Building Modern Data Analytics Solutions On AWS
Instructor-led AWS-aligned training in Building Modern Data Analytics Solutions On AWS. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.
Overview
In this course, you will learn how to build and deploy modern data analytics solutions using Amazon Web Services (AWS). This knowledge is crucial as organizations increasingly rely on data-driven insights to make informed decisions and enhance their competitive edge.
What you'll learn
- You will be able to design data analytics architectures leveraging AWS services.
- You will be able to implement data ingestion and ETL processes using AWS tools.
- You will be able to utilize AWS data storage solutions for analytics purposes.
- You will be able to perform data analysis using Amazon Athena and AWS Glue.
- You will be able to visualize data insights with Amazon QuickSight.
- You will be able to ensure data security and compliance within AWS analytics solutions.
- You will be able to optimize performance and cost for AWS data analytics workloads.
Curriculum
7 modules · outline is indicative and can be tailored to your team.
1Introduction to AWS Data Analytics
- Overview of AWS services for data analytics
- Understanding data analytics lifecycle
- Key concepts in data warehousing and analytics
2Data Ingestion and ETL
- Using AWS Glue for ETL processes
- Data ingestion with Amazon Kinesis
- Batch vs. real-time data processing
3Data Storage Solutions
- Utilizing Amazon S3 for data storage
- Exploring Amazon Redshift for data warehousing
- Choosing the right storage solution for analytics
4Data Processing and Analysis
- Querying data with Amazon Athena
- Data transformation with AWS Lambda
- Integrating machine learning with analytics
5Data Visualization
- Creating dashboards with Amazon QuickSight
- Best practices for data visualization
- Sharing insights with stakeholders
6Security and Compliance
- Implementing data security in AWS
- Understanding compliance requirements
- Data governance in analytics solutions
7Performance Optimization
- Cost management strategies for AWS analytics
- Performance tuning for data queries
- Monitoring and troubleshooting AWS analytics solutions
Prerequisites
No prior experience required.
Who should attend
This course is ideal for data analysts, data engineers, and IT professionals interested in leveraging AWS for data analytics.
Certification
Prepares you for the official AWS certification exam.
Skilvi is an independent training provider and is not affiliated with, or endorsed by, AWS. Trademarks are the property of their respective owners.
Frequently asked questions
What is the format of the course?
The course is instructor-led and delivered live online.
How long is the course?
The course typically spans 5 days, with each session lasting 4 hours.
Will I receive a certificate upon completion?
Yes, you will receive an Skilvi course-completion certificate.
Are exam vouchers included?
Exam vouchers are available through authorized channels on request.
Are there any prerequisites for this course?
No prior experience required.
Pricing on request
- Live online (VILT)
- 24–32 hours
- Hands-on labs & assignments
- Skilvi completion certificate
- Exam voucher on request
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