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Cisco-training

Insoft Services is een van de weinige aanbieders van opleidingen in EMEAR tot een volledige reeks van Cisco-certificering en gespecialiseerde technische opleiding aan te bieden.

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Cisco-certificering

Ervaar een blended learning-aanpak die het beste van door een instructeur geleide training en e-learning in eigen tempo combineert om u te helpen zich voor te bereiden op uw certificeringsexamen.

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Cisco Learning Credits

Cisco Learning Credits (CLCs) zijn prepaid trainingsvouchers die rechtstreeks bij Cisco worden ingewisseld en die het plannen van uw succes eenvoudiger maken bij de aankoop van Cisco-producten en -services.

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Cisco Continuing Education

Het Cisco Continuing Education Program biedt alle actieve certificeringshouders flexibele opties om opnieuw te certificeren door een verscheidenheid aan in aanmerking komende trainingsitems te voltooien.

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Cisco Digital Learning

Gecertificeerde medewerkers zijn GEWAARDEERDE activa. Verken de officiële Digital Learning Library van Cisco om uzelf te informeren via opgenomen sessies.

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Cisco Business Enablement

Het Cisco Business Enablement Partner Program richt zich op het aanscherpen van de zakelijke vaardigheden van Cisco Channel Partners en klanten.

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Cisco trainingscatalogus

Het Cisco Business Enablement Partner Program richt zich op het aanscherpen van de zakelijke vaardigheden van Cisco Channel Partners en klanten.

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Fortinet-certificering

Het Fortinet Network Security Expert (NSE) -programma is een training- en certificeringsprogramma op acht niveaus om ingenieurs van hun netwerkbeveiliging te leren voor Fortinet FW-vaardigheden en -ervaring.

Technische trainingen

Fortinet-training

Insoft is erkend als Fortinet Authorized Training Center op geselecteerde locaties in EMEA.

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Fortinet trainingscatalogus

Bekijk de volledige Fortinet trainingscatalogus. Het programma omvat een breed scala aan cursussen in eigen tempo en onder leiding van een instructeur.

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ATC Status

Bekijk onze ATC-status in geselecteerde landen in Europa.

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Fortinet Professionele Services

Wereldwijd erkend team van gecertificeerde experts helpt u een soepelere overgang te maken met onze vooraf gedefinieerde consultancy-, installatie- en migratiepakketten voor een breed scala aan Fortinet-producten.

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Microsoft-training

Insoft Services biedt Microsoft-trainingen in EMEAR. We bieden technische trainingen en certificeringscursussen van Microsoft aan die worden geleid door instructeurs van wereldklasse.

Technische cursussen

Extreme-training

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

Technische cursussen

Technische-certificering

We provide comprehensive curriculum of technical competency skills on the certification accomplishment.

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Extreme trainingscatalogus

Leer uitzonderlijke kennis en vaardigheden van Extreme Networks

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ATP accreditatie

Als geautoriseerde trainingspartner (ATP) zorgt Insoft Services ervoor dat u de hoogste onderwijsnormen krijgt die beschikbaar zijn.

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Services Oplossingen

Wij bieden innovatieve en geavanceerde ondersteuning bij het ontwerpen, implementeren en optimaliseren van IT-oplossingen.Ons klantenbestand omvat enkele van de grootste Telco's ter wereld.

Oplossingen

Wereldwijd erkend team van gecertificeerde experts helpt u een soepelere overgang te maken met onze vooraf gedefinieerde consultancy-, installatie- en migratiepakketten voor een breed scala aan Fortinet-producten.

Over ons

Insoft biedt geautoriseerde trainings- en consultancydiensten voor geselecteerde IP-leveranciers. Ontdek hoe we een revolutie teweegbrengen in de industrie.

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    Building Data Lakes on AWS

    Enroll Now
    Duration
    1 Dag
    Delivery
    (Online and onsite)
    Price
    Price Upon Request

    In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures.

     

    • Course level: Intermediate

    In this course, you will learn to:

    • Apply data lake methodologies in planning and designing a data
    • Articulate the components and services required for building an AWS data lake
    • Secure a data lake with appropriate permission
    • Ingest, store, and transform data in a data lake
    • Query, analyze, and visualize data within a data

    Module 1: Introduction to data lakes

    • Describe the value of data lakes
    • Compare data lakes and data warehouses
    • Describe the components of a data lake
    • Recognize common architectures built on data lakes

    Module 2: Data ingestion, cataloging, and preparation

    • Describe the relationship between data lake storage and data ingestion
    • Describe AWS Glue crawlers and how they are used to create a data catalog
    • Identify data formatting, partitioning, and compression for efficient storage and query
    • Lab 1: Set up a simple data lake

    Module 3: Data processing and analytics

    • Recognize how data processing applies to a data
    • Use AWS Glue to process data within a data lake
    • Describe how to use Amazon Athena to analyze data in a data lake

    Module 4: Building a data lake with AWS Lake Formation

    • Describe the features and benefits of AWS Lake
    • Use AWS Lake Formation to create a data lake
    • Understand the AWS Lake Formation security model
    • Lab 2: Build a data lake using AWS Lake Formation

    Module 5: Additional Lake Formation configurations

    • Automate AWS Lake Formation using blueprints and workflows
    • Apply security and access controls to AWS Lake Formation
    • Match records with AWS Lake Formation FindMatches
    • Visualize data with Amazon QuickSight
    • Lab 3: Automate data lake creation using AWS Lake Formation blueprints
    • Lab 4: Data visualization using Amazon QuickSight

    Module 6: Architecture and course review

    • Post course knowledge check
    • Architecture review
    • Course review

    This course is intended for:

    • Data platform engineers
    • Solutions architects
    • IT professionals

    We recommend that attendees of this course have:

    Overview

    In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures.

     

    • Course level: Intermediate

    In this course, you will learn to:

    • Apply data lake methodologies in planning and designing a data
    • Articulate the components and services required for building an AWS data lake
    • Secure a data lake with appropriate permission
    • Ingest, store, and transform data in a data lake
    • Query, analyze, and visualize data within a data

    Module 1: Introduction to data lakes

    • Describe the value of data lakes
    • Compare data lakes and data warehouses
    • Describe the components of a data lake
    • Recognize common architectures built on data lakes

    Module 2: Data ingestion, cataloging, and preparation

    • Describe the relationship between data lake storage and data ingestion
    • Describe AWS Glue crawlers and how they are used to create a data catalog
    • Identify data formatting, partitioning, and compression for efficient storage and query
    • Lab 1: Set up a simple data lake

    Module 3: Data processing and analytics

    • Recognize how data processing applies to a data
    • Use AWS Glue to process data within a data lake
    • Describe how to use Amazon Athena to analyze data in a data lake

    Module 4: Building a data lake with AWS Lake Formation

    • Describe the features and benefits of AWS Lake
    • Use AWS Lake Formation to create a data lake
    • Understand the AWS Lake Formation security model
    • Lab 2: Build a data lake using AWS Lake Formation

    Module 5: Additional Lake Formation configurations

    • Automate AWS Lake Formation using blueprints and workflows
    • Apply security and access controls to AWS Lake Formation
    • Match records with AWS Lake Formation FindMatches
    • Visualize data with Amazon QuickSight
    • Lab 3: Automate data lake creation using AWS Lake Formation blueprints
    • Lab 4: Data visualization using Amazon QuickSight

    Module 6: Architecture and course review

    • Post course knowledge check
    • Architecture review
    • Course review

    This course is intended for:

    • Data platform engineers
    • Solutions architects
    • IT professionals

    We recommend that attendees of this course have:

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