Om kurset

In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.

Dette lærer du

In this course, you will learn to:

• Compare the features and benefits of data warehouses, data lakes, and modern data architectures
• Design and implement a batch data analytics solution
• Identify and apply appropriate techniques, including compression, to optimize data storage
• Select and deploy appropriate options to ingest, transform, and store data
• Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
• Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
• Secure data at rest and in transit
• Monitor analytics workloads to identify and remediate problems
• Apply cost management best practices
•

Kursinnhold

Kurset dekker blant annet følgende temaer:

Module A: Overview of Data Analytics and the Data Pipeline
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 Data Analytics Solutions
Module B: Developing Modern Data Architectures on AWS

Forkunnskaper

Students with a minimum one-year experience managing open-source data frameworks such as Apache Spark or Apache Hadoop will benefit from this course.

Hvem passer kurset for?

This course is intended for:

• Data platform engineers
• Architects and operators who build and manage data analytics pipelines

Videre kurs

Not available. Please contact.

Kommende kurs

Kursdatoer

Viser 5 av 8

18.09.2026

Virtual

NOK 12.000

30.10.2026

NOK 12.000

27.11.2026

NOK 12.000

18.12.2026

NOK 12.000

18.01.2027

NOK 12.000

01.03.2027

NOK 12.000

18.05.2027

NOK 12.000

05.07.2027

NOK 12.000

SG Partner

Hvorfor velge SG Partner?

Vi gjør det enkelt å finne riktig kurs og riktig gjennomføring for deg og din virksomhet.

Offisielle kurs

Kursinnhold fra anerkjente teknologileverandører og fagmiljøer.

Erfarne instruktører

Praktisk og faglig undervisning med fokus på kompetanse du kan bruke.

Fleksibel gjennomføring

Velg mellom tilgjengelige virtuelle, fysiske og bedriftsinterne kurs.

Personlig rådgivning

Vi hjelper deg med å finne kurs og kompetanseløp som passer behovet ditt.

FAQ

Ofte stilte spørsmål

Hvor lenge varer kurset?

Kursets oppgitte varighet er 1.

Kan jeg ta en sertifisering?

Kurset kan være relevant som forberedelse til sertifisering. Se kursbeskrivelsen for informasjon om aktuell sertifisering og eksamen.

Hvilke forkunnskaper trenger jeg?

Students with a minimum one-year experience managing open-source data frameworks such as Apache Spark or Apache Hadoop will benefit from this course.

Hvem passer kurset for?

This course is intended for: • Data platform engineers • Architects and operators who build and manage data analytics pipelines

Kan kurset leveres som bedriftsinternt kurs?

Ja.

Kan kurset tas virtuelt?

Ja. Det finnes kommende kursdatoer med Virtual gjennomføring.

Hvor kan kurset leveres?

Kurset kan leveres over hele Norge, blant annet i Oslo, Kristiansand, Stavanger, Bergen, Trondheim og Tromsø.