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Deep Learning
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Fundamentals of Database Systems, Global Edition43 %
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Joe Celko's SQL for Smarties45 %
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RDBMS In-Depth
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Big Data Analytics24 %
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Practical Oracle SQL36 %
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Machine Learning Models and Algorithms for Big Data Classification37 %
Publisher: Springer
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Database Modeling and Design45 %
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The Manga Guide to Databases29 %
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Definitive Guide to Mongodb37 %
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Real-Time Database Systems36 %
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Database Concepts, Global Edition43 %
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Mathematics of Big Data
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Concise Guide to Databases43 %
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Social Media Mining38 %
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Pro SQL Server 2022 Wait Statistics36 %
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SQL Server Big Data Clusters36 %
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Pro Oracle SQL Development37 %
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Must-Read Database Books for Students and Developers

The database book category encompasses data and databases. It lives and encompasses the modern world. Databases are important for web applications, developing mobile platforms, management of enterprise software, or analysis of large sets determine the scalability of your work. The category is curated for students, budding programmers, and backend analysts who wish to strengthen their foundation and dive into database technologies. One should buy Database books from BooksWagon because it has an extensive collection of database books, and you can order hassle-free using the catalogue for a smooth shopping experience.

Here are the books:

1. The Lean Start-up: This is the new approach to business adopted around the world. It has changed the way companies are now being built, and the products are being launched. It is about finding out what your customers actually want. It is one of the best database books to test your vision and adjust, before it is too late. Now is the time to think and learn.

2. Python for Data Analysis: It is the handbook for manipulating, processing, cleaning and crunching of data sets in Python. The third edition of this hands-on guide for solving a set of data analysis problems effectively. This book updates you on the latest versions of pandas, NumPy, and Jupiter. It is a modern introduction to the tools of data Science. The Jupyter and Python shells can be used for exploratory computing. Basic and advanced features in NumPy. Data analysis tools can be found in the Python library. Flexible tools needed to be loaded, merged and transformed to reshape data. Pandas' groupby needs to be used to slice, dice and summarise data sets. The time data can be analysed and manipulated.

3.  Mastering the Data Paradox: In this book, two kinds of phenomena are unfolding. A data-first world has emerged, where it has become a central driving force in one of the best Top DPMS books. The second phenomenon is how the advent of AI has unravelled. This has been made possible through the advent of generative AI. The convergence of these two shows data as the common denominator. The book propels us to think, to innovate, to transform, and to create a great future at all three levels: individual, enterprise and the world.

4.  Database Lakehouse Platform Cookbook:  A Lakehouse can be created using Databricks, mentioned in this book, which includes ingestion from source to bronze. Bronze items can be refined using items of silver using incremental methods. Gold items can be constructed to meet the needs of business requirements. This is one of the best database management system books that takes you through the entire Lakehouse database from setting the environment, connecting to storage, to creating delta tables. Next, it is discussed how to create gold tables, and data modelling techniques are performed in the gold layer. At the end of the cookbook, you can be a database Lakehouse expert. It also delves into advanced topics such as data governance and visualisation to equip you with the necessary knowledge for data-driven challenges and data-driven solutions.

5. Practical SQL 2ND Edition: A Beginner's Guide to Storytelling with Data: It is a fast-paced guide to SQL (Standard Query Language). It is the standard programming language for defining, organising, and exploring data, which is a part of relational databases. The examples and code use the open source database Postgresql, fundamentals of databases, and then skills can be built by analysing data sets such as US Census Demographics, New York City taxi rides, and earthquakes found out from the US Geological Survey. Each chapter of this book includes exercises and examples for people who have never programmed to build powerful databases to access information quickly.

6.  Blockchain Basics: A Non-technical introduction in 25 steps: This book can teach you in 25 concise steps the basics of Blockchain technology. No mathematical formula is required for this, nor is computer jargon used. It is one of the best Database books for beginners that bridges the gap between technical concepts and their role in business-relevant applications. The book will discuss what a Blockchain is, why it is needed, and problems it can solve, major components and its purpose, and major application scenarios of Blockchain in operating systems.

Benefits of Reading Database Books             

The benefits of reading database books are as follows:

·         They help in knowing how databases work, including relational theory, and data normalisation.

·         The books help in structured learning.

·         The books can be reliable references and provide in-depth coverage of database systems.

·         They help students prepare for exams.

Topics of Database Management Books

 The topics of database management books are as follows:

1.       Introduction to Databases

2.       Designs of Databases

3.       Relational Database concepts

4.       SQL Language

If you are a student, a software engineer, and a person who likes to study databases. Here is a curated collection of data management books which have topics like foundational system books, to advanced system architecture. BooksWagon can be your one-stop destination to explore books that master database systems. Check them out now at BooksWagon.