Data Scientist role has been getting lot of attention lately as organizations are starting to use big data processing and analytics techniques to gain insights into their data. This post takes a closer look at the role of a Data Scientist in 2016.
In the "Spark in Action" book, authors Petar Zecevic and Marko Bonaci discuss the Apache Spark framework for data processing (batch and streaming data use cases). They introduce the architecture of Spark and core concepts such as Resilient Distributed Datasets (RDDs). InfoQ spoke with them about Apache Spark, developer tools, and the upcoming features and enhancements in the future releases.
Lana Gibson gave a talk at the AgileNZ conference on using analytics data to design website content, based on her experiences as Content Performance Lead working on the GOV.UK whole of government website.
Our physical world is about to become digitally enabled and according to various predictions, there will be many billions of IoT devices going online and collecting data in the coming years. 1
In this article, third installment of Apache Spark series, author discusses Apache Spark Streaming framework for processing real-time streaming data using a log analytics sample application. 2
If you are building or designing your next monitoring system, take a look at this short list of habits exhibited by the most successful monitoring systems in the world today. 1
In this article, author describes the role of data analytics in healthcare space with emerging wearable technologies like biophysical interfaces, physiological sensors and embedded diagnostic tools.
In this article, Carlos Bueno describes a method for analyzing constraints on the shape and flow of data in systems. He also discusses details of two use cases, movie streaming and face recognition.
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.
"Analytics Across the Enterprise" book is a collection of experiences by analytics practitioners in IBM. InfoQ spoke with authors about lessons learned and IBM technologies in the Big Data area.
Cindy Walker spoke at Enterprise Data World Conference about using semantic approaches to augment data management practices. InfoQ spoke with her about these best practices and data analytics.
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. 20