Learning Couchbase

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Learning Couchbase

Author : Henry Potsangbam
Publisher : Packt Publishing Ltd
ISBN 13 : 1785284282
Total Pages : 248 pages
Book Rating : 4.7/5 (852 download)

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Book Synopsis Learning Couchbase by : Henry Potsangbam

Download or read book Learning Couchbase written by Henry Potsangbam and published by Packt Publishing Ltd. This book was released on 2015-11-23 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design documents and implement real world e-commerce applications with Couchbase About This Book Get acquainted with Couchbase architecture and design your document-based data schema Implement full text search using industry standard elastic search plugins Develop critical and high performance applications using this hands-on tutorial guide Who This Book Is For If you are new to the NoSQL document system or have little or no experience in NoSQL development and administration and are planning to deploy Couchbase for your next project, then this book is for you. It would be helpful to have a bit of familiarity with Java. What You Will Learn Get acquainted with the concept of NoSQL databases and configure your Couchbase database cluster Maintain Couchbase effectively using the web-based administrative console with ease Enable partition capabilities by making use of Buckets Analyze important design considerations for maintaining relationship between various documents Use Couchbase SDK Java API to store and retrieve document Write views using map/reduce to retrieve documents efficiently Get familiar with N1QL and how to use it in Java applications Integrate Couchbase with Elasticsearch to implement full text search Configure XDCR for disaster recovery and develop ecommerce application using Couchbase In Detail NoSQL database systems have changed application development in terms of adaptability to dynamics schema and scalability. Compared with the currently available NoSQL database systems, Couchbase is the fastest. Its ease of configuration and powerful features for storing different schema structures, retrieval using map reduce and inbuilt disaster recovery by replicating document across the geographical region, make it one of the most powerful, scalable and comprehensive NoSQL in the market. Couchbase also introduces smart client API for various programming language to integrate the database with the application easily, yet providing very complex features like cluster health awareness. This book achieves its goal by taking up an end-to-end development structure, right from understanding NOSQL document design to implementing full fledged eCommerce application design using Couchbase as a backend. Starting with the architecture of Couchbase to get you up and running, this book quickly takes you through designing a NoSQL document and implementing highly scalable applications using Java API. You will then be introduced to document design and get to know the various ways to administer Couchbase. Followed by this, learn to store documents using bucket. Moving on, you will then learn to store, retrieve and delete documents using smart client base on Java API. You will then retrieve documents using SQL like syntax call N1QL. Next, you will learn how to write map reduce base views. Finally, you will configure XDCR for disaster recovery and implement an eCommerce application using Couchbase. Style and approach The book starts from absolute basics and slowly moves to more advanced topics ensuring at every step that all concepts and terms are understood by the reader to have complete understanding at every stage. Technical and complex terms are explained in clear and simple language, thus making this book a perfect companion for those who have started their journey to NoSQL using Couchbase

SQL++ for SQL Users

Author : Don Chamberlin
Publisher :
ISBN 13 : 9780692184509
Total Pages : pages
Book Rating : 4.1/5 (845 download)

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Book Synopsis SQL++ for SQL Users by : Don Chamberlin

Download or read book SQL++ for SQL Users written by Don Chamberlin and published by . This book was released on 2018-09-05 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Getting Started with Couchbase Server

Author : MC Brown
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449331025
Total Pages : 91 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Getting Started with Couchbase Server by : MC Brown

Download or read book Getting Started with Couchbase Server written by MC Brown and published by "O'Reilly Media, Inc.". This book was released on 2012-06-08 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you know what to do if your web application goes viral and usage suddenly explodes? This concise guide introduces you to Couchbase Server, an extremely fast NoSQL database that automatically distributes data across a cluster of commodity servers or virtual machines. You’ll learn hands-on how to build a Couchbase cluster without changing your application, and how to expand your database on the fly without interrupting service. Discover how this open source server can help your application gain scalability and performance. Learn how the server’s architecture affects the way you build and deploy your database Store data without defining a data structure—and retrieve it without complex queries or query languages Use a formula to estimate your cluster size requirements Set up individual nodes through a browser, command line, or REST API Enable your application to read and write data with sub-millisecond latency through managed object caching Get a quick guide to building applications that integrate Couchbase’s core protocol Identify problems in your cluster with the web console Expand or shrink your cluster, handle failovers, and back up data

