Databricks and PySpark for Data Engineering Training Course

Azure Databricks serves as a cloud-based collaborative platform that facilitates big data analytics and machine learning leveraging Apache Spark alongside the Microsoft Azure ecosystem.

This instructor-led live training, available online or onsite, targets intermediate-level data professionals looking to design, build, and deploy machine learning models using Azure Databricks for financial applications.

Upon completion of this training, participants will be capable of:

• Constructing and training machine learning models using financial data within Azure Databricks.
• Utilising MLflow to track experiments, manage models, and deploy solutions.
• Applying models to identify anomalies, assess risks, or forecast trends within the financial sector.
• Integrating ML models into scalable pipelines for continuous evaluation.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation in a live laboratory environment.

Course Customisation Options

• To request a bespoke training session for this course, please contact us to make arrangements.

This instructor-led live training in Greece (online or onsite) is designed for data scientists and developers wishing 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 integrate and work together.
• Learn techniques for loading and transforming data within Databricks.

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

This instructor-led live training, available either online or onsite, targets intermediate-level technology managers with a background in data engineering who aim to migrate complex procedural OLAP logic to a Lakehouse architecture utilizing Databricks, Spark, Delta Lake, Unity Catalog, and native workflows.

After completing this training, participants will be equipped to:

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

Course Format

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

Course Customization Options

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

Databricks is a unified analytics platform designed for big data and machine learning in collaborative environments.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data analysts and financial professionals who wish to perform large-scale data analysis using Databricks in finance-related use cases.

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

• Use 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 training offers a hands-on introduction to developing scalable data processing and Machine Learning workflows utilizing PySpark. Participants will discover how Apache Spark functions within contemporary Big Data ecosystems and learn to process large datasets efficiently by applying distributed computing principles.

In this instructor-led live training in Greece, participants will learn how to leverage Python and Spark together to analyze big data while completing hands-on exercises.

Upon completion of this training, participants will be able to:

• Utilize Spark with Python to analyze Big Data.
• Complete exercises that simulate real-world scenarios.
• Apply various tools and techniques for big data analysis using PySpark.

Stratio offers a comprehensive, data-centric platform that unifies big data capabilities, artificial intelligence, and governance into a single, cohesive solution. Its Rocket and Intelligence modules empower organizations to perform rapid data exploration, transformation, and advanced analytics within enterprise-grade environments.

This instructor-led live training, available online or on-site, is designed for intermediate-level data professionals seeking to harness the full potential of Stratio’s Rocket and Intelligence modules using PySpark. The curriculum emphasizes looping structures, user-defined functions, and sophisticated data logic to enhance workflow efficiency.

Upon completion of this training, participants will be able to:

• Navigate and effectively utilize the Stratio platform, specifically the Rocket and Intelligence modules.
• Apply PySpark techniques for data ingestion, transformation, and analysis within the Stratio ecosystem.
• Implement loops and conditional logic to manage data workflows and execute feature engineering tasks.
• Develop and manage User-Defined Functions (UDFs) to enable reusable data operations in PySpark.

Course Format

• Interactive lectures paired with group discussions.
• Extensive hands-on exercises and practical practice sessions.
• Real-world implementation through a live-lab environment.

Customization Options

• For tailored training solutions, please reach out to us to discuss your specific requirements.