Data Warehousing on AWS

Course information
Prix: EUR 2 190,00 (hors TVA)
Durée: 3
Code du stage: GK4375
GTC: 29 TTC
Modalité: Inter en présentiel

Résumé

Data Warehousing on AWS 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 AWS. This 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.

Pré-requis

Courses taken : AWS Technical Essentials (or equivalent experience with AWS)

Familiarity with relational databases and database design concepts

Contenu

Introduction to Data Warehousing

Introduction to Amazon Redshift

Understanding Amazon Redshift Components and Resources

Launching an Amazon Redshift Cluster

Reviewing Data Warehousing Approaches

Identifying Data Sources and Requirements

Designing the Data Warehouse

Loading Data into the Data Warehouse

Writing Queries and Tuning Performance

Maintaining the Data Warehouse

Analyzing and Visualizing Data

Objectifs

  • 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

Participants

Database architects

Database administrators

Database developers

Data analysts and scientists

Inter en présentiel Prochaines dates
Course Details
03 juil. - 05 juil., 2017 RUEIL ATHENEE
06 nov. - 08 nov., 2017 RUEIL ATHENEE

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Toutes les modalités
Date & Location Langue Version Modalité
juillet
03 juil. - 05 juil., 2017 RUEIL ATHENEE Inter en présentiel
novembre
06 nov. - 08 nov., 2017 RUEIL ATHENEE Inter en présentiel
Toutes nos dates
Date & Location Langue Version
mai
22 mai - 24 mai, 2017 Madrid Inter en présentiel
juin
07 juin - 09 juin, 2017 Mechelen (Zandvoortstraat 1) Inter en présentiel
07 juin - 09 juin, 2017 Nieuwegein (