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July 13, 2018

In this unit, you will learn about graph traveral steps. Gremlin traversal steps and step modulators are defined by interface GraphTraversal. There are around 100 methods with distinct names in this interface. We will be showing you a few things...

July 13, 2018

Gremlin is a graph traversal language, defined by the Apache Tinkerpop Project. It is the language used in DataStax Enterprise Graph, and in manhy other graph databases. In this unit, we will introduce you to Gremlin.

July 13, 2018

We are going to start how we can traverse graph data in DataStax Enterprise Graph. We will begin with some important preliminaries.

July 13, 2018

In this unit, you will learn about a more formal approach to graph data modeling, using the the Graph Data Modeling Framework. This gives you a methodology to use when designing your graph data model.

July 13, 2018

The data-driven approach is one of the two approaches you can use for graph data modeling in DataStax Enterprise Graph. With the data-driven approach, you populate the graph and rely on DataStax Enterprise Graph to generate the schema for you...

July 13, 2018

In this unit, you will learn about graph data modeling with DataStax Enterprise Graph. Data quality, storage and retrieval are all at stake, so we'll walk you through how to get it right.

July 13, 2018

In this section, you will learn all about using the DataStax Enterprise Graph Loader. The DSE Graph Loader is a customizable command-line utility that’s great for loading small to medium size graph datasets.

July 13, 2018

In this unit, we’ll be tdiscussing how you can import and export graphs with Gremlin IO. Gremlin IO is suitable for exporting and importing small to medium existing graphs and it’s recommended to use this in development environments.

July 13, 2018

In this unit, we’ll be talking about all the different ways you can load and insert data into DataStax Enterprise Graph.

July 13, 2018

In this unit, you will learn about edge indexes in DataStax Enterprise Graph. Edge indexes are useful when traversing through a specifc vertex with a large number of incident edges.