InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Machine Learning and IoT
Ajit Jaokar discusses data science and IoT: sensor data, real-time processing, cognitive computing, integration of IoT analytics with hardware, IoT’s impact on healthcare, automotive, wearables, etc.
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The Many Faces of Apache Kafka: How is Kafka Used in Practice
Neha Narkhede discusses how companies are using Apache Kafka and where it fits in the Big Data ecosystem.
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Interactive Analytics at Scale with Druid
Julien Lavigne du Cadet discusses how Criteo uses Druid: an open-source, real-time data store designed to power interactive applications at scale, covering Druid's architecture and internals.
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Mini-talks: Machine Intelligence, Algorithms for Anti-Money Laundering, Blockchain
Mini-talks: The Machine Intelligence Landscape: A Venture Capital Perspective. The future of global, trustless transactions on the largest graph: blockchain. Algorithms for Anti-Money Laundering
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Financial Modeling with Apache Spark: Calculating Value at Risk
Sandy Ryza aims to give a feel for what it is like to approach financial modeling with modern big data tools, using the Monte Carlo method for a a basic VaR calculation with Spark.
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LDAP at Lightning Speed
Howard Chu covers highlights of the LMDB design and discusses some of the internal improvements in slapd due to LMDB, as well as the impact of LMDB on other projects.
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Translating Imperative Code to MapReduce
The authors present an approach for automatic translation of sequential, imperative code into a parallel MapReduce framework using Mold, translating Java code to run on Apache Spark.
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The Deep Learning Revolution: Rethinking Machine Learning Pipelines
Soumith Chintala introduces deep learning, what it is, why it has become popular, and how it can be fitted into existing machine learning solutions.
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Understanding Cloud, Big Data, Mobile and Security – Do They Play Nicely Together?
Colin Mower discusses the challenges met using together Cloud, Big Data, Mobile and Security and how these can work together to achieve business value.
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Beating the Traffic Jam Using Embedded Devices, OPC-UA, Akka and NoSQL
Kristoffer Dyrkorn presents the experiences gained by the Norwegian Public Roads Administration in building a new infrastructure for road traffic measurements.
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Analyzing Social Networks with F#
Evelina Gabasova explains how to run a social network analysis on Twitter and how to use data science tools to find out more about followers.
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Customer Insight, from Data to Information
Thore Thomassen shares from experience how to combine structured data in a DWH with unstructured data in NoSQL, and using parallel data warehouse appliances to boost the analytical capabilities.
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