[PDF] Nosql With Mongodb In 24 Hours eBook

Author : Brad Dayley
Publisher : Sams Publishing
Page : 542 pages
File Size : 21,68 MB
Release : 2014-08-21
Category : Computers
ISBN : 0133844412

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NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL's potential to address even the most challenging Big Data and real-time database problems. Every NoSQL database is different, but one is the most popular by far: MongoDB. Now, in just 24 lessons of one hour or less, you can learn how to leverage MongoDB's immense power. Each short, easy lesson builds on all that's come before, teaching NoSQL concepts and MongoDB techniques from the ground up. Sams Teach Yourself NoSQL with MongoDB in 24 Hours covers all this, and much more: Learning how NoSQL is different, when to use it, and when to use traditional RDBMSes instead Designing and implementing MongoDB databases of diverse types and sizes Storing and interacting with data via Java, PHP, Python, and Node.js/Mongoose Choosing the right NoSQL distribution model for your application Installing and configuring MongoDB Designing MongoDB data models, including collections, indexes, and GridFS Balancing consistency, performance, and durability Leveraging the immense power of Map-Reduce Administering, monitoring, securing, backing up, and repairing MongoDB databases Mastering advanced techniques such as sharding and replication Optimizing performance

Author : Brad Dayley
Publisher : Pearson Education
Page : 542 pages
File Size : 22,95 MB
Release : 2015
Category : Computers
ISBN : 0672337134

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NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL's potential to address even the most challenging Big Data and real-time database problems. Every NoSQL database is different, but one is the most popular by far: MongoDB. Now, in just 24 lessons of one hour or less, you can learn how to leverage MongoDB's immense power. Each short, easy lesson builds on all that's come before, teaching NoSQL concepts and MongoDB techniques from the ground up. Sams Teach Yourself NoSQL with MongoDB in 24 Hours covers all this, and much more: Learning how NoSQL is different, when to use it, and when to use traditional RDBMSes instead Designing and implementing MongoDB databases of diverse types and sizes Storing and interacting with data via Java, PHP, Python, and Node.js/Mongoose Choosing the right NoSQL distribution model for your application Installing and configuring MongoDB Designing MongoDB data models, including collections, indexes, and GridFS Balancing consistency, performance, and durability Leveraging the immense power of Map-Reduce Administering, monitoring, securing, backing up, and repairing MongoDB databases Mastering advanced techniques such as sharding and replication Optimizing performance

Author : Brad Dayley
Publisher :
Page : pages
File Size : 39,57 MB
Release : 2015
Category :
ISBN :

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"The media elements for Sams Teach Yourself NoSQL with MongoDB in 24 Hours demonstrate key points in the text."--Resource description page.

Author : Brad Dayley
Publisher :
Page : 544 pages
File Size : 36,4 MB
Release : 2014
Category : Database management
ISBN :

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NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL's potential to address even the most challenging Big Data and real-time database problems. Every NoSQL database is different, but one is the most popular by far: MongoDB. Now, in just 24 lessons of one hour or less, you can learn how to leverage MongoDB's immense power. Each short, easy lesson builds on all that's come before, teaching NoSQL concepts and MongoDB techniques from the ground up. Sams Teach Yourself NoSQL with MongoDB in 24 Hours covers all this, and much more: Learning how NoSQL is different, when to use it, and when to use traditional RDBMSes instead Designing and implementing MongoDB databases of diverse types and sizes Storing and interacting with data via Java, PHP, Python, and Node.js/Mongoose Choosing the right NoSQL distribution model for your application Installing and configuring MongoDB Designing MongoDB data models, including collections, indexes, and GridFS Balancing consistency, performance, and durability Leveraging the immense power of Map-Reduce Administering, monitoring, securing, backing up, and repairing MongoDB databases Mastering advanced techniques such as sharding and replication Optimizing performance.

