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We're here to help you find it### Building Modern Data Analytics Solutions on AWS
Our Building Modern Data Analytics Solutions on AWS course spans 32 hours and is structured into four one-day, intermediate-level instructor-led courses. This comprehensive course dives deep into Amazon Lake Formation, Amazon Glue, Amazon EMR, Amazon Kinesis, and Amazon Redshift, covering all essential aspects of building and operating Data analytics pipelines.
Day 1 focuses on Building Data lakes on AWS, providing foundational skills for setting up scalable Data lakes.
Day 2 dives into Building Batch Data Analytics Solutions on AWS with Amazon Glue and EMR.
Day 3 covers Building Data Analytics Solutions using Amazon Redshift, enabling high-performance analytics.
Day 4 explores Building Streaming Data Analytics Solutions on AWS, focusing on real-time data processing with Kinesis.
Learning Objectives: By the end of this course, participants will be proficient in creating and managing data pipelines, transforming data into actionable insights, and utilizing AWS services effectively.
Practical Application: You'll not only learn the theory but also engage in hands-on labs to apply your knowledge—preparing you to optimize data analytics in real-world scenarios.
Join us to advance your skills and stay ahead
Successfully delivered 5 sessions for over 127 professionals
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USD
View Fees Breakdown
| Course Fee | 2,150 |
|
Total Fees (without exam) |
2,150 (USD) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
1. Introduction: The Building Modern Data Analytics Solutions on AWS course is ideal for IT professionals seeking to advance their skills in data lakes, batch and streaming data analytics, and Amazon Redshift.
2. Job Roles and Audience:
The Building Modern Data Analytics Solutions on AWS course is a 32-hour, intermediate-level training designed to deepen your understanding of Amazon Lake Formation, Amazon Glue, Amazon EMR, Amazon Kinesis, and Amazon Redshift for constructing data analytics pipelines efficiently.
