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Design Principles for Effective Storage Solutions

Axel Sirota

Storage is at the core of every data platform. This course will teach you how to choose and design a storage strategy to ensure your data is always available, resilient, and useful.

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Storage is at the core of every data platform. This course will teach you how to choose and design a storage strategy to ensure your data is always available, resilient, and useful.

It is crucial to have you data available at all times. In this course, Design Principles for Effective Storage Solution, you’ll learn to choose and design a storage strategy to ensure your data is always available, resilient, and useful. First, you’ll explore how to choose a data storage solution. Next, you’ll discover Azure storage and Azure Data Lake Storage V2. Finally, you’ll learn Azure CosmosDB and Azure Synapse Analytics as storage solutions. When you’re finished with this course, you’ll have the skills and knowledge of storage in Azure needed to design an effective storage solution.

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What's inside

Syllabus

Course Overview
Understanding Key Concepts for Storage
Design Effective File Storage Solution with Microsoft Azure
Design Effective SQL and NoSQL Solutions with Microsoft Azure
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines storage solutions, which is foundational for data platforms
Taught by Axel Sirota, who are recognized for their work in storage solutions with Microsoft Azure
Involves three modules: Course Overview, Design Effective File Storage Solution with Microsoft Azure, Design Effective SQL and NoSQL Solutions with Microsoft Azure, which provide a well-rounded understanding of storage solutions

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Activities

Coming soon We're preparing activities for Design Principles for Effective Storage Solutions. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Design Principles for Effective Storage Solutions will develop knowledge and skills that may be useful to these careers:
Data Engineer
Your role as a Data Engineer will often include responsibilities like performing storage capacity planning, standardizing and improving data storage operations, and handling data breaches. These responsibilities often relate to building and managing storage systems. The course you are taking, *Design Principles for Effective Storage Solutions*, has a syllabus that covers these topics. Completing this course will provide you with the foundational knowledge of handling and maintaining data storage systems. This foundational knowledge is necessary for a successful career in the field of Data Engineering.
Database Architect
Database Architects are responsible for designing and managing database systems. Foundational knowledge of storage systems is essential to success in this role. The course you are taking, *Design Principles for Effective Storage Solutions*, has a syllabus that covers foundational storage strategies. Upon completion, you will be equipped with foundational understanding of selecting the appropriate data storage, modeling data structures, and maintaining database systems.
Storage Architect
Someone in the role of Storage Architect is often responsible for designing and managing storage systems. A fundamental understanding of storage strategies is necessary for someone in this role. The course you are taking, *Design Principles for Effective Storage Solutions*, has a syllabus that covers foundational storage strategies. Upon completion, you will have foundational knowledge of selecting the appropriate data storage, modeling data structures, and designing data storage systems.
Cloud Architect
The role of a Cloud Architect is to design, build, and maintain cloud computing systems. This often includes storage systems. Foundational knowledge of storage systems is essential to success in this role. The course you are taking, *Design Principles for Effective Storage Solutions*, has a syllabus that covers foundational storage strategies. Upon completion, you will be equipped with foundational understanding of selecting the appropriate data storage, modeling data structures, and maintaining cloud storage systems.
Database Administrator
Database Administrators often are responsible for planning, designing, and implementing database systems which may include creating data storage strategies. You will need foundational knowledge of data storage in order to succeed in this role. The course *Design Principles for Effective Storage Solutions* will teach you this foundational knowledge. This knowledge covers important subtopics like how to design a storage strategy, how to utilize Azure database systems, and how to use different kinds of storage solutions. This foundational knowledge will help you succeed in your role as a Database Administrator.
Data Management Analyst
Data Management Analysts are responsible for analyzing and designing data management systems. This often includes storage systems. Foundational knowledge of storage systems is essential to success in this role. The course you are taking, *Design Principles for Effective Storage Solutions*, has a syllabus that covers foundational storage strategies. Upon completion, you will be equipped with foundational understanding of selecting the appropriate data storage, modeling data structures, and maintaining data management systems.
Data Analyst
Data Analysts often have the duty of data modeling and data mining. A foundational understanding of data storage strategies is necessary to complete these responsibilities. The course you are taking, *Design Principles for Effective Storage Solutions*, has a syllabus that covers foundational storage strategies. Upon completion, you will be equipped with foundational understanding of selecting the appropriate data storage, modeling data structures, and performing data mining.
Systems Administrator
Systems Administrators are responsible for maintaining computer systems which often include database systems. Foundational knowledge of storage systems is essential to success in this role. The course you are taking, *Design Principles for Effective Storage Solutions*, has a syllabus that covers foundational storage strategies. Upon completion, you will be equipped with foundational understanding of selecting the appropriate data storage, modeling data structures, and maintaining database systems.
Information Architect
Information Architects are responsible for designing and managing information systems. This often includes storage systems. Foundational knowledge of storage systems is essential to success in this role. The course you are taking, *Design Principles for Effective Storage Solutions*, has a syllabus that covers foundational storage strategies. Upon completion, you will be equipped with foundational understanding of selecting the appropriate data storage, modeling data structures, and maintaining information systems.
Computer Systems Analyst
A Computer Systems Analyst is tasked with analyzing and designing computer systems. This often includes storage systems. You will need foundational knowledge of data storage in order to succeed in this role. The course *Design Principles for Effective Storage Solutions* will teach you this foundational knowledge. This knowledge covers important subtopics like how to design a storage strategy, how to utilize Azure database systems, and how to use different kinds of storage solutions. This foundational knowledge will help you succeed in your role as a Computer Systems Analyst.
Data Warehouse Architect
Data Warehouse Architects are responsible for designing and managing data warehouses. They often work with database systems. The course *Design Principles for Effective Storage Solutions* will provide you with foundational knowledge of storage strategies and systems, which are essential for this role. By completing this course, you will learn how to design a storage strategy, how to utilize Azure database systems, and how to use different kinds of storage solutions.
Software Architect
Software Architects are responsible for designing, developing, and implementing software applications. This often includes designing storage systems. You will need foundational knowledge of data storage in order to succeed in this role. The course *Design Principles for Effective Storage Solutions* will teach you this foundational knowledge. This knowledge covers important subtopics like how to design a storage strategy, how to utilize Azure database systems, and how to use different kinds of storage solutions. This foundational knowledge will help you succeed in your role as a Software Architect.
Data Scientist
People in the Data Scientist role are expected to present insights from data, which may involve knowledge of storage solutions. This is why the foundational knowledge that is covered in *Design Principles for Effective Storage Solutions* will be useful for your work as a Data Scientist.
Information Security Analyst
Information Security Analysts often work with data and databases, which requires foundational knowledge of storage strategies. *Design Principles for Effective Storage Solutions* will provide you with this foundational knowledge. The course syllabus covers topics like data storage design and storage system maintenance.
IT Manager
IT Managers are responsible for planning, coordinating, and directing IT activities within an organization. This often includes managing data and database systems. The course *Design Principles for Effective Storage Solutions* will provide you with foundational knowledge of storage strategies and systems, which are essential for this role. By completing this course, you will learn how to design a storage strategy, how to utilize Azure database systems, and how to use different kinds of storage solutions.

