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.
Data analytics play a central role in the healthcare system by improving outcomes and quality of life while helping to control costs. In this article, author describes the role analytics can play with the emerging wearable technologies with biophysical interfaces, physiological sensors, and embedded diagnostic tools.
In this article, based on a research study, author presents big data as a service-oriented and evolutionary case of disruptive IT-enabled services (IESs) rather than as datasets. Big data services emerge from combining diverse resources from an ecosystem of technologies, market needs, social actors, and other institutional contexts.
In this article, author discusses evolving technologies like Machine Learning and IoT, how organizations can benefit from these new sources of information and intelligence.
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.
Spark SQL, part of Apache Spark, is used for structured data processing by running SQL queries on Spark data. Srini Penchikala discusses Spark SQL module & how it simplifies data analytics using SQL. 1
In this article, Basho Sr. Software Engineer Chris Meiklejohn explores the basic building blocks for crafting deterministic applications that guarantee convergence of data without synchronization. 1
Apache Spark is an open source big data framework built around speed, ease of use, and sophisticated analytics. In this article, Srini Penchikala discusses how Spark helps with big data processing. 3
GridGain announced that the In-Memory Data Fabric has been accepted into Apache Incubator program as Apache Ignite. InfoQ spoke with Nikita Ivanov about their product becoming part of Apache.
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.
The article describes the general outline of the Stats Anomalies Detector developed at MyHeritage and provides a detailed explanation of how to enhance the code to meet your company’s needs.