Using Databricks platform for data storage, analysis and machine learning

DataScience@UL-FRI is an initiative at the Faculty of Computer and Information Science, University of Ljubljna (UL-FRI). Our mission is to make UL-FRI a leading center for teaching, research and industry collaboration in the area of Data Science.

Data Science@UL-FRI

Faculty of Computer and Information Science

SummaryThis workshop is primarily aimed at programmers (academics, professionals, or students) that have some experience with development and training machine learning models and classifiers, and data management. It is also recommended to have some basic experience with SQL. SyllabusDatabricks Lakehouse Platform unifies the best of data warehouses and data lakes in one simple platform.<ul><li>Why use Databricks? </li></ul><ul><li>DeltaLake, MlFlow and Spark</li></ul><ul><li>What does using Databricks look like? </li></ul><ul><li>Hands on: Helping to mitigate DDOS attacks with the help of machine learning:</li></ul><ol><li>Data import to DBFS</li><li>Query data with SQL syntax</li><li>Use of “Databricks notebooks”</li><li>ML model development and validation</li><li>Easily deploy model to test/production environment</li></ol>Instructor<a href="https://usatko.github.io" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Tadej Justin</a>, PhD, is currently chief data scientist at <a href="https://www.medius.si/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Medius d.o.o.</a>, a custom software development company, where they adopted Databricks platform to handle all their data, analytics and AI use cases. Tadej has more than 10 years’ experience in the field of machine learning. During his research studies, he focused on speech technologies and natural language processing. Nowadays he is actively promoting machine learning and data science as applied technology in every enterprise information system. With Medius, they have successfully applied machine learning in large companies and governmental information systems. Attendee equipment prerequisitesAttendees should bring their own laptops. Also it is advised that you register and set up a trial based Databricks cluster. The step-by-step instructions are available at: https://go.medius.tech/DSW2022-notes.Access to all other materials, code, datasets, and notebooks will be provided to participants a couple of days before the workshop.

Using Databricks platform for data storage, analysis and machine learning

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Using Databricks platform for data storage, analysis and machine learning

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