Streaming

PluralSight – Handling Streaming Data with Azure Databricks Using Spark Structured Streaming

PluralSight – Handling Streaming Data with Azure Databricks Using Spark Structured Streaming Bookware-KNiSO
English | Size: 235.66 MB
Category: Tutorial


In this course, you will deep-dive into Spark Structured Streaming, see its features in action, and use it to build end-to-end, complex & reliable streaming pipelines using PySpark. And you will be using Azure Databricks platform to build & run them

Udacity – Data Streaming Nanodegree – V1.0.0

Udacity – Data Streaming Nanodegree – V1.0.0
English | Size: 1.48 GB
Category: Tutorial


Learn how to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming. You’ll start by understanding the components of data streaming systems. You’ll then build a real-time analytics application. Students will also compile data and run analytics, as well as draw insights from reports generated by the streaming console.

PluralSight – Modeling Streaming Data for Processing with Apache Beam

PluralSight – Modeling Streaming Data for Processing with Apache Beam Bookware-KNiSO
English | Size: 237.94 MB
Category: Tutorial


Streaming data usually needs to be processed real-time or near real-time which means stream processing systems need to have capabilities that allow them to process data with low latency, high performance and fault-tolerance. In this course, Modeling Streaming Data for Processing with Apache Beam, you will gain the ability to work with streams and use the Beam unified model to build data parallel pipelines