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Data Engineering Learning Path (English)

6 days

Description

In the Data Engineering program, we help you take the next step as a Data Engineer:
  • For example, from on-premises to the cloud
  • .. or from an RDBMS to a data platform such as Databricks, Snowflake, or Fabric
Each week we cover an important topic within Data Engineering and work on it hands-on. By the end, you will have built a Proof of Concept of a data platform and significantly broadened and deepened your Data Engineering knowledge.

Great course where the different aspects and possibilities of data engineering are covered step by step. The course provides a lot of practice material that allows you to apply the knowledge in real-world scenarios. Each week you continue building your own Proof of Concept in this way. The instructors have a lot of practical knowledge, and because the group size is kept limited, there is always enough room for questions and support when you get stuck.

10

This was my first program through the Wortell Smart Unlimited Learning program. The program starts with a good overview of possibilities and concepts in the cloud. In the following weeks, you dive deeper into the subject matter and work extensively hands-on. The level of the program is good in my opinion, and I definitely learned a lot. The trainer is very knowledgeable, explains clearly, and is always willing to answer questions. The training location in Utrecht was also good and easy to reach.

10

Excellent training with clear examples and assignments to become familiar with all concepts and possibilities of Data Engineering. The training is very broad and in my opinion mainly suitable for people with little to no experience in Data Engineering. You learn a lot about the subject, but especially about what you do not yet know. After only a few weeks, you are fully up to speed to start working independently and explore topics further and/or follow additional training in areas you want to learn more about.

9

Excellent all-round Data Engineering training. Learned a lot about cloud setup, Data Factory, Databricks, and Synapse. The trainer was knowledgeable and was able to tell us a lot about both the architecture and the reasoning and technology behind it.

8

Passionate trainer who explains with great enthusiasm and knowledge. The course gave me a good overview of what is possible in the data domain. The trainer provides plenty of room for personal use cases and questions and regularly checks whether the training still meets your expectations. That is very pleasant.

8

Despite the combination of participants attending remotely and on-site, the training was easy to follow. There was a lot of interaction with a good balance between theory, demos, and performing exercises yourself to become familiar with the various services in Azure. There was also room to zoom in on specific questions or topics based on participant needs.

9

The trainer is very thoughtful, intelligent, and both Trainer and Consultant at the same time. Ideal, partly because of practical knowledge, but also didactically skilled, making him very effective in supporting the learning ability of participants. On top of that, this is a tailored learning program because it is continuously evaluated whether it matches the knowledge level. This combination makes him highly recommended.

10

Prerequisites for attending the Data Engineering program

In this training, you need prior knowledge of the principles of Business Intelligence and Data Warehousing. This experience may come from previous experience with the SQL Server stack, or broad experience with Power BI.
T-SQL for data analysts (DP-080) (English)
Data Engineering Learning Path (English)

Topics

In this program, you can choose which technology you want to specialize in by selecting a "stream". The streams we offer are:
  • Stream 1: Snowflake
  • Stream 2: Databricks
  • Stream 3: Microsoft Fabric
The Data Engineering program consists of 5 weeks, divided into the following modules. Each week you prepare for the training day. This allows room on the training day for deeper learning, discussions, conversations, and working on your Proof of Concept.
  • Architecture and design
    • Cloud architecture
    • Designing a Data Platform
    • Federated Governance
    • Collaboration
    • Data Warehousing
    • Lakehouses and the Medallion architecture
    • Data Fabric
    • Data Mesh
  • Setting up your cloud platform
  • Ingestion, orchestration, and exposing data sources
    • Azure Data Factory
    • External Stages in Snowflake
    • Working with APIs
  • Transformation and Analytics Engineering
    • ETL/ELT
    • Data Factory
    • dbt
    • Databricks Jobs and Notebooks
    • Snowflake Tasks and Streams
  • Completing the Proof of Concept and broadening / deepening knowledge. Possible topics:
    • Security and networking
    • Infrastructure as Code
    • Streaming Data

All topics are approached from a Data Engineering perspective. Not only is it important how to use a tool, but also how it fits into the broader data landscape and how the overall solution remains maintainable.

Study materials

In the Data Engineering program, we use materials developed in-house by Wortell Smart Learning. This includes slides, assignments during training days, and assignments between sessions. We also provide ample material to help you deepen or broaden your knowledge. We ensure you receive all necessary materials on time.

Available dates

There are currently no scheduled dates available. Please contact us for options.