insoft

Cisco-opplæring

Insoft Services er en av få opplæringsleverandører i EMEAR som tilbyr hele spekteret av Cisco-sertifisering og spesialisert teknologiopplæring.

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Cisco Sertifisering

Opplev en blandet læringstilnærming som kombinerer det beste av instruktørledet opplæring og e-læring i eget tempo for å hjelpe deg med å forberede deg til sertifiseringseksamen.

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Cisco Learning Credits

Cisco Learning Credits (CLC) er forhåndsbetalte opplæringskuponger innløst direkte med Cisco som gjør planleggingen for suksessen din enklere når du kjøper Cisco-produkter og -tjenester.

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Etterutdanning

Cisco Continuing Education Program tilbyr alle aktive sertifiseringsinnehavere fleksible alternativer for å resertifisere ved å fullføre en rekke kvalifiserte opplæringselementer.

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Cisco Digital Learning

Sertifiserte ansatte er verdsatte eiendeler. Utforsk Ciscos offisielle digitale læringsbibliotek for å utdanne deg gjennom innspilte økter.

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Cisco Business Enablement

Cisco Business Enablement Partner Program fokuserer på å skjerpe forretningsferdighetene til Cisco Channel Partners og kunder.

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Cisco opplæringskatalog

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Fortinet Sertifisering

Fortinet Network Security Expert (NSE)-programmet er et opplærings- og sertifiseringsprogram på åtte nivåer for å lære ingeniører om nettverkssikkerheten for Fortinet FW-ferdigheter og -erfaring.

Tekniske kurs

Fortinet-opplæring

Insoft er anerkjent som Fortinet Autorisert Opplæringssenter på utvalgte steder i EMEA.

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Fortinet opplæringskatalog

Utforsk et bredt utvalg av Fortinet Schedule på tvers av forskjellige land så vel som online kurs.

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ATC-status

Sjekk atc-statusen vår på tvers av utvalgte land i Europa.

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Pakker for Fortinet-tjenester

Insoft Services har utviklet en spesifikk løsning for å effektivisere og forenkle prosessen med å installere eller migrere til Fortinet-produkter.

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Microsoft-opplæring

Insoft Services gir Microsoft opplæring i EMEAR. Vi tilbyr Microsofts tekniske opplærings- og sertifiseringskurs som ledes av instruktører i verdensklasse.

Tekniske kurs

Extreme-opplæring

Lær eksepsjonell kunnskap og ferdigheter i ekstreme nettverk.

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Teknisk sertifisering

Vi tilbyr omfattende læreplan over tekniske kompetanseferdigheter om sertifiseringsprestasjonen.

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Extreme opplæringskatalog

Tekniske kurs

ATP-akkreditering

Som autorisert opplæringspartner (ATP) sørger Insoft Services for at du får de høyeste utdanningsstandardene som er tilgjengelige.

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Løsninger og tjenester

Vi tilbyr innovativ og avansert støtte for design, implementering og optimalisering av IT-løsninger. Vår kundebase inkluderer noen av de største Telcos globalt.

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Globalt anerkjent team av sertifiserte eksperter hjelper deg med å gjøre en jevnere overgang med våre forhåndsdefinerte konsulent-, installasjons- og migrasjonspakker for et bredt spekter av Fortinet-produkter.

Om oss

Insoft Tilbyr autoriserte opplærings- og konsulenttjenester for utvalgte IP-leverandører. Finn ut hvordan vi revolusjonerer bransjen.

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    • Data Engineering on Microsoft Azure (DP-203T00-A)

    Enroll Now
    Duration
    4 Dager
    Delivery
    (Online Og På stedet)
    Price
    Pris på forespørsel

    In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.

     

    Associated Certification:

    • Microsoft Certified: Azure Data Engineer Associate
    • Introduction to data engineering on Azure
    • Introduction to Azure Data Lake Storage Gen2
    • Introduction to Azure Synapse Analytics
    • Use Azure Synapse serverless SQL pool to query files in a data lake
    • Use Azure Synapse serverless SQL pools to transform data in a data lake
    • Create a lake database in Azure Synapse Analytics
    • Analyze data with Apache Spark in Azure Synapse Analytics
    • Transform data with Spark in Azure Synapse Analytics
    • Use Delta Lake in Azure Synapse Analytics
    • Analyze data in a relational data warehouse
    • Load data into a relational data warehouse
    • Build a data pipeline in Azure Synapse Analytics
    • Use Spark Notebooks in an Azure Synapse Pipeline
    • Plan hybrid transactional and analytical processing using Azure Synapse Analytics
    • Implement Azure Synapse Link with Azure Cosmos DB
    • Implement Azure Synapse Link for SQL
    • Get started with Azure Stream Analytics
    • Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics
    • Visualize real-time data with Azure Stream Analytics and Power BI
    • Introduction to Microsoft Purview
    • Integrate Microsoft Purview and Azure Synapse Analytics
    • Explore Azure Databricks
    • Use Apache Spark in Azure Databricks
    • Run Azure Databricks Notebooks with Azure Data Factory

    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 includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure.

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

     

    Specifically completing:

    • AZ-900 - Azure Fundamentals
    • DP-900 - Microsoft Azure Data Fundamentals
    Overview

    In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.

     

    Associated Certification:

    • Microsoft Certified: Azure Data Engineer Associate
    • Introduction to data engineering on Azure
    • Introduction to Azure Data Lake Storage Gen2
    • Introduction to Azure Synapse Analytics
    • Use Azure Synapse serverless SQL pool to query files in a data lake
    • Use Azure Synapse serverless SQL pools to transform data in a data lake
    • Create a lake database in Azure Synapse Analytics
    • Analyze data with Apache Spark in Azure Synapse Analytics
    • Transform data with Spark in Azure Synapse Analytics
    • Use Delta Lake in Azure Synapse Analytics
    • Analyze data in a relational data warehouse
    • Load data into a relational data warehouse
    • Build a data pipeline in Azure Synapse Analytics
    • Use Spark Notebooks in an Azure Synapse Pipeline
    • Plan hybrid transactional and analytical processing using Azure Synapse Analytics
    • Implement Azure Synapse Link with Azure Cosmos DB
    • Implement Azure Synapse Link for SQL
    • Get started with Azure Stream Analytics
    • Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics
    • Visualize real-time data with Azure Stream Analytics and Power BI
    • Introduction to Microsoft Purview
    • Integrate Microsoft Purview and Azure Synapse Analytics
    • Explore Azure Databricks
    • Use Apache Spark in Azure Databricks
    • Run Azure Databricks Notebooks with Azure Data Factory

    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 includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure.

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

     

    Specifically completing:

    • AZ-900 - Azure Fundamentals
    • DP-900 - Microsoft Azure Data Fundamentals
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