Developing with Couchbase Server: Building Scalable, Flexible Database-Based Applications Pdf, Epub, Ebook

Total Page:16

File Type:pdf, Size:1020Kb

Developing with Couchbase Server: Building Scalable, Flexible Database-Based Applications Pdf, Epub, Ebook DEVELOPING WITH COUCHBASE SERVER: BUILDING SCALABLE, FLEXIBLE DATABASE-BASED APPLICATIONS PDF, EPUB, EBOOK M. C. Brown | 88 pages | 06 Mar 2013 | O'Reilly Media, Inc, USA | 9781449331160 | English | Sebastopol, United States Developing with Couchbase Server: Building Scalable, Flexible Database-Based Applications PDF Book Explore Now. Or even, at a practical level, to be aware of. Technical components Queries N1QL gives application developers an expressive, powerful, and complete declarative language for querying, transforming, and manipulating JSON data. Couchbase Server is organized into buckets, vBuckets, nodes, and clusters. High performance with linear scalability Cisco UCS Integrated Infrastructure for Big Data is a simplified, intelligent infrastructure with high performance and scalability to meet growing business demands. Couchbase Server 7. The Couchbase SDKs provide native support for synchronous, asynchronous, and event-driven programming models in the languages that support them. Run Couchbase fully managed with Couchbase Cloud. Take a deep dive into our cloud database architecture Read The Whitepaper. Yes, but with my eyes open. Monitoring Couchbase: Getting It Right. In the event of failure of a single node, this ensures that data is still available on other nodes that can provide full read and write ability to the applications. Reduce operational overhead with cloud integrations like Kubernetes, and support multicloud deployments globally with built-in support for active-active cross datacenter replication XDCR. Memory-optimized global secondary indexes. Multi-Dimensional Scaling. MDS is particularly well-suited for the cloud where compute, storage, and memory resources are typically allocated and expensed separately. Elastic Scalability As part of the core database engine, Couchbase provides an elastic Multi-Dimensional Scaling MDS architecture that supports both scale-up and scale-out approaches. Because the view works by examining the schema-less document data, and converts that into a structured format, you can process and work with the information in a number of different ways. Delivered as a fee add-on for the Windows Server, IIS 6 is a major upgrade from version 5 with increased security, better. The filing cabinet is constructed of different drawers our nodes , and there are a fixed number of folders within the drawers with each folder analogous to the vBucket. This still leaves the question of protecting the updates of information. Skip to main content Martin C. You can create documents that are normalized or denormalized. Sign In Register. Without wanting to get ito too much detail, the method of distribution is by dividing up the bucket content into multiple vBuckets. A cloud-first strategy is key to constant innovation and the ability to respond to fast-changing business needs. Developing with Couchbase Server: Building Scalable, Flexible Database-Based Applications Writer Faster time to market Couchbase enables you to develop and deploy your application to the cloud of your choice using a flexible JSON schema. Couchbase gives you simple connectors and tools and uniform application development APIs across multiple programming languages, making it easier to build applications and reducing your time to market. Data is also written to the disk, so in the case of a power outage or software crash, data can be retrieved from the disk during recovery. Take a deep dive into our cloud database architecture Read The Whitepaper. The best NoSQL databases. In another example, e. Couchbase enables you to develop and deploy your application to the cloud of your choice using a flexible JSON schema. This is the price excluding postage and handling fees a seller has provided at which the same item, or one that is nearly identical to it, is being offered for sale or has been offered for sale in the recent past. Cisco UCS Integrated Infrastructure for Big Data is a simplified, intelligent infrastructure with high performance and scalability to meet growing business demands. Couchbase Server is organized into buckets, vBuckets, nodes, and clusters. You can bring up new cloud instances or remove existing ones, all with zero downtime to your database or applications. Couchbase is a geo-distributed cloud-native database that you can easily deploy and manage across any public cloud: AWS, Azure, and Google Cloud Platform. Get in Touch. The experiences that companies deliver through these applications largely determine customer satisfaction and retention. Couchbase Lite is an embedded mobile database that works offline and synchronizes with Couchbase Sync Gateway when online. And the principles here are scalable; they would work in a small business or a startup. The business world is undergoing a massive change as enterprises are shifting toward a digital economy. The easiest platform to manage Deploy Couchbase Server in any cloud, at any scale. The first half contains a short history of typography: i. Learn More. Leave a comment Hide comments. In the US 9. Includes: Key-value data access. Show more Show less. Couchbase provides high availability using intra-cluster replication and index replication, and disaster recovery using cross datacenter replication XDCR. This allows mobile application developers to incorporate device-local FTS queries and intelligence into their mobile applications. Although security is fairly standard in the relational database world, in the NoSQL world it varies significantly from product to product. One option would be to choose an introductory