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Big Data Processing with Apache Spark - Part 5: Spark ML Data Pipelines
With support for Machine Learning data pipelines, Apache Spark framework is a great choice for building a unified use case that combines ETL, batch analytics, streaming data analysis, and machine learning. In this fifth installment of Apache Spark article series, author Srini Penchikala discusses Spark ML package and how to use it to create and manage machine learning data pipelines.
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Spark GraphX in Action Book Review and Interview
“Spark GraphX in Action” book from Manning Publications, authored by Michael Malak and Robin East, provides a tutorial based coverage of Spark GraphX, the graph data processing library from Apache Spark framework. InfoQ spoke with authors about the book and Spark GraphX library as well as overall Spark framework and what's coming up in the area of graph data processing and analytics.
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Big Data Analytics with Spark Book Review and Interview
Big Data Analytics with Spark book, authored by Mohammed Guller, provides a practical guide for learning Apache Spark framework for different types of big-data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. InfoQ spoke with author about the book & development tools for big data applications.
Big Data Processing with Apache Spark - Part 4: Spark Machine Learning
In this fourth installment of Apache Spark article series, author Srini Penchikala discusses machine learning concept & Spark MLlib library for running predictive analytics using a sample application.
The Role of a Data Scientist in 2016
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.
Spark in Action Book Review & Interview
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.
Lana Gibson on Using Analytics to Influence Content Design
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
Getting Ready for IoT’s Big Data Challenges with Couchbase Mobile
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
Big Data Processing with Apache Spark - Part 3: Spark Streaming
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
7 Habits of Highly Effective Monitoring Infrastructures
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
The Promise of Healthcare Analytics
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.
Shaping Big Data Through Constraints Analysis
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.
