NextLytics Blog

    Apostolos

    Apostolos
    Apostolos has been a Data Engineering Consultant for NextLytics AG since 2022. He holds experience in research projects regarding deep learning methodologies and their applications in Fintech, as well as background in backend development. In his spare time he enjoys playing the guitar and stay up to date with the latest news on technology and economics.

    Recent Posts of Apostolos

    Databricks and MLflow: A Perfect Match for Scalable Machine Learning

    Databricks and MLflow: A Perfect Match for Scalable Machine Learning

    Databricks is arguably an ideal candidate governing data, developing machine learning models and performing experiments. The interactive and collaborative nature of the ...
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    Efficient Continuous Deployment Monitoring with Apache Airflow

    Efficient Continuous Deployment Monitoring with Apache Airflow

    Continuous Integration and Continuous Deployment (CI/CD) is an integral part of every modern software development life cycle. A DevOps engineer is tasked with ensuring ...
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    A sales planning machine learning framework in AzureML

    A sales planning machine learning framework in AzureML

    Sales planning is a hot topic for every business that engages in commerce. Acquiring insights about projected sales figures is deemed an important yet strenuous task. By ...
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    Track Apache Airflow Metrics and Statistics with Superset

    Track Apache Airflow Metrics and Statistics with Superset

    Apache Airflow is the leading open source workflow orchestration platform and drives day-to-day digital business all over the world. If your organization uses Airflow, ...
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    Data-Aware Scheduling with Apache Airflow Datasets

    Data-Aware Scheduling with Apache Airflow Datasets

    It is well established by now that Airflow is the state-of-the-art tool for scheduling and monitoring workflows in a unified framework. Airflow enables us to define ...
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    Machine Learning use cases for companies

    Machine Learning use cases for companies

    Machine Learning (ML) will continue to be a popular answer to current business challenges in 2021. While on the one hand the business world is becoming more and more ...
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    Machine Learning & the Day after Corona - Does the Glass Ball need to be Reexamined?

    Machine Learning & the Day after Corona - Does the Glass Ball need to ...

    The world will be different after the coronavirus pandemic, most experts are sure of that much, but what does this mean for their forecasts and planning tools? You don't ...
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    How to use TensorFlow with SAP HANA EML

    How to use TensorFlow with SAP HANA EML

    SAP HANA External Machine Learning (EML) as part of the SAP HANA Application Function Library (AFL) allows the execution of already trained TensorFlow models. This ...
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