Apache Spark + AI Munich Meetup - Graph July 2019

We are delighted to announce our graph focused event this summer in Munich.

This event will be hosted by b.telligent together with two great speakers from the graphs community:

• Dr. Andreas Hopfgartner & Dr. Sebastian Petry (b.telligent)

• Martin Junghanns (Neo4j)

Talk 1: Graphs are everywhere!? - Not yet, but maybe soon.
Talk 2: Extending Apache Spark Graph for the Enterprise with Morpheus and Neo4j

TALKS:

Title:
Extending Apache Spark Graph for the Enterprise with Morpheus and Neo4j

Abstract:
Apache Spark 3.0 introduces a new module: Spark Graph. Apache Spark Graph adds the popular query language Cypher, its accompanying Property Graph Model and graph algorithms to the data science toolbox. Graphs have a plethora of useful applications in recommendations, fraud detection, and research.
Morpheus is an open-source library that is API compatible with Spark
Graph and extends its functionality by:

• A Property Graph catalog to manage multiple Property Graphs and Views

• Property Graph Data Sources that connect Spark Graph to Neo4j and SQL databases

• Extended Cypher capabilities including multiple graph support and
  graph construction

• Built-in support for the Neo4j Graph Algorithms library

In this talk, we will walk you through the new Spark Graph module and
demonstrate how we extend it with Morpheus to support enterprise users
to integrate Spark Graph in their existing Spark and Neo4j
installations. We will demonstrate how to explore data in Spark, use
Morpheus to transform data into a Property Graph, and then build a Graph Solution in Neo4j.

Bio:
Martin Junghanns is part of the Morpheus Engineering team at Neo4j and one of the Apache Spark Graph contributors. He has a research background in distributed graph analytics, his main interests are query engines, graph algorithms, and functional programming languages. Martin holds an MSc Computer Science degree from the University of Leipzig.

Title:
Graphs are everywhere!? - Not yet, but maybe soon.

Abstract:
In an increasingly interconnected world, mathematical models are often sought to describe these networks and to be able to use network structures. One possibility is graphing.
Graphs are defined and described out of the network idea. Subsequently, we transfer this mathematical model to applications outside of networks. Finally, a practical example of the application of graphs is presented.

Graphs are everywhere - maybe not, but they could be much more common. "Use Graphs - use connections"

Bio:
Dr. Sebastian Petry

• Development and optimization of analytical methods and tools
• Project management
• Leadership
• Different analytic projects with data science and statistical methods

Dr. Andreas Hopfgartner

• Physicist with focus on modeling, algorithms and signal processing
• Coverage of the complete data science stack with a focus on enterprise IoT
• Coverage of the complete data science stack with a focus on enterprise IoT
• Sensors, Constraint devices, Embedded Systems / Bus & Networks
• Signal Processing
• Profound experience in R&D, engineering, software development#

HOUSEKEEPING:

• 2 talks (each ca. 40 min incl. discussion)

• Networking, food & drinks

• Language: English

• There will be photos taken

• A list of registered users will be provided to the host

• Please bring your ID