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Architecture & Design

Learning Paths: QCon London Expert Recommendations

Advice on the best talks to attend at QCon London 2017 from London Thought Leaders.

Wesley Reisz
on Feb 16, 2017
DevOps

Q&A with Immuta on the Implications of EU’s General Data Protection Regulation (GDPR)

InfoQ talked with Immuta’s Andrew Burt and Steve Touw, to better understand the implications and challenges of the EU's Global Data Protection Regulation, which will come into effect in May 2018.

Manuel Pais
on Feb 10, 2017
AI, ML & Data Engineering

Analysis and Mitigation of NoSQL Injections

NoSQL data storage systems lack the security measures and awareness that are required for data protection. Because code analysis alone is insufficient to prevent attacks in today's typical large-scale deployment, certain mitigations should be done throughout the entire software life cycle.

Anton Puzanov Aviv Ron Alexandra-Shulman-Peleg
on Jan 18, 2017
.NET

Interview with Entity Modelling Tool Creator, Frans Bouma

Our first .NET interview of the year is with Frans Bouma of the entity modeling tool LLBLGen Pro. This tool has been around for almost as long as .NET itself, but being a commercial product it isn’t as well-known as the free alternatives.

Jonathan Allen
on Jan 06, 2017
AI, ML & Data Engineering

Cassandra: The Definitive Guide, 2nd Edition Book Review and Interview

Cassandra: The Definitive Guide, 2nd Edition book authored by Jeff Carpenter and Eben Hewitt covers the Cassandra NoSQL database version 3.0. Authors discuss several different important topics related to this popular database, including data modeling and Cassandra architecture. InfoQ spoke with Jeff Carpenter about the book and Cassandra database current features and future roadmap.

Srini Penchikala
on Jan 05, 2017
DevOps

Automating the Database: A Win-Win for DBAs and DevOps

The key to effective database administration in DevOps initiatives is safe automation and enforced source control for the database, which prevents many errors from reaching the deployment stage.

Yaniv Yehuda
on Dec 19, 2016
AI, ML & Data Engineering

Article Series: Getting a Handle on Data Science as a Software Developer

Software developers and managers are realizing that they need data science among their skills, to be able to tackle pressing problems. In this series, field experts provide guidance to help us navigate among the available data analysis options. They explore ways of understanding where data science is needed and where it’s not, and how to turn it into an asset.

Francine Bennett
on Dec 05, 2016
.NET

Advanced Use Cases for the Repository Pattern in .NET

In our previous article, we looked at the basic patterns needed to implement a repository. In many cases these patterns were such a thin layer around the underlying data access technology they were essentially unnecessary. However, once you have a repository in place, many new opportunities become available.

Jonathan Allen
on Oct 25, 2016
.NET

Implementation Strategies for the Repository Pattern with Entity Framework, Dapper, and Chain

This article will focus on the basic functionality that one would find in a typical repository created with .NET. We’ll look at both general functionality and how that functionality would be implemented using three different styles of ORM: Entity Framework, Dapper, and Tortuga Chain.

Jonathan Allen
on Oct 14, 2016
AI, ML & Data Engineering

Peter Cnudde on How Yahoo Uses Hadoop, Deep Learning and Big Data Platform

Yahoo uses Hadoop for different use cases in big data & machine learning areas. They also use deep learning techniques in their products like Flickr. InfoQ spoke with Peter Cnudde on how Yahoo leverages big data platform technologies.

Srini Penchikala
on Oct 13, 2016
AI, ML & Data Engineering

A Quick Primer on Isolation Levels and Dirty Reads

Recently MongoDB found itself at the top of Reddit again when developer David Glasser learned the hard way that MongoDB performs dirty reads by default. In this article we will explain what isolation levels and dirty reads are and how they are implemented in popular databases.

Jonathan Allen
on Oct 07, 2016
AI, ML & Data Engineering

Traffic Data Monitoring Using IoT, Kafka and Spark Streaming

Internet of Things (IoT) is an emerging disruptive technology and becoming an increasing topic of interest. One of the areas of IoT application is the connected vehicles. In this article we'll use Apache Spark and Kafka technologies to analyse and process IoT connected vehicle's data and send the processed data to real time traffic monitoring dashboard.

Amit Baghel
on Sep 28, 2016