Databricks Training in Belgrade

Databricks serves as a unified Lakehouse platform, integrating Spark, Delta Lake, and governance capabilities (Unity Catalog) to facilitate scalable data engineering and analytics workflows.

This live, instructor-led training, available both online and onsite, targets intermediate-level technology managers with a background in data engineering. The course focuses on migrating complex procedural OLAP logic to a Lakehouse architecture utilizing Databricks, Spark, Delta Lake, Unity Catalog, and native workflows.

Upon completing this training, participants will be equipped to:

• Articulate Lakehouse architecture principles and the Bronze→Silver→Gold (Medallion) pattern.
• Convert stored-procedure logic into Spark DataFrame and notebook implementations.
• Design and execute incremental ingestion, merge operations, and optimization routines using Delta Lake.
• Construct end-to-end orchestrated pipelines leveraging Databricks Workflows, version control, testing protocols, and governance.

Course Format

• Intensive, instructor-led sessions featuring focused demonstrations and detailed explanations.
• Daily hands-on labs utilizing representative datasets and migration exercises.
• Guided code reviews, performance tuning clinics, and practical workflow orchestration exercises.

Course Customization Options

• This course can be adapted to suit your specific environment, datasets, and governance requirements. Please contact us to arrange for customization.

Azure Databricks is a cloud-based collaborative platform that supports big data analytics and machine learning using Apache Spark and the Microsoft Azure ecosystem.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to design, build, and deploy machine learning models using Azure Databricks for financial use cases.

By the end of this training, participants will be able to:

• Build and train machine learning models using financial data in Azure Databricks.
• Use MLflow to track experiments, manage models, and deploy solutions.
• Apply models to detect anomalies, assess risks, or forecast trends in finance.
• Integrate ML models into scalable pipelines for continuous evaluation.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Databricks is a comprehensive analytics platform built for handling big data and machine learning tasks in collaborative settings.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate data analysts and financial professionals aiming to conduct large-scale data analysis using Databricks in finance-related scenarios.

Upon completing this training, participants will be able to:

• Utilize Databricks notebooks to query and analyze financial datasets.
• Clean and transform raw financial data for reporting and insights.
• Create dashboards and visualizations for performance tracking.
• Collaborate with team members in real time on shared notebooks.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Belgrade (online or onsite) is tailored for data scientists and developers who wish to set up, deploy, and manage data analytics solutions using Databricks.

By the end of this training, participants will be able to:

• Set up and configure Databricks.
• Understand how Databricks and Apache Spark work together.
• Learn how to load and transform data in Databricks.