Data Engineering Training course with Azure Data Lake, Synapse, Data Factory and Spark
- Price
- Duration
- Number of hours
Our sessions are guaranteed with a minimum of one participant (except in cases of force majeure).
Description of this training Microsoft DP-203
With the rise of big data and distributed architectures, companies need engineers who can design, automate, and manage reliable and scalable data pipelines.
This training covers key Azure technologies: Data Lake, Synapse Analytics, Data Factory, Azure SQL, Stream Analytics, and Spark.
Through a project-based approach, you will learn how to ingest, store, transform and secure data, whether in batch or real time.
Format
Remote (recorded sessions).
GOOD TO KNOW
This training course includes numerous exercises (60% practical) to enhance learning. Sessions are guaranteed with a minimum of one participant (except in cases of force majeure). A preliminary interview is held between the participant and/or a company representative in order to fully assess the participant’s profile (level, needs, professional context, challenges, etc.).
Assessment : during the training course, the trainer assesses the participants’ progress through multiple-choice questions, role-playing exercises and practical work. Participants receive a certificate of completion at the end of the training course.
objectives of this training course Microsoft DP-203
By the end, each participant will be able to :
- Understanding the architecture of data solutions in Azure
- Designing ingestion pipelines with Azure Data Factory and Synapse
- Working with structured and unstructured data (SQL, NoSQL, JSON, Parquet)
- Implementing analytics solutions with Azure Synapse and Apache Spark
- Managing data security, privacy, and governance
Prerequisites of this training course Microsoft DP-203
- Experience in data processing, SQL, ETL or BI
- Basic knowledge of cloud computing and the Azure platform
- Optional but useful : development skills (Python, Spark, Scala)
- Because each participant is unique, a personalised interview with our expert allows us to design a training course that is perfectly aligned with their objectives, level and professional challenges.
Target Audience
Data teams, BI developers, cloud consultants, and data solution architects in Azure.
Detailed of this training course Microsoft DP-203
Fundamentals of data architecture on Azure
Overview of services (Synapse, Data Lake, Datalake Gen2, Storage, SQL, Cosmos DB)
Data ingestion with Azure Data Factory
Pipelines, triggers, dataflows, intégration cloud/hybride, connectors.
Modelling and transformation with Synapse and Spark
Spark pools, Notebooks, exploratory analysis, cleaning, joins, Parquet/CSV formats.
Data security and governance
RBAC access, Azure Purview, dynamic masking, key management, GDPR compliance.
Real-time and streaming data
Azure Stream Analytics, Event Hub, stream processing, Lambda architecture.
The advantages of this training course
- Covers the entire data lifecycle on Azure (ingestion → storage → analysis)
- Strong practical focus, geared towards real data and cloud projects
- Includes modelling, security, batch and stream processing, all in a single course
FORMA-IT's training courses are also supportive
At Forma-IT, we believe that training can also be a lever for solidarity. This is why part of each registration is donated to associations that work in areas that are close to our hearts:
The SPA, for animal protection
The Restos du Cœur, for the fight against precariousness
Ludopital, to make the daily lives of hospitalized children easier
- APF France Handicap, for the rights of people with disabilities and their families
By choosing Forma-IT, you invest in your skills while contributing to essential causes.
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Would you like to know about upcoming sessions ?
Would you like to schedule this Training Course on a specific date ? Contact us by email or by filling out the contact form.