Data Warehousing on AWS Training

Data Warehousing on AWS Training contains in-depth knowledge regarding strategies. Concepts, and leading practices required to design a cloud-based data warehousing solution with the help of Amazon Redshift. It will teach how to store, collect, and prepare data for the data warehouse by utilizing other AWS services such as Amazon Kinesis Firehose, Amazon EMR, and Amazon Simple Storage. You will also discover how to utilize business intelligence tools to execute the analysis of data.

In this course, you will gain advanced knowledge to assess the connection between Amazon Redshift and various Big Data systems. It will help you develop a better understanding of which security features are suitable for Amazon Redshift, such as IAM permissions, encryption, and database permissions. After completing this program, you will be able to deploy an Amazon Redshift cluster and utilize the elements, functionality, and features to execute a data warehouse in the cloud.

• In-depth concepts of data warehousing.
• Evaluating relationships between big data and Amazon Redshift.
• Using cases for case studies and data warehousing workloads.
• Select exact Amazon Redshift type for your data needs.
• Discussing security features likewise Amazon Redshift, IAM permissions and database permissions.
• Launching Amazon Redshift Cluster and utilizing components, functionalities to implement data warehouse.
• Using other analytic services and AWS data such as Amazon S3, Amazon DynamoDB, Amazon Kinesis Firehose, Amazon EMR and contribution to the data warehousing solution
• Methodologies and Approaches for designing data warehouses.
• Assess requirements and Data sources which affect the data warehouse designing’s.
• Designing the data warehouse to build efficient utilization of data distribution, compression and other sort methods.
• Unload and Load data to execute data continuation taskings.
• Write evaluate query plans and queries to optimize query performances.
• Configuring the database to other allocating resources likewise criteria to route several types queries and defining to your configured query queues for better production.
• Utilizing services and features likewise Amazon Simple Notification Service (Amazon SNS), Amazon Redshift database audit logging, Amazon CloudTrail and Amazon CloudWatch.
• Preparing for operational tasks, such as restoring clusters and resizing Amazon Redshift clusters for back up.
• Utilizing a business intelligence (BI) application to execute visualization tasks and data analysis for your data.

The primary audience for this training are Data Scientists, Data Analysts, Database administrators and Database architects can join this Data Warehouse on AWS Training.

• 1. Day 1
• Course Introduction
• Introduction to Data Warehousing
• Introduction to Amazon Redshift
• Understanding Amazon Redshift Components and Resources
• Launching an Amazon Redshift Cluster
View Less    View More   
2. Day 2
Reviewing Data Warehousing Approaches
Identifying Data Sources and Requirements
Designing the Data Warehouse
Loading Data into the Data Warehouse
3. Day 3
Writing Queries and Tuning Performance
Maintaining the Data Warehouse
Analyzing and Visualizing Data
Course Summary