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Solutions Architect's Handbook

Solutions Architect's Handbook

By : Saurabh Shrivastava, Neelanjali Srivastav
4.2 (20)
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Solutions Architect's Handbook

Solutions Architect's Handbook

4.2 (20)
By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Becoming a solutions architect gives you the flexibility to work with cutting-edge technologies and define product strategies. This handbook takes you through the essential concepts, design principles and patterns, architectural considerations, and all the latest technology that you need to know to become a successful solutions architect. This book starts with a quick introduction to the fundamentals of solution architecture design principles and attributes that will assist you in understanding how solution architecture benefits software projects across enterprises. You'll learn what a cloud migration and application modernization framework looks like, and will use microservices, event-driven, cache-based, and serverless patterns to design robust architectures. You'll then explore the main pillars of architecture design, including performance, scalability, cost optimization, security, operational excellence, and DevOps. Additionally, you'll also learn advanced concepts relating to big data, machine learning, and the Internet of Things (IoT). Finally, you'll get to grips with the documentation of architecture design and the soft skills that are necessary to become a better solutions architect. By the end of this book, you'll have learned techniques to create an efficient architecture design that meets your business requirements.
Table of Contents (18 chapters)
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NoSQL databases

NoSQL databases such as Dynamo DB, Cassandra, and Mongo DB address the scaling and performance challenges that you often experience with a relational database. As the name suggests, NoSQL means a non-relational database. NoSQL databases store data without an explicit and structured mechanism to link data from different tables (no joins, foreign keys, and with normalization enforced).

NoSQL utilizes a number of data models including columnar, key-value, search, document, and graph. NoSQL databases provide scalable performance, high availability, and resilience. NoSQL typically does not enforce strict schema and every item can have an arbitrary number of columns (attributes), which means one row can have four columns, while another row can have ten columns in the same table. The partition key is used to retrieve values or documents containing related attributes. NoSQL databases are highly distributed and can be replicated. NoSQL databases are durable and don't experience...

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