In this article, authors discuss the role of big data and Hadoop in security analytics space and how to use MapReduce to efficiently process data for security analysis for use cases like Security Information and Event Management (SIEM) and Fraud Detection.
There has been a raging debate about PaaS and whether it is still a valuable part of a cloud portfolio, so InfoQ reached out to four leaders in the cloud domain (cloud advocate Krish Subramanian, cloud developer Dan Turkenkopf, cloud executive JP Morgenthal, and cloud expert James Urquhart) for their opinions on the future of PaaS.
How to use various tools such as Apache Avro, Apache Crunch, Cloudera ML and the Cloudera Development Kit to build applications that use Hadoop.
Raffi Krikorian, Vice President of Platform Engineering at Twitter, gives an insight on how Twitter prepares for unexpected traffic peaks and how system architecture is designed to support failure. 1
Monty Taylor and James Blair talk about the build and test challenges they face at OpenStack, and how they managed to tackle them.
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.
Software can take inordinate amounts of time to develop and test. With the cloud, achieving hyper-agile software development is feasible with these key principles for building a next-gen dev/test lab.
In this article we hear a very personal story on introducing a DevOps mindset at a large bank. In particular how the automation of configuration and release management processes enabled collaboration.
Chris Smith offers insights on how to leverage the increasing employee adoption of cloud services (Bring Your Own Cloud) to perform their work. Understanding the risks and benefits becomes essential.
How do you bringing agility into big data? Learn what makes analytics uniquely different than application development, and how to adapt agile principles and practices to the nuances of analytics.
Elasticsearch is an open source, distributed real-time search and analytics engine for the cloud. InfoQ spoke with Costin Leau about Elasticsearch and how it integrates with Hadoop and Big Data.