Intelligent Systems in Big Data, Semantic Web and Machine Learning

Author : Noreddine Gherabi
Publisher : Springer Nature
ISBN 13 : 303072588X
Total Pages : 315 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Intelligent Systems in Big Data, Semantic Web and Machine Learning by : Noreddine Gherabi

Download or read book Intelligent Systems in Big Data, Semantic Web and Machine Learning written by Noreddine Gherabi and published by Springer Nature. This book was released on 2021-05-28 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial intelligence techniques for detecting COVID-19, the Internet of things, etc. The book is meant to be a very important and useful source of information for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.

Developing with Couchbase Server

Author : MC Brown
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449331122
Total Pages : 88 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Developing with Couchbase Server by : MC Brown

Download or read book Developing with Couchbase Server written by MC Brown and published by "O'Reilly Media, Inc.". This book was released on 2013-02-01 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today’s highly interactive websites pose a challenge for traditional SQL databases—the ability to scale rapidly and serve loads of concurrent users. With this concise guide, you’ll learn how to build web applications on top of Couchbase Server 2.0, a NoSQL database that can handle websites and social media where hundreds of thousands of users read and write large volumes of information. Using food recipe information as examples, this book demonstrates how to take advantage of Couchbase’s document-oriented database design, and how to store and query data with various CRUD operations. Discover why Couchbase is better than SQL databases with memcached tiers for managing data from the most interactive portions of your application. Learn about Couchbase Server’s cluster-based architecture and how it differs from SQL databases Choose a client library for Java, .NET, Ruby, Python, PHP, or C, and connect to a cluster Structure data in a variety of formats, from serialized objects, a stream of raw bytes, or as JSON documents Learn core storage and retrieval methods, including document IDs, expiry times, and concurrent updates Create views with map/reduce and learn Couchbase mechanisms for querying and selection

Couchbase Essentials

Author : John Zablocki
Publisher : Packt Publishing Ltd
ISBN 13 : 1784397857
Total Pages : 170 pages
Book Rating : 4.7/5 (843 download)

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Book Synopsis Couchbase Essentials by : John Zablocki

Download or read book Couchbase Essentials written by John Zablocki and published by Packt Publishing Ltd. This book was released on 2015-02-25 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is for those application developers who want to achieve greater flexibility and scalability from their software. Whether you are familiar with other NoSQL databases or have only used relational systems, this book will provide you with enough background to move you along at your own pace. If you are new to NoSQL document databases, the design discussions and introductory material will give you the information you need to get started with Couchbase.

Machine Learning Systems

Author : Jeffrey Smith
Publisher : Simon and Schuster
ISBN 13 : 1638355363
Total Pages : 339 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Machine Learning Systems by : Jeffrey Smith

Download or read book Machine Learning Systems written by Jeffrey Smith and published by Simon and Schuster. This book was released on 2018-05-21 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Machine Learning Systems: Designs that scale is an example-rich guide that teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app. Foreword by Sean Owen, Director of Data Science, Cloudera Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology If you’re building machine learning models to be used on a small scale, you don't need this book. But if you're a developer building a production-grade ML application that needs quick response times, reliability, and good user experience, this is the book for you. It collects principles and practices of machine learning systems that are dramatically easier to run and maintain, and that are reliably better for users. About the Book Machine Learning Systems: Designs that scale teaches you to design and implement production-ready ML systems. You'll learn the principles of reactive design as you build pipelines with Spark, create highly scalable services with Akka, and use powerful machine learning libraries like MLib on massive datasets. The examples use the Scala language, but the same ideas and tools work in Java, as well. What's Inside Working with Spark, MLlib, and Akka Reactive design patterns Monitoring and maintaining a large-scale system Futures, actors, and supervision About the Reader Readers need intermediate skills in Java or Scala. No prior machine learning experience is assumed. About the Author Jeff Smith builds powerful machine learning systems. For the past decade, he has been working on building data science applications, teams, and companies as part of various teams in New York, San Francisco, and Hong Kong. He blogs (https: //medium.com/@jeffksmithjr), tweets (@jeffksmithjr), and speaks (www.jeffsmith.tech/speaking) about various aspects of building real-world machine learning systems. Table of Contents PART 1 - FUNDAMENTALS OF REACTIVE MACHINE LEARNING Learning reactive machine learning Using reactive tools PART 2 - BUILDING A REACTIVE MACHINE LEARNING SYSTEM Collecting data Generating features Learning models Evaluating models Publishing models Responding PART 3 - OPERATING A MACHINE LEARNING SYSTEM Delivering Evolving intelligence

