Early Bird Ends in:
Valdas is an IT Architect at Cognizant, where he leads Data Lake and Data Science platform implementations on Azure Cloud for various sectors in the Nordics. He helped design and develop product recommendation, sales optimization, product pricing and churn reduction use cases. Valdas is passionate about AI, Formula 1 and Space Exploration.
Making Data Scientists Productive in Azure
Doing data science today is far more difficult that it will be in the next 5-10 years. Sharing, collaborating on data science workflows in painful, pushing models into production is challenging.
Let’s explore what Azure provides to ease Data Scientists’ pains. What tools and services can we choose based on a problem definition, skillset or infrastructure requirements?
In this talk, you learn more about Azure Databricks, MLFlow, Azure Machine Learning, Delta Lake, Data Science Virtual Machines and Cognitive Services, with all the perks and limitations.
Build a Modern Data Platform in Azure
In this 1-day workshop, you will learn about the main concepts related to data processing and data engineering with Azure Data Services. You will understand what Azure services you can leverage to establish a solid data platform to quickly ingest, process and visualize data from a large variety of data sources. Together we will implement a modern data platform architecture – a proven setup to give you flexibility and scalability to grow and handle large volumes of data and keep an optimal level of performance.
Technologies you will use: Azure Data Factory, Databricks (w/Spark), Azure SQL, Azure Data Lake Gen 2, Event Hub, Stream Analytics, Power BI