Author : Alex Nordeen
Publisher : Guru99
Page : 70 pages
File Size : 10,44 MB
Release : 2020-09-15
Category : Computers
ISBN :

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MongoDB gives flexibility in compare to RDBMS. It has features like dynamic schemas, storage for large volume data, scaling database architecture, real-time data reporting, data sharding, and so on. It enables to develop application faster. To address all these features in a concise manner, this e-book is created. This e-book has explained features of MongoDB, that is important from the point of Big data analytics. It makes clear the confusion over MySQL and NoSQL working pattern. It has accommodated all the topics on MongoDB with examples. It guides you right through setting up MongoDB environment to security requirements. The book is too small, but all important aspect of MongoDB is covered. The examples and code are explained in a manner that beginners can easily absorb the content. The book has also illustrated various shell commands to access MongoDB. Not only that, but the user will also explore about JSON document and creating queries in MongoDB. The book can be used for further reference for application build on MongoDB Java or MongoDB Python. Minimum price range and maximum deliverable is the main plus point of this e-book. Table Of Content Chapter 1: Introduction Chapter 2: Download and Install MongoDB on Windows Download & Install MongoDB on Windows Install Driver- Javascript, Python and Ruby Install Robomongo- MongoDB Management Tool MongoDB Configuration, Import and Export Configuring MongoDB server with configuration file Chapter 3: Create Database & Insert Data Creating a database Creating a collection Chapter 4: Add MongoDB Array using insert() Chapter 5: ObjectId() Chapter 6: Query Document using find() Chapter 7: Cursor Chapter 8: Query Modifications using limit(), sort() Chapter 9: Count() & remove() function Chapter 10: Update() Document Chapter 11: Indexing, Monitoring & Backup Chapter 12: How to Create User in Mongodb & assign Roles Chapter 13: Authentication with Kerberos Chapter 14: Replica Set Replica Set: Adding the First Member using rs.initiate() Replica Set: Adding a Secondary using rs.add() Replica Set: Reconfiguring or Removing using rs.remove() Troubleshooting Replica Sets Chapter 15: Sharded Cluster Chapter 16: Indexing - createIndex() Understanding Impact of Indexes Create Indexes Finding Indexes Dropping Indexes Chapter 17: Regular Expression (Regex) Using $regex operator for Pattern matching Pattern Matching with $options Pattern matching without the regex operator Fetching last 'n' documents from a collection

Author : Alex Nordeen
Publisher : Guru99
Page : 68 pages
File Size : 47,19 MB
Release : 2020-09-15
Category : Computers
ISBN :

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HBase data storage technology is rapidly adopted by traditional RDMS users. Unlike RDMS, where scaling the server vertically for a huge data is a big challenge. With HBase, you can do this easily. It allows you to integrate with Hadoop's MapReduce framework for massively parallelized data processing jobs. Many expert and beginners are asking for a point-to-point guide that helps them to get a complete insight on HBase working. This book will answer all their queries and give them a complete tour of HBase technology. In this edition, you will begin with some very basic concept like HBase’s architecture, including the storage format, write-ahead log, background processes, and some of the advance topics. You will also learn about accessing HBase with native Java clients, how to tune clusters, design schemas, copy tables, etc. So far if tracking other resources for HBase have disappointed you, you must try this e-book. It is cheap, easy to comprehend and concise in its content. The examples and images are an additional benefit of this book. While to enhance your knowledge pool for related topics, more referrals and links are provided. Table Of Contents Chapter 1: Introduction Chapter 2: Architecture, Data Flow, and Use cases Storage Mechanism in Hbase HBase Architecture and its Important Components Data flow in HBase HBASE vs. HDFS Chapter 3: Installation Guide How to Download Hbase tar file stable version Hbase - Standalone mode installation Hbase - Pseudo Distributed mode of installation Hbase - Fully Distributed mode installation Chapter 4: Shell and General Commands General commands Tables Managements commands Data manipulation commands Cluster Replication Commands Chapter 5: Handling Tables Creation of Table with Rows and Column names Placing values into tables and retrieving values from table Retrieving Inserted Values in HBase shell mode Chapter 6: Limitations, Advantage & Problems Chapter 7: Troubleshooting

Author : Alex Nordeen
Publisher : Guru99
Page : 67 pages
File Size : 11,51 MB
Release : 2020-09-15
Category : Computers
ISBN :

