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· 1 hour

Visual, scalable, and manageable data loading to and from Neo4j with Apache Hop

Thu, 2021 Sep 30 · 11:30 · Amsterdam
About This Webinar

Loading data into Neo4j often starts with a number of simple scripts. As your project grows, so does the number and size of your scripts: they quickly become hard to scale, hard to manage, and hard to maintain.

Apache Hop is a new open-source data orchestration platform that was designed from the ground up to tackle these problems. In Hop, data developers visually design data pipelines that can run on the Hop native engine, or on Spark, Flink, Google Dataflow over Apache Beam.

Hop has built-in life cycle management functionality to help you manage your projects and environments, version control with git, run unit tests, and more.

Apache Hop is unparalleled in its support for Neo4j with over 20 plugins to design, write, and read from your graphs.

Who can view: People who attended or registered for the webinar only
Webinar Price: Free
Featured Presenters
Webinar hosting presenter Bart Maertens
Managing Partner at know.bi
Data geek, co-founder of Apache Hop and founder of know.bi. We help our customers to build solutions with best-in-breed technology.
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Neo4j webinar platform hosts Visual, scalable, and manageable data loading to and from Neo4j with Apache Hop
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