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Principles of Data Systems for IT Architects and Developers

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IperContent Academy

2:39:38

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  • 1. Introduction.mp4
    04:06
  • 1. Introduction.mp4
    09:14
  • 2. Reliability.mp4
    13:15
  • 3. Scalability.mp4
    13:38
  • 4. Maintainability.mp4
    08:50
  • 1. Introduction.mp4
    05:47
  • 2. Relational Model Versus Document Model.mp4
    16:54
  • 3. Query Languages for Data.mp4
    07:50
  • 4. Graph-Like Data Models.mp4
    12:48
  • 1. Introduction.mp4
    03:50
  • 2. Data structures powering databases.mp4
    12:30
  • 3. Transaction processing and data analytics.mp4
    10:34
  • 4. Column-Oriented Storage.mp4
    06:54
  • 1. Introduction.mp4
    04:49
  • 2. Formats for Encoding Data.mp4
    15:46
  • 3. Modes of Dataflow.mp4
    12:53
  • Description


    Unlock the Principles and Best Practices of Data Systems Design to Elevate Your IT Career

    What You'll Learn?


    • How to build applications that work
    • Data Models and Query Languages
    • Mechanisms for Storage and Retrieval
    • How to transmitting data among IT systems

    Who is this for?


  • IT architects
  • Software developers
  • What You Need to Know?


  • No programming experience needed. You will learn everything you need to know
  • More details


    Description

    Are you an IT architect or developer looking to master the principles of data systems? This course is designed to elevate your expertise and career by delving into the essential aspects of data systems design and implementation.

    In this course, you will explore four key sections that are critical for building robust, efficient, and scalable applications:

    1. How to Build Applications That Work

    Learn the foundational principles of building reliable and high-performing applications. This section covers best practices, design patterns, and architectural considerations to ensure your applications meet user expectations and business requirements.

    2. Data Models and Query Languages

    Dive into the world of data models and query languages. Understand the differences between relational and non-relational databases, and master the skills needed to design effective data models. Learn to use various query languages to interact with and manipulate your data efficiently.

    3. Storage and Retrieval

    Gain deep insights into the mechanisms of data storage and retrieval. This section covers different storage architectures, indexing strategies, and data retrieval techniques. You'll learn how to optimize storage solutions for performance and scalability.

    4. Transmitting Data Among Systems

    Explore the principles and practices of data transmission between systems. Understand the challenges and solutions associated with data integration, APIs, and messaging systems. Learn to design and implement efficient data communication strategies that ensure data integrity and consistency across your systems.

    By the end of this course, you will have a solid understanding of the principles and best practices of data systems. You’ll be equipped with the knowledge and skills to design, build, and manage data systems that are robust, scalable, and efficient, propelling your IT career to new heights.

    Join us and start mastering the data systems that power modern applications!

    Who this course is for:

    • IT architects
    • Software developers

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    IperContent Academy
    IperContent Academy
    Instructor's Courses
    Our mission at IperContent Academy is to bridge the gap between theory and practice by delivering high-quality, industry-relevant training that equips learners with the practical skills, insights, and confidence to succeed in the dynamic world of data analytics. We are passionate about fostering a culture of continuous learning, innovation, and collaboration, empowering our students to harness the power of data to drive informed decision-making, solve complex problems, and unlock new opportunities for growth and success.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 16
    • duration 2:39:38
    • Release Date 2024/09/18