Storm is a distributed, fault-tolerant, real-time computation system that was originally developed at BackType and later open sourced by Twitter. Storm Applied is a new book from Manning that aims to provide a practical guide on using Storm, both in a development and in a production setting. InfoQ has spoken with two of the book’s authors, Sean T. Allen and Matthew Jankowski.
Many of the Big Data technologies in common use originated from Google and have become popular open source platforms, but now Google is bringing an increasing range of big data services to market as part of its Google Cloud Platform. InfoQ caught up with Google's William Vambenepe, who's lead product manager for Big Data services to ask him about the shift towards service based consumption.
F# Deep Dives, edited by Tomas Petricek and Phillip Trelford, is a new book aimed at showing what is the business value that using F# brings in practice. The book presents 11 real industrial scenarios and the way F# allowed field experts to solve them using a functional-first approach. InfoQ has interviewed Tomas Petricek, co-editor of the book.
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. 6
GridGain announced In-Memory Accelerator for Hadoop, offering benefits of in-memory computing to Hadoop applications. InfoQ spoke with Nikita Ivanov from GridGain about the product's architecture.
InfoQ spoke with Rich Reimer, VP of Marketing and Product Management at Splice Machine about the architecture and data patterns for SQL-on-Hadoop technologies.
Bikas Saha and Arun Murthy discuss Tez’s design, highlight some of its features and share some of the initial results obtained by making Hive use Tez instead of MapReduce.
The MLConf conference was going strong in NYC on April 11th and was a full day packed with talks around Machine Learning and Big Data, featuring speakers from many prominent companies.