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This book is a step by step beginners guide to learning Cassandra. The book uses tons of charts, graphs, images and code to aid your Cassandra learning. The book gives a detailed introduction to Cassandra. It proceeds to give step-by-step instructions to installing Cassandra. Cassandra Architecture and Replication Factor Strategy is lucidly explained. Data Modelling, Keyspace CQL are also described in detail. The book will teach you enough to get started with Cassandra. Here is what is included Table Of Content Chapter 1: Introduction 1. Cassandra History 2. Nosql Cassandra Database 3. Nosql Cassandra Database Vs Relational databases 4. Apache Cassandra Features 5. Cassandra Use Cases Chapter 2: Download and Install 1. Prerequisite for Apache Cassandra Installation 2. How to Download and Install Cassandra Chapter 3: Architecture 1. Components of Cassandra 2. Data Replication 3. Write Operation 4. Read Operation Chapter 4: Data Model and Rules 1. Cassandra Data Model Rules 2. Model Your Data in Cassandra 3. Handling One to One Relationship 4. Handling one to many Relationship 5. Handling Many to Many Relationship Chapter 5: Cassandra CQL 1. Create, Alter & Drop Keyspace 2. Cassandra Table: Create, Alter, Drop & Truncate 3. Cassandra Query Language(CQL): Insert, Update, Delete, Read Data 4. Create & Drop INDEX 5. Data Types & Expiration 6. SET, LIST & MAP Chapter 6: Cassandra Cluster 1. Prerequisites for Cassandra Cluster 2. Enterprise Edition Installation 3. Starting Cassandra Node Chapter 7: DevCenter & OpsCenter Installation 1. DevCenter Installation 2. OpsCenter Installation Chapter 8: Security 1. What is Internal Authentication and Authorization 2. Configure Authentication and Authorization 3. Logging in 4. Create New User 5. Authorization 6. Configuring Firewall 7. Enabling JMX Authentication

Author : Alex Nordeen
Publisher : Guru99
Page : 74 pages
File Size : 38,92 MB
Release : 2020-10-31
Category : Computers
ISBN :

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Node.js supports both client and server side applications. It is based on JavaScript and is very fast in operation. These distinctive features made node.js as one of the most powerful framework in the Java Ecosystem. JavaScript alone allows you to build real-time and scalable mobile and web applications. With this e-book, you will explore more on the node.js framework and how to use it efficiently for web development. Average developers or beginners who struggle to understand node.js basics will find this book very helpful and productive. The book tried to put examples that simplify problems usually faced by the users like how asynchronous code works, what are modules, how big file can be read, node.js express, etc. You will find that lots of concepts that take a long time to master can be learned in a day or two. If this is your first interaction with node.js and don’t want all sort of troubles that arise with the node, this edition is recommended. After going through this e-book, node.js will become an absolute pleasure. Table of content Chapter 1: Introduction 1. Introduction to Node.js 2. What is Node.js? 3. Why use Node.js? 4. Features of Node.js 5. Who uses Node.js 6. When to Use Node.js 7. When to not use Node.js Chapter 2: How to Download & Install Node.js - NPM on Windows 1. How to install Node.js on Windows 2. Installing NPM (Node Package Manager) on Windows 3. Running your first Hello World application in Node.js Chapter 3: Node.js NPM Tutorial: Create, Publish, Extend & Manage 1. What are modules in Node.js? 2. Using modules in Node.js 3. Creating NPM modules 4. Extending modules 5. Publishing NPM(Node Package Manager) Modules 6. Managing third party packages with npm 7. What is the package.json file Chapter 4: Create HTTP Web Server in Node.js: Complete Tutorial 1. Node as a web server using HTTP 2. Handling GET Requests in Node.js Chapter 5: Node.js Express FrameWork Tutorial 1. What is Express.js? 2. Installing and using Express 3. What are Routes? 4. Sample Web server using express.js Chapter 6: Node.js MongoDB Tutorial with Examples 1. Node.js and NoSQL Databases 2. Using MongoDB and Node.js 3. How to build a node express app with MongoDB to store and serve content Chapter 7: Node.js Promise Tutorial 1. What are promises? 2. Callbacks to promises 3. Dealing with nested promises 4. Creating a custom promise Chapter 8: Bluebird Promises Tutorial Chapter 9: Node.js Generators & Compare with Callbacks 1. What are generators? 2. Callbacks vs. generators Chapter 10: Node js Streams Tutorial: Filestream, Pipes 1. Filestream in Node.js 2. Pipes in Node.js 3. Events in Node.js 4. Emitting Events Chapter 11: Node.js Unit Testing Tutorial with Jasmine 1. Overview of Jasmine for testing Node.js applications 2. How to use Jasmine to test Node.js applications Chapter 12: Node.Js Vs AngularJS: Know the Difference 1. What is Node JS? 2. What is Angular JS? 3. Node JS VS. Angular JS 4. What Is Better Node JS Or Angular JS? Chapter 13: Node.js Vs Python: What's the Difference? 1. What is Node.js? 2. What is Python? 3. Node.JS Vs. Python 4. When to use Node js? 5. When to use Python?

