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

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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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Introduction to MinIO

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

Python for Data Storage (Quick Recap)

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

Introduction to Data Engineering

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

Introduction to Object Storage

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

MinIO SDK and API Usage

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

Data Storage Best Practices

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

Security and Access Control

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

Performance Optimization for 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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Developing Modern Data Applications with MinIO

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