Spark .NET is the C# API for Apache Spark - a popular platform for big data processing. This demo is for you if you are curious to see a sample Spark .NET program in action or are interested in seeing Azure Synapse serverless Apache Spark notebooks. This demo includes guidance of how you can follow along to build a Spark .NET data load that reads linked sample data, transforms data, joins to a lookup table, and saves as a Delta Lake file to your Azure Data Lake Storage Gen2 account.
Questions I have been asked around Data Lakes, Azure Databricks, Azure Synapse Analytics, and Delta Lake.
As a data engineer, you should not be trying to convince your colleagues that everything can be a scheduled batch job. It's time to learn how to building streaming data pipelines. For many data engineers, Apache Kafka is the go to platform for enabling real-time data pipelines. Let's quickly cover why and how to get started.
Data engineer roles vary but some core traits stand out for any data engineer. If you missed it, check out my first posts in this series on What is a Data Engineer? and Data Engineer Skills for Success. Let's finish off this series with the traits I see as most critical for success as a data engineer.
Wrapping up my attendance at Spark + AI Summit 2020 and I found a lot of value. Here are my quick takeaways to try and save you time. To keep it real, some sessions were a big miss for me either due to too much detail or not enough focus, but some were awesome. If… Continue Reading
Data engineers job descriptions vary significantly as they are asked to work on many different projects. Yet, there are categories of skills that are consistently desired in a data engineer and serve as a foundation for learning new technologies. Here are the skills I see as most critical for success as a data engineer.
Data Engineer is an exciting and rewarding role. However, many are not sure what a data engineer does. Based on my experience in the field and many discussions with others, I present to you how I define the role Data Engineer!
This is part 2 of my Journey of a Data Engineer series which all started from the question “What’s the best path to be a great data engineer?” Check out Part 1: From College to BI Developer for the path from college through my first role as a BI consultant. In this post I’ll cover the steps… Continue Reading
At my last meetup someone asked the question "What's the best path to be a great data engineer?" My journey is a more traditional path than many, but required a lot of independent learning that anyone could have done. I would like to share a more complete response of my experience and what I learned in hopes it helps others with the question of how to go from where they are to being a data engineer. I will cover this topic in two parts. Part 1 (this post) is about what set the stage for data engineering: my path to get into the industry as a Business Intelligence Consultant.
I'm a believer in remote work as a great enabler of more opportunity and greater productivity. Here are my tips for working remote effectively, including how those in the office can best enable their distributed team members.
