Data Warehousing on AWS
- Kursuskode GK4375
- Varighed 3 dage
Leveringsmetoder
Leveringsmetoder
Kurset er tilgængeligt i følgende formater:
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Firma kursus
Et lukket firma kursus
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Åbent kursus
Traditionel klasserumsundervisning
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Åbent kursus (Virtuelt)
Live klasserumsundervisning du tilgår virtuelt
Anmod om dette kursus Med en anden leveringsløsning
Beskrivelse
ToppenThis course will be delivered through a mix of Instructor-led Training (ILT) and hands-on Labs. This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.
Kursusdato
Toppen-
- Leveringsmetode: Åbent kursus (Virtuelt)
- Dato: 11-13 november, 2024
- Kursussted: Virtual
- Sprog: engelsk
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- Leveringsmetode: Åbent kursus (Virtuelt)
- Dato: 08-10 januar, 2025
- Kursussted: Virtual
- Sprog: engelsk
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- Leveringsmetode: Åbent kursus (Virtuelt)
- Dato: 10-12 marts, 2025
- Kursussted: Virtual
- Sprog: engelsk
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- Leveringsmetode: Åbent kursus (Virtuelt)
- Dato: 12-14 maj, 2025
- Kursussted: Virtual
- Sprog: engelsk
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- Leveringsmetode: Åbent kursus (Virtuelt)
- Dato: 14-16 juli, 2025
- Kursussted: Virtual
- Sprog: engelsk
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- Leveringsmetode: Åbent kursus (Virtuelt)
- Dato: 15-17 september, 2025
- Kursussted: Virtual
- Sprog: engelsk
Målgruppe
ToppenThis course is intended for:
- Database architects
- Database administrators
- Database developers
- Data analysts and scientists
Kursets formål
ToppenThis course teaches you how to:
- Discuss the core concepts of data warehousing.
- Evaluate the relationship between Amazon Redshift and other big data systems.
- Evaluate use cases for data warehousing workloads and review case studies that demonstrate implementation of AWS data and analytic services as part of a data warehousing solution.
- Choose an appropriate Amazon Redshift node type and size for your data needs.
- Discuss security features as they pertain to Amazon Redshift, such as encryption, IAM permissions, and database permissions.
- Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud.
- Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3, to contribute to the data warehousing solution.
- Evaluate approaches and methodologies for designing data warehouses.
- Identify data sources and assess requirements that affect the data warehouse design.
- Design the data warehouse to make effective use of compression, data distribution, and sort methods.
- Load and unload data and perform data maintenance tasks.
- Write queries and evaluate query plans to optimize query performance.
- Configure the database to allocate resources such as memory to query queues and define criteria to route certain types of queries to your configured query queues for improved processing.
- Use features and services, such as Amazon Redshift database audit logging, Amazon CloudTrail, Amazon CloudWatch, and Amazon Simple Notification Service (Amazon SNS), to audit, monitor, and receive event notifications about activities in the data warehouse.
- Prepare for operational tasks, such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters.
- Use a business intelligence (BI) application to perform data analysis and visualization tasks against your data.
Kursusindhold
ToppenThis course covers the following concepts:
Day 1
- Course Introduction
- Introduction to Data Warehousing
- Introduction to Amazon Redshift
- Understanding Amazon Redshift Components and Resources
- Launching an Amazon Redshift Cluster
Day 2
- Reviewing Data Warehousing Approaches
- Identifying Data Sources and Requirements
- Designing the Data Warehouse
- Loading Data into the Data Warehouse
Day 3
- Writing Queries and Tuning Performance
- Maintaining the Data Warehouse
- Analyzing and Visualizing Data
- Course Summary
Forudsætninger
ToppenWe recommend that attendees of this course have the following prerequisites:
- Courses taken: AWS Technical Essentials (or equivalent experience with AWS)
- Familiarity with relational databases and database design concepts
- #000000
- GK4375
- Data Warehousing on AWS
- Cloud Computing
- GK4375 | Data Warehousing on AWS | Training Course | Amazon Web Services.
- Amazon Web Services