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Building Modern Data Analytics Solutions on AWS Course Overview

The "Building Modern Data Analytics Solutions on AWS" course equips professionals with the skills to leverage AWS tools for effective data analytics. This course is essential for data scientists, analysts, and IT professionals seeking to enhance their ability to transform data into actionable insights, driving informed decision-making in today's data-driven landscape.


Course Introduction

Price:

USD 2,850

Duration:

32 Hrs.

  • Introduction to Data Analytics on AWS
    • Overview of data analytics processes
    • Importance of cloud computing in data analytics
  • AWS Data Analytics Services
    • Introduction to AWS services for data analytics
    • Overview of Amazon S3, Amazon Redshift, Amazon Athena, and AWS Glue
  • Data Collection and Storage
    • Strategies for data ingestion
    • Using Amazon Kinesis and AWS IoT for real-time data
    • Data storage options in Amazon S3 and data lake architecture
  • Data Processing and Transformation
    • ETL processes using AWS Glue
    • Serverless data processing with AWS Lambda
    • Batch vs. stream processing
  • Data Analysis and Visualization
    • Using Amazon QuickSight for data visualization
    • Analyzing data with Amazon Redshift and Amazon Athena
    • Integrating with third-party BI tools
  • Machine Learning Integration
    • Introduction to AWS machine learning services
    • Using Amazon SageMaker for predictive analytics
    • Integrating machine learning models with data analytics workflows
  • Security and Compliance
    • Best practices for securing data analytics solutions
    • Understanding data governance on AWS
    • Compliance considerations in data analytics
  • Real-World Use Cases
    • Case studies of data analytics solutions on AWS
    • Industry-specific applications and success stories
  • Course Summary and Next Steps
    • Recap of key concepts and takeaways
    • Resources for further learning and certification paths

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