Reading list

We've selected 16 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Design Principles for Effective Storage Solutions.
Enhance your knowledge of designing, building, and maintaining scalable and resilient data-intensive applications with this definitive guide.
Supplement your understanding of best practices in data storage with real-world examples, expert guidance, and industry case studies.
Expand your understanding of cloud storage concepts, architectures, and implementation strategies for building robust and scalable cloud-based storage solutions.
Strengthen your understanding of data warehousing concepts, technologies, and applications to support effective storage and management of large datasets.
Provides a brief guide to the emerging world of polyglot persistence. It covers the different types of NoSQL databases, their benefits and drawbacks, and how to choose the right NoSQL database for an organization.
Provides a definitive guide to dimensional modeling, a data modeling technique that is used to design and implement data warehouses. It valuable resource for understanding the principles of dimensional modeling and how to apply them to real-world data warehousing projects.
Provides a definitive guide to Hadoop, a popular open-source framework for big data processing. It covers the different components of Hadoop, how to install and configure Hadoop, and how to use Hadoop to process big data.
Dive into the practical aspects of data storage, including storage systems, data management, and performance optimization.
Provides a definitive guide to Spark, a popular open-source framework for big data processing. It covers the different components of Spark, how to install and configure Spark, and how to use Spark to process big data.
Provides a practical guide to data science for business. It covers the different aspects of data science, from data collection to data analysis and reporting.
Provides a plain English introduction to machine learning. It covers the different concepts of machine learning, from supervised learning to unsupervised learning, and how to apply machine learning to real-world problems.
Provides an introduction to reinforcement learning. It covers the different concepts of reinforcement learning, from Markov decision processes to value functions, and how to apply reinforcement learning to real-world problems.
Provides a practical guide to natural language processing with Python. It covers the different aspects of natural language processing, from text classification to sentiment analysis.
Provides a comprehensive overview of computer vision algorithms and applications. It covers the different aspects of computer vision, from image processing to object recognition.
Provides a very short introduction to robotics. It covers the different aspects of robotics, from the history of robotics to the future of robotics.

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