text. Catalog and Inventory Publish new product and inventory content in real time and scale to millions of products and requests per second to present the right data at the right time. In time you would probably end up here though so a thorough reading of this and some time spent working with and modifying the examples should prove a good investment. Different types of end-user applications have their own data needs as well, including internal corporate systems, support for edge computing and mobile apps, online shopping portals, and more. Any database has to be fast and efficient. You can rerun these benchmarks yourself, as Altoros has supplied all of the required scripts. Includes: Big data integrations SQL integrations. On Apr 28, Martin Rowe wrote: This is a short introduction that is understandable, gets you started, and serves as a precursor to delving into the Couchbase documentation. Paperback Personal Development Books. You must be logged in to post a comment. MongoDB was designed to do master-slave replication, which scales a little, but needs sharding to scale out well. The Couchbase Data Platform provides built-in and configurable full-stack security for authentication, authorization, encryption over the wire, and auditing. Developing with Couchbase Server: Building Scalable, Flexible Database-Based Applications Reviews The Couchbase SDKs provide native support for synchronous, asynchronous, and event-driven programming models in the languages that support them. InfoWorld Couchbase Server is a memory-first, distributed, flexible JSON document database that is strongly consistent within a local cluster. On the wall by the filing cabinets is a directory that tells you which drawer contains which folder. Delivered as a fee add-on for the Windows Server, IIS 6 is a major upgrade from version 5 with increased security, better. Buckets and vBuckets. English Choose a language for shopping. Two important structures internally within Couchbase Server are Buckets and vBuckets. The clarity of the various explanations. Santosh Shanbhag , 64 Reviews. Security in Couchbase Mobile deployments. They have to balance high customer expectations, fierce competition, and pressure on bottom-line margins. Data Storage and Retrieval. Audible Download Audio Books. About this product Product Information Today's highly interactive websites pose a challenge for traditional SQL databases - the ability to scale rapidly and serve loads of concurrent users. But there are also some additional operations that provide some more advanced operations, or that provide additional information, such as the observe command. What does this price mean? A mobile version, Couchbase Lite, can run offline and synch to the server when connected. Each bucket has a RAM quota, replication configuration and disk storage. They are the primary means through which companies interact with customers today and run more and more of their business. Martin's rating: 5. Optionally password controlled All buckets can have an optional password. In Couchbase Server 2. High availability and replication architecture. Both N1QL and full-text queries go faster if the bucket has indexes to support the query. Because Couchbase Server is also memcached compliant, you can also use it as a direct memcached replacement within your existing database and application environment, and still take advantage of the scalability it provides. Applications can query Couchbase Server in one of the following ways:. Web Development Books. Paperback Personal Development Books. XDCR allows Couchbase to be a globally distributed database, at the cost of allowing eventual rather than strong consistency between clusters. A side benefit is that it also serves as an introduction to the world of NoSQL data storage. At a Glance. Key Value Customer experience depends on app performance and behavior, which in turn depends largely on database performance and throughput. The enterprise data platform must be more agile and scalable, and its
Recommended publications
  • LIST of NOSQL DATABASES [Currently 150]
    Your Ultimate Guide to the Non - Relational Universe! [the best selected nosql link Archive in the web] ...never miss a conceptual article again... News Feed covering all changes here! NoSQL DEFINITION: Next Generation Databases mostly addressing some of the points: being non-relational, distributed, open-source and horizontally scalable. The original intention has been modern web-scale databases. The movement began early 2009 and is growing rapidly. Often more characteristics apply such as: schema-free, easy replication support, simple API, eventually consistent / BASE (not ACID), a huge amount of data and more. So the misleading term "nosql" (the community now translates it mostly with "not only sql") should be seen as an alias to something like the definition above. [based on 7 sources, 14 constructive feedback emails (thanks!) and 1 disliking comment . Agree / Disagree? Tell me so! By the way: this is a strong definition and it is out there here since 2009!] LIST OF NOSQL DATABASES [currently 150] Core NoSQL Systems: [Mostly originated out of a Web 2.0 need] Wide Column Store / Column Families Hadoop / HBase API: Java / any writer, Protocol: any write call, Query Method: MapReduce Java / any exec, Replication: HDFS Replication, Written in: Java, Concurrency: ?, Misc: Links: 3 Books [1, 2, 3] Cassandra massively scalable, partitioned row store, masterless architecture, linear scale performance, no single points of failure, read/write support across multiple data centers & cloud availability zones. API / Query Method: CQL and Thrift, replication: peer-to-peer, written in: Java, Concurrency: tunable consistency, Misc: built-in data compression, MapReduce support, primary/secondary indexes, security features.
