Top 10 books can provide information to the data storage architects who have an interest in Data Storage.
Data storage architects are entrusted with a great deal of responsibility. It is important to be able to manage huge volumes of data without issue. Books are a fantastic source for experts wanting to learn about a certain sector of technology, whether hardback or digital, and data storage architects are no exception. Here is a list of the top ten books for data storage architects. These books are prepared by writers with expertise and renown in data storage and are designed for both beginners and specialists.
The Artificial Intelligence Infrastructure Workshop
Authors: Chinmay Arankalle, Gareth Dwyer, Kunal Gera, Kevin Liao, and Anand N.S.
This is one of the best books for data storage architects. The artificial intelligence infrastructure workshop starts with a look at some real-world artificial intelligence applications. You’ll learn about the many levels of a data lake, as well as security, scalability, and maintainability. You’ll learn how to define the requirements for artificial intelligence applications in your business through hands-on activities. This artificial intelligence book will teach you how to choose a database for your system and execute typical queries on MySQL, MongoDB, and Cassandra. To gain a sense of the pipeline-based architecture, you’ll also create your own artificial intelligence trading system. You’ll gain hands-on experience with PyTorch as you learn to construct a deep Q-learning system to play the CartPole game. Finally, as part of artificial intelligence applications, you’ll investigate how to execute machine learning models in production.
MongoDB: The Definitive Guide
Authors: Shannon Bradshaw, Eoin Brazil, and Kristina Chodorow
MongoDB demonstrates the benefits of document-oriented databases. This safe, high-performance system allows flexible data models, high availability, and horizontal scalability, as you’ll discover. Shannon Bradshaw, Eoin Brazil, and Kristina Chodorow provide database developers with assistance, advanced setup for system administrators, and use cases for a range of applications. Updates on querying, indexing, aggregating, transactions, replica sets, operations management, clustering and data administration, durability, monitoring, and security are included for both novices to NoSQL and seasoned MongoDB users. This is also one of the important books for data storage architects.
Principles of Database Management
Authors: Wilfried Lemahieu, Seppe vanden Broucke, and Bart Baesens
This is one of the valuable books for data storage architects. The foundations of database architecture, modeling, systems, data storage, and the growing field of data warehousing, governance, and more are covered in this comprehensive textbook. It presents an up-to-date approach to database administration, written by experienced educators and specialists in big data, analytics, data quality, and data integration. This full-color illustrated work offers a balanced theory-practice approach, covering key subjects like big data, NoSQL, and other contemporary innovations. Real-world examples, query and code walkthroughs, and graphics reinforce the fundamental principles, making it ideal for beginning courses in information systems and computer science for advanced undergraduates and graduate students. An online playground with numerous learning settings, including MySQL, MongoDB, Neo4j Cypher, and tree structure visualization, complements these examples. This blended learning method ties together key concepts from the text with essential, hands-on tools for getting started with database management.
Software-Defined Data Infrastructure Essentials
Author: Greg Schulz
Physical, cloud, converged, and virtual server storage I/O networking technologies, trends, tools, methods, and tradecraft skills are all covered in software-defined data infrastructures essentials. The book is packed with ideas and suggestions to help you build or enhance your server storage I/O hardware, software, and services abilities, including web-scale, software-defined, containers, database, key-value store, cloud, and enterprise to small and medium-sized enterprises. This comprehensive reference is essential for learning and increasing expertise with technologies, tools, methodologies, and trends, whether you are new to data infrastructures or a seasoned veteran.
The Data Warehouse Toolkit
Author: Ralph Kimball
Ralph Kimball’s The data warehouse toolkit was the first book to introduce dimensional modeling to the industry, and his publications are currently regarded as the most authoritative in this field. This new third edition is the most comprehensive collection of updated dimensional modeling methodologies ever published. It features new and improved star schema dimensional modeling patterns, two new chapters on ETL methods, and business matrices for 12 case studies, among other things. The book starts with basic design ideas and works its way up to more complicated circumstances. It includes real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, education, health care, insurance, and e-commerce, as well as unique modeling techniques for business applications such as inventory management, procurement, invoicing, accounting, customer relationship management, big data analytics, and more. This is one of the essential books for data storage architects.
Data Center Storage
Author: Hubbert Smith
Data Center Storage gives you insider knowledge on how to scope, plan, assess, and execute storage systems to get the most out of them in terms of performance, capacity, reliability, and power savings. It covers data storage technologies in terms of business and use cases, including storage area networks (SAN), capacity-optimized drives, and solid-state drives. It provides crucial information on how to spend money wisely on data center storage. The book begins with a review of the business benefits of replacing direct connected, segmented storage with consolidated SAN-attached storage, written in plain English. The author suggests using service-level applications (SLAs) as a tool to help business units collaborate with IT and prioritize activities that affect productivity and profit above those that are less important.
The Enterprise Big Data Lake
Author: Alex Gorelik
Enterprises are experimenting with Hadoop to construct big data Lakes, but many projects are stagnating or failing because the techniques that worked for Internet firms must be applied to the industry. This practical manual walks managers and IT professionals through the whole process of creating, managing, and regulating a contemporary data lake, from early research and decision-making through planning, product selection, and implementation, maintenance, and governance. You’ll learn how to allow self-service to assist users in finding, understanding, and provisioning data, how to give multiple interfaces to users with varying skill levels, and how to do it all while adhering to business data governance standards.
The History of Data Storage
Author: Larry Freeman
This is one of the best books for data storage architects. This book takes a close look at the products and technologies that shaped the modern digital data storage business. It includes a first-person description of the history, present, and anticipated future developments in the data storage business, making it suitable as an academic reference.
Information Storage and Management
Author: EMC Education Services
This book covers the components of a storage system as well as the many storage system types, as well as crucial new material that examines advancements in existing technologies and the advent of the “Cloud,” as well as updates and vital information on emerging technologies. It includes a section on cloud computing’s developing technologies, which includes data de-duplication, unified storage, continuous data protection technology, virtual provisioning, FCoE, flash drives, storage tiering, big data, and more. It covers storage concepts such as network-attached storage (NAS), storage area network (SAN), and object-based storage, as well as virtualization at different infrastructure components, business continuity, and security in physical and virtualized environments, and an expanded Appendix.
Computer Engineering, Data Storage, Networking and Security
Author: Nikola Zlatanov
This book is aimed at university students, electrical engineers, educators, scientists, system architects, and nearly anybody else interested in learning how computers operate and are used in a variety of industries and applications. One of the major goals is to stimulate engineering efforts in the creation of computing systems, industrial system controls, and networking technologies between them in a well-selected technical language. Many of the structures described in this book were created with the goal of inspiring engineers and high-tech executives seeking a basic reference and knowledge for their projects and new businesses. This is also one of the important books for data storage architects.