Cisco træning

Insoft Services er en af de få uddannelsesudbydere i EMEAR, der tilbyder hele spektret af Cisco-certificering og specialiseret teknologiuddannelse.

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Cisco-certificeringer

Oplev en blandet læringsmetode, der kombinerer det bedste fra instruktørstyret træning og e-læring i eget tempo for at hjælpe dig med at forberede dig til din certificeringseksamen.

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Cisco Learning Credits

Cisco Learning Credits (CLCs) er forudbetalte træningskuponer, der indløses direkte med Cisco, og som gør det nemmere at planlægge din succes, når du køber Cisco-produkter og -tjenester.

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Cisco Efteruddannelse

Cisco Continuing Education Program tilbyder alle aktive certificeringsindehavere fleksible muligheder for at gencertificere ved at gennemføre en række kvalificerede træningselementer.

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Cisco Digital Learning

Certificerede medarbejdere er VÆRDSATTE aktiver. Udforsk Ciscos officielle digitale læringsbibliotek for at uddanne dig selv gennem optagede sessioner.

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Cisco Business Enablement

Cisco Business Enablement Partner Program fokuserer på at skærpe Cisco Channel Partners og kunders forretningsmæssige færdigheder.

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Cisco kursuskatalog

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Fortinet-certificeringer

Fortinet Network Security Expert (NSE) -programmet er et otte-niveau uddannelses- og certificeringsprogram for at undervise ingeniører i deres netværkssikkerhed for Fortinet FW-færdigheder og erfaring.

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Fortinet træning

Insoft er anerkendt som Autoriseret Fortinet Training Center på udvalgte steder på tværs af EMEA.

Tekniske kurser

Fortinet kursuskatalog

Udforsk hele Fortinet-træningskataloget. Programmet omfatter en bred vifte af selvstændige og instruktørledede kurser.

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ATC-status

Tjek vores ATC-status på tværs af udvalgte lande i Europa.

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Fortinet Professionelle Services

Globalt anerkendte team af certificerede eksperter hjælper dig med at gøre en mere jævn overgang med vores foruddefinerede konsulent-, installations- og migreringspakker til en lang række Fortinet-produkter.

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Microsoft træning

Insoft Services tilbyder Microsoft-undervisning i EMEAR. Vi tilbyder Microsoft tekniske kurser og certificeringskurser, der ledes af instruktører i verdensklasse.

Tekniske kurser

Extreme træning

Find all the Extreme Networks online and instructor led class room based calendar here.

Tekniske kurser

Tekniske certificeringer

Vi leverer omfattende læseplan for tekniske kompetencefærdigheder på certificeringspræstationen.

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Extreme kursuskatalog

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ATP-akkreditering

Som autoriseret uddannelsespartner (ATP) sikrer Insoft Services, at du får de højeste uddannelsesstandarder, der findes.

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Løsninger og tjenester

Vi leverer innovativ og avanceret support til design, implementering og optimering af IT-løsninger. Vores kundebase omfatter nogle af de største Telcos globalt.

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Globalt anerkendte team af certificerede eksperter hjælper dig med at gøre en mere jævn overgang med vores foruddefinerede konsulent-, installations- og migreringspakker til en lang række Fortinet-produkter.

Om os

Insoft tilbyder autoriseret uddannelses- og konsulentbistand til udvalgte IP-leverandører. Få mere at vide om, hvordan vi revolutionerer branchen.

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  • +45 32 70 99 90
  • Data Engineering on Microsoft Azure (DP-203T00-A)

    Duration
    4 Dage
    Delivery
    (Online Og På stedet)
    Price
    Pris på forespørgsel

    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

    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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