Learning Dapr

Author : Haishi Bai
Publisher : O'Reilly Media
ISBN 13 : 1492072397
Total Pages : 220 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Learning Dapr by : Haishi Bai

Download or read book Learning Dapr written by Haishi Bai and published by O'Reilly Media. This book was released on 2020-08-24 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the authoritative guide to Dapr, the distributed application runtime that works with new and existing programming languages alike. Written by the model’s creators, this introduction shows you how Dapr not only unifies stateless, stateful, and actor programming models but also runs everywhere—in the cloud or on the edge. Authors Haishi Bai and Yaron Schneider, both with Microsoft’s Azure CTO team, explain that, with Dapr, you don’t need to include any SDKs or libraries in your user code. Instead, you automatically get flexible binding, state management, the actor pattern, pub-sub, reliable messaging, and many more features. This book shows developers, architects, CIOs, students, and computing enthusiasts how to get started with Dapr. Learn the new programming model for cloud native applications Write high-performance distributed applications without drilling into technical details Use Dapr with any language or framework to write microservices easily Learn how Dapr provides consistency and portability through open APIs and extensible, community-driven components Explore how Dapr handles state, resource bindings, and pub-sub messaging to enable resilient event-driven architectures that scale Integrate cloud applications with various SaaS offerings, such as machine learning

Couchbase on Kubernetes

Author : Anil Kumar
Publisher :
ISBN 13 : 9780692039724
Total Pages : 78 pages
Book Rating : 4.0/5 (397 download)

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Book Synopsis Couchbase on Kubernetes by : Anil Kumar

Download or read book Couchbase on Kubernetes written by Anil Kumar and published by . This book was released on 1918-10-05 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Couchbase Autonomous Operator for Kubernetes is an application-specific controller that vastly reduces complexity, human error and manual management of database services, resulting in streamlined operations, more efficient consumption of resources and cloud portability. Couchbase Autonomous Operator extends the Kubernetes API to create, configure and manage instances of complex stateful applications on behalf of a Kubernetes user. It builds upon the basic Kubernetes resource and controller concepts, but also includes the domain or application-specific knowledge to automate common tasks better managed by computers. Whether an enterprise is using a single-provider, hybrid cloud or cross-cloud strategy, Couchbase Autonomous Operator is deployment agnostic, thereby enabling multi-cloud deployment and migration seamlessly. As Kubernetes continues to gain momentum and IT organizations increasingly adopt cloud computing and embrace newer technologies like microservices, mobile, IoT and more, Couchbase identified the following key roadblocks that hinder progress: - High operational costs: Manually deploying and managing hundreds of database instances across multiple geographies increases cost, effort, and complexity. - Vendor lock-in: A lack of standardization to ensure data can be moved freely and safely between cloud providers has made it difficult to switch providers quickly or work with multiple providers. - Delayed time to market: Customers with applications using microservice architectures have difficulties managing and scaling database clusters in siloed systems, extending development times and making it harder to support their applications.The Couchbase Autonomous Operator for Kubernetes was built to address and overcome these challenges for the enterprise by providing: - Automated operations: Beta users report reductions of up to 95 percent of the operational complexity, which lowers operational costs. - Cloud-agnostic deployment and management: Offers enterprise customers with multi-cloud strategies the ability to deploy, manage and move their applications to and from any cloud, at any time. - Unmatched agility and flexibility: Allows customers who have adopted microservice architectures to run their database next to their application, reducing the DevOps cycle and decreasing time to market.

