Course : Databricks for data engineers
Practical course - 3d
- 21h00 - Ref. DKI
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 | Understand and use the various Databricks functions |
| Creating and manipulating notebooks |
| Setting up jobs |
| Using Python and SQL with Databricks |
| Understanding and using the Databricks Datastore |
| Creating dashboards with SQL Analytics |
| Connecting Databricks and Power BI |
Intended audience
Data engineers, employees involved in setting up, automating and industrializing data pipelines on modern cloud platforms.
Prerequisites
Good knowledge of SQL and data manipulation. Basic knowledge of Python.
Practical details
Hands-on work
Discussions, exercises and practical work.
Teaching methods
Active
Course schedule
1 Introduction
- Azure: cloud principles, presentation and benefits
2 Databricks: overview
- Introduction to Azure Databricks: concepts (data lakehouse, ETL, data warehouse)
- Data governance: Unity Catalog concepts
- Advantages of Databricks
3 Workspaces
- Azure Databricks resources
- Creating a workspace
- Connecting the workspace to external data sources
Hands-on work
Create a workspace and connect it to external data sources.
4 The different types of resources: clusters and SQL warehouse
- Presentation
- The different types of calculation
- Creating a cluster
- Cluster management
Hands-on work
Identify the different types of calculations, create and manage a cluster.
5 Unity Catalog
- Catalog creation
- Connecting to data from Unity Catalog
- Adding a table to the catalog schema
- Defining authorizations on a catalog table
- Focus: connecting to SQL databases
- Other ways of adding data to the catalog
Hands-on work
Create a catalog and connect data to it. Add a table, define authorizations and master SQL database connection.
6 Databricks: notebooks
- Notebook objectives and benefits
- The cell principle
- Controls
- Magic commands
- PySpark programming, SQL...
- Using cells and visualizing results
- Exporting and sharing notebooks
Hands-on work
Connect Databricks to storage tools (ADLS, SQL database, API), query, transform and store data in Databricks. Understand the different possible formats (Parquet, Delta, external table, etc.).
7 Spark and Delta principle
- Introduction to Spark SQL
- Delta lake concepts
- Table lifecycle management: merge delta, delete/insert
8 Process orchestration
- Calling up notebooks from Azure data factory and configuration
- Using Databricks workflows
- Workflow-based parameterization and configuration of Databricks notebooks
- Introduction to Databricks Delta Live Tables
Hands-on work
Handle Databricks workflows, set up and configure Databricks notebooks from within a workflow.
9 Databricks SQL
- Databricks SQL: administration
- SQL Editor
- Creating and executing a query
- Schedule a request
- Create alerts
- Sharing query results
- Options available on query results: export, display, display filters, result parameterization
Hands-on work
Create a query and share the results.
Customer reviews
4,4 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.
AXEL B.
29/06/26
4 / 5
This was the trainer’s first training session, and whilst it was fine for a first attempt, you could tell he hadn’t quite got to grips with the content yet and was reading straight from the slides a lot.Otherwise, the content and exercises were fine, though there was a slight lack of confidence and preparation, particularly with the exercises. The trainer was pleasant and answered all the questions.
ABAID E.
30/03/26
5 / 5
An excellent training course, with relevant and well-structured content. The teaching approach was clear, step-by-step and tailored to the participants’ needs, with practical explanations that made it easy to understand and put into practice
PARTICIPANTS
Data engineers, employees involved in setting up, automating and industrializing data pipelines on modern cloud platforms.
PREREQUISITES
Good knowledge of SQL and data manipulation. Basic knowledge of Python.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Data engineers, employees involved in setting up, automating and industrializing data pipelines on modern cloud platforms.
PREREQUISITES
Good knowledge of SQL and data manipulation. Basic knowledge of Python.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.