Machine learning research scientist John Langford talks to QCon chair Wesley Reisz about his ML system Vowpal Wabbit used for news personalisation on MSN. They also discuss how to get started in the field and its shift from academic research to industry use.
ticketea is a large online ticket selling platform in Spain. This article describes their growing pains and how DevOps and an API-based distributed architecture allowed them to cope with growth, both from a technical (from monolith to multilith) and people (awareness and knowledge sharing) perspective.
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.
A new Eclipse Oozie plugin allows to significantly simplify implementation of Oozie processes by allowing to define them graphically. An article introduces plugin and provides an example of its usage. 1
Elixir in action aims to introduce readers to Elixir and the Erlang virtual machine while also discussing concurrent programming topics, fault-tolerance, and topics related to high-availability.
An interview with Google's William Vambenepe, who's lead product manager for Big Data services, to ask him about the shift from products to services when working with Big Data.
F# Deep Dives is a new book aimed at showing the business value that using F# brings in practice. It presents 11 industrial scenarios and their solution with F# using a functional-first approach.
The new book, The Practice of Cloud System Administration: Designing and Operating Large Distributed Systems, looks at a wide range of considerations for cloud-scale systems.
In this article Monica Beckwith, starting from core Hadoop components, investigates the design of a highly available, fault tolerant Hadoop cluster, adding security and data-level isolation.
The new “Hadoop in Practice. 2 Edition" book by Alex Holmes covers a lot of topics building Hadoop code and organizing data to support code simplicity and execution speed.
Datameer, a big data analytics application for Hadoop, introduced Datameer 5.0 with Smart Execution to enhance the data analytics. InfoQ spoke with Matt Schumpert from Datameer about the new product.
This article discusses what stream processing is, how it fits into a big data architecture with Hadoop and a data warehouse (DWH), and what technologies and products you can choose from. 8