    [Show full text]
  • High Performance with Distributed Caching
    High Performance with Distributed Caching Key Requirements For Choosing The Right Solution High Performance with Distributed Caching: Key Requirements for Choosing the Right Solution Table of Contents Executive summary 3 Companies are choosing Couchbase for their caching layer, and much more 3 Memory-first 4 Persistence 4 Elastic scalability 4 Replication 5 More than caching 5 About this guide 5 Memcached and Oracle Coherence – two popular caching solutions 6 Oracle Coherence 6 Memcached 6 Why cache? Better performance, lower costs 6 Common caching use cases 7 Key requirements for an effective distributed caching solution 8 Problems with Oracle Coherence: cost, complexity, capabilities 8 Memcached: A simple, powerful open source cache 10 Lack of enterprise support, built-in management, and advanced features 10 Couchbase Server as a high-performance distributed cache 10 General-purpose NoSQL database with Memcached roots 10 Meets key requirements for distributed caching 11 Develop with agility 11 Perform at any scale 11 Manage with ease 12 Benchmarks: Couchbase performance under caching workloads 12 Simple migration from Oracle Coherence or Memcached to Couchbase 13 Drop-in replacement for Memcached: No code changes required 14 Migrating from Oracle Coherence to Couchbase Server 14 Beyond caching: Simplify IT infrastructure, reduce costs with Couchbase 14 About Couchbase 14 Caching has become Executive Summary a de facto technology to boost application For many web, mobile, and Internet of Things (IoT) applications that run in clustered performance as well or cloud environments, distributed caching is a key requirement, for reasons of both as reduce costs. performance and cost. By caching frequently accessed data in memory – rather than making round trips to the backend database – applications can deliver highly responsive experiences that today’s users expect.
    [Show full text]
  • Database Software Market: Billy Fitzsimmons +1 312 364 5112
    Equity Research Technology, Media, & Communications | Enterprise and Cloud Infrastructure March 22, 2019 Industry Report Jason Ader +1 617 235 7519 [email protected] Database Software Market: Billy Fitzsimmons +1 312 364 5112 The Long-Awaited Shake-up [email protected] Naji +1 212 245 6508 [email protected] Please refer to important disclosures on pages 70 and 71. Analyst certification is on page 70. William Blair or an affiliate does and seeks to do business with companies covered in its research reports. As a result, investors should be aware that the firm may have a conflict of interest that could affect the objectivity of this report. This report is not intended to provide personal investment advice. The opinions and recommendations here- in do not take into account individual client circumstances, objectives, or needs and are not intended as recommen- dations of particular securities, financial instruments, or strategies to particular clients. The recipient of this report must make its own independent decisions regarding any securities or financial instruments mentioned herein. William Blair Contents Key Findings ......................................................................................................................3 Introduction .......................................................................................................................5 Database Market History ...................................................................................................7 Market Definitions
    [Show full text]
  • Couchbase Vs Mongodb Architectural Differences and Their Impact
    MongoDB vs. Couchbase Server: Architectural Differences and Their Impact This 45-page paper compares two popular NoSQL offerings, diving into their architecture, clustering, replication, and caching. By Vladimir Starostenkov, R&D Engineer at Altoros Q3 2015 Table of Contents 1. OVERVIEW ......................................................................................................................... 3 2. INTRODUCTION ................................................................................................................. 3 3. ARCHITECTURE................................................................................................................. 4 4. CLUSTERING ..................................................................................................................... 4 4.1 MongoDB ............................................................................................................................................. 4 4.2 Couchbase Server .............................................................................................................................. 5 4.3 Partitioning .......................................................................................................................................... 6 4.4 MongoDB ............................................................................................................................................. 7 4.5 Couchbase Server .............................................................................................................................
