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April 4, 2025
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Codes and examples to get you started

All the things you need to start with Hopsworks

Basic Tutorial
Batch

Churn

Predict customers that are at risk of churning.

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Advanced Tutorial
Batch

Credit Default Risk

Predict clients' repayment abilities.

Additional ressources:
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Basic Tutorial
Real-Time
On-demand Features

Fraud - Online

Detect Fraud Transactions.

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Basic Tutorial
Batch

Fraud - Batch

Detect Fraud Transactions using batch data.

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Basic Tutorial
Real-Time
On-demand Features

Quick Start

An introductory tutorial including all the main concepts to get started easily.

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Basic Tutorial
Batch
On-demand Features

Loan Approval

Predict loan approvals.

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Feature engineering

Kafka PySpark Example

In this example, you write a PySpark program that produces and consumes messages to/from a Kafka cluster. This program can only be run from inside Hopsworks.

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Hopsworks Integration

Weights and Biases with Hopsworks

Build a machine learning model with Weights & Biases.

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Hopsworks Integration

Great Expectations with Hopsworks

Introduction to Great Expectations concepts and classes which are relevant for integration with the Hopsworks MLOps platform.

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On-demand Features
Hopsworks Integration

BigQuery Storage Connector

Create an External Feature Group using BigQuery Storage Connector.

Additional ressources:
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On-demand Features
Hopsworks Integration

Google Cloud Storage

Create an External Feature Group using GCS Storage Connector.

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On-demand Features
Hopsworks Integration

Redshift

Create an External Feature Group using Redshift Storage Connector.

Additional ressources:
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On-demand Features
Hopsworks Integration

Snowflake

Create an External Feature Group using Snowflake Storage Connector.

Additional ressources:
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On-demand Features
Hopsworks Integration

DBT Tutorial with BigQuery

Perform feature engineering in DBT on BigQuery.

Additional ressources:
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Hopsworks Integration

Feature Monitoring

How to implement feature monitoring in your production pipeline.

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Hopsworks Integration

Bytewax

Real-time feature computation using Bytewax.

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Hopsworks Integration

Apache Beam

Real time feature computation using Apache Beam, Google Cloud Dataflow and Hopsworks Feature Store.

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Hopsworks Integration

Apache Flink

Real time feature computation using Apache Flink and Hopsworks Feature Store.

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Hopsworks Integration

Federated Offline Query

Create Snowflake, BigQuery and Hopsworks feature groups and then combine them in a unified view exposing all features together regardless of their source.

Additional ressources:
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Hopsworks API

Hopsworks Project API

This example of Hopsworks Python API program shows how to create new projects or access existing ones in Hopsworks.

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Hopsworks API

Hopsworks OpenSearch API

How to run a Python program (from inside Hopsworks) that acts as an opensearch-py client for the OpenSearch cluster in Hopsworks.

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Hopsworks API

Hopsworks Kafka API

This example shows the Hopsworks Python API for Kafka - manage schemas, topics and set up the connection to the kafka brokers.

Additional ressources:
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Hopsworks API

Hopsworks Jobs API

This example of Python Hopsworks API program, shows how to create a job for an existing python or spark program, execute it and access application logs.

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Hopsworks API

Hopsworks Dataset API

How to upload data to your cluster and download data from the cluster to your local environment.

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Hopsworks API

Hopsworks Git API

This Python Hopsworks API example shows how to clone a git repository, checkout new branches to develop a feature, and push it to a remote.

Additional ressources:
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Hopsworks API

Hopsworks Secrets API

This example Hopsworks program shows the Python API for managing secrets in Hopsworks.

Additional ressources:
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Machine Learning

Hopsworks File System Example

This Python Hopsworks example shows how to interact with HopsFS from python, using the hdfs module.

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Orchestration

Launch a Job on Airflow

How to run an example Airflow DAG that launches jobs on Hopsworks.

Additional ressources:
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Advanced Tutorial
Batch

Air Quality Prediction

Predict the Air Quality value (PM2.5) in Europe and USA using weather features and air quality features of the previous days.

Additional ressources:
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Advanced Tutorial
Batch

NYC Taxi Fares

Predict the fare amount for a taxi ride in New York City given the pickup and drop off locations.

Additional ressources:
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Advanced Tutorial
On-demand Features
Batch
Real-Time

Recommender System

Build a recommender system for fashion items based on data from previous transactions, as well as from customer and product meta data.

Additional ressources:
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Batch
On-demand Features
Advanced Tutorial
Real-Time

TimeSeries

Timeseries price prediction based on previous prices and engineered features such as RSI, EMA, etc.

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