Scalable Big Data Architecture

Author : Bahaaldine Azarmi
Publisher : Apress
ISBN 13 : 1484213262
Total Pages : 147 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Scalable Big Data Architecture by : Bahaaldine Azarmi

Download or read book Scalable Big Data Architecture written by Bahaaldine Azarmi and published by Apress. This book was released on 2015-12-31 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance. Scalable Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications , which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book demonstrates how data processing can be done at scale from the usage of NoSQL datastores to the combination of Big Data distribution. When the data processing is too complex and involves different processing topology like long running jobs, stream processing, multiple data sources correlation, and machine learning, it’s often necessary to delegate the load to Hadoop or Spark and use the No-SQL to serve processed data in real time. This book shows you how to choose a relevant combination of big data technologies available within the Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every pattern is illustrated with practical examples, which use the different open sourceprojects such as Logstash, Spark, Kafka, and so on. Traditional data infrastructures are built for digesting and rendering data synthesis and analytics from large amount of data. This book helps you to understand why you should consider using machine learning algorithms early on in the project, before being overwhelmed by constraints imposed by dealing with the high throughput of Big data. Scalable Big Data Architecture is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a Big Data project and which tools to integrate into that pattern.

Learning Elastic Stack 6.0

Author : Pranav Shukla
Publisher : Packt Publishing Ltd
ISBN 13 : 1787285863
Total Pages : 427 pages
Book Rating : 4.7/5 (872 download)

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Book Synopsis Learning Elastic Stack 6.0 by : Pranav Shukla

Download or read book Learning Elastic Stack 6.0 written by Pranav Shukla and published by Packt Publishing Ltd. This book was released on 2017-12-22 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deliver end-to-end real-time distributed data processing solutions by leveraging the power of Elastic Stack 6.0 Key Features - Get to grips with the new features introduced in Elastic Stack 6.0 - Get valuable insights from your data by working with the different components of the Elastic stack such as Elasticsearch, Logstash, Kibana, X-Pack, and Beats - Includes handy tips and techniques to build, deploy and manage your Elastic applications efficiently on-premise or on the cloud Book Description The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. After a quick overview of the newly introduced features in Elastic Stack 6.0, you’ll learn how to set up the stack by installing the tools, and see their basic configurations. Then it shows you how to use Elasticsearch for distributed searching and analytics, along with Logstash for logging, and Kibana for data visualization. It also demonstrates the creation of custom plugins using Kibana and Beats. You’ll find out about Elastic X-Pack, a useful extension for effective security and monitoring. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. On completing this book, you’ll have a solid foundational knowledge of the basic Elastic Stack functionalities. You’ll also have a good understanding of the role of each component in the stack to solve different data processing problems. What you will learn - Familiarize yourself with the different components of the Elastic Stack - Get to know the new functionalities introduced in Elastic Stack 6.0 - Effectively build your data pipeline to get data from terabytes or petabytes of data into Elasticsearch and Logstash for searching and logging - Use Kibana to visualize data and tell data stories in real-time - Secure, monitor, and use the alerting and reporting capabilities of Elastic Stack - Take your Elastic application to an on-premise or cloud-based production environment Who this book is for This book is for data professionals who want to get amazing insights and business metrics from their data sources. If you want to get a fundamental understanding of the Elastic Stack for distributed, real-time processing of data, this book will help you. A fundamental knowledge of JSON would be useful, but is not mandatory. No previous experience with the Elastic Stack is required.

Learning PySpark

Author : Tomasz Drabas
Publisher : Packt Publishing Ltd
ISBN 13 : 1786466252
Total Pages : 273 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Learning PySpark by : Tomasz Drabas

