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Developing Modern Data Applications with MinIO

Mastering Object Storage, API Integration, and Performance Optimization for Modern Data Applications

Duration

2 days (8 hours per day)

Level

Basic Level

Design and Tailor this course

As per your team needs

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This course is designed to provide participants with a comprehensive understanding of using MinIO for object storage in data applications. It covers MinIO SDK and API usage, data storage best practices, security and access control, and performance optimization. The course is hands-on, enabling participants to apply the concepts learned through practical exercises and real-world scenarios.



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  • Data Engineers
  • Data Scientists
  • Software Developers
  • IT Professionals involved in data management and storage
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  • Overview of MinIO and its architecture
  • Key features and benefits of using MinIO for object storage
  • Installation and configuration of MinIO
  • Introduction to the MinIO command-line interface (CLI)
  • Hands-on Demo:
    • Setting up MinIO
    • Basic operations using MinIO CLI
  • Overview of Python programming for data storage
  • Essential Python libraries for data processing (e.g., Pandas, NumPy)
  • Writing and running Python scripts for data manipulation
  • Basic concepts of object-oriented programming in Python
  • Hands-on Demo:
    • Writing and executing Python scripts
    • Using Python libraries for basic data manipulation tasks
  • Overview of data engineering concepts
  • Understanding data pipelines and workflows
  • Basics of ETL (Extract, Transform, Load) processes
  • Introduction to data storage and retrieval systems (e.g., databases, data lakes)
  • Hands-on Demo:
    • Designing a simple ETL pipeline
    • Basic data storage and retrieval operations
  • Overview of object storage concepts
  • Differences between object storage and other storage types.
  • Use cases and benefits of object storage
  • Popular object storage solutions (e.g., AWS S3, MinIO)
  • Hands-on Demo:
    • Setting up an object storage solution
    • Basic operations with object storage
  • Introduction to MinIO SDKs (Python)
  • Using the MinIO API for basic operations (upload, download, delete)
  • Handling large objects and multipart uploads
  • Working with buckets and objects programmatically
  • Hands-on Demo:
    • Implementing basic operations using MinIO SDK
    • Handling large objects and multipart uploads
  • Organizing and structuring data in MinIO
  • Strategies for efficient data retrieval
  • Implementing data versioning and lifecycle policies
  • Managing metadata and tagging
  • Hands-on Demo:
    • Organizing data in MinIO
    • Implementing data retrieval strategies and lifecycle policies
  • Overview of MinIO security features
  • Implementing access policies and bucket policies
  • Using Identity and Access Management (IAM) with MinIO
  • Encrypting data at rest and in transit
  • Hands-on Demo:
    • Setting up and managing access policies
    • Implementing data encryption in MinIO
  • Understanding MinIO performance metrics
  • Techniques for optimizing MinIO performance
  • Load balancing and scaling MinIO
  • Monitoring and troubleshooting performance issues
  • Hands-on Demo:
    • Analyzing and interpreting MinIO performance metrics
    • Implementing performance optimization techniques
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  • Experience with Python programming

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