showed you how to get set up with Smolder and start parsing your HL7 data. Now we’re going to show you how to start processing that data while building out a...
by Matan Winstok | May 28, 2022 | Data Analytics, Data Applications, Data Science, Data Strategy, Databricks, Healthcare and Life Sciences
This is Blog #3 in a 3 Part Blog Series On HL7 and Healthcare Data Interoperability In the past 2 blog posts (Click here to access Blog #1 and Blog #2) of this series, we’ve shown you how to use Smolder to parse your hl7v2 data and build a Medallion architecture...
by Alyssa Williams | May 26, 2022 | Data Analytics, Data Science, Data Strategy
Let’s face it – most of us got our analytical starts in Excel. We were asked to create complex functions or automate manual data entry and suddenly we were hooked. We pride ourselves on our ability to stretch the limits of Excel, making it do things it was never...