Download or read book Learning PySpark written by Tomasz Drabas and published by Packt Publishing Ltd. This book was released on 2017-02-27 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 About This Book Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0 Develop and deploy efficient, scalable real-time Spark solutions Take your understanding of using Spark with Python to the next level with this jump start guide Who This Book Is For If you are a Python developer who wants to learn about the Apache Spark 2.0 ecosystem, this book is for you. A firm understanding of Python is expected to get the best out of the book. Familiarity with Spark would be useful, but is not mandatory. What You Will Learn Learn about Apache Spark and the Spark 2.0 architecture Build and interact with Spark DataFrames using Spark SQL Learn how to solve graph and deep learning problems using GraphFrames and TensorFrames respectively Read, transform, and understand data and use it to train machine learning models Build machine learning models with MLlib and ML Learn how to submit your applications programmatically using spark-submit Deploy locally built applications to a cluster In Detail Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This book will show you how to leverage the power of Python and put it to use in the Spark ecosystem. You will start by getting a firm understanding of the Spark 2.0 architecture and how to set up a Python environment for Spark. You will get familiar with the modules available in PySpark. You will learn how to abstract data with RDDs and DataFrames and understand the streaming capabilities of PySpark. Also, you will get a thorough overview of machine learning capabilities of PySpark using ML and MLlib, graph processing using GraphFrames, and polyglot persistence using Blaze. Finally, you will learn how to deploy your applications to the cloud using the spark-submit command. By the end of this book, you will have established a firm understanding of the Spark Python API and how it can be used to build data-intensive applications. Style and approach This book takes a very comprehensive, step-by-step approach so you understand how the Spark ecosystem can be used with Python to develop efficient, scalable solutions. Every chapter is standalone and written in a very easy-to-understand manner, with a focus on both the hows and the whys of each concept.

Spring Data

Author : Mark Pollack
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449323952
Total Pages : 315 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Spring Data by : Mark Pollack

Download or read book Spring Data written by Mark Pollack and published by "O'Reilly Media, Inc.". This book was released on 2012-10-24 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: You can choose several data access frameworks when building Java enterprise applications that work with relational databases. But what about big data? This hands-on introduction shows you how Spring Data makes it relatively easy to build applications across a wide range of new data access technologies such as NoSQL and Hadoop. Through several sample projects, you’ll learn how Spring Data provides a consistent programming model that retains NoSQL-specific features and capabilities, and helps you develop Hadoop applications across a wide range of use-cases such as data analysis, event stream processing, and workflow. You’ll also discover the features Spring Data adds to Spring’s existing JPA and JDBC support for writing RDBMS-based data access layers. Learn about Spring’s template helper classes to simplify the use of database-specific functionality Explore Spring Data’s repository abstraction and advanced query functionality Use Spring Data with Redis (key/value store), HBase (column-family), MongoDB (document database), and Neo4j (graph database) Discover the GemFire distributed data grid solution Export Spring Data JPA-managed entities to the Web as RESTful web services Simplify the development of HBase applications, using a lightweight object-mapping framework Build example big-data pipelines with Spring Batch and Spring Integration

Getting Started with CouchDB

Author : Martin C. Brown
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449307558
Total Pages : 83 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Getting Started with CouchDB by : Martin C. Brown

Download or read book Getting Started with CouchDB written by Martin C. Brown and published by "O'Reilly Media, Inc.". This book was released on 2012 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: CouchDB is a new breed of database for the Internet, geared to meet the needs of today's dynamic web applications. With this concise introduction, you'll learn how CouchDB's simple model for storing, processing, and accessing data makes it ideal for the type of data and rapid response users now demand from your applications--and how easy CouchDB is to set up, deploy, maintain, and scale. The code-packed examples in this book will help you learn how to work with documents, populate a simple database, replicate data from one database to another, and a host of other tasks. Install CouchDB on Linux, Mac OS X, Windows, or (if you must) from the source code Interact with data through CouchDB's RESTful API, and use standard HTTP operations, such as PUT, GET, POST, and DELETE Use Futon--CouchDB's web-based interface-- to manage databases and documents, and to configure replications Learn how to create, update, and delete documents in JSON format, and how to create and delete databases Work with design documents to get the formatting and indexing your application requires

Pro MongoDB Development

Author : Deepak Vohra
Publisher : Apress
ISBN 13 : 1484215982
Total Pages : 493 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Pro MongoDB Development by : Deepak Vohra

