Amazon Web Services (AWS) - Certified Data Analytics Specialty | DAS-C01 certification

Varighed

Varighed:

Kun 4 dage

Metode

Metode:

Klasseværelse / Online / Hybrid

Næste dato

Næste dato:

24/6/2024 (Mandag)

Overview

On this accelerated AWS Certified Data Analytics – Specialty course, you’ll learn how to use AWS to design, build, secure and maintain analytics solutions. You’ll get access to data which will provide you with the best suggestions on how to promote scalability into your business.

In just 4 days, you’ll build knowledge on how to effectively utilise AWS data analytics and how it fits in the data lifecycle of collection, storage, processing and visualisation. You’ll also learn how to:

  • Define AWS data analytics services and understand how they integrate with each other
  • Leverage tools to automate Data Analysis

At the end of your course, you’ll sit exam DAS-C01, and get your AWS Certified Data Analytics – Specialty certification. You’ll learn at twice the speed, get access to courseware and learn from certified instructors through Firebrand’s Lecture | Lab | Review methodology.


Audience


If you are in a data analytics-focused role, this course is ideal for you.


AWS Certified Big Data - Specialty


AWS Certified Data Analytics – Specialty certification is an updated version of AWS Certified Big Data - Specialty certification.

With Data Analytics and Big Data representing increasingly changing fields, the term ‘Data Analytics’ relates more closely to what Amazon Web Services (AWS) offers.

Curriculum

Building Data Lakes on AWS

  • Module 1: Introduction to data lakes
  • Module 2: Data ingestion, cataloguing, and preparation
  • Module 3: Data processing and analytics
  • Module 4: Building a data lake with AWS Lake Formation
  • Module 5: AWS Lake Formation additional configurations

Building Data Analytics Solutions Using Amazon Redshift:

  • Module 1: Using Amazon Redshift in the data analytics pipeline
  • Module 2: Introduction to Amazon Redshift
  • Module 3: Ingestion and storage
  • Module 4: Processing and optimizing data
  • Module 5: Security and monitoring of Amazon Redshift clusters
  • Module 6: Designing data warehouse analytics solutions

Building Batch Data Analytics Solutions on AWS

  • Module 1: Introduction to Amazon EMR
  • Module 2: Data Analytics Pipeline using Amazon EMR: Ingestion and Storage
  • Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR
  • Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive
  • Module 5: Serverless Data Processing
  • Module 6: Security and Monitoring of Amazon EMR clusters
  • Module 7: Designing Batch Analytics Solutions

Building Streaming Data Analytics Solutions on AWS:

  • Module 1: Using Streaming Services in the Data Analytics Pipeline
  • Module 2: Introduction to AWS Streaming Services
  • Module 3: Using Amazon Kinesis for Real-time Data Analytics
  • Module 4: Securing, Monitoring, and Optimizing Amazon Kinesis
  • Module 5: Using Amazon MSK in Streaming Data Analytics Solutions
  • Module 6: Securing, Monitoring, and Optimizing Amazon MSK
  • Module 7: Designing Streaming Data Analytics Solutions

Exam Track

As part of your accelerated course, you’ll sit the following exam at the Firebrand Training covered by your Certification Guarantee:

AWS Certified Data Analytics – Specialty exam

  • Exam code: DAS-C01
  • Format: Multiple-choice and multiple-response
  • Passing score: 750 (scale of 100-1000)
  • Duration: 180 minutes
  • Languages: English, Japanese, Korean and simplified Chinese
  • Domains:
    1. Collection (18%)
    2. Storage and Data Management (22%)
    3. Processing (24%)
    4. Analysis and Visualisation (18%)
    5. Security (18%)

What's Included

Det hele er inkluderet! Du får en alt-inklusiv kursuspakke, som er målrettet til dine behov. Vi tager os af enhver detalje, så det eneste du skal fokusere på er dine lærings- og certificeringsmål.

  • Transport til/fra specifikke afhentningssteder
  • Overnatninger, samtlige måltider samt adgang til forfriskninger, snacks, kaffe og the.
  • Intensiv Hands-on uddannelse med vores unikke (Lecture | Lab | Review)TM metode
  • Omfattende kursusmaterialer og labmanualer
  • Et helt igennem instruktørstyret program
  • 24 timers adgang til både undervisningslokale og instruktøren
  • Samtlige måltider samt adgang til forfriskninger, snacks, kaffe og the.
  • Certificeringsgaranti

Prerequisites

Before attending this accelerated course, it’s recommended you possess the following:

  • Minimum of 2 years' experience with AWS
  • Minimum of 5 years’ experience with common data analytics technologies
  • Experience and expertise working with AWS services to design, build, secure and maintain analytics solutions

Whilst not a formal prerequisite, due to the topics and content covered we strongly recommend that you take the AWS Certified Solutions Architect Associate and Professional course prior to this one.

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"I recently had the incredible opportunity to participate in Certified Data Analytics tarining at Firebrand, and I can confidently say it was a transformative experience. I am immensely grateful for the instructor's guidance and support throughout my training at Firebrand. He played an instrumental role in my success and helped me acquire the skills and knowledge I needed to excel in my chosen field."
Anonym (4/7/2023 (Tirsdag) til 7/7/2023 (Fredag))

"The Tutor is excellent."
Anonym (4/7/2023 (Tirsdag) til 7/7/2023 (Fredag))

"I recently had the incredible opportunity to participate in Certified Data Analytics tarining at Firebrand, and I can confidently say it was a transformative experience. I am immensely grateful for the instructor's guidance and support throughout my training at Firebrand. He played an instrumental role in my success and helped me acquire the skills and knowledge I needed to excel in my chosen field."
Anonym (4/7/2023 (Tirsdag) til 7/7/2023 (Fredag))

"The Tutor is excellent."
Anonym (4/7/2023 (Tirsdag) til 7/7/2023 (Fredag))

"Very impressed with the dedication from the instructor and how well structured the sessions are. The course is very intense since it's only 3 days long, however, the quality of the training makes it worthwhile. I'd recommend going in person since you will find it much easier to focus and likely get more out of the course overall."
Simon Brown, Softcat. (8/9/2023 (Fredag) til 10/9/2023 (Søndag))

Kursusdatoer

Starter

Slutter

Tilgængelighed

Sted

Tilmelding

19/2/2024 (Mandag)

22/2/2024 (Torsdag)

Afsluttet - Giv feedback

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24/6/2024 (Mandag)

27/6/2024 (Torsdag)

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5/8/2024 (Mandag)

8/8/2024 (Torsdag)

Begrænsede pladser

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16/9/2024 (Mandag)

19/9/2024 (Torsdag)

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28/10/2024 (Mandag)

31/10/2024 (Torsdag)

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9/12/2024 (Mandag)

12/12/2024 (Torsdag)

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