Data Warehousing on AWS [GK4375]
Startdata en plaatsen
computer Online: VIRTUAL TRAINING CENTER 8 mei. 2024 tot 10 mei. 2024Toon rooster event 8 mei 2024, 10:00-18:00, VIRTUAL TRAINING CENTER, NL225430.1 event 9 mei 2024, 10:00-18:00, VIRTUAL TRAINING CENTER, NL225430.2 event 10 mei 2024, 10:00-18:00, VIRTUAL TRAINING CENTER, NL225430.3 |
computer Online: VIRTUAL TRAINING CENTER 15 jul. 2024 tot 17 jul. 2024Toon rooster event 15 juli 2024, 10:00-18:00, VIRTUAL TRAINING CENTER, NL228206.1 event 16 juli 2024, 10:00-18:00, VIRTUAL TRAINING CENTER, NL228206.2 event 17 juli 2024, 10:00-18:00, VIRTUAL TRAINING CENTER, NL228206.3 |
computer Online: VIRTUAL TRAINING CENTER 11 nov. 2024 tot 13 nov. 2024Toon rooster event 11 november 2024, 10:00-18:00, VIRTUAL TRAINING CENTER, NL228207.1 event 12 november 2024, 10:00-18:00, VIRTUAL TRAINING CENTER, NL228207.2 event 13 november 2024, 10:00-18:00, VIRTUAL TRAINING CENTER, NL228207.3 |
computer Online: VIRTUAL TRAINING CENTER 8 jan. 2025 tot 10 jan. 2025Toon rooster event 8 januari 2025, 10:00-18:00, VIRTUAL TRAINING CENTER, NL231777.1 event 9 januari 2025, 10:00-18:00, VIRTUAL TRAINING CENTER, NL231777.2 event 10 januari 2025, 10:00-18:00, VIRTUAL TRAINING CENTER, NL231777.3 |
Beschrijving
Ontdek de verschillende trainingsmogelijkheden bij Global Knowledge
Online of op locatie er is altijd een vorm die bij je past.
Kies op welke manier jij of je team graag een training wilt volgen. Global Knowledge bied je verschillende trainingsmogelijkheden. Je kunt kiezen uit o.a. klassikaal, Virtueel Klassikaal (online), e-Learning en maatwerk. Met onze Blended oplossing kun je de verschillende trainingsvormen combineren.
OVERVIEW
OBJECTIVES
This 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 ca…
Veelgestelde vragen
Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.
Ontdek de verschillende trainingsmogelijkheden bij Global Knowledge
Online of op locatie er is altijd een vorm die bij je past.
Kies op welke manier jij of je team graag een training wilt volgen. Global Knowledge bied je verschillende trainingsmogelijkheden. Je kunt kiezen uit o.a. klassikaal, Virtueel Klassikaal (online), e-Learning en maatwerk. Met onze Blended oplossing kun je de verschillende trainingsvormen combineren.
OVERVIEW
OBJECTIVES
This 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.
AUDIENCE
This course is intended for:
- Database architects
- Database administrators
- Database developers
- Data analysts and scientists
CONTENT
This 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
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