I am proud to announce the publication of my newest book titled, “Microsoft Certified Associate Data Engineer Study Guide” for the DP-203 exam. The example data used in this book consists of my brainwaves. You can download the data and the source code for all the examples in the book on GitHub here . ADLS, Azure Synapse, Azure Databricks, Azure HDInsight, Azure Stream Analytics, Cosmos DB and so much more are discussed in full detail with many hands-on exercises. AI capabilities are built on top of Machine Learning models which are created, trained, and tested with data. Without data there can be no reliable AI. The fact that I could muster up 957 pages for this book should call attention to the very large, complex and important aspects of the Data Engineering role and capabilities. Lastly, do you recall some of my previous posts that describe the EDA and real time streaming of brainwaves onto the Azure platform and the visualization of them in Power BI? If yes, how to do this, step-by-step is described in detail in this book.
Get it on Amazon or directly from Sybex.
Check out the source code and data files on my GitHub repo “ADE”, also leave any comment you have there and I’ll try to respond to you.
If you have a comment for me, use any of these contact points listed at the bottom of the page here.