Amazon Web Services (AWS) Firebrand's training for Big Data on AWS

- Bare 4 dager

Learn how to use cloud-based big data solutions, like Amazon Elastic MapReduce (EMR), Amazon Redshift and Amazon Kinesis, with Firebrand’s accelerated training for Big Data on AWS.

On this 4-day course, you’ll identify common tools and technologies you can use to create big data solutions, as well as learning how to use the MapReduce and Hive programming framework.

Use best practices to build big data environments for effective security by working with Amazon DynamoDB, Amazon Redshift and Amazon Kinesis. On Firebrand’s accelerated course, you’ll also learn how to:

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  • Incorporate AWS solutions inside of a big data ecosystem
  • Use visualisation software to show data and queries
  • Control in-memory analytics with Spark and Spark SQL
  • Manage ingesting, transferring and compressing data
  • Process data using Hadoop tools like Hive and Hue

If you’re responsible for designing and implementing big data solutions, or a Data Scientist/Data Analyst who needs to learn more about big data on AWS, this course is ideal for you.

This accelerated course provides training and knowledge equivalent to AWS’s Big Data on AWS course.

Det vil ta deg bare et øyeblikk å se hvor billige våre kurs er...

Her er 8 grunner til hvorfor du skal gjennomføre ditt Big Data on AWS hos Firebrand Training:

  1. Du blir utdannet og sertifisert på bare 4 dager. Hos oss får du din utdanning og sertifisering på rekordtid, en sertifisering du også gjennomfører der og da som en integrert del av den intensive, akselererte utdanningen.
  2. Alt er inkludert. Et engangsbeløp dekker alt kursmaterial, eksamen, kost og losji og tilbyr den mest kostnadseffektive måten å gjennomføre ditt Big Data on AWS kurs og sertifisering på. Og dette uten noen uannonserte ytterligere kostnader.
  3. Du klarer sertifiseringen første gangen eller kan gå kurset om igjen kostnadsfritt. Det er vår garanti. Vi er sikre på at du vil klare din Big Data on AWS sertifisering første gangen. Men skulle du mot formodning ikke gjøre det kan du innen et år komme tilbake og kun betale for eventuelle overnattinger og din eksamen. Alt annet er gratis.
  4. Du lærer deg mer.Tradisjonelle utdanningsdager varer fra kl. 09.00 til 16.00 med lange lunsj- og kaffepauser. Hos Firebrand Training får du minst 12 timers effektiv og fokusert kvalitetsutdanning hver dag sammen med din instruktør, uten private eller arbeidsrelaterte, forstyrrende momenter.
  5. Du lærer deg Big Data on AWS raskere. Vi kombinerer de tre innlæringsmetodene (Presentasjon |Øving| Diskusjon) slik at vi gjennomfører kurset på en måte som sikrer at du lærer deg raskere og lettere.
  6. Du er i sikre hender.Vi har utdannet og sertifisert 72.589 personer, vi er partner med alle de store navn i bransjen og vi har vunnet atskillige utmerkelser, bla. a. "Årets Learning Partner 2010, 2011, 2012, 2013 og 2015” fra Microsoft Danmark og med en vekst på 1430 % siden 2009 er vi årets Gazelle prisvinner på Sjælland, Danmark.
  7. Du lærer deg ikke bare teorien. Vi har videreutviklet Big Data on AWS kursen og tilbyr flere praktiske øvelser og sikrer på den måten, at du kan bruke dine ferdigheter for å løse daglige praktiske problemstillinger.
  8. Du lærer av de beste. Våre instruktører på Big Data on AWS er de beste i bransjen og tilbyr en helt unik blanding av kunnskap, praktisk erfaring og pasjon for å lære bort.

Det vil ta deg bare et øyeblikk å se hvor billige våre kurs er...

