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Architecture & Design

Key Takeaway Points and Lessons Learned from QCon San Francisco 2016

The 10th annual QCon San Francisco was the biggest yet, bringing together over 1500 team leads, architects, project managers, and engineering directors. Over 125 practitioner-speakers presented 92 full-length technical sessions and 32 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 Dec 14, 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
Culture & Methods

Dennis Ehle on Visibility into the DevOps Value Chain

At the recent Agile 2016 conference, InfoQ spoke to Dennis Ehle about the evolution of DevOps and the importance of having visibility into how value is delivered over the DevOps pipeline.

Shane Hastie
on Nov 24, 2016
Culture & Methods

The CA Crew on Coaching Coaches, Mixing Cultures and Future Product Direction

At the recent Agile 2016 conference, InfoQ sat down with Ronica Roth, Steve Demchuk and Eric Willeke of the CA (formerly Rally Software). They discussed coaching the coaches, transforming CA to becoming an agile organisation, mixing cultures, the state of the products and future product direction.

Shane Hastie
on Nov 13, 2016
Architecture & Design

Agile Sailors - A Journey from a Monolithic Approach to Microservices

Over the last couple of years eSailors IT solutions has implemented big technological and organisational changes: from functional silos to cross-functional teams, from a work flow that looked like an assembly line to dynamic loops, from a monolithic platform to microservices, from hierarchical command-and-control to leadership as a team sport. This article provides a summary of their journey.

Hans Gruber Michael Gruczel Sigi Kaltenecker
on Nov 11, 2016
AI, ML & Data Engineering

Case Study: Selecting Big Data and Data Science Technologies at a large Financial Organisation

Adopting Big Data and Data Science technologies into an organisation is a transformative project similar to an agile transformation and with many similar challenges. In this article, the author describes such a project for a FTSE100 financial services company.

Christian Prokopp
on Nov 10, 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
.NET

On Abstractions and For-Each Performance in C#

Donald Knuth famously said, “We should forget about small efficiencies, say about 97% of the time”. But when faced with the other 3%, it is good to know what’s going on behind the scenes. So in this article we’ll be taking a dive into the foreach loop.

Jonathan Allen
on Sep 29, 2016
Development

Q&A: Relevant Search with Elasticsearch and Solr

In their book "Relevant Search", Doug Turnbull and John Berryman focus on the challenge of providing search results by balancing the needs and intents of the user. Using Elasticsearch and Solr, relevance engineers can constantly tune the needs of the business vs. the needs of the user.

David Iffland
on Sep 26, 2016
.NET

Designing with Exceptions in .NET

Exceptions are an integral part of working with .NET, but far too many developers don’t think about them from an API design perspective. Most of their work begins and ends with knowing which exceptions they need to catch and which should be allowed to hit the global logger. You can significantly reduce the time it takes to correct bugs if you design the API to use exceptions correctly.

Jonathan Allen
on Sep 09, 2016