f you are building data pipelines for a video streaming site, you would need to consume analytics about video views in real time. Assume you need to look up additional user attributes like the subscription level, that information will change very infrequently. However, once that change happens its important to start tying usage to the correct subscription right away. So you need to find the best way to lookup that info in Apache Spark. With Delta Lake format, the batch data frame will update in memory without restarting the stream. The video in this post shows an example of this in action. Delta Lake supports updates via the merge statement so you keep the data up to date in your file system and Spark will also update its in memory data frame.
The question is raised often, “What programming language should we choose for our Apache Spark project?” The short answer I give is to choose between Scala or Python. I admit, this is only slightly more helpful than saying it depends, which I try to avoid. The real question is what are the tradeoffs between the… Continue Reading
In this video, I share with you about Apache Spark using the Python language, often referred to as PySpark. We’ll walk through a quick demo on Azure Synapse Analytics, an integrated platform for analytics within Microsoft Azure cloud. This short demo is meant for those who are curious about PySpark or just want to get… Continue Reading
In this video, I share with you about Apache Spark using the Scala language. We’ll walk through a quick demo on Azure Synapse Analytics, an integrated platform for analytics within Microsoft Azure cloud. This short demo is meant for those who are curious about Spark with Scala or just want to get a peek at… Continue Reading
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.