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:
Læs mere...
- 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.
Se Benefits...
Det tager kun et øjeblik at se hvor billigt dit kursus er...
Her er 4 gode grunde til at du skal tage Big Data on AWS hos Firebrand:
- Du bliver Big Data on AWS uddannet og certificeret hurtigere. Du lærer mere på vores 6 dages accelererede kursus og får mindst 12 timers daglig uddannelse i et distraktionsfrit miljø.
- Dit Big Data on AWS kursus er alt-inklusiv. Du får en gennemskuelig pris, der dækker alle kursusmaterialer, eksamen, overnatning og forplejning. Du skal ikke tænke på andet end at lære.
- Bestå Big Data on AWS den første gang eller kom tilbage, gratis. Din instruktør er ekspert, og træner dig ud fra accelererede metoder, så du lærer hurtigere og har de bedste muligheder for at bestå eksamen første gang. Men hvis du mod forventning ikke består, er du dækket af vores Certificeringsgaranti.
- Tag Big Data on AWS hos en prisvindende uddannelsesleverandør. Vi har vundet adskillige udmærkelser heriblandt Microsofts "Årets Learning Partner" hele fem gange og to Børsen Gazelle priser. Firebrand er din hurtigste vej til uddannelse, og vi har sparet 70,000 deltagere for mere end en million spildte timer siden 2001.
Er du klar til kurset? Tag en GRATIS test som hjælper dig med at bedømme din nuværende viden.
- 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
Se Exam Track...
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%)
Se 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
Se Prerequisites...
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
Er du klar til dit Firebrand Kursus?
Vi interviewer alle potentielle deltagere angående deres baggrund, uddannelser, certificeringer og personlig indstilling. Hvis du kommer igennem denne screeningsprocedure, betyder det, at du har rigtig gode chancer for at bestå.
Firebrand Training tilbyder et ambitiøst uddannelsesmiljø, som forudsætter at du dedikerer dig til kurset. Ovenstående forkundskaber er vejledende; mange deltagere med mindre erfaring, men med en anden baggrund eller færdigheder, har haft succes med accelereret uddannelse hos Firebrand Training.
Hvis du funderer på hvorvidt du opfylder de anbefalede forkundskaber, er du meget velkommen til at ringe til os på 78 79 16 53 og tale med en af vores uddannelsesrådgivere, som kan hjælpe dig.
Se Hvornår...
Amazon Web Services (AWS) Big Data on AWS Kursusdatoer
Amazon Web Services (AWS) - Firebrand's training for Big Data on AWS
Starter |
Slutter |
Tilgængelighed |
Tilmelding |
|
9/3/2020 (Mandag)
|
12/3/2020 (Torsdag)
|
Tilgængelige pladser |
Tilmelding
|
Vi har uddannet over 74.717 personer i løbet af 12 år. Vi har bedt dem alle om at bedømme vores accelererede kurser. Aktuelt har 96,78% sagt, at Firebrand oversteg deres forventninger:
"It has been a great pleasure! Thank you and keep it up! "
Boris Grantcharov, PA Consulting. (6/12/2019 til 8/12/2019)
"Firebrand is an excellent way to acquire accelerated learning. Friendly and knowledgeable tutors and staff. I thoroughly enjoyed my time here and would recommend it to anyone looking for an effective way to training and certification."
Boris Grantcharov, PA Consulting. (6/12/2019 til 8/12/2019)
"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)
Seneste anmeldelser fra vores studerende
