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RXJava by Example

In the ongoing evolution of paradigms for simplifying concurrency under load, the most promising addition is reactive programming, a specification that provides tools for handling asynchronous streams of data and for managing flow-control, making it easier to reason about overall program design. In this article we overcome the learning curve with a gentle progression of examples.

Victor Grazi
on Sep 27, 2016
AI, ML & Data Engineering

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.

Srini Penchikala
on Sep 24, 2016
AI, ML & Data Engineering

The InfoQ Podcast: Cathy O'Neil on Pernicious Machine Learning Algorithms and How to Audit Them

In this week's podcast InfoQ’s editor-in-chief Charles Humble talks to Data Scientist Cathy O’Neil. Topics discussed include her book “Weapons of Math Destruction,” predictive policing models, the teacher value added model, approaches to auditing algorithms and whether government regulation of the field is needed.

Charles Humble
on Sep 16, 2016
AI, ML & Data Engineering

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.

Srini Penchikala
on Sep 12, 2016
AI, ML & Data Engineering

Book Review: Cathy O’Neil’s Weapons of Math Destruction

“Big Data has plenty of evangelists, but I’m not one of them,” writes Cathy O’Neil, a blogger (mathsbabe.org) and former quantitative analyst at the hedge fund DE Shaw who became sufficiently disillusioned with her hedge fund modelling that she joined the Occupy movement.

Charles Humble
on Sep 06, 2016
AI, ML & Data Engineering

Chris Fregly on the PANCAKE STACK Workshop and Data Pipelines

InfoQ Interviews Chris Fregly, organizer for the 4000+ member Advanced Spark and TensorFlow Meetup about the PANCAKE STACK workshop, Spark and building data pipelines for a machine learning pipeline

Dylan Raithel
on Aug 29, 2016
AI, ML & Data Engineering

Christine Doig on Data Science as a Team Discipline

Christine Doig spoke at this year's OSCON Conference about data science as a team discipline and how to navigate the data science Python ecosystem. InfoQ spoke with Christine about challenges data science teams need to address to be more effective.

Srini Penchikala
on Aug 26, 2016
AI, ML & Data Engineering

Virtual Panel: Current State of NoSQL Databases

NoSQL databases have been around for several years now and have become a choice of data storage for managing semi-structured and unstructured data. These databases offer lot of advantages in terms of linear scalability and better performance for both data writes and reads. InfoQ spoke with four panelists to get different perspectives on the current state of NoSQL databases.

Srini Penchikala
on Aug 02, 2016
Development

Key Takeaway Points and Lessons Learned from QCon New York 2016

The fifth annual QCon New York was the biggest yet, bringing together over 800 team leads, architects, project managers, and engineering directors. In total, over 140 practitioner-speakers presented 79 full-length technical sessions and 16 in-depth tutorials, providing deep insights into real-world architectures and state of the art software development practices from a practitioner’s perspective.

Abel Avram
on Jul 12, 2016
Java

What the JIT!? Anatomy of the OpenJDK HotSpot VM

If you've ever wondered what happens when your bytecode executes, join former Oracle G1GC performance-lead Monica Beckwith in her guided tour of just-in-time (JIT) compilation and runtime optimizations in OpenJDK HotSpot VM.

Monica Beckwith
on Jun 28, 2016
AI, ML & Data Engineering

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.

Srini Penchikala
on Jun 23, 2016
Java

Configure Once, Run Everywhere: Decoupling Configuration and Runtime

Configuration is one of the most widely used cross-cutting concerns in application development. Apache Tamaya is a new incubator project that brings standardized property management to Java.

Anatole Tresch
on Jun 17, 2016

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