Author : Alex Nordeen
Publisher : Guru99
Page : 131 pages
File Size : 39,45 MB
Release : 2022-07-18
Category : Computers
ISBN :

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Table Of Content Chapter 1: What is DBMS (Database Management System)? Application, Types & Example What is a Database? What is DBMS? Example of a DBMS History of DBMS Characteristics of Database Management System DBMS vs. Flat File Users in a DBMS environment Popular DBMS Software Application of DBMS Types of DBMS Advantages of DBMS Disadvantage of DBMS When not to use a DBMS system? Chapter 2: Database Architecture in DBMS: 1-Tier, 2-Tier and 3-Tier What is Database Architecture? Types of DBMS Architecture 1-Tier Architecture 2-Tier Architecture 3-Tier Architecture Chapter 3: DBMS Schemas: Internal, Conceptual, External Internal Level/Schema Conceptual Schema/Level External Schema/Level Goal of 3 level/schema of Database Advantages Database Schema Disadvantages Database Schema Chapter 4: Relational Data Model in DBMS: Concepts, Constraints, Example What is Relational Model? Relational Model Concepts Relational Integrity Constraints Operations in Relational Model Best Practices for creating a Relational Model Advantages of using Relational Model Disadvantages of using Relational Model Chapter 5: ER Diagram: Entity Relationship Diagram Model | DBMS Example What is ER Diagram? What is ER Model? History of ER models Why use ER Diagrams? Facts about ER Diagram Model ER Diagrams Symbols & Notations Components of the ER Diagram WHAT IS ENTITY? Relationship Weak Entities Attributes Cardinality How to Create an Entity Relationship Diagram (ERD) Best Practices for Developing Effective ER Diagrams Chapter 6: Relational Algebra in DBMS: Operations with Examples Relational Algebra Basic SQL Relational Algebra Operations SELECT (s) Projection(π) Rename (ρ) Union operation (υ) Set Difference (-) Intersection Cartesian product(X) Join Operations Inner Join: Theta Join: EQUI join: NATURAL JOIN (⋈) OUTER JOIN Left Outer Join(A B) Right Outer Join: ( AB ) Full Outer Join: ( AB) Chapter 7: DBMS Transaction Management: What are ACID Properties? What is a Database Transaction? Facts about Database Transactions Why do you need concurrency in Transactions? States of Transactions What are ACID Properties? Types of Transactions What is a Schedule? Chapter 8: DBMS Concurrency Control: Timestamp & Lock-Based Protocols What is Concurrency Control? Potential problems of Concurrency Why use Concurrency method? Concurrency Control Protocols Lock-based Protocols Two Phase Locking Protocol Timestamp-based Protocols Validation Based Protocol Characteristics of Good Concurrency Protocol Chapter 9: DBMS Keys: Candidate, Super, Primary, Foreign Key Types with Example What are Keys in DBMS? Why we need a Key? Types of Keys in DBMS (Database Management System) What is the Super key? What is a Primary Key? What is the Alternate key? What is a Candidate Key? What is the Foreign key? What is the Compound key? What is the Composite key? What is a Surrogate key? Difference Between Primary key & Foreign key Chapter 10: Functional Dependency in DBMS: What is, Types and Examples What is Functional Dependency? Key terms Rules of Functional Dependencies Types of Functional Dependencies in DBMS What is Normalization? Advantages of Functional Dependency Chapter 11: Data Independence in DBMS: Physical & Logical with Examples What is Data Independence of DBMS? Types of Data Independence Levels of Database Physical Data Independence Logical Data Independence Difference between Physical and Logical Data Independence Importance of Data Independence Chapter 12: Hashing in DBMS: Static & Dynamic with Examples What is Hashing in DBMS? Why do we need Hashing? Important Terminologies using in Hashing Static Hashing Dynamic Hashing Comparison of Ordered Indexing and Hashing What is Collision? How to deal with Hashing Collision? Chapter 13: SQL Commands: DML, DDL, DCL, TCL, DQL with Query Example What is SQL? Why Use SQL? Brief History of SQL Types of SQL What is DDL? What is Data Manipulation Language? What is DCL? What is TCL? What is DQL? Chapter 14: DBMS Joins: Inner, Left Outer, THETA Types of Join Operations What is Join in DBMS? Inner Join Theta Join EQUI join: Natural Join (⋈) Outer Join Left Outer Join (A B) Right Outer Join (AB) Full Outer Join (AB) Chapter 15: Indexing in DBMS: What is, Types of Indexes with EXAMPLES What is Indexing? Types of Indexing Primary Index Secondary Index Clustering Index What is Multilevel Index? B-Tree Index Advantages of Indexing Disadvantages of Indexing Chapter 16: DBMS vs RDBMS: Difference between DBMS and RDBMS What is DBMS? What is RDBMS? KEY DIFFERENCE Difference between DBMS vs RDBMS Chapter 17: File System vs DBMS: Key Differences What is a File system? What is DBMS? KEY DIFFERENCES: Features of a File system Features of DBMS Difference between filesystem vs. DBMS Advantages of File system Advantages of DBMS system Application of File system Application of the DBMS system Disadvantages of File system Disadvantages of the DBMS system Chapter 18: SQL vs NoSQL: What’s the Difference Between SQL and NoSQL What is SQL? What is NoSQL? KEY DIFFERENCE Difference between SQL and NoSQL When use SQL? When use NoSQL? Chapter 19: Clustered vs Non-clustered Index: Key Differences with Example What is an Index? What is a Clustered index? What is Non-clustered index? KEY DIFFERENCE Characteristic of Clustered Index Characteristics of Non-clustered Indexes An example of a clustered index An example of a non-clustered index Differences between Clustered Index and NonClustered Index Advantages of Clustered Index Advantages of Non-clustered index Disadvantages of Clustered Index Disadvantages of Non-clustered index Chapter 20: Primary Key vs Foreign Key: What’s the Difference? What are Keys? What is Database Relationship? What is Primary Key? What is Foreign Key? KEY DIFFERENCES: Why use Primary Key? Why use Foreign Key? Example of Primary Key Example of Foreign Key Difference between Primary key and Foreign key Chapter 21: Primary Key vs Unique Key: What’s the Difference? What is Primary Key? What is Unique Key? KEY DIFFERENCES Why use Primary Key? Why use Unique Key? Features of Primary Key Features of Unique key Example of Creating Primary Key Example of Creating Unique Key Difference between Primary key and Unique key What is better? Chapter 22: Row vs Column: What’s the Difference? What is Row? What is Column? KEY DIFFERENCES Row Examples: Column Examples: When to Use Row-Oriented Storage When to use Column-oriented storage Difference between Row and Columns Chapter 23: Row vs Column: What’s the Difference? What is DDL? What is DML? KEY DIFFERENCES: Why DDL? Why DML? Difference Between DDL and DML in DBMS Commands for DDL Commands for DML DDL Command Example DML Command Example

