InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
The World after Cloud Computing & Big Data
Gunter Dueck wonders how are we preparing for the new society marked by cloud computing and big data in which jobs are automated and mediocre abilities are no longer accepted?
/presentations/cloud-computing-big-data/en/mediumimage/Gunbig.jpg)
-
A Research Agenda and Vision for Big Data at NASA
Chris Mattmann covers snow hydrology, regional climate modeling, climate science, and intelligence activities that need advancement to deal with the data deluge across NASA and government agencies.
/presentations/nasa-big-data/en/mediumimage/Chrisbig.jpg)
-
A Call for Sanity in NoSQL
Nathan Marz discusses building NoSQL-based data systems that are scalable and easy to reason about.
/presentations/nosql-cons/en/mediumimage/MarzBIG.jpg)
-
Next Gen Hadoop
Akmal B. Chaudhri introduces Apache™ Hadoop® 2.0 and Yet Another Resource Negotiator (YARN).
/presentations/hadoop-yarn/en/mediumimage/Akmbig.jpg)
-
What Can Hadoop Do for You?
Eva Andreasson presents typical categories of problems that are commonly solved using Hadoop and also some concrete examples in each category.
/presentations/hadoop-usage-examples/en/mediumimage/Evabig.jpg)
-
Design Patterns for Large-Scale Real-Time Learning
Sean Owen provides examples of operational analytics projects, presenting a reference architecture and algorithm design choices for a successful implementation based on his experience Oryx/Cloudera.
/presentations/pattern-real-time-learning/en/mediumimage/Seanbig.jpg)
-
Haskell in the Newsroom
Erik Hinton discusses the successes and failures of making a cultural shift in the newsroom at NYT to accept Haskell and some of the projects Haskell has been used for.
/presentations/haskell-newsroom-nyt/en/mediumimage/Erikbig.jpg)
-
Sync is the Future of Mobile Data
Chris Anderson provides code samples on how to build offline applications for mobile platforms based on the NoSQL document model, and how to contribute to the open source projects behind this movement
/presentations/sync-mobile-data/en/mediumimage/Chrisbig.jpg)
-
Excel Coding Errors Are Destroying World Economies and F# (with Tsunami) Is Here to Stop Them!
Matthew Moloney discusses using F# and .NET inside Excel, demonstrating doing big data, cloud computing, using GPGPU and compiling F# Excel UDFs.
/presentations/excel-f-sharp-tsunami/en/mediumimage/Matbig.jpg)
-
Creative Machines
Joseph Wilk addresses the questions if machines can be creative and what's the place of artists in such a world?
/presentations/ai-machine-creativity/en/mediumimage/Jobig.jpg)
-
Making Java Groovy
Ken Kousen advises Java developers how to do similar tasks in Groovy: building and testing applications, accessing both relational and NoSQL databases, accessing web services, and more.
/presentations/java-groovy-2gx/en/mediumimage/Kenbig.jpg)
-
From The Lab To The Factory: Building A Production Machine Learning Infrastructure
Josh Wills discusses using Hadoop technologies to build real-time data analysis models with a focus on strategies for data integration, large-scale machine learning, and experimentation.
/presentations/machine-learning-infrastructure/en/mediumimage/Joshbig.jpg)