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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
AI, ML & Data Engineering

Martin Van Ryswyk on DataStax Enterprise Graph Database

DataStax recently announced a new product called DataStax Graph to store graph data models. It's based on open source Titan graph database and uses Apache Tinkerpop framework's Gremlin query language. InfoQ spoke with Martin Van Ryswyk about the new product.

Srini Penchikala
on May 17, 2016
AI, ML & Data Engineering

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 concepts and Spark MLlib library for running predictive analytics using a sample application.

Srini Penchikala
on May 15, 2016
Cloud

Lambda Functions versus Infrastructure - Are we Trading Apples for Oranges?

Amazon's AWS Lambda service lets us run code without provisioning servers. Serverless offerings have recently been receiving interest due to their simplicity, capabilities and potential for cost reductions. This article compares the tradeoffs of serverless models with VM/Container based models.

Dean Sheehan
on Apr 21, 2016
Development

Key Takeaway Points and Lessons Learned from QCon London 2016

This article summarizes the key takeaways and highlights from QCon London 2016 as blogged and tweeted by QCon's 1,400 attendees. Over the course of the next 4 months, InfoQ will be publishing most of the conference sessions online, including 21 video interviews that were recorded by the InfoQ editorial team.

Abel Avram
on Apr 05, 2016
Java

High Load Trading Transaction Processing with Reveno CQRS/Event Sourcing Framework

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.

Artem Dmitriev
on Mar 29, 2016
AI, ML & Data Engineering

The Role of a Data Scientist in 2016

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.

Ed Jones
on Mar 27, 2016

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