Machine Learning on Big Data for Personalized Internet Advertising
Michael Recce discusses how advertising works and what algorithms Quantcast uses to analyze large amounts of data in order to find out what people are interested in.
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News about Database
CouchDB versus Couchbase: What are the differences, and what happened to Membase?
Recently Couchbase published a comparison of Couchbase and CouchDB to denote the differences and simlarities between the two. This document addresses a common question: "What is the difference between CouchDB and Couchbase?", and what happened to Membase? InfoQ caught up with James Phillips, a Couchbase founder, to discuss the comparison and the merger of the two products Membase and CouchDB.
VMware's vFabric Suite Gains Automated Deployment and PostgreSQL Support
VMware has today announced VMware vFabric Suite 5.1, adding automated deployment, enterprise open source support, and PostgreSQL capabilities, as well as an expansion to the SQLFire in-memory database.
AWS Beanstalk For .NET, RDS For SQL Server
Amazon has announced support for .NET on AWS Elastic Beanstalk and a new RDS service for SQL Server, bringing better manageability to .NET/SQL Server apps hosted on AWS.
Articles about Database
MongoDB, Java and Object Relational Mapping
Brian C. Dilley covers pitfalls, & strengths of using MongoDB ("a very approachable NoSQL solution"), and introduces MJORM. The MJORM project is an annotation free MongoDB Java ORM library. This article builds on Brian's real world in the trenches experience with MongoDB and includes "gotchas" like "Don't treat MongoDB like an RDBMS...", how to "design your indexes carefully", and more.
Jags Ramnarayan on In-Memory Data Grids
In-memory data grids (IMDG) are gaining lot of attention recently because of their support for dynamic scalability and high performance for data intensive applications. InfoQ spoke with Jags Ramnarayan, Chief Architect for GemFire products at VMWare, about the architecture of in-memory data grids, their advantages compared to the traditional databases, and emerging trends in this space.
Evolution in Data Integration From EII to Big Data
With the emergence of inexpensive cloud-based storage and cost-effective ways to process large volumes and complex data there has been a shift in approach toward data integration.
Presentations about Database
Grid Gain vs. Hadoop. Why Elephants Can't Fly
Dmitriy Setrakyan introduces GridGain, comparing it and outlining the cases where it is a better fit than Hadoop, accompanied by a live demo showing how to set up a GridGain job.
Dealing with Performance Challenges - Optimized Data Formats
Sastry Malladi discusses the performance implications of using various data formats and versioning across eBay, showing the results of certain benchmarks concluding that JSON is the best format.
Interviews about Database
Big Data Architecture at LinkedIn
In this interview at QCon London, LinkedIn’s Sid Anand discusses the problems they face when serving high-traffic, high-volume data. Sid explains how they’re moving some use cases from Oracle to gain headroom, and lifts the hood on their open source search and data replication projects, including Kafka, Voldemort, Espresso and Databus.
Rich Hickey on Datomic: Datalog, Databases, Persistent Data Structures
Rich Hickey explains the ideas behind the Datomic database: why Datalog is used as the query language, the functional programming concepts at its core, the role of time in the DB and much more.
Books about Database
Good Relationships
With Spring Data, the ever popular Spring Framework has cultivated a new patch of ground, bringing Big Data and NOSQL technology like Neo4j to enterprise developers. This guide introduces you to Spring Data Neo4j, using the fast, powerful and scalable graph database Neo4j to enjoy the benefits of having good relationships in your data.
Java Transaction Design Strategies
Java Transaction Design Strategies shows how to design an effective transaction management strategy using the transaction models provided by Java-based frameworks such as EJB and Spring. Local, programmatic, declarative, and XA models are explained; the book concludes with a set of design patterns show how to effecitvely use these models.