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Implémenter une solution Data Analytics avec Azure Synapse Analytics

  • Référence M-DP3012
  • Durée 1 Jour

Modalité pédagogique

Classe inter à distance Prix

EUR795.00

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Modalité pédagogique

La formation est disponible dans les formats suivants:

  • Classe inter à distance

    Depuis n'importe quelle salle équipée d'une connexion internet, rejoignez la classe de formation délivrée en inter-entreprises.

  • Classe inter en présentiel

    Formation délivrée en inter-entreprises. Cette méthode d'apprentissage permet l'interactivité entre le formateur et les participants en classe.

  • Intra-entreprise

    Cette formation est délivrable en groupe privé, et adaptable selon les besoins de l’entreprise. Nous consulter.

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Résumé

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This is a single day Instructor Lead Course designed to give the learners instruction on the SQL dedicated and serverless Spark pools and providing instruction of data wrangling and the ELT process using Synapse Pipelines which is very similar to those familiar with Azure Data Factory (ADF) to move data into the Synapse dedicated pool database.

Virtual Learning

This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.

Prochaines dates

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    • Modalité: Classe inter à distance
    • Date: 03 février, 2026 | 9:30 AM to 5:30 PM
    • Centre: SITE DISTANT (W. Europe )
    • Langue: Français

    EUR795.00

    • Modalité: Classe inter à distance
    • Date: 03 mars, 2026 | 9:00 AM to 5:00 PM
    • Centre: SITE DISTANT (W. Europe )
    • Langue: Anglais

    EUR795.00

    • Modalité: Classe inter à distance
    • Date: 14 avril, 2026 | 10:30 AM to 6:00 PM
    • Centre: SITE DISTANT (W. Europe )
    • Langue: Anglais

    EUR795.00

    • Modalité: Classe inter à distance
    • Date: 02 juin, 2026 | 9:30 AM to 5:30 PM
    • Centre: SITE DISTANT (W. Europe )
    • Langue: Français

    EUR795.00

    • Modalité: Classe inter à distance
    • Date: 01 juillet, 2026 | 9:00 AM to 5:00 PM
    • Centre: SITE DISTANT (W. Europe )
    • Langue: Anglais

    EUR795.00

    • Modalité: Classe inter à distance
    • Date: 11 août, 2026 | 10:30 AM to 6:00 PM
    • Centre: SITE DISTANT (W. Europe )
    • Langue: Anglais

    EUR795.00

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The Audience should have familiarity with notebooks that use different languages and a Spark engine, such as Databricks, Jupyter Notebooks, Zeppelin notebooks and more. They should also have some experience with SQL, Python, and Azure tools, such as Data Factory.

Plus...

Programme détaillé

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MODULE 1: Introduction to Azure Synapse Analytics

  • Identify the business problems that Azure Synapse Analytics addresses.
  • Describe core capabilities of Azure Synapse Analytics.
  • Determine when to use Azure Synapse Analytics.

MODULE 2: Use Azure Synapse serverless SQL pool to query files in a data lake

  • Identify capabilities and use cases for serverless SQL pools in Azure Synapse Analytics
  • Query CSV, JSON, and Parquet files using a serverless SQL pool
  • Create external database objects in a serverless SQL pool

MODULE 3: Analyze data with Apache Spark in Azure Synapse Analytics

  • Identify core features and capabilities of Apache Spark.
  • Configure a Spark pool in Azure Synapse Analytics.
  • Run code to load, analyze, and visualize data in a Spark notebook.

MODULE 4: Use Delta Lake in Azure Synapse Analytics

  • Describe core features and capabilities of Delta Lake.
  • Create and use Delta Lake tables in a Synapse Analytics Spark pool.
  • Create Spark catalog tables for Delta Lake data.
  • Use Delta Lake tables for streaming data.
  • Query Delta Lake tables from a Synapse Analytics SQL pool.

MODULE 5: Analyze data in a relational data warehouse

  • Design a schema for a relational data warehouse.
  • Create fact, dimension, and staging tables.
  • Use SQL to load data into data warehouse tables.
  • Use SQL to query relational data warehouse tables.

MODULE 6: Build a data pipeline in Azure Synapse Analytics

  • Describe core concepts for Azure Synapse Analytics pipelines.
  • Create a pipeline in Azure Synapse Studio.
  • Implement a data flow activity in a pipeline.
  • Initiate and monitor pipeline runs.
Plus...