InfoQ Homepage NoSQL Content on InfoQ
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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.
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Cassandra CLI Internals Using JArchitect
Cassandra CLI is a useful tool for Cassandra administrators. It's a good example of how to implement a Cassandra client and CLI internals help us to develop custom Cassandra clients or even extend the CLI tool. In this article, author explores Cassandra CLI architecture model using JArchitect tool and CQLinq language to analyze its code base.
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Don’t jump the SQL ship just yet
The SQL language has been evolving steadily over the last two decades. At the same time, the verbosity caused by the JDBC API in Java client code and the lack of first class SQL support within the Java language have led to the introduction of ORMs such as Hibernate, which was later standardised into JPA and the Criteria API.If SQL and JPA are diverging, where will our data interaction patterns go?
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Building a RESTful Web Service with Spring Boot to Access Data in an Aerospike Cluster
Spring Boot allows you to build Spring based applications with little effort on your part. Aerospike is a distributed and replicated in-memory database that is ACID compliant. This article will take you through creating a simple RESTful web service with Spring Boot and Aerospike.
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Preparing for Your First MongoDB Deployment: Capacity Planning and Monitoring
In this article, author Mat Keep discusses the deployment best practices of MongoDB databases with focus on capacity planning and monitoring aspects. He also explains the topics like hardware selection, key metrics for monitoring and when it’s time to add shards.