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Seven NoSQL Databases in a Week
Seven NoSQL Databases in a Week

Seven NoSQL Databases in a Week: Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases

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Profile Icon Sudarshan Kadambi Profile Icon Xun (Brian) Wu
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€18.99 per month
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5 (6 Ratings)
Paperback Mar 2018 308 pages 1st Edition
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Arrow left icon
Profile Icon Sudarshan Kadambi Profile Icon Xun (Brian) Wu
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€18.99 per month
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5 (6 Ratings)
Paperback Mar 2018 308 pages 1st Edition
eBook
€15.99 €23.99
Paperback
€29.99
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Renews at €18.99p/m
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€29.99
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Seven NoSQL Databases in a Week

MongoDB

MongoDB is an open source, document-oriented, and cross-platform database. It is primarily written in C++. It is also the leading NoSQL database and tied with the SQL database in fifth position after PostgreSQL. It provides high performance, high availability, and easy scalability. MongoDB uses JSON-like documents with schema. MongoDB, developed by MongoDB Inc., is free to use. It is published under a combination of the GNU Affero General Public License and the Apache License.

Let's go through the MongoDB features:

  • Rich query support: We can query the database as we do with SQL databases. It has a large query set that supports insert, update, delete and select operations. MongoDB supports fields, range queries, and regular expressions. Queries also support the projection where they return a value for specific keys.
  • Indexing: MongoDB supports primary and secondary...

Installing of MongoDB

You can download the latest version of MongoDB here: https://www.mongodb.com/download-center#community. Follow the setup instructions to install it.

Once MongoDB is installed on your Windows PC, you have to create the following directory:

Data directory C:\data\db  

Once you have successfully installed MongoDB, you will be able to see the following executable:

We have to start the mongod instances to begin working with MongoDB. To start the mongod instance, execute it from the command prompt, as shown in the following screenshot:

Once mongod has started, we have to connect this instance using the mongo client with the mongo executable:

Once we are connected to the database, we can start working on the database operations.

MongoDB data types

Documents in MongoDB are JSON-like objects. JSON is a simple representation of data. It supports the following data types:

  • null: The null data type is used to represent the null value as well as a value that does not exist:
  • boolean: The boolean type is used to represent true and false values:
  • number: In MongoDB, the shell default supports 64-bit floating-point numbers. To process long and integer numbers, MongoDB provides NumberLong and NumberInt, which represent 4 bytes and 8 bytes, respectively.
  • string: The string data type represents the collection of characters. The MongoDB default supports UTF-* character encoding:
  • date: MongoDB stores dates in milliseconds since the epoch. The time zone information is not saved:
  • After inserting a date using the preceding way in the document, when we query using find it returns a document with...
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Key benefits

  • Covers the basics of 7 NoSQL databases and how they are used in the enterprises
  • Quick introduction to MongoDB, DynamoDB, Redis, Cassandra, Neo4j, InfluxDB, and HBase
  • Includes effective techniques for database querying and management

Description

This is the golden age of open source NoSQL databases. With enterprises having to work with large amounts of unstructured data and moving away from expensive monolithic architecture, the adoption of NoSQL databases is rapidly increasing. Being familiar with the popular NoSQL databases and knowing how to use them is a must for budding DBAs and developers. This book introduces you to the different types of NoSQL databases and gets you started with seven of the most popular NoSQL databases used by enterprises today. We start off with a brief overview of what NoSQL databases are, followed by an explanation of why and when to use them. The book then covers the seven most popular databases in each of these categories: MongoDB, Amazon DynamoDB, Redis, HBase, Cassandra, In?uxDB, and Neo4j. The book doesn't go into too much detail about each database but teaches you enough to get started with them. By the end of this book, you will have a thorough understanding of the different NoSQL databases and their functionalities, empowering you to select and use the right database according to your needs.

Who is this book for?

If you are a budding DBA or a developer who wants to get started with the fundamentals of NoSQL databases, this book is for you. Relational DBAs who want to get insights into the various offerings of popular NoSQL databases will also find this book to be very useful.

