Using Apache Spark with .NET

Using Apache Spark with .NET

English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 1h 20m | 469 MB


Kick-start your journey into big data analytics with this introductory course about .NET for Apache Spark. Instructor Brigit Murtaugh explains how .NET for Apache Spark will empower you to participate in the world of big data within the .NET ecosystem. She shows you how to create a simple .NET for Apache Spark word count application and run it on your local machine, then shows you how to write a batch processing app. Next, she steps you through a structured streaming app that processes words live as you type them into a terminal. Brigit covers how to leverage ML.NET in combination with .NET for Apache Spark to perform sentiment analysis on a set of online reviews. She teaches you how to deploy your .NET for Apache Spark app to Azure Databricks. Then she concludes by demonstrating how to deploy the .NET for Apache Spark app to Azure HDInsight.

+ Table of Contents

Using Apache Spark with .NET
1 What is .NET for Apache Spark
2 Run your first .NET for Apache Spark app
3 Batch processing with .NET for Apache Spark
4 Structured streaming with .NET for Apache Spark
5 Sentiment analysis with .NET for Apache Spark and ML.NET part 1
6 Sentiment analysis with .NET for Apache Spark and ML.NET part 2
7 Deploy .NET for Apache Spark app to Azure Databricks
8 Deploy .NET for Apache Spark app to Azure HDInsight