Stream

Linkedin Learning – Stream Processing Patterns in Apache Flink

Linkedin Learning – Stream Processing Patterns in Apache Flink-QUiD
English | Size: 211.71 MB
Category: Tutorial


Frameworks such as Apache Flink can help you build fast, scalable stream processing applications, but big data engineers still need to design smart use cases to achieve maximum efficiency. In this course, instructor Kumaran Ponnambalam demonstrates how to use Apache Flink and associated technologies to build stream-processing use cases leveraging popular patterns.

[FreeCoursesOnline Me] PacktPub – Real-Time Data Stream Processing in Azure [Video]

[FreeCoursesOnline Me] PacktPub – Real-Time Data Stream Processing in Azure [Video]
English | Size: 842.73 MB
Category: Tutorial


A modern digital company captures a large amount of data every day. This data gets locked in data islands such as caches, queues, and logs, and extracting this data and making it useful poses a major challenge. Real-time data processing is the most effective alternative to traditional extract, transform, and load (ETL) processes. This course will help you to think of data as an ever-flowing stream of events instead of data as islands locked away in databases.

Packt – Real-Time Data Stream Processing in Azure

Packt – Real-Time Data Stream Processing in Azure [Video]
English | Size: 1.11 GB
Category: Tutorial


Gain a thorough understanding of Azure Stream Analytics
Discover how to ingest data using Azure Event Hubs
Find out how to archive data from Event Hubs to Azure Data Lake
Provision Event Hubs, Data Lake, and SQL Server in Azure
Listen to an event hub and stream the data to a SQL Server table
Communicate with event hubs for effortless data transfer
Discover how event hub groups work

Packt – Real Time Data Stream Processing in Azure

Packt – Real Time Data Stream Processing in Azure-RiDWARE
English | Size: 1.11 GB
Category: Tutorial


Delve into big data streaming with Azure using Event Hubs, Data Lake, and Azure Stream Analytics
More Information
Learn
Gain a thorough understanding of Azure Stream Analytics
Discover how to ingest data using Azure Event Hubs
Find out how to archive data from Event Hubs to Azure Data Lake
Provision Event Hubs, Data Lake, and SQL Server in Azure
Listen to an event hub and stream the data to a SQL Server table
Communicate with event hubs for effortless data transfer
Discover how event hub groups work