Neo4j-Databridge is a fully-featured ETL tool specifically built for Neo4j, and designed for usability, expressive power and high performance. It has been created to help solve the most common problems faced by large enterprises when importing data into Neo4j - data locality, multiple data sources and formats, performance when loading very large data sets, bespoke data conversions, inclusion of non-tabular data, filtering, merging and de-duplication.

In this webinar, we’ll take a quick tour of the main features of Neo4j-Databridge and understand how it can to help to solve these problems and facilitate importing your data easily and quickly into Neo4j.

Vince Bickers
Principal Consultant, GraphAware

Vince Bickers is a Principal Consultant at GraphAware and the main author of Neo4j OGM and Spring Data Neo4j (v4). He has been working with Neo4j for 5 years, and writing software and leading software development teams for over 30 years at organisations like Vodafone, Deutsche Bank, HSBC, Network Rail, UBS, VMWare, ConocoPhillips, Aviva, and British Gas.

Andrew Chumney
Single View Solutions Manager, Pitney Bowes

Andrew Chumney joined Pitney Bowes in May 2017 after a 20-year consulting career where he provided executive leadership in corporate restructuring, turn-around, mergers and acquisitions. His particular area of focus was operational efficiency, business intelligence, large enterprise master data management, technology architecture, marketing and brand development. His major clients have included Department of Defense, DynCorp, Lockheed, U.S. Department of Veterans Affairs, Verizon, ABC Radio Networks, Boeing (Jeppesen), Kaiser Permanente, IHS, Owens & Minor and PetSmart.

Most recently his projects have been focused on data science, data patterns and large enterprise master data management architectures. Andrew’s background in large system development and consulting projects allows him to bring a deep understanding of best practices and methodologies from a broad spectrum of vertical markets; manufacturing, healthcare, telecommunications, professional services and defense related industries.

Kelsey Bieri
Data Governance Analyst, ICC

Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.

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