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This article mainly introduces how to migrate your data from Neo4j to Nebula Graph with Nebula Graph Exchange (or Exchange for short), a data migration tool backed by the Nebula Graph team. Before introducing how to import data, let’s first take a look at how data migration is implemented inside Nebula Graph.

Data Processing in Nebula Graph Exchange

The name of our data migration tool is Nebula Graph Exchange. It uses Spark as the import platform to support huge dataset import and ensure performance. The DataFrame, a distributed collection of data organized into named columns, provided by Spark supports a wide array of data sources. With DataFrame, to add new data source, you only need to provide the code for the configuration file to read and the Reader type returned by the DataFrame.

Source de l’article sur DZONE

Moving data from one system to another can be a complex process. In this post, we have broken down how to approach data migration in 3 stages:

  • Before you migrate
  • Ready to migrate
  • Once you’ve migrated

Your requirements will take into consideration:

Source de l’article sur DZONE

A lot of new online services are cropping up every day, making our life a lot easier. But it is always harder for users to switch to another product or service, which they think is better because the process usually involves downloading everything from one service and then re-uploading it all again to another. Thanks to GDPR—stands for General Data Protection Regulation, a legal regulation

Source de l’article sur The Hacker News