Skip to content

shannonlowder.com

Menu
  • About
  • Biml Interrogator Demo
  • Latest Posts
Menu

Tag: ADLA

The Big Cost in Data Science

Posted on October 24, 2018November 13, 2022 by slowder

You hear time and time again how 50 to 80 Percent of Data science projects is spent on data wrangling munging and transformation of raw data into something usable.  For me personally. I’ve automated a lot of those steps. I built tools over the last 20 years that help me do more in less time….

Continue reading

NOAA Radar and Severe Weather Data Inventory

Posted on August 29, 2018November 13, 2022 by slowder

After I finished evaluating the Storm Events Database from NOAA, I was convinced we needed to look for machine recorded events. When you start poking around the NOAA site looking for radar data, you’ll find a lot of information about how they record this data in binary block format.  Within this data, you’ll find measurements…

Continue reading

U-SQL: Automating Schema on Read

Posted on November 1, 2017November 14, 2022 by slowder

Moving to U-SQL for your ETL can feel like a step back from the drag and drop functionality we have in SSIS.  But there is one great thing about your ETL being defined in text rather than a UI: you can automate it!  Today I’m going to show you how you can automate the part…

Continue reading

U-SQL and ETL Processing–Part 2

Posted on October 31, 2017November 14, 2022 by slowder

We’ve been going through a simple U-SQL script to perform some ETL processing in Azure Data Lake. Last time, we started by covering some basic syntax like variables and expressions.  Now, we’ll pick up with some transformations. SSIS v U-SQL In traditional data warehouse ETL, we’ve been spoiled by the ease of drag and drop…

Continue reading

U-SQL and ETL Processing

Posted on October 26, 2017November 14, 2022 by slowder

When you get started with Azure Data Lake Analytics and U-SQL specifically, you may get a little confused. It looks like a mash-up of T-SQL and C#. Turns out, That’s exactly what it is!  You can find lots of information on MSDN, or GitHub, or StackOverflow. Let’s get started with some basics. Variables, DataTypes, and Case…

Continue reading

Azure Data Lake Storage ACL Automation

Posted on October 25, 2017November 14, 2022 by slowder

In my last blog entry, we covered how to layout folders in your Data Lake Storage account based on a logical design.  That’s only half the battle.  You also need to set up Access Control Lists (ACLs).  Setting up controls via the Azure portal is easy, but not something you can automate. Today, we’ll jump…

Continue reading

Azure Data Lake, Step by Step

Posted on October 18, 2017November 14, 2022 by slowder

Over the next few blog posts in this series, I’m going to share with you the story of how a Data Lake project comes together. As I tell this story, I’m going to keep pointing back to traditional ETL work and to Automation techniques.  Not all of these will include Biml.  I hope to help…

Continue reading

Data Warehouse Automation is for Data Lakes too!

Posted on October 17, 2017November 14, 2022 by slowder

Last week you might have seen a tweet about a day in the life of a Data Platform Consultant.  To say the least, my days are varied.This day, in particular, I was split between building out automated ETL tests using Biml and spinning up a new Azure Data Lake.  Up until recently, I would have…

Continue reading

Recent Posts

  • A New File Interrogator
  • Using Generative AI in Data Engineering
  • Getting started with Microsoft Fabric
  • Docker-based Spark
  • Network Infrastructure Updates

Recent Comments

  1. slowder on Data Engineering for Databricks
  2. Alex Ott on Data Engineering for Databricks

Archives

  • July 2023
  • June 2023
  • March 2023
  • February 2023
  • January 2023
  • December 2022
  • November 2022
  • October 2022
  • October 2018
  • August 2018
  • May 2018
  • February 2018
  • January 2018
  • November 2017
  • October 2017
  • September 2017
  • August 2017
  • June 2017
  • March 2017
  • February 2014
  • January 2014
  • December 2013
  • November 2013
  • October 2013
  • August 2013
  • July 2013
  • June 2013
  • February 2013
  • January 2013
  • August 2012
  • June 2012
  • May 2012
  • April 2012
  • March 2012
  • February 2012
  • January 2012
  • December 2011
  • November 2011
  • October 2011
  • September 2011
  • August 2011
  • July 2011
  • June 2011
  • May 2011
  • April 2011
  • March 2011
  • February 2011
  • January 2011
  • December 2010
  • November 2010
  • October 2010
  • September 2010
  • August 2010
  • July 2010
  • June 2010
  • May 2010
  • April 2010
  • March 2010
  • January 2010
  • December 2009
  • November 2009
  • October 2009
  • September 2009
  • August 2009
  • July 2009
  • June 2009
  • May 2009
  • April 2009
  • March 2009
  • February 2009
  • January 2009
  • December 2008
  • November 2008
  • October 2008
  • September 2008
  • August 2008
  • July 2008
  • June 2008
  • May 2008
  • April 2008
  • March 2008
  • February 2008
  • January 2008
  • November 2007
  • October 2007
  • September 2007
  • August 2007
  • July 2007
  • June 2007
  • May 2007
  • April 2007
  • March 2007
  • February 2007
  • January 2007
  • December 2006
  • November 2006
  • October 2006
  • September 2006
  • August 2006
  • July 2006
  • June 2006
  • May 2006
  • April 2006
  • March 2006
  • February 2006
  • January 2006
  • December 2005
  • November 2005
  • October 2005
  • September 2005
  • August 2005
  • July 2005
  • June 2005
  • May 2005
  • April 2005
  • March 2005
  • February 2005
  • January 2005
  • November 2004
  • September 2004
  • August 2004
  • July 2004
  • April 2004
  • March 2004
  • June 2002

Categories

  • Career Development
  • Data Engineering
  • Data Science
  • Infrastructure
  • Microsoft SQL
  • Modern Data Estate
  • Personal
  • Random Technology
  • uncategorized
© 2025 shannonlowder.com | Powered by Minimalist Blog WordPress Theme