WEBINAR / EVENT

gurobipy-pandas: Running Optimization Models in an ETL Pipeline

Integrating gurobipy-pandas into an Extract, Transform, Load (ETL) pipeline enables the seamless incorporation of mathematical optimization directly into data workflows.

September 19 2024

WEBINAR / EVENT

gurobipy-pandas: Running Optimization Models in an ETL Pipeline

Integrating gurobipy-pandas into an Extract, Transform, Load (ETL) pipeline enables the seamless incorporation of mathematical optimization directly into data workflows.

September 19 2024

WEBINAR / EVENT

gurobipy-pandas: Running Optimization Models in an ETL Pipeline

Integrating gurobipy-pandas into an Extract, Transform, Load (ETL) pipeline enables the seamless incorporation of mathematical optimization directly into data workflows.

September 19 2024

Event Recap

Join us for an informative on-demand webinar where we’ll explore the tools that Gurobi has developed to facilitate integration of optimization models into extract, transform, and load (ETL) pipelines.

We’ll guide you through a real-world example of building an ETL job for optimization, focusing on:

*   Modeling a real-world optimization problem with gurobipy-pandas to create a clean data-in data-out API,
*   Constructing pipeline components to transform data into the right format for the optimization model, and
*   Deploying the pipeline using Azure Databricks and Gurobi Instant Cloud.

This webinar is designed for data scientists, engineers, and analysts who are interested in developing optimization models and extracting results in dataframe or tabular formats. Don’t miss this opportunity to learn how to seamlessly integrate advanced optimization techniques into your data workflows.

Event Recap

Join us for an informative on-demand webinar where we’ll explore the tools that Gurobi has developed to facilitate integration of optimization models into extract, transform, and load (ETL) pipelines.

We’ll guide you through a real-world example of building an ETL job for optimization, focusing on:

*   Modeling a real-world optimization problem with gurobipy-pandas to create a clean data-in data-out API,
*   Constructing pipeline components to transform data into the right format for the optimization model, and
*   Deploying the pipeline using Azure Databricks and Gurobi Instant Cloud.

This webinar is designed for data scientists, engineers, and analysts who are interested in developing optimization models and extracting results in dataframe or tabular formats. Don’t miss this opportunity to learn how to seamlessly integrate advanced optimization techniques into your data workflows.

Event Recap

Join us for an informative on-demand webinar where we’ll explore the tools that Gurobi has developed to facilitate integration of optimization models into extract, transform, and load (ETL) pipelines.

We’ll guide you through a real-world example of building an ETL job for optimization, focusing on:

*   Modeling a real-world optimization problem with gurobipy-pandas to create a clean data-in data-out API,
*   Constructing pipeline components to transform data into the right format for the optimization model, and
*   Deploying the pipeline using Azure Databricks and Gurobi Instant Cloud.

This webinar is designed for data scientists, engineers, and analysts who are interested in developing optimization models and extracting results in dataframe or tabular formats. Don’t miss this opportunity to learn how to seamlessly integrate advanced optimization techniques into your data workflows.

Speakers

Meet Your Expert Speaker

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.

  • Simon Bowly

    Senior Developer

    Image

    Dr. Simon Bowly completed his PhD in 2019 at the University of Melbourne, focusing on generating difficult test cases for optimization algorithms. Simon has previously lectured in applied data science and discrete optimization at Monash University, worked in optimization consulting for transport and logistics projects, and developed software for real time analytics in power generation applications.

  • Robert Luce

    Senior Director of Optimizer R&D

    Image

    Dr. Luce is an experienced researcher in applied mathematics, and author of numerous publications in the fields of numerical linear algebra and optimization. He holds a Ph.D. from Technical University of Berlin.

Speakers

Meet Your Expert Speaker

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.

  • Simon Bowly

    Senior Developer

    Image

    Dr. Simon Bowly completed his PhD in 2019 at the University of Melbourne, focusing on generating difficult test cases for optimization algorithms. Simon has previously lectured in applied data science and discrete optimization at Monash University, worked in optimization consulting for transport and logistics projects, and developed software for real time analytics in power generation applications.

  • Robert Luce

    Senior Director of Optimizer R&D

    Image

    Dr. Luce is an experienced researcher in applied mathematics, and author of numerous publications in the fields of numerical linear algebra and optimization. He holds a Ph.D. from Technical University of Berlin.

Speakers

Meet Your Expert Speaker

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.

  • Image

    Senior Developer

    Simon Bowly

    Dr. Simon Bowly completed his PhD in 2019 at the University of Melbourne, focusing on generating difficult test cases for optimization algorithms. Simon has previously lectured in applied data science and discrete optimization at Monash University, worked in optimization consulting for transport and logistics projects, and developed software for real time analytics in power generation applications.

  • Image

    Senior Director of Optimizer R&D

    Robert Luce

    Dr. Luce is an experienced researcher in applied mathematics, and author of numerous publications in the fields of numerical linear algebra and optimization. He holds a Ph.D. from Technical University of Berlin.