InfoQ Homepage Interviews Erik Meijer on LINQ
Erik Meijer on LINQ
Bio
Erik Meijer is the creator of LINQ at MS, where he works together with the Microsoft Visual C# and the Microsoft Visual Basic language design teams on data integration in programming languages. Erik has participated in designing several languages: Haskell98, Mondrian, X#, Cω, C#, and Visual Basic.
About the conference
QCon is a conference that is organized by the community, for the community.The result is a high quality conference experience where a tremendous amount of attention and investment has gone into having the best content on the most important topics presented by the leaders in our community.QCon is designed with the technical depth and enterprise focus of interest to technical team leads, architects, and project managers.
Mar 04, 2009
Interview with
by
This content is in the QCon Software Development Conference topic
Related Topics:
-
Development
Development
Followers: 3837
-
Architecture & Design
Architecture & Design
Followers: 9610
-
DevOps
DevOps
Followers: 4773
-
LINQ
LINQ
Followers: 3
-
.NET Framework
.NET Framework
Followers: 12
-
.NET
.NET
Followers: 1557
-
QCon San Francisco 2008
QCon San Francisco 2008
Followers: 0
-
Haskell
Haskell
Followers: 32
-
Data Access
Data Access
Followers: 19
-
Microsoft
Microsoft
Followers: 128
-
Functional Programming
Functional Programming
Followers: 258
-
QCon Software Development Conference
QCon Software Development Conference
Followers: 245
-
Database
Database
Followers: 570
-
Infrastructure
Infrastructure
Followers: 353
Sponsored Content
-
Related Sponsored Content
-
Popular across InfoQ
-
Microsoft Collaborates with Anthropic to Launch C# SDK for MCP Integration
-
FastAPI-MCP: Simplifying the Integration of FastAPI with AI Agents
-
Anthropic's "AI Microscope" Explores the Inner Workings of Large Language Models
-
Using Artificial Intelligence in Software Testing
-
Java News Roundup: WildFly 36, Spring Milestones, Betas for Open Liberty, Hibernate, LangChain4j
-
Wenjie Zi on Technology and Organizational Aspects for ML Project Success
-