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Data Warehousing on AWS Training
Level: Intermediate
This Data Warehousing on AWS course introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in Amazon Web Services (AWS). This AWS Data Warehousing course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3. Additionally, this course demonstrates how to use business intelligence tools to perform analysis on your data.
Key Features of this Training
- Official AWS training curriculum
- Attend in-class or online
You Will Learn 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
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LIVE, INSTRUCTOR-LED
In Class & Live, Online Training
- 3-day instructor-led training course
- Tuition can be paid later by invoice -OR- at the time of checkout by credit card
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In Class & Live, Online Training
Time Zone Legend:
Note: This course runs for 3 Days
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May 4 - 6 9:00 AM - 5:00 PM EDT Online (iMVP)
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Jun 8 - 10 9:00 AM - 5:00 PM EDT Online (iMVP)
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Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time — will run. Guaranteed.Important AWS Data Warehousing Course Information
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Requirements
- Courses taken: AWS Technical Essentials (or equivalent experience with AWS)
- Familiarity with relational databases and database design concepts
AWS Data Warehousing Course Outline
Day 1
- Introduction to Data Warehousing
- Introduction to Amazon Redshift
- Launching Clusters
Day 2
- Designing the Database Schema
- Identifying Data Sources
- Loading Data
Day 3
- Writing Queries and Tuning Performance
- Amazon Redshift Spectrum
- Maintaining Clusters
- Analyzing and Visualizing Data
Team Training
AWS Data Warehousing Training FAQs
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What course will give me the prequesites for this AWS Data Warehousing course.
You must take AWS Technical Essentials (or equivalent experience with AWS)
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Can I learn AWS Data Warehousing online?
Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want. This course is available in class and live online.
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