Description

Spark Structured Streaming 3.0 : All You Need to Know

Spark Structured Streaming 3.0 : All You Need to Know

Last Updated 08/2020MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 14 lectures (2h 43m) | Size: 899.3 MB

Get to hands on from the first hour and travel through the concepts and details to emerge out master at the end

Spark Structured Streaming 3.0 :

How this course will help you

All You Need to Know teaches you how to use Spark Structured Streaming.

Structured streaming is a new API to simplify building applications on top of Apache Spark with low latency and high throughput.

It builds on insights from both batch processing and stream processing systems,

and provides many production-ready features like checkpointing, restartability, and fault tolerance out-of-the box.

This course includes 14 lectures with custom slides and exercises throughout the course

How this course will help you

Spark Structured Streaming is a new way of thinking about streaming data and fault tolerance.

This tutorial will take you from ground zero to mastering Spark Structured Streaming (3.0).

Spark Structured Streaming is an extension to the Apache Spark framework

that allows developers and data engineers to create powerful stream processing applications.

An interactive guide to help you understand the concepts and features of Spark Structured Streaming with hands-on examples and code.

How this course will help you

This course is all about Spark Structured Streaming and how it works from the first step to the end.

It’s an in-depth look at all its concepts, features, architecture and implementation using Scala Programming Language.

Spark Structured Streaming is a scalable solution for streaming data into Spark,

providing an abstraction over live input sources to ingest and process data continuously and lazily.

It is designed to support both batch and streaming workloads, but is especially well-suited for applications where the data is not being processed in real-time.

Structured Streaming is a powerful abstraction on top of Spark’s core DataStream API that makes it easier to build end to end streaming applications.

It provides a set of best practices about how to structure applications, and offers an out of the box solution for fault tolerance, windowing and recovery.