In this course you will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies.
You will begin by understanding the core compute and storage technologies that are used to build an analytical solution. You will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files. You will learn how to interactively explore data stored in files in a data lake. You will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. You will also learn the various ways you can transform the data using the same technologies that is used to ingest data. You will spend time on the course learning how to monitor and analyze the performance of analytical system so that you can optimize the performance of data loads, or queries that are issued against the systems. You will understand the importance of implementing security to ensure that the data is protected at rest or in transit. You will then show how the data in an analytical system can be used to create dashboards, or build predictive models in Azure Synapse Analytics.

  • Duration

    4  days
  • Goal

  • Target group

    • The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure.
    • The secondary audience for this course data analysts and data scientists who work with analytical solutions built on Microsoft Azure.
  • Contents

    • Explore compute and storage options for data engineering workloads
    • Design and implement the serving layer
    • Data engineering considerations for source files
    • Run interactive queries using Azure Synapse Analytics serverless SQL pools
    • Explore, transform, and load data into the Data Warehouse using Apache Spark
    • Data exploration and transformation in Azure Databricks
    • Ingest and load data into the data warehouse
    • Transform data with Azure Data Factory or Azure Synapse Pipelines
    • Orchestrate data movement and transformation in Azure Synapse Pipelines
    • Optimize query performance with dedicated SQL pools in Azure Synapse
    • Analyze and Optimize Data Warehouse Storage
    • Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
    • End-to-end security with Azure Synapse Analytics
    • Real-time Stream Processing with Stream Analytics
    • Create a Stream Processing Solution with Event Hubs and Azure Databricks
    • Build reports using Power BI integration with Azure Synapase Analytics
    • Perform Integrated Machine Learning Processes in Azure Synapse Analytics
  • Requirements

    Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.


  • Our quality promise

Contact to our service center

DE+49 (0) 711 90363245

CH+41 (0) 584 595795

AT+43 (01) 33 2353160

FR+41 (0) 584 595454

EN+49 (0) 711 90363245

DA+49 (0) 711 90363245

email[email protected]

Early booking pays off

Book your training at least 3 or 6 months before the start of the course and take advantage of the flexible pricing.

> 6 months


> 3 months


0-3 months


Place Date Language Price
Virtual Classroom 03.07 - 06.07.2023 de  2.060,00
Virtual Classroom 16.10 - 19.10.2023 de  1.830,00
Virtual Classroom 11.12 - 14.12.2023 de  1.830,00
In-house training courses on request Inquiry
  •  Guaranteed to take place
  •   The course will definitely take place if you make a booking
  •   There are no free places left on this course. If you still book it, we will place you on the waiting list.
  • The course price is shown in the currency EUR. For orders from Switzerland, we convert the price into CHF and take into account the appropriate VAT rate. We are also happy to assist you with your order by telephone: CH +41 58 459 57 95 or DE +49 711 903 632 45.

Ausgezeichnet und geprüft

Erfahrungen & Bewertungen zu Trivadis Training Erfahrungen & Bewertungen zu Trivadis Training anzeigen
Back to overview
0
Trivadis, Bernd Rössler, Head of Training

Bernd Rössler

Solution Manager Trivadis Training

DE: +49 (0) 711 90363245
CH: +41 (0) 584 595795
AT: +43 (0) 133 2353160
FR: +41 (0) 584 595454
EN: +49 (0) 711 90363245
DA: +49 (0) 711 90363245

E-Mail: [email protected]

“I'll be glad to advise you on topics such as individual coaching, workshops, project support, and online training courses.”

Your Bernd Rössler

trivadis training satisfaction guarantee

Guarantee of quality

Following completion by the participants, every single training course is assessed at the levels

  • suitability of the training room,
  • suitability of the workplace,
  • functionality of the technical equipment, and
  • satisfaction throughout the entire course / seminar,

and recorded in our "TRIVALUATION" feedback system for quality assurance purposes. This enables us to consistently ensure the high quality and satisfaction of our valued customers. We really appreciate the overall rating of 9.3 from 10 points awarded by our many enthusiastic customers.


rivadis training success guarantee

Success guarantee

Trivadis guarantees the success of your training. Having completed the course / seminar, do you have any questions about the practical aspects? Would you like to repeat any of the exercises in the lab environment?

Our success guarantee allows you to repeat individual days, or even the entire training course, free of charge for up to 6 months after attending a training course. You bring with you the course materials from the previous training course.