InfoQ Homepage Database Content on InfoQ
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High Load Trading Transaction Processing with Reveno CQRS/Event Sourcing Framework
Reveno is a powerful new, easy to use, highly performant, JVM based lock-free transaction processing framework based on CQRS and event-sourcing patterns. In this article we will develop a simple trading system implementation using the Reveno framework.
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The Role of a Data Scientist in 2016
Data Scientist role has been getting lot of attention lately as organizations are starting to use big data processing and analytics techniques to gain insights into their data. This post takes a closer look at the role of a Data Scientist in 2016.
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Unified Data Modeling for Relational and NoSQL Databases
Current enterprise data architectures include NoSQL databases co-existing with relational databases. However, NoSQL data management currently lacks mature methods and tools to manage NoSQL data. In this article, author discusses a solution for managing both NoSQL and relational databases using Unified Data Modeling techniques.
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Lana Gibson on Using Analytics to Influence Content Design
Lana Gibson gave a talk at the AgileNZ conference on using analytics data to design website content, based on her experiences as Content Performance Lead working on the GOV.UK whole of government website.
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Diagnosing Common Database Performance Hotspots in our Java Code
Java performance issues are often attributable to bad database access patterns. In this article a top performance field engineer demonstrates his patterns for diagnosing database related issues.
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Getting Ready for IoT’s Big Data Challenges with Couchbase Mobile
Our physical world is about to become digitally enabled and according to various predictions for example by Gartner or Cisco, there will be many billions of IoT devices going online and constantly gathering data in the coming years. We got in touch with Wayne Carter and Ali LeClerc of Couchbase to discuss how Couchbase Mobile is also ready for the upcoming era of Internet of Things.
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Big Data Processing with Apache Spark - Part 3: Spark Streaming
In this article, third installment of Apache Spark series, author Srini Penchikala discusses Apache Spark Streaming framework for processing real-time streaming data using a log analytics sample application.
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Using Redis as a Time Series Database: Why and How
In this article, Dr. Josiah Carlson, author of the book “Redis in Action”, explains how to use Redis and sorted sets with hashes for time series analysis.
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Health Informatics and Survival Prediction of Cancer with Apache Spark Machine Learning Library
In this article, author discusses the survival prediction of colorectal cancer as a multi-class classification problem and how to solve that problem using the Apache Spark's MLlib Java API.
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Data Lake-as-a-Service: Big Data Processing and Analytics in the Cloud
Data Lake-as-a-Service solutions provide big data processing in the cloud for faster business outcomes in a very cost effective way. InfoQ spoke with Lovan Chetty and Hannah Smalltree from Cazena team about how Data Lake as a Service works.
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Philip Rathle on Neo4j 2.3 Graph Database Features and openCypher Initiative
Neo Technology, the company behind the graph NoSQL database Neo4j, recently released version 2.3 of the database. They also announced openCypher initiative to help with creating a standard graph query language. InfoQ spoke with Philip Rathle, VP of Products at Neo Technology, about the new features in the latest release of Neo4j and openCypher announcement.
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Key Lessons Learned from Transition to NoSQL at an Online Gambling Website
In this article, author Dan Macklin discusses the transition to Riak NoSQL and Erlang based architecture coupled with Convergent Replicated Data Types (CRDTs) and lessons learned with the transition.