InfoQ Homepage Infrastructure Content on InfoQ
-
Visual Rules of the Road for Big Data Practitioners
David Fisher discusses via example how to build a data navigation language into visualizations, providing an intuitive user experience via the mechanism of subtle visual cuing.
/presentations/visual-rules-data/en/mediumimage/Davidbig.JPG)
-
In-Memory Caching: Curb Tail Latency with Pelikan
Yao Yue introduces Pelikan, a framework to implement distributed caches such as Memcached and Redis.
/presentations/pelikan/en/mediumimage/Yaobig.JPG)
-
How Slack Works
Keith Adams tours Slack's infrastructure from clients into the Slack datacenter, and around the various services that provide real-time messaging, search, voice calls, and custom emoji.
/presentations/slack-infrastructure/en/mediumimage/Kebig.JPG)
-
Validation Methodology of Large Unstructured Unsupervised Learning Systems
Lawrence Chernin describes best practices and validation methods used to deal with large unstructured data, including a suite of unit tests covering the implementations of algorithmic equations.
/presentations/validation-large-unstructured-data/en/mediumimage/Lawbig.JPG)
-
How Predictive Analytics Boosts the Customer Experience at the Georgia Aquarium
Beach Clark talks about the technological and cultural challenges of turning data science into a vital part of the business model at Georgia Aquarium.
/presentations/big-data-georgia-aquarium/en/mediumimage/BeaBIG.JPG)
-
Overview of Artificial Intelligence and Its Use in Analyzing “Voice of Cancer Patients”
Alok Aggarwal overviews Artificial Intelligence and discusses a use case, “Voice of Cancer Patients” that uses ML and NLP algorithms to analyze unstructured text written by cancer patients.
/presentations/ai-ml-nlp-cancer/en/mediumimage/AloBIG.JPG)
-
Leadership Election with Spring Cloud Cluster
Dave Syer shows how Spring Cloud Cluster provides a simple abstraction for leader election and how it is implemented using Zookeeper, Hazelcast and etc.
/presentations/spring-cloud-cluster/en/mediumimage/Davebig.JPG)
-
Solving Business Problems with Data Science
The panelists discuss how Data Science can help solve various problems for business.
/presentations/data-science-business-panel/en/mediumimage/Panelbig.jpg)
-
Get Off the Bus, Gus: 50 Ways to Leave Your Mainframe
Rohit Kelapure provides guidance and best practices in migrating monolithic mainframe apps and data including JCLs wrapped in CICS and IMS using Spring components like Spring Data Flow, Cloud, Batch.
/presentations/migration-spring-data-flow/en/mediumimage/Robig.JPG)
-
Hydrator: Open Source, Code-Free Data Pipelines
Jonathan Gray introduces Hydrator, an open source framework and user interface for creating data lakes for building and managing data pipelines on Spark, MapReduce, Spark Streaming and Tigon.
/presentations/hydrator/en/mediumimage/Jonbig.JPG)
-
Developing a Machine Learning Based Predictive Analytics Engine for Big Data Analytics
Ali Jalali presents how to develop a machine learning predictive analytics engine for big data analytics.
/presentations/ml-predictive-analytics-engine/en/mediumimage/Alibig.JPG)
-
NBCU Develops the Critical Need for Technical Agility in Media and Entertainment
Amar Sharma talks about NBC Universal Microservices infrastructure and how the new way they approach software development has equipped them to make better decisions about product investment.
/presentations/nbc-microservices/en/mediumimage/Amabig.JPG)