Price:
$2,025.00
Days:
1
Virtual
– • Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions
– • 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, and Amazon S3, to contribute to the data warehousing solution
– • Architect the data warehouse
– • Identify performance issues, optimize queries, and tune the database for better performance
– • Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket
– • Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse
• Familiarity with relational databases
• Understanding of database design concepts
• Loading data
• Loading data
• Loading data
• Loading data
• Writing queries and tuning for performance
• Writing queries and tuning for performance
• Writing queries and tuning for performance
• Writing queries and tuning for performance
• Amazon Redshift Spectrum
• Amazon Redshift Spectrum
• Amazon Redshift Spectrum
• Amazon Redshift Spectrum
• Maintaining clusters
• Maintaining clusters
• Maintaining clusters
• Maintaining clusters
• Analyzing and visualizing data
• Analyzing and visualizing data
• Analyzing and visualizing data
• Analyzing and visualizing data
• Introduction to Data Warehousing
• Introduction to Data Warehousing
• Introduction to Data Warehousing
• Introduction to Data Warehousing
• Introduction to Amazon Redshift
• Introduction to Amazon Redshift
• Introduction to Amazon Redshift
• Introduction to Amazon Redshift
• Launching clusters
• Launching clusters
• Launching clusters
• Launching clusters
• Designing the database schema
• Designing the database schema
• Designing the database schema
• Designing the database schema
• Identifying data sources
• Identifying data sources
• Identifying data sources
• Identifying data sources
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