In this fourth installment of Apache Spark article series, author Srini Penchikala discusses machine learning concepts and Spark MLlib library for running predictive analytics using a sample application.
Reveno is a powerful new, easy to use, highly performant, JVM based lock-free transaction processing framework based on CQRS and event-sourcing patterns. In this article we will develop a simple trading system implementation using the Reveno framework.
Data Science has been getting lot of attention as organizations are starting to use data analytics to gain insights into their data. This article takes a closer look at Data Scientist role in 2016.
In Spark in Action book, authors Petar and Marko discuss Apache Spark for data processing batch & streaming data. InfoQ spoke with them about Spark framework, developer tools, and upcoming features.
Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling. 5
Lana Gibson gave a talk at the AgileNZ conference on using analytics data to design web content, based on her experiences as Content Performance Lead working on the GOV.UK whole of government website
Java performance issues are often attributable to bad database access patterns. In this article a top performance field engineer demonstrates his patterns for diagnosing database related issues.
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. 5
In this article, Dr. Josiah Carlson, author of the book “Redis in Action”, explains how to use Redis and sorted sets with hashes for time series analysis. 3
In this article, author discusses the survival prediction of colorectal cancer as a multi-class classification problem and how to solve that problem using the Apache Spark's MLlib Java API.
Data Lake-as-a-Service provides big data processing in the cloud for business outcomes in a cost effective way. InfoQ spoke with Lovan Chetty & Hannah Smalltree from Cazena about these solutions work.