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- Title A Beginner-friendly and Comprehensive Deep Dive on Vector Databases
- Author(s) Avi Chawla
- Publisher: Self-Publishing
- Paperback: N/A
- eBook: HTML
- Language: English
- ISBN-10: N/A
- ISBN-13: N/A
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Understanding every little detail on vector databases and their utility in LLMs, along with a hands-on demo. A Vector Database is a specialized system for efficiently storing, indexing, and querying high-dimensional vector data.
About the Authors- N/A
- Non-relational/NoSQL Databases
- Information Retrieval (IR) and Search Engines
- Database Systems
- Data Analysis and Data Mining

- A Beginner-friendly and Comprehensive Deep Dive on Vector Databases (Avi Chawla)
- The Mirror Site (1) - HTML
-
HBase Succinctly (Elton Stoneman)
This book teaches you to use Apache HBase to improve your control of big data. It will detail what makes HBase different from other databases and teach you about its signature features. With this knowledge, you will be able to jump into big data management.
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Big Data Analytics with Hadoop 3 (Sridhar Alla)
This book shows you how to combine Hadoop with a host of other big data tools to build powerful analytics solutions, by providing insights into the software as well as its benefits with the help of practical examples.
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Hadoop with Python (Zachary Radtka, et al)
This book takes you through the basic concepts behind Hadoop, MapReduce, Pig, and Spark. Then, through multiple examples and use cases, you'll learn how to work with these technologies by applying various Python tools.
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Hadoop Succinctly (Elton Stoneman)
This booky explains how Hadoop works, what goes on in the cluster, demonstrates how to move data in and out of Hadoop, and how to query it efficiently. It also walks through a Java MapReduce example, illustrates it in Python and .NET, too.
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Redis in Action (Josiah Carlson)
This book introduces Redis and walks you through examples that demonstrate how to use it effectively. You'll begin by getting Redis set up properly and then exploring the key-value modell, learn how to scale Redis from small jobs to massive datasets.
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How To Manage a Redis Database (Mark Drake)
This book aims to provide an approachable introduction to Redis concepts by outlining many of the key-value store's commands so readers can learn their patterns and syntax, thus building up readers’ understanding gradually.
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Graph Databases: New Opportunities for Connected Data
This book provides a practical foundation for those who want to apply Graph Database to real-world business solutions. You'll learn why graph database are useful, where they're applicable, and how to design and implement solutions that use them.
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Guide to NoSQL with Azure Cosmos DB (Gaston C. Hillar, et al)
This book is for C# developers. This book starts off by showing you the main features of Cosmos DB, their supported NoSQL data models and the foundations of its scalable and distributed architecture.
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Firebase Essentials (Neil Smyth)
This book provides everything you need to successfully integrate Firebase cloud features into your Android apps. The book is organized into chapter groups that focus on specific Firebase features, with each topic area consisting of a detailed overview.
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Apache Cassandra Succinctly (Marko Svaljek)
Step outside the relational world and learn how to store data with Apache Cassandra, the massively popular NoSQL distributed database system. You will be able to store and model data using the Cassandra Query Language, and use Cassandra within your own apps.
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O'Reilly® CouchDB: The Definitive Guide (J. Chris Anderson, et al)
This book teaches the fundamentals of one of the most powerful database engines ever created for the price of a good lunch.
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