SQL-on-Hadoop technologies include a SQL layer or a SQL database over Hadoop. These solutions are becoming popular recently as they solve the data management issues of Hadoop and provide a scale-out alternative for traditional RDBMSs. InfoQ spoke with Rich Reimer, VP of Marketing and Product Management at Splice Machine about the architecture and data patterns for SQL in Hadoop databases.
Apache Tez is a new distributed execution framework that is targeted to-wards data-processing applications on Hadoop. But what exactly is it? How does it work? In the presentation, “Apache Tez: Accelerating Hadoop Query Processing”, Bikas Saha and Arun Murthy discuss Tez’s design, highlight some of its features and share initial results obtained by making Hive use Tez instead of MapReduce.
Lambda Architecture proposes a simpler, elegant paradigm designed to process large amounts of data. In this article, author discusses Lambda Architecture with the help of a sample Java application. 5
In this article, authors discuss the role of big data and Hadoop in security analytics space and how to use MapReduce to process data for security analysis.
How to use various tools such as Apache Avro, Apache Crunch, Cloudera ML and the Cloudera Development Kit to build applications that use Hadoop.
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.
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.
Although Hadoop is a set of an open source Apache (and now GitHub) projects, there are currently a large number of alternatives for installing a version of Hadoop and realizing big data processes. 3
Paul Dix leads a practical exploration into Big Data in this video training series. The training focuses on the high level architecture while teaching practical usage skills and Ruby algorithms.
In this virtual panel, InfoQ talks to several Hadoop vendors and users about their views at current and future state of Hadoop.
In his new article Benjamin Fagin discuss how to write XJC plugins and use this technique to generate AVRO schemes and marshaling classes directly from existing XSD files 8