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ArangoML Part 4: Detecting Covariate Shift in Datasets

00ArangoML, General, Graphs, Machine LearningTags: ,

Estimated reading time: 1 minute

This post is the fourth in a series of posts introducing ArangoML and showcasing its benefits to your machine learning pipelines. Until now, we have focused on ArangoML’s ability to capture metadata for your machine learning projects, but it does much more. 

In this post we:

  • Introduce the concept of covariate shift in datasets
  • Showcase the built-in dataset shift detection API
ArangoML Pipeline Complete pipeline - ArangoDB Machine Learning
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ArangoML Part 3: Bootstrapping and Bias Variance

00ArangoML, General, Graphs, Machine LearningTags: ,

Estimated reading time: 2 minutes

This post is the third in a series of posts about machine learning and showcasing the benefits ArangoML adds to your machine learning pipelines. In this post we:

  • Introduce bootstrapping and bias-variance concepts
  • Estimate and analyze the variance of the model from part 2
  • Capture the metadata for this activity with arangopipe
ArangoML Pipeline Cloud
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Do Graph Databases Scale? Yes? No? Let’s see!

00cluster, General, Graphs, Performance

Estimated reading time: 10 minutes

Graph Databases are a great solution for many modern use cases: Fraud Detection, Knowledge Graphs, Asset Management, Recommendation Engines, IoT, Permission Management … you name it. 

All such projects benefit from a database technology capable of analyzing highly connected data points and their relations fast – Graph databases are designed for these tasks.

But the nature of graph data poses challenges when it comes to *buzzword alert* scalability. So why is this, and are graph databases capable of scaling? Let’s see…

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Red Hat Certifies ArangoDB Kubernetes Operator

10Graphs, Kubernetes

Estimated reading time: 2 minutes

Hi all!

I think this year has thrown us for quite a loop, full of unexpected occurrences, both joyous and difficult. With everything going on in the world at the moment, we feel it’s more important than ever to celebrate what you can .

So with that, just a quick note from us that our Kubernetes Operator has achieved Red Hat OpenShift Operator Certification. And as far as we can tell, this means we are the first graph database to reach full certification for Red Hat OpenShift. Huzzah!

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Best Practices for AQL Graph Queries

10General, Graphs, how to, Query Language

Estimated reading time: 8 minutes

The ArangoDB Query Language(AQL) was designed to accomplish a few important goals, including:

  • Be a human-readable query language
  • Client independency 
  • Support complex query patterns
  • Support all ArangoDB data models with one language

The goal of this guide is to ensure Read more

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