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Mastering the Modern Data Platform; A Comprehensive Guide to Building and Managing a Secure and Scalable Data Infrastructure

$199.00
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Mastering the Modern Data Platform: A Comprehensive Guide to Building and Managing a Secure and Scalable Data Infrastructure



Course Overview

This comprehensive course is designed to equip participants with the skills and knowledge needed to build and manage a secure and scalable data infrastructure. Participants will receive a certificate upon completion, issued by The Art of Service.



Course Features

  • Interactive and engaging learning experience
  • Comprehensive and up-to-date curriculum
  • Personalized learning experience
  • Practical and real-world applications
  • High-quality content and expert instructors
  • Certificate upon completion
  • Flexible learning options
  • User-friendly and mobile-accessible platform
  • Community-driven and interactive discussion forums
  • Actionable insights and hands-on projects
  • Bite-sized lessons and lifetime access
  • Gamification and progress tracking


Course Outline

Module 1: Introduction to Modern Data Platforms

  • Defining modern data platforms
  • Key characteristics and benefits
  • Overview of data infrastructure components
  • Importance of security and scalability

Module 2: Data Storage and Management

  • Overview of data storage options (relational, NoSQL, cloud-based)
  • Data modeling and schema design
  • Data warehousing and ETL
  • Data governance and quality

Module 3: Data Processing and Analytics

  • Overview of data processing options (batch, real-time, streaming)
  • Data integration and interoperability
  • Data analytics and visualization
  • Machine learning and AI

Module 4: Data Security and Compliance

  • Overview of data security threats and risks
  • Data encryption and access control
  • Identity and access management
  • Compliance and regulatory requirements

Module 5: Data Scalability and Performance

  • Overview of data scalability options (horizontal, vertical)
  • Data partitioning and sharding
  • Data caching and optimization
  • Performance monitoring and tuning

Module 6: Cloud-Based Data Platforms

  • Overview of cloud-based data platforms (AWS, Azure, GCP)
  • Cloud-based data storage options
  • Cloud-based data processing options
  • Cloud-based data security and compliance

Module 7: Data Architecture and Design

  • Overview of data architecture patterns
  • Data architecture design principles
  • Data architecture implementation
  • Data architecture best practices

Module 8: Data Engineering and Operations

  • Overview of data engineering tasks and responsibilities
  • Data pipeline design and implementation
  • Data quality and integrity
  • Data operations and maintenance

Module 9: Data Science and Machine Learning

  • Overview of data science tasks and responsibilities
  • Machine learning algorithms and techniques
  • Data visualization and communication
  • Data science best practices

Module 10: Case Studies and Real-World Applications

  • Real-world examples of modern data platforms
  • Case studies of successful data infrastructure implementations
  • Lessons learned and best practices
  • Future directions and trends


Certificate Upon Completion

Participants who complete the course will receive a certificate issued by The Art of Service, demonstrating their mastery of modern data platforms and data infrastructure management.

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