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Amazon Kinesis Deep Dive

Master Amazon Kinesis & AWS for powerful data streaming and analytics. Learn to build scalable data pipelines.

0
Certificate
Beth Hord
Beth HordInstructor

Course Content

Amazon Kinesis Deep Dive is a beginner-level Pluralsight course taught by Beth Hord. It is taught in English and includes a certificate of completion. It is a paid course.

Unlock the power of real-time data processing with Amazon Kinesis! This comprehensive course provides a deep dive into this robust cloud service, covering everything you need to know to leverage its capabilities.

You'll explore the four core components of Amazon Kinesis:

  • Kinesis Data Streams: Learn how to build real-time data pipelines and streaming applications. Understand its use cases for applications like website activity tracking, application logs, and IoT data ingestion.
  • Kinesis Data Firehose: Discover how to reliably deliver streaming data to destinations like Amazon S3, Amazon Redshift, Elasticsearch Service, and Splunk. Perfect for data warehousing and analytics.
  • Kinesis Data Analytics: Master real-time analytics using SQL or Apache Flink. Learn to process and analyze streaming data as it arrives, enabling immediate insights and actions.
  • Kinesis Video Streams: Explore the capabilities of Kinesis Video Streams for capturing, processing, and analyzing video streams in real-time. Ideal for video analytics, content delivery, and surveillance applications.

We'll also examine the various data producers that can feed data into Kinesis, including:

  • AWS Lambda: Trigger Kinesis streams from Lambda functions for serverless data ingestion.
  • API Gateway: Integrate Kinesis with your APIs to capture and process request data.
  • Custom Applications: Learn how to build custom applications to stream data into Kinesis using various programming languages and SDKs.

Finally, understand the diverse data consumers that can consume data from Kinesis streams:

  • AWS Lambda: Process data in real-time with Lambda functions triggered by Kinesis events.
  • Kinesis Data Analytics: Perform real-time analytics on streaming data.
  • Amazon S3: Store streaming data for long-term archiving and batch processing.
  • Amazon Redshift: Load streaming data into Redshift for data warehousing and business intelligence.
  • Elasticsearch Service: Index and search streaming data in real-time.
  • Splunk: Analyze and visualize streaming data with Splunk.

This course equips you with the knowledge to design, build, and operate scalable, real-time data streaming solutions with Amazon Kinesis.

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