Data Warehousing on AWS
- Code training GK4375
- Duur 3 dagen
- Taal Engels
Andere trainingsmethoden
Extra betaalopties
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GTC’s 29 (incl. BTW)
Global Training Credits: neem contact met ons op voor meer informatie
Methode
Deze training is in de volgende formats beschikbaar:
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Class Connect
Verbind naar een klas in HD
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Klassikale training
Klassikaal leren
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Op locatie klant
Op locatie klant
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Virtueel leren
Virtueel leren
Vraag deze training aan in een andere lesvorm.
Trainingsbeschrijving
Naar bovenData
Naar boven-
- Methode: Virtueel leren
- Datum: 11-13 november, 2024
- Locatie: Virtueel-en-klassikaal
- Taal: Engels
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- Methode: Virtueel leren
- Datum: 08-10 januari, 2025
- Locatie: Virtueel-en-klassikaal
- Taal: Engels
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- Methode: Klassikale training
- Datum: 10-12 maart, 2025
- Locatie: Virtual Training Centre
- Taal: Engels
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- Methode: Virtueel leren
- Datum: 10-12 maart, 2025
- Locatie: Virtueel-en-klassikaal
- Taal: Engels
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- Methode: Virtueel leren
- Datum: 12-14 mei, 2025
- Locatie: Virtueel-en-klassikaal
- Taal: Engels
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- Methode: Virtueel leren
- Datum: 14-16 juli, 2025
- Locatie: Virtueel-en-klassikaal
- Taal: Engels
Doelgroep
Naar bovenThis course is intended for:
- Database architects
- Database administrators
- Database developers
- Data analysts and scientists
Trainingsdoelstellingen
Naar bovenThis 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.
Inhoud training
Naar bovenThis 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
Voorkennis
Naar bovenWe 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