Online Databricks Training in US

Databricks is a unified Lakehouse platform that integrates Spark, Delta Lake, and governance (Unity Catalog) to support scalable data engineering and analytics workflows for government. This instructor-led, live training (online or onsite) is designed for intermediate-level technology managers with a background in data engineering who wish to migrate complex procedural OLAP logic to a Lakehouse architecture using Databricks, Spark, Delta Lake, Unity Catalog, and native workflows. Upon completion of this training, participants will be able to: - Explain the Lakehouse architecture and the Bronze→Silver→Gold (Medallion) pattern. - Translate stored-procedure logic into Spark DataFrame and notebook implementations. - Design and implement incremental ingestion, merge, and optimization routines using Delta Lake. - Build end-to-end orchestrated pipelines with Databricks Workflows, version control, testing, and governance. **Format of the Course** - Intensive, instructor-led sessions with focused demonstrations and explanations. - Daily hands-on labs using representative datasets and migration exercises. - Guided code reviews, performance tuning clinics, and workflow orchestration practice. **Course Customization Options** - This course can be tailored to your specific environment, datasets, and governance requirements for government; please contact us to arrange customization.

Databricks Lakehouse is a unified data and AI platform that integrates data engineering, data science, and analytics on a single, scalable foundation. This instructor-led, live training (online or onsite) is designed for intermediate-level to advanced-level data engineers and analytics practitioners who seek end-to-end, production-ready skills in data engineering using Databricks, Apache Spark, orchestration, and downstream visualization. By the end of this training, participants will be able to: - Design and implement scalable ETL/ELT pipelines on the Databricks Lakehouse platform. - Use Spark and advanced SQL effectively for large-scale data processing and optimization. - Build, train, and deploy models using Big Data ML patterns and Databricks tooling. - Implement data modeling and ingestion patterns aligned with analytics and reporting needs. - Automate workflows with Airflow/Astronomer and operationalize with Git-based CI/CD. - Create production-grade dashboards and visualizations using Tableau connected to Databricks. - Deliver a customized capstone project demonstrating an end-to-end Lakehouse solution. **Format of the Course** - Theoretical lectures with focused daily topics and reading assignments. - Extensive hands-on labs in Databricks and cloud environments. - Weekly practical assessments and preparation for certification badges. - Guided project work with instructor mentorship and peer reviews. - Final customized capstone project and presentation. **Course Customization Options for Government** To request a customized training tailored to the specific needs of government agencies, please contact us to arrange.

Azure Databricks is a cloud-based collaborative platform designed to support big data analytics and machine learning using Apache Spark within 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 government 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 for government applications.
• Apply models to detect anomalies, assess risks, or forecast trends in financial data.
• Integrate ML models into scalable pipelines for continuous evaluation and improvement.

Format of the Course

• Interactive lecture and discussion sessions.
• Extensive exercises and practical applications.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for government use, please contact us to arrange.

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:

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

Format of the Course

• Interactive lecture and discussion tailored to public sector needs.
• Extensive exercises and hands-on practice.
• Practical implementation in a live-lab environment for government use cases.

Course Customization Options

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

This instructor-led, live training in US (online or onsite) is aimed at data scientists and developers who wish to set up, deploy, and manage data analytics solutions using Databricks for government. By the end of this training, participants will be able to: - Set up and configure Databricks. - Understand how Databricks integrates with Apache Spark. - Learn methods for loading and transforming data in Databricks.