    [Show full text]
  • Couchbase Server Manual 2.1.0 Couchbase Server Manual 2.1.0
    Couchbase Server Manual 2.1.0 Couchbase Server Manual 2.1.0 Abstract This manual documents the Couchbase Server 2.1.0 series, including installation, monitoring, and administration interface and associ- ated tools. For the corresponding Moxi product, please use the Moxi 1.8 series. See Moxi 1.8 Manual. External Community Resources. Download Couchbase Server 2.1 Couchbase Developer Guide 2.1 Client Libraries Couchbase Server Forum Last document update: 05 Sep 2013 23:46; Document built: 05 Sep 2013 23:46. Documentation Availability and Formats. This documentation is available online: HTML Online . For other documentation from Couchbase, see Couchbase Documentation Library Contact: [email protected] or couchbase.com Copyright © 2010-2013 Couchbase, Inc. Contact [email protected]. For documentation license information, see Section F.1, “Documentation License”. For all license information, see Appendix F, Licenses. Table of Contents Preface ................................................................................................................................................... xiii 1. Best Practice Guides ..................................................................................................................... xiii 1. Introduction to Couchbase Server .............................................................................................................. 1 1.1. Couchbase Server and NoSQL ........................................................................................................ 1 1.2. Architecture
    [Show full text]
  • Document Store Database Example
    Document Store Database Example Roderich is Barmecide: she predefine originally and juicing her currants. Prototypal Eli still utilises: purgatorial and associate Ron dimes quite eerily but drift her equalisers abidingly. Very and tantalizing Rikki luminesces, but Davis leftwardly rightens her docks. Returns an idea of database document model needs with each also accepts parameters such as strings Break when out nor the JSON and have it light an explicit issue in a hybrid store. Running a document database on Sql Server. Documents are stored in Collections and glide their dedicated CRUD operation set. How they use SQL Server as a Document Store Octopus Deploy. Examples of RDBMS and NoSQL databases Rackspace. MySQL JSON Document Store dasininet Diary create a MySQL. Tinydb PyPI. A database document store represents a collection of documents imported into. As we knew also see play are four tables in the worldx database but db. 3Pillar blog post by Girish Kumar and Rahul Checker exploring the different types of NoSQL databases that you cancel consider for each enterprise needs. How will data here a document database also possess as an own database stored? Document databases make it easier for developers to display and hence data in most database. Why You mother Never Use MongoDB Sarah Mei. For utility if you now looking at video surveillance data sensor. NoSQL Tutorial Types of NoSQL Databases What is & Example. To connect an obedience of the DocumentStore you need to abduct a best of URL addresses that compassion to RavenDB server nodes new DocumentStoreurls database. Xml document store lists of document stores do the database store and console gamer, specially if available.
    [Show full text]
  • APPLICATION of BLOCKCHAIN NETWORK for the USE of INFORMATION SHARING by Linir Zamir
    APPLICATION OF BLOCKCHAIN NETWORK FOR THE USE OF INFORMATION SHARING by Linir Zamir A Thesis Submitted to the Faculty of The College of Engineering and Computer Science in Partial Fulfillment of the Requirements for the Degree of Master of Science Florida Atlantic University Boca Raton, FL August 2019 Copyright 2019 by Linir Zamir ii ACKNOWLEDGEMENTS I would like to thank my committee members: Dr. Feng-Hao Liu, my commit- tee chair; Dr. Mehrdad Nojoumian and Dr. Elias Bou-Harb for their encouragement, insightful comments and hard questions. I would also like to thank my mother, who supported me with love and understanding. Without you, I could never have made it this far in my academical studies and generally in life. iv ABSTRACT Author: Linir Zamir Title: Application of Blockchain networkfor the use of Information Sharing Institution: Florida Atlantic University Thesis Advisor: Dr. Feng-Hao Liu Degree: Master of Science Year: 2019 The Blockchain concept was originally developed to provide security in the Bitcoin cryptocurrency network, where trust is achieved through the provision of an agreed-upon and immutable record of transactions between parties. The use of a Blockchain as a secure, publicly distributed ledger is applicable to fields beyond finance, and is an emerging area of research across many other fields in the industry. This thesis considers the feasibility of using a Blockchain to facilitate secured infor- mation sharing between parties, where a lack of trust and absence of central control are common characteristics. Implementation of a Blockchain Information Sharing system will be designed on an existing Blockchain network with as a communicative party members sharing secured information.