Download or read book Pro MongoDB Development written by Deepak Vohra and published by Apress. This book was released on 2015-12-30 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pro MongoDB Development is about MongoDB, a NoSQL database based on the BSON (binary JSON) document model. The book discusses all aspects of using MongoDB in web applications: Java, PHP, Ruby, JavaScript are the most commonly used programming/scripting languages and the book discusses accessing MongoDB database with these languages. The book also discusses using Java EE frameworks Kundera and Spring Data with MongoDB. As NoSQL databases are commonly used with the Hadoop ecosystem the book also discusses using MongoDB with Apache Hive. Migration from other NoSQL databases (Apache Cassandra and Couchbase) and from relational databases (Oracle Database) is also discussed. What You'll Learn: How to use a Java client and MongoDB shell How to use MongoDB with PHP, Ruby, and Node.js as well How to migrate Apache Cassandra tables to MongoDB documents; Couchbase to MongoDB; and transferring data between Oracle and MongoDB How to use Kundera, Spring Data, and Spring XD with MongoDB How to load MongoDB data into Oracle Database and integrating MongoDB with Oracle Database in Oracle Data Integrator Audience: The target audience of the book is NoSQL database developers. Target audience includes Java, PHP and Ruby developers. The book is suitable for an intermediate level course in NoSQL database.

Connecting the Dots

Author : John Chambers
Publisher : Hachette Books
ISBN 13 : 0316486531
Total Pages : 242 pages
Book Rating : 4.3/5 (164 download)

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Book Synopsis Connecting the Dots by : John Chambers

Download or read book Connecting the Dots written by John Chambers and published by Hachette Books. This book was released on 2018-09-25 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Silicon Valley visionary John Chambers shares the lessons that transformed a dyslexic kid from West Virginia into one of the world's best business leaders and turned a simple router company into a global tech titan. When Chambers joined Cisco in 1991, it was a company with 400 employees, a single product, and about $70 million in revenue. When he stepped down as CEO in 2015, he left a $47 billion tech giant that was the backbone of the internet and a leader in areas from cybersecurity to data center convergence. Along the way, he had acquired 180 companies and turned more than 10,000 employees into millionaires. Widely recognized as an innovator, an industry leader, and one of the world's best CEOs, Chambers has outlasted and outmaneuvered practically every rival that ever tried to take Cisco on--Nortel, Lucent, Alcatel, IBM, Dell, and Hewlett-Packard, to name a few. Now Chambers is sharing his unique strategies for winning in a digital world. From his early lessons and struggles with dyslexia in West Virginia to his bold bets and battles with some of the biggest names in tech, Chambers gives readers a playbook on how to act before the market shifts, tap customers for strategy, partner for growth, build teams, and disrupt themselves. He also adapted those lessons to transform government, helping global leaders like French President Emmanuel Macron and Indian Prime Minister Narendra Modi to create new models for growth. As CEO of JC2 Ventures, he's now investing in a new generation of game-changing startups by helping founders become great leaders and scale their companies. Connecting the Dots is destined to become a business classic, providing hard-won insights and critical tools to thrive during the accelerating disruption of the digital age.

Couchbase Certified Java Developer

Author : Cristian Scutaru
Publisher :
ISBN 13 :
Total Pages : 158 pages
Book Rating : 4.5/5 (882 download)

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Book Synopsis Couchbase Certified Java Developer by : Cristian Scutaru

Download or read book Couchbase Certified Java Developer written by Cristian Scutaru and published by . This book was released on 2020-12-29 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains three original and high-quality practice tests with 40 questions each - with answers and explanations - to help you pass the new Couchbase Associate Java Developer exam.* Most questions are original, with added answers and references.* Other questions are adapted from quizzes, from the 8-hour long Couchbase Associate Java Developer Certification Course, with added answers.* Just like the real exam, each practice test has 40 questions, for 90 minutes, with a 80% passing score.* Domains or categories: General, Java SDK, Queries, and Data Modeling.* All questions closely emulate most from the actual exam, without duplicating them.* Unlike the real exam, you'll know right away what questions you missed, and what the correct answers are.* Detailed explanations with external references for any possible choice, in almost each practice test question.* Most questions are either single-choice or with multiple-selections.Same e-book as LIVE practice tests on Udemy: "Become a Couchbase Certified Java Developer: Practice Exams"