  • Domain 1: Collection
    • 1.1 Determine the operational characteristics of the collection system
    • 1.2 Select a collection system that handles the frequency of data change and type of data being ingested
    • 1.3 Identify the properties that need to be enforced by the collection system: order, data structure, metadata, etc.
    • 1.4 Explain the durability and availability characteristics for the collection approach
  • Domain 2: Storage
    • 2.1 Determine and optimize the operational characteristics of the storage solution
    • 2.2 Determine data access and retrieval patterns
    • 2.3 Evaluate mechanisms for capture, update, and retrieval of catalog entries
    • 2.4 Determine appropriate data structure and storage format
  • Domain 3: Processing
    • 3.1 Identify the appropriate data processing technology for a given scenario
    • 3.2 Determine how to design and architect the data processing solution
    • 3.3 Determine the operational characteristics of the solution implemented
  • Domain 4: Analysis
    • 4.1 Determine the tools and techniques required for analysis
    • 4.2 Determine how to design and architect the analytical solution
    • 4.3 Determine and optimize the operational characteristics of the Analysis
  • Domain 5: Virtualisation
    • 5.1 Determine the appropriate techniques for delivering the results/output
    • 5.2 Determine how to design and create the Virtualisation platform
    • 5.3 Determine and optimize the operational characteristics of the Virtualisation system
  • Domain 6: Data Security
    • 6.1 Determine encryption requirements and/or implementation technologies
    • 6.2 Choose the appropriate technology to enforce data governance
    • 6.3 Identify how to ensure data integrity
    • 6.4 Evaluate regulatory requirements

You'll sit the following exam at the Firebrand Training centre, covered by your Certification Guarantee:

  • AWS Certified Big Data - Specialty
    • Number: BDS-C00
    • Format: Multiple choice and multiple response
    • Duration: 170 minutes
    • Domains
      • Domain 1: Collection (17%)
      • Domain 2: Storage (17%)
      • Domain 3: Processing (17%)
      • Domain 4: Analysis (17%)
      • Domain 5: Visualisation (12%)
      • Domain 6: Data Security (20%)

To achieve your AWS certification, you should have a minimum of two years' experience using AWS technology and be able to:

  • Independently define AWS architecture and services and understand how they integrate with each other
  • Define and architect AWS big data services and explain how they fit in the data lifecycle of collection, ingestion, storage, processing, and visualisation

You should also possess at least five years' experience in a data analytics field and understand:

  • How to control access to secure data
  • The frameworks that underpin large scale distributed systems like Hadoop/Spark and MPP data warehouses
  • The tools and design platforms that allow processing of data from multiple heterogeneous sources with difference frequencies (batch/real-time)
  • How to design a scalable and cost-effective architecture to process data

Amazon Web Services (AWS) Big Data on AWS Kursdatoer

Amazon Web Services (AWS) - Firebrand's training for Big Data on AWS

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9/3/2020 (Mandag)

12/3/2020 (Torsdag)

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Vi har lært opp 72.589 personer på 12 år. Vi ba dem om å anmelde vår akselererte opplæring. Akkurat nå har 96,77% angitt at Firebrand overgikk forventningene:

"The instructor provided us with a great training experience on a site with excellent facilities. A truly great company to train with."
Nick Sharp, Corneliue Group PLC. (2/12/2019 til 5/12/2019)

"I attended the AWS SA Associate course and it has been one of the best training courses I''ve attended. The course was well organised and delivered. There was a good balance of knowledge transfer and practical exercises to reinforce the learning. Our trainer was very knowledgeable in the subject matter and catered for differing levels of experience/expertise in our class group."
Nick Pearman, SopraSteria. (30/9/2019 til 2/10/2019)

"Very focused and intense training, although course content covered well. "
Peter Allen, Sopra Steria. (25/11/2019 til 28/11/2019)

"This course is very fast paced, but exceptionally well prepared and delivered. The only distractions are the ones you make for yourself like work phone/email. Turn them off and enjoy the training!"
D.Z., Sopra Steria. (25/11/2019 til 28/11/2019)

"Hard work and a lot to cover but expertly delivered in interactive style with demos and labs.Not just slide ware!"
Keith Halcrow, Sopra Steria. (25/11/2019 til 28/11/2019)

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