11th TUC Meeting, University of Texas at Austin

  • Posted on: 21 February 2018
  • By: Damaris Coll

The LDBC consortium is pleased to announce its Eleventh Technical User Community (TUC) meeting.

This will be a one-day event preceding the SIGMOD/PODS 2018 conference in Houston, Texas the previous day.  TUC meeting will take place the 7th June, 2018 at University of Texas in Austin.

LDBC Technical User Community meetings serve to:

  1. Learn about progress in the LDBC task forces on graph benchmark development
  2. Give feedback on graph benchmark developments
  3. Hear about user experiences with graph data management technologies

 

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1st Joint GRADES and NDA event held in Houston the 10th of June 2018

  • Posted on: 20 February 2018
  • By: Damaris Coll

The 1st joint international workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) will take place the 10th of June 2018. This event will be co-located with the ACM SIGMOND International Conference on Management of Data at Houston, Texas.

The focus of the GRADES-NDA workshop is the application areas, usage scenarios and open challenges in managing large-scale graph-shaped data. The workshop is a forum for:

10th TUC Meeting will take place in Munich on September 2017

  • Posted on: 9 June 2017
  • By: Damaris Coll

The LDBC consortium is pleased to announce its 10th Technical User Community (TUC) meeting. The event will take place on the 1st of September in Munich where the VLDB (Very Large Data Bases) 43rd international conference takes also place.

The venue information, call for papers and more details will be communicated in the following weeks.

We encourage everyone form the Graph Databases and RDF community to book their agendas!

 

Fifth GRADES workshop held at SIGMOD/PODS 2017 in Chicago

  • Posted on: 23 May 2017
  • By: Damaris Coll

On Friday May 19 the fifth GRADES workshop was held at the primary database conference SIGMOD/PODS 2017 in Chicago.

GRADES is sponsored by LDBC, as the workshop aims to stimulate research and development of new graph data management technologies, the sharing of user experience and new graph data management scenarios, as well as indeed performance benchmarking of these systems. All these topics, and specifically the latter are also in the scope of LDBC.

8th TUC Meeting - Juan Sequeda (Capsenta). Integrating Data using Graphs and Semantics

  • Posted on: 8 February 2017
  • By: Adrian Diaz

Juan Sequeda, Co-founder of Capsenta, gave an interesting talk on how can we integrate data using graphs and semantics (semantic data virtualization). As Mr. Sequeda said, the idea is to integrate data without needing to move it around. Juan started off his presentation talking about the huge gap that exists between the IT departments, guardians of the data and the business development departments, trying to extract insights about the data. He used a clear example to illustrate this gap:

8th TUC Meeting - Zhe Wu (Oracle USA). Bridging RDF Graph and Property Graph Data Models.

  • Posted on: 7 February 2017
  • By: Adrian Diaz

During the 8th TUC Meeting held at Oracle’s facilities in Redwood City, California, Zhe Wu, Software Architect at Oracle Spatial and Graph, explained how is his team trying to bridge RDF Graph and Property Data Models.

After making a brief overview about what is a graph he presented Oracle’s Graph strategy, they basically treat graphs as another data type on every platform (Hadoop, Oracle’s own database and, of course, in the Cloud). He also explained that his team is developing in 3 directions at the same time:

8th TUC Meeting – Yinglong Xia (Huawei), Big Graph Analytics Engine

  • Posted on: 3 February 2017
  • By: Adrian Diaz

Yinlong started his talk with an introduction of his new position at Huawei, what is the company doing and more specifically how is it involved with Big Data Research and graphs. He also explained that his research center is currently working on Big Data Analytics and Management from 4 sides: Natural Language Processing, Graph analyrics, Machine Learning and Deep Learning. His team at the same time, focuses on 4 market segments that include financial graph analytics, consumer data gathered from smartphones and other portable devices, telecommunications and cloud technology.

8th TUC Meeting – George Fletcher (TU Eindhoven), gMark: Schema-driven data and workload generation for graph databases

  • Posted on: 31 January 2017
  • By: Adrian Diaz

George Fletcher, Associate Professor at the Eindhoven University of Technology, presented gMark, an open-source framework for generating synthetic graph instances and workloads. The main focus of gMark has been to tailor different graph data management scenarios, often driven by query workloads. Such as multi-query optimization, workload-driven graph database physical design or mapping discovery and query rewriting data integration systems.

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