Book Image

Solutions Architect's Handbook

By : Saurabh Shrivastava, Neelanjali Srivastav
Book Image

Solutions Architect's Handbook

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)

Types of NoSQL data store

Following are the major NoSQL databases types:

  • Columnar databases: Apache Cassandra and Apache HBase are the popular columnar databases. The columnar data store helps you to scan a particular column when querying the data, rather than scanning the entire row. If an item table has 10 columns with one million rows and you want to query the number of a given item available in inventory, then the columnar database will just apply the query to the item quantity column rather than scanning the entire table.
  • Document databases: Some of the most popular document databases are MongoDB, Couchbase, MarkLogic, Dynamo DB, and Cassandra. You can use a document database to store semi-structured data in JSON and XML formats.
  • Graph databases: Popular graph database choices include Amazon Neptune, JanusGraph, TinkerPop, Neo4j, OrientDB, GraphDB, and GraphX on Spark. A graph database stores vertices and links between vertices called edges. Graphs can be built on both relational...