    [Show full text]
  • Couchbase Analytics: Noetl for Scalable Nosql Data Analysis
    Couchbase Analytics: NoETL for Scalable NoSQL Data Analysis Murtadha Al Hubail1 Ali Alsuliman1 Michael Blow1 Michael Carey12 Dmitry Lychagin1 Ian Maxon12 Till Westmann1 1Couchbase, Inc. 2University of California, Irvine [email protected] ABSTRACT Couchbase Server is a highly scalable document-oriented database management system. With a shared-nothing architecture, it exposes a fast key-value store with a managed cache for sub-millisecond Full-Text data operations, indexing for fast queries, and a powerful query Eventing Query Data Analytics Indexing engine for executing declarative SQL-like queries. Its Query Ser- Search vice debuted several years ago and supports high volumes of low- latency queries and updates for JSON documents. Its recently intro- Figure 1: Couchbase Server Overview duced Analytics Service complements the Query Service. Couch- base Analytics, the focus of this paper, supports complex analytical queries (e.g., ad hoc joins and aggregations) over large collections however, since the early days of mainframes and their attached ter- of JSON documents. This paper describes the Analytics Service minals. from the outside in, including its user model, its SQL++ based Today’s mission-critical applications demand support for mil- query language, and its MPP-based storage and query processing lions of interactions with end-users via the Web and mobile devices. architecture. It also briefly touches on the relationship of Couch- In contrast, traditional database systems were built for thousands of base Analytics to Apache AsterixDB, the open source Big Data users. Designed for strict consistency and data control, they tend to management system at the core of Couchbase Analytics. lack agility, flexibility, and scalability.
    [Show full text]
  • How Travel and Hospitality Companies Are Transforming Their
    How Travel and Hospitality Companies are Transforming their Customer Experience in the Age of Kayak, Airbnb and Uber EXECUTIVE SUMMARY Flight availability, booking, In the competitive hospitality industry customers are demanding a better, more and pricing analytics personalized experience. Despite increased consumer spending, operational expenses are putting brands under pressure leading them to search for new efficiency. Mergers, new partnerships, personalization, and digitization are causing the volumes of data to grow. Older technologies aren’t keeping up with the change despite rising maintenance costs. Inventory and pricing Travel companies must contend with a complex set of ever-changing products and recommendations services. Hospitality companies require the ability to provide premium services at a lower cost. Meanwhile, airlines are forced to compete with low-cost alternatives. Everyone in this sector must personalize the travel experience and cultivate customer loyalty, and make each experience one that delights customers and brings them back. Information is at the heart of all of these issues. Personalization and digital Real-time crew transformation require data. The only way to meet all of the data needs is to implement management, scheduling, a database that supports these efforts efficiently even when things change. and resources 2 INTRODUCTION Over the last 30 years, According to the Deloitte 2019 Travel and Hospitality Outlook, the past 10 years have seen Ryanair has experienced a huge increase in travel. From 2009 to 2018, US hotel bookings increased by $69 billion. exponential growth. Since Airline revenue surged by $67 billion. More consumers started traveling again, benefitting we launched our new the cruise, ground transportation, and restaurant industries as well.
    [Show full text]
  • Web Scalability with Nosql
    Web Scalability with NoSQL How to Support Millions of Users with Couchbase Modern Web Scalability – How Big is Big? Web applications are driving the need for more easily scalable database technology. Not long ago, 1,000 daily users of an application was a lot and 10,000 was an extreme case. Modern web applications often need to deliver a great interactive experience to millions of users per day, and support wildly-fluctuating numbers of concurrent users. A great user experience means a responsive application, which means fast, predictable access to data. Supporting large user base is important, but it’s just as important to handle rapidly growing (or shrinking) numbers of concurrent users: • A newly launched app can go viral, growing from zero to a million users overnight – literally. • Seasonal swings like those around Black Friday, the holiday season or Valentine’s Day can create massive spikes for short periods. With relational technologies, many application developers find it difficult, or even impossible, to get the dynamic scalability and level of scale they need while also maintaining the performance users demand. Many are turning to NoSQL for help. Massive Scale – Couchbase Style What does large-scale mean to Couchbase? The world’s largest enterprises rely on Couchbase for their mission- critical web and mobile applications. Couchbase Server has proven scale to a billion user profiles in a single application (adding 500k per day!), and we have customers supporting more than 6M concurrent users with systems capable of more than a million operations per second. When a Zynga game called Draw Something exploded from 0-50M users in 50 days, they were able to scale seamlessly as demand increased.
    [Show full text]
  • 2.15 Couchbase Sync Gateway
    VISVESVARAYA TECHNOLOGICAL UNIVERSITY “Jnana Sangama”, Belgaum – 590 014 A PROJECT REPORT ON “SOYA ASSIST” Submitted in partial fulfillment for the award of the degree of BACHELOR OF ENGINEERING IN COMPUTER SCIENCE AND ENGINEERING BY PRUTHVI DIWAKAR HEGDE (1NH11CS079) RASEENA A (1NH11CS090) SAMYUKTHA SUBRAMANIAN (1NH11CS100) SHRUTHI S (1NH11CS109) Under the guidance of Mr. Puneet S Palagi (Assistant Professor, Dept. of CSE, NHCE) DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING NEW HORIZON COLLEGE OF ENGINEERING (ISO-9001:2000 certified, Accredited by NBA, Permanently affiliated to VTU) Outer Ring Road,Panathur Post, Near Marathalli, Bangalore – 560103 NEW HORIZON COLLEGE OF ENGINEERING (ISO-9001:2000 certified, Accredited by NBA, Permanently affiliated to VTU) Outer Ring Road, Panathur Post, Near Marathalli, Bangalore-560 103 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING CERTIFICATE Certified that the project work entitled “SOYA ASSIST” carried out by PRUTHVI DIWAKAR HEGDE (1NH11CS079), RASEENA A (1NH11CS090), SAMYUKTHA SUBRAMANIAN (1NH11CS100), SHRUTHI S (1NH11CS109) and a bonafide student of NEW HORIZON COLLEGE OF ENGINEERING in partial fulfillment for the award of Bachelor Of Engineering/Bachelor Of Technology in Computer Science and Engineering of the Visvesvaraya Technological University, Belgaum during the year 2014 - 2015. It is certified that all corrections/suggestions indicated for Internal Assessment have been incorporated in the report deposited in the department library. The project report has been approved as it satisfies the academic requirements in respect of Project work prescribed for the said Degree. Name & Signature of Guide Name Signature of HOD Signature of Principal (Mr. Puneet .S .Palagi ) (Dr. Prashanth C.S.R.) (Dr. Manjunatha) External Viva Name of Examiner Signature with date 1.
    [Show full text]
  • Nosql - Notonly Sql
    International Journal of Enterprise Computing and Business Systems ISSN (Online) : 2230-8849 Volume 2 Issue 2 July 2013 International Manuscript ID : ISSN22308849-V2I2M3-072013 NOSQL - NOTONLY SQL Dr. S. George University of New Zealand Abstract A NoSQL database provides a mechanism for storage and retrieval of data that uses looser consistency models than traditional relational databases. Motivations for this approach include simplicity of design, horizontal scaling and finer control over availability. NoSQL databases are often highly optimized key–value stores intended for simple retrieval and appending operations, with the goal being significant performance benefits in terms of latency and throughput. NoSQL databases are finding significant and growing industry use in big data and real-time web applications. NoSQL systems are also referred to as "Not only SQL" to emphasize that they do in fact allow SQL-like query languages to be used. ACID vs BASE NoSQL cannot necessarily give full ACID guarantees. Usually eventual consistency is guaranteed or transactions limited to single data items. This means that given a sufficiently long period of time over which no changes are sent, all updates can be expected to propagate eventually through the system. [citation needed ]. Contents History Carlo Strozzi used the term NoSQL in 1998 to name his lightweight, open-source relational database that did not expose the standard SQL interface. Strozzi suggests that, as the International Journal of Enterprise Computing and Business Systems ISSN (Online) : 2230-8849 Volume 2 Issue 2 July 2013 International Manuscript ID : ISSN22308849-V2I2M3-072013 current NoSQL movement "departs from the relational model altogether; it should therefore have been called more appropriately 'NoREL'.
    [Show full text]