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Developing a Machine Learning Based Predictive Analytics Engine for Big Data Analytics

Posted by Ali Jalali  on  Oct 16, 2016

Ali Jalali presents how to develop a machine learning predictive analytics engine for big data analytics.


Structuring Data for Self-Serve Customer Insights

Posted by Jim Porzak  on  Aug 12, 2016

Jim Porzak discusses creating an analyst ready data mart that is complete at different levels of abstraction and models customer decision points in order to be able to understand customers.


Creating Customer-Centric Products Using Big Data

Posted by Kriti Sharma  on  Jul 15, 2016

Kriti Sharma talks about how Barclays is solving some of the toughest big data challenges in financial services using scalable, open source technology.


Hypermedia Web API as a Network of Data

Posted by Todd Brackley  on  Jun 14, 2016 1

Todd Brackley discusses accessing the “network of data” through a RESTful hypermedia API, exposing it to developers, testers, analysts and clients.


Big-Data Analytics Misconceptions

Posted by Irad Ben-Gal  on  May 03, 2016

Irad Ben-Gal discusses Big Data analytics misconceptions, presenting a technology predicting consumer behavior patterns that can be translated into wins, revenue gains, and localized assortments.


Understanding Real-time Conversations on Facebook

Posted by Janet Wiener  on  Apr 17, 2016

Janet Wiener discusses using a data pipeline and graphic visualizations to extract and analyze the Chorus – the aggregated, anonymized voice of the people communicating on Facebook - in real time.


Real-time Stream Computing & Analytics @Uber

Posted by Sudhir Tonse  on  Apr 09, 2016

Sudhir Tonse discusses using stream processing at Uber: indexing and querying of geospatial data, aggregation and computing of streaming data, extracting patterns, TimeSeries analyses and predictions.


Rethinking Streaming Analytics for Scale

Posted by Helena Edelson  on  Apr 03, 2016

Helena Edelson addresses new architectures emerging for large scale streaming analytics based on Spark, Mesos, Akka, Cassandra and Kafka (SMACK) or Apache Flink or GearPump.


Insights from History of Rock Music via Machine Learning

Posted by Ali Kheyrollahi  on  Mar 22, 2016 1

Ali Kheyrollahi uses clustering and network analysis algorithms to analyze the publicly available Wiki data on rock music to find mathematical relationship between artists, trends and subgenres.


Supercharging Operations and Analytics: Using Spring XD to Support Analytics and CEP

Posted by Joseph Paulchell  on  Feb 28, 2016 1

Joseph Paulchell discusses the journey from batch-oriented processes using databases to a real-time data streaming solution and the significant benefits achieved as well as the challenges encountered.


IoT Realized - The Connected Car v2

Posted by Phil Berman, Michael T Minella  on  Jan 30, 2016

Phil Berman and Michael T Minella present a solution developed with Spring XD to stream real-time analytics from a moving car using open standards.


Powering the Industrial Enterprise: Introducing the IOT Platform-as-a-Service

Posted by Jesus Rodriguez  on  Oct 31, 2015

Jesus Rodriguez explores the characteristics of the IOT PaaS vs. predecessor PaaS architectures, focusing on device management, event driven integration, real-time analytics and offline communication.

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