MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 24 Lessons ( 2h 16m ) | Size: 1.31 GB
Learn about processing data streams using Azure Event Hubs, Stream Analytics, and Databricks to prepare for the DP-203 exam section: Develop a Stream Processing Solution
The recommended order of courses to prepare for the DP-203 Data Engineering on Microsoft Azure Certification are as follows
Building an Azure Data Engineer Foundation
Data Ingestion and Preparation
Processing in Azure Using Batch Solutions
Processing in Azure Using Streaming Solutions
Secure, Monitor, and Optimize Data Storage and Processing
Finally, use the Practice Exams to test your understanding for the Exam.
In this course, Processing in Azure using Streaming Solutions, you will learn about processing data streams using Azure Event Hubs, Stream Analytics, and Databricks. The material covered in this course is what you need to know when preparing for the Develop a Stream Processing Solution section of the DP-203 exam.
Processing data in a stream, instead of per batch, is particularly useful in scenarios where you need near-real time answers to queries as soon as new data points come in. Examples are detecting and preventing fraudulent transactions and monitoring social media comments.
In Azure, there are three services you'll use when working with streaming data
Azure Event Hubs for ingesting and buffering data
Azure Stream Analytics for processing and transforming datastreams
Azure Databricks for processing and transforming data streams
In this course, you will learn how to work with these services to
Ingest data from streaming data sources
How to write Stream Analytics queries that produce results based on query windows
Partition data streams for scale
Deal with adversity
And more
If you are preparing to take the DP-203 exam, this course will help you get ready for the section on streaming data
