Mastering AWS Glue, QuickSight, Athena & Redshift Spectrum

Why take this course?
🎉 Mastering AWS Glue, QuickSight, Athena & Redshift Spectrum: Unleash the Power of Serverless Analytics! 🌟
PS: Don't Miss Out! 🚀
- ✅ Prerequisite Alert: You must have a basic understanding of AWS Console and AWS services like S3, IAM, VPC, and Security Groups to get the most out of this course.
- ✅ AWS Account Required: To practice labs, an AWS Account is necessary, which may incur a cost of approximately $$.
- ✅ Redshift Knowledge Recommended: Familiarity with Amazon Redshift is helpful but not essential for the course content.
- ✅ Target Audience: This course is tailored for intermediate and expert AWS Developers / Architects / Administrators who are ready to dive deeper into AWS services.
The Evolution of Data Analytics on AWS 📈
AWS has been a pioneer in launching serverless services that have revolutionized the way we handle data analytics. With the introduction of Athena and QuickSight in Nov 2016, Redshift Spectrum in Apr 2017, and Glue in Aug 2017, AWS has set a new standard for a truly serverless data lake analytics solution.
Serverless is the Future! 💫
- The demand for serverless technologies is on the rise, as businesses look to manage infrastructure less and focus more on delivering solutions.
- With AWS leading the way in providing a comprehensive suite of native serverless components for data storage, ETL (Extract, Transform, Load), analytics, and reporting, it's an opportune moment to specialize in Serverless Data Lake Analytics.
Course Curriculum: Your Path to Mastering AWS Analytics 🛠️
This course will equip you with the knowledge and skills to master AWS Glue, QuickSight, Athena, and Redshift Spectrum through hands-on labs and real-world applications.
- Introduction to Serverless Computing & AWS Data Lake Architecture
- Schema Discovery, ETL, Scheduling, and Tools Integration with AWS Glue
- Developing a Centralized Data Catalogue using AWS Glue
- Querying Data Lakes with Serverless Athena
- Integrating Data Warehouse and Data Lake with Serverless Amazon Redshift Spectrum
- Reporting & Dashboards with Serverless Amazon QuickSight
- Advanced Data Functions like Row Security, Drill-Down, Drill-Through in QuickSight
Efficient and Effective Learning for Experienced AWS Professionals 🎓
- The course is meticulously designed to provide a focused learning experience, with attention to the core content that matters most to experienced AWS professionals.
- We respect your time and have tailored the lecture timings to deliver only the most pertinent information, ensuring a concise and impactful learning journey.
Why Choose This Course? 🏆
- Stay ahead of the curve by future-proofing your skills in AWS Serverless Analytics.
- Gain expertise in a field that is in high demand across industries, commanding top salaries.
- Learn from someone who is deeply passionate about AWS Serverless computing on the Data and Analytics platform.
Join Us and Elevate Your Career! 🎯
If you're eager to get trained on AWS's Serverless Analytics platform, I am here to guide you through every step of the way. Let's embark on this journey together and unlock the full potential of your AWS career! Enroll now and be part of the serverless revolution! 🚀💫✨
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Comidoc Review
Our Verdict
Mastering AWS Glue, QuickSight, Athena & Redshift Spectrum provides solid information on serverless analytics but can benefit from enhanced audio and video quality as well as more up-to-date examples. This course serves as a starting point for understanding these AWS services and developing deeper skills through independent practice or additional study.
What We Liked
- Comprehensive coverage of AWS serverless services such as Glue, QuickSight, Athena, and Redshift Spectrum
- In-depth knowledge provided for each service, suitable for both beginners and experienced users
- Demonstrates real-world use cases from data cataloguing to analytics on a data lake
- Clear explanations of concepts with examples, addressing common pitfalls
Potential Drawbacks
- Captions require improvement, as they appear to be auto-generated and not thoroughly reviewed by the instructor
- Lab materials occasionally outdated; updates could better reflect AWS platform changes
- Occasional emphasis on reading slides directly from official documentation
- Limited interaction with instructor during lessons, which may affect engagement