What you will learn

  • Understand how MongoDB provides high-performance, high-availability, and automatic scaling
  • Interact with your Neo4j instances via database queries, Python scripts, and Java application code
  • Get familiar with common querying and programming methods to interact with Redis
  • Study the different types of problems Cassandra can solve
  • Work with HBase components to support common operations such as creating tables and reading/writing data
  • Discover data models and work with CRUD operations using DynamoDB
  • Discover what makes In?uxDB a great choice for working with
  • time-series data

Product Details

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Publication date : Mar 29, 2018
Length: 308 pages
Edition : 1st
Language : English
ISBN-13 : 9781787288867
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Publication date : Mar 29, 2018
Length: 308 pages
Edition : 1st
Language : English
ISBN-13 : 9781787288867
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Table of Contents

9 Chapters
Introduction to NoSQL Databases Chevron down icon Chevron up icon
MongoDB Chevron down icon Chevron up icon
Neo4j Chevron down icon Chevron up icon
Redis Chevron down icon Chevron up icon
Cassandra Chevron down icon Chevron up icon
HBase Chevron down icon Chevron up icon
DynamoDB Chevron down icon Chevron up icon
InfluxDB Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

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Amazon Customer Nov 11, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
this expalins better understanding of nosql databases Mongo,cassandra.redis and Neo4j. all in one book will help started to choose which data base needs to be selected for what purpose.
Amazon Verified review Amazon
J. B. Barnes May 26, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I have read several NoSQL books available for Amazon Kindle over the past week. This is far and away the most useful if you are researching which of the over 350 available NoSQL servers is right for you. Rather than speaking in generalities and only lightly touching specific products, the authors have decided to select seven popular and capable DB servers and go into great detail, giving you a real feel for how each one operates and where it excels and comes up short.One problem I have found with many NoSQL books is that the Kindle formatting is poor (with hundreds of times words are crammed together or extraneous spaces make reading a chore) or English is not the author's first language and he did not avail himself of a good editor. This book has multiple authors and the result is consistently polished. I did, however, find a few errors. This is to be expected from a brand new book (only two months old) and the errors were easily recognized. For example, in the MongoDB chapter, there are discrepancies between the discussion and actual query, where they don't agree on whether a person's age is being tested for 29 years or 30 years. In the DynamoDB chapter, valid characters are given for a string and I believe they included A-Z and z-z. Easy to catch and not a hindrance to understanding what they meant to say. Also, almost all the other NoSQL books I found were several years old. That's WAY too old for a subject as dynamic and quickly progressing as NoSQL.This book did an excellent job of detailing where specific DBs excel and fall short. After reading the various chapters, I was able to easily rule out a few of them (like the generally solid Cassandra) and hone in on what so far appears to be the best choice for the log data I intend to store: InfluxDB. I gained great respect for one I have heard a lot about, Redis, but learned that it is designed to keep all data in memory rather than on disk. This makes it an excellent choice for something like a web caching DB, but unusable for a database the size I will need. The book also confirmed that Amazon's DynamoDB would also be an acceptable choice for me, but would require more work on my part to make it do the job.For each of the seven DBs, the authors generally walk through installation and configuration, as well as database setup and queries. I thought this was best handled in the chapters on MongoDB and DynamoDB, as they went into more detail using examples of exactly how to write useful queries. So I new exactly what my queries would look like for each product. Where applicable, they included a lot of detail on data replication, fault tolerance, and discussed how these DBs work across multiple servers.A great book on what is a mysterious subject for many. I recommend starting with this book once you have done your initial research on NoSQL and understand the concepts. Once you are ready for solid DB suggestions, you can't beat this book.
Amazon Verified review Amazon
Amazon Customer May 22, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Yes, this book is very helpful. From experts to novices everyone can have this book as a quick reference.
Amazon Verified review Amazon
Shadab K. Feb 21, 2020
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
This book is only a decent overview of 7 NoSql DBs, certainly not worth 1700 odd bucks.
Amazon Verified review Amazon
Uwe Jun 04, 2019
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
Mehrfach fällt mir Folgendes bei Büchern von PACKT auf:* Viele Giiederungsüberschriften, deren Größe bereits viel Papier füllt.* Schlecht redigierter Text, teilweise haben Textblöcke keinen Bezug zueinander.* Sehr teuer im Vergleich zum Inhalt.Leider fügt sich auch dieses Buch in diese Reihe. Die Abschnitte werfen mehr Fragen auf, als sie Probleme lösen. Selbst als Nachschlagewerk sind die Kapitel zu dürftig.
Amazon Verified review Amazon
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