Book Image

Solutions Architect’s Handbook - Second Edition

By : Saurabh Shrivastava, Neelanjali Srivastav
4 (2)
Book Image

Solutions Architect’s Handbook - Second Edition

4 (2)
By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This handbook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish. This new edition features additional chapters on disruptive technologies, such as Internet of Things (IoT), quantum computing, data engineering, and machine learning. It also includes updated discussions on cloud-native architecture, blockchain data storage, and mainframe modernization with public cloud. The Solutions Architect's Handbook provides an understanding of solution architecture and how it fits into an agile enterprise environment. It will take you through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced design patterns, anti-patterns, and the cloud-native aspects of modern software design. By the end of this handbook, you'll have learned the techniques needed to create efficient architecture designs that meet your business requirements.
Table of Contents (22 chapters)
20
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21
Index

Visualizing data

Data insights are used to answer important business questions such as revenue by customer, profit by region, or advertising referrals by site, among many others. In the big data pipeline, enormous amounts of data are collected from a variety of sources. However, it is difficult for companies to find information about inventory per region, profitability, and increases in fraudulent account expenses. Some of the data you continuously collect for compliance purposes can also be leveraged for generating business.

The two significant challenges of BI tools are the cost of implementation and the time it takes to implement a solution. Let's look at some technology choices for data visualization.

Technology choices for data visualization

The following are some of the most popular data visualization platforms, which help you to prepare reports with data visualization as per your business requirements:

  • Amazon QuickSight is a cloud-based BI tool for...