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39:21

Fundamentals of Stream Processing with Apache Beam

Posted by Frances Perry  on  Feb 22, 2017 Posted by Frances Perry Tyler Akidau  on  Feb 22, 2017

Frances Perry and Tyler Akidau discuss Apache Beam, out-of-order stream processing, and how Beam’s tools for reasoning simplify complex tasks.

57:45

Spring with ApacheNiFi

Posted by Oleg Zhurakousky  on  Jan 21, 2017 Posted by Oleg Zhurakousky  on  Jan 21, 2017

Oleg Zhurakousky provides a quick introduction to Apache NiFi, demonstrates its core features while concentrating on WHY/WHERE and HOW of integrating with Spring.

29:32

Wall St. Derivative Risk Solutions Using Geode

Posted by Andre Langevin  on  Sep 21, 2016 Posted by Andre Langevin Mike Stolz  on  Sep 21, 2016

Andre Langevin and Mike Stolz discuss how Geode forms the core of many Wall Street derivative risk solutions which provide cross-product risk management at speeds suitable for automated hedging.

50:44

Ingest & Stream Processing - What Will You Choose?

Posted by Pat Patterson  on  Aug 14, 2016 1 Posted by Pat Patterson Ted Malaska  on  Aug 14, 2016 1

Pat Patterson and Ted Malaska talk about current and emerging data processing technologies, and the various ways of achieving "at least once" and "exactly once" timely data processing.

33:35

Apache Beam: The Case for Unifying Streaming APIs

Posted by Andrew Psaltis  on  Jul 30, 2016 Posted by Andrew Psaltis  on  Jul 30, 2016

Andrew Psaltis talks about Apache Beam, which aims to provide a unified stream processing model for defining and executing complex data processing, data ingestion and integration workflows.

45:50

Introducing Apache Ignite

Posted by Christos Erotocritou  on  Jun 24, 2016 Posted by Christos Erotocritou  on  Jun 24, 2016

Christos Erotocritou introduces Apache Ignite, discussing how it is used to solve some of the most demanding scalability and performance challenges. He covers typical use cases and examples.

01:21:26

Boot Your Search with Spring

Posted by Christoph Strobl  on  Dec 13, 2015 1 Posted by Christoph Strobl  on  Dec 13, 2015 1

Christoph Strobl focuses on integrating search solutions like Solr, Elasticsearch as well as MongoDBs full text search into an application.

58:37

Building Distributed Systems with Apache Mesos

Posted by Benjamin Hindman  on  Jul 25, 2015 Posted by Benjamin Hindman  on  Jul 25, 2015

Benjamin Hindman discusses Apache Mesos, focusing on the Mesos API and how the primitives provided by Mesos can make it easier to build new stateful services and frameworks.

38:03

Efficient Data Storage for Analytics with Parquet 2.0

Posted by Julien Le Dem  on  Mar 22, 2015 Posted by Julien Le Dem  on  Mar 22, 2015

Julien Le Dem discusses the advantages of a columnar data layout, specifically the features and design choices Apache Parquet uses to achieve goals of interoperability, space and query efficiency.

19:26

Why Would You Integrate Solr and Hadoop?

Posted by Yann Yu  on  Dec 28, 2014 Posted by Yann Yu  on  Dec 28, 2014

Yann Yu discusses how Solr and Hadoop complement each other, and how to use Solr as a real-time, analytical, full-text search front-end to data stored in Hadoop.

30:34

Apache Spark Plus Many Other Frameworks: How Spark Fits into the Big Data Landscape

Posted by Paco Nathan  on  Nov 09, 2014 Posted by Paco Nathan  on  Nov 09, 2014

Paco Nathan keynotes on how Spark fits into the big data landscape, describing what other systems work with Spark, and explaining why Spark is needed in the future.

01:33:09

What's New in Spring Data?

Posted by Thomas Darimont  on  Nov 07, 2014 1 Posted by Thomas Darimont Oliver Gierke Christoph Strobl  on  Nov 07, 2014 1

This talk provides a broad overview of the new features introduced in the latest Spring Data release trains: recent additions in Spring Data Commons and the latest features of individual store modules

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