Author : Jeffrey Aven
Publisher : Sams Publishing
Page : 496 pages
File Size : 18,26 MB
Release : 2017-04-07
Category : Computers
ISBN : 0134456726

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Apache Hadoop is the technology at the heart of the Big Data revolution, and Hadoop skills are in enormous demand. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to deploy each key component of a Hadoop platform in your local environment or in the cloud, building a fully functional Hadoop cluster and using it with real programs and datasets. Each short, easy lesson builds on all that's come before, helping you master all of Hadoop's essentials, and extend it to meet your unique challenges. Apache Hadoop in 24 Hours, Sams Teach Yourself covers all this, and much more: Understanding Hadoop and the Hadoop Distributed File System (HDFS) Importing data into Hadoop, and process it there Mastering basic MapReduce Java programming, and using advanced MapReduce API concepts Making the most of Apache Pig and Apache Hive Implementing and administering YARN Taking advantage of the full Hadoop ecosystem Managing Hadoop clusters with Apache Ambari Working with the Hadoop User Environment (HUE) Scaling, securing, and troubleshooting Hadoop environments Integrating Hadoop into the enterprise Deploying Hadoop in the cloud Getting started with Apache Spark Step-by-step instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid pitfalls. By the time you're finished, you'll be comfortable using Apache Hadoop to solve a wide spectrum of Big Data problems.