Alidasoft – IT Consulting and Training Courses

Data Warehousing on AWS (Duration 3 Days)

£2,380.00

Category:

In this course, you will learn concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. We will demonstrate 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 Simple Storage Service (Amazon S3). We will also explore how to use business intelligence (BI) tools to perform analysis on your data.

Product Code:

DWAWS

Duration:

3 Days

Contents:

In this course, you will learn how to:
– Evaluate the relationship between Amazon Redshift and other Big Data systems.
– Evaluate use cases for data warehousing workloads and review real-world 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.
– Understand which security features are appropriate for 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.
– Audit, monitor, and receive event notifications about activities in the data warehouse by using features and services such as Amazon Redshift database audit logging, Amazon CloudTrail, Amazon CloudWatch, and Amazon Simple Notification Service (Amazon SNS).
– Prepare for operational tasks such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters.
– Use a 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.
– Data scientists.

Essentials:

We recommend that attendees of this course have the following prerequisites:
– AWS Technical Essentials (AWSE) or equivalent experience with AWS.
– Familiarity with relational databases and database design concepts.

Course Dates

Class IDStart DateEnd DateDurationTimezoneBook Now
190267215-01-202417-01-20243 DaysEurope/LondonBook Now
190267318-01-202418-01-20241 DaysEurope/LondonBook Now
190267419-01-202419-01-20241 DaysEurope/LondonBook Now
190273222-01-202424-01-20243 DaysEurope/LondonBook Now
190267605-02-202407-02-20243 DaysEurope/LondonBook Now
190272305-02-202407-02-20243 DaysEurope/LondonBook Now
190267708-02-202408-02-20241 DaysEurope/LondonBook Now
190268012-02-202414-02-20243 DaysEurope/LondonBook Now
190268319-02-202421-02-20243 DaysEurope/LondonBook Now
190268422-02-202422-02-20241 DaysEurope/LondonBook Now
190268523-02-202423-02-20241 DaysEurope/LondonBook Now
190268626-02-202428-02-20243 DaysEurope/LondonBook Now
190268901-03-202401-03-20241 DaysEurope/LondonBook Now
190269004-03-202406-03-20243 DaysEurope/LondonBook Now
190272704-03-202406-03-20243 DaysEurope/LondonBook Now
190269111-03-202413-03-20243 DaysEurope/LondonBook Now
190273318-03-202420-03-20243 DaysEurope/LondonBook Now
190269325-03-202427-03-20243 DaysEurope/LondonBook Now
190269428-03-202428-03-20241 DaysEurope/LondonBook Now
190269528-03-202428-03-20241 DaysEurope/LondonBook Now
190272402-04-202404-04-20243 DaysEurope/LondonBook Now
190269708-04-202410-04-20243 DaysEurope/LondonBook Now
190269815-04-202417-04-20243 DaysEurope/LondonBook Now
190270122-04-202424-04-20243 DaysEurope/LondonBook Now
190270225-04-202425-04-20241 DaysEurope/LondonBook Now
190270326-04-202426-04-20241 DaysEurope/LondonBook Now
190270429-04-202401-05-20243 DaysEurope/LondonBook Now
190270703-05-202403-05-20241 DaysEurope/LondonBook Now
190270807-05-202409-05-20243 DaysEurope/LondonBook Now
190271113-05-202415-05-20243 DaysEurope/LondonBook Now
190272820-05-202422-05-20243 DaysEurope/LondonBook Now
190273420-05-202422-05-20243 DaysEurope/LondonBook Now
190271228-05-202430-05-20243 DaysEurope/LondonBook Now
190271331-05-202431-05-20241 DaysEurope/LondonBook Now
190271431-05-202431-05-20241 DaysEurope/LondonBook Now
190271503-06-202405-06-20243 DaysEurope/LondonBook Now
190272503-06-202405-06-20243 DaysEurope/LondonBook Now
190271610-06-202412-06-20243 DaysEurope/LondonBook Now
190272024-06-202426-06-20243 DaysEurope/LondonBook Now