InfoQ Homepage NoSQL Content on InfoQ
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Apache CouchDB: The Definitive Introduction
Apache CouchDB is an open source document NoSQL database that uses JSON for storing documents. In this article, Jan Lehnardt gives an overview of CouchDB, its architecture and what problems it aims to solve and why it is different from all other databases.
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Practical Cassandra: A Developer's Approach - Book Review and Interview
Practical Cassandra: A Developer's Approach book by Russell Bradberry and Eric Lubow, is a developer's guide to build applications using Cassandra NoSQL database. InfoQ spoke with the authors about the book, Cassandra data model, design considerations and how Cassandra performs concurrency and versioning of the data sets.
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Data Modeling with Key Value NoSQL Data Stores – Interview with Casey Rosenthal
In Key Value data stores, data is represented as a collection of key–value pairs. The key–value model is one of the simplest non-trivial data models, and richer data models are implemented on top of it. InfoQ spoke with Casey Rosenthal from Basho team about the data modeling concepts and best practices when using these NoSQL databases for data management.
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Rich Reimer on SQL-on-Hadoop Databases and Splice Machine
SQL-on-Hadoop technologies include a SQL layer or a SQL database over Hadoop. These solutions are becoming popular recently as they solve the data management issues of Hadoop and provide a scale-out alternative for traditional RDBMSs. InfoQ spoke with Rich Reimer, VP of Marketing and Product Management at Splice Machine about the architecture and data patterns for SQL in Hadoop databases.
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Transactional NoSQL Database
Document-oriented NoSQL databases are eliminating the impedance mismatch between developers and traditional data models. However developers have come to believe they need to sacrifice ACID transactions. In this article we will look at how MarkLogic dispels this myth
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Apache Kafka: Next Generation Distributed Messaging System
Apache Kafka is a distributed publish-subscribe messaging system. This article covers the architecture model, features and characteristics of Kafka framework and how it compares with traditional messaging systems.
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Data Modeling in Graph Databases: Interview with Jim Webber and Ian Robinson
Data modeling with Graph databases requires a different paradigm than modeling in Relational or other NoSQL databases like Document databases, Key Value data stores, or Column Family databases. InfoQ spoke with Jim Webber and Ian Robinson about data modeling efforts when using Graph databases.
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NoSQL, JSON, and Time Series Data Management: Interview with Anuj Sahni
Time series data management is gaining more attention lately because the data is coming at us from all directions: sensors, mobile devices, Web tracking, financial events, factory automation, and utilities. InfoQ spoke with Anuj Sahni, Principal Product Manager at Oracle about the time series data and how to do data modeling for this type of data.
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SQL Server 2014: NoSQL Speeds with Relational Capabilities
For the last four years Microsoft has been working on the first rewrite of SQL Server’s query execution since 1998. The goal is to offer NoSQL-like speeds without sacrificing the capabilities of a relational database. At the heart of this is Hekaton, their memory optimized tables. While still accessible via traditional T-SQL operations, internally they are a fundamentally different technology.
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Lambda Architecture: Design Simpler, Resilient, Maintainable and Scalable Big Data Solutions
Lambda Architecture proposes a simpler, elegant paradigm designed to store and process large amounts of data. In this article, author Daniel Jebaraj presents the motivation behind the Lambda Architecture, reviews its structure with the help of a sample Java application.
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Preparing for Your First MongoDB Deployment: Backup and Security
This article we focuses on the database backup tools and security policies when deploying MongoDB NoSQL databases. Topics like cloud backups with MongoDB Management Service (MMS), authentication, and authorization are covered.
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Building a Real-time, Personalized Recommendation System with Kiji
Jon Natkins explains in this article how to create a personalized recommendation system fed with large amounts of real-time data using Kiji, which leverages HBase, Avro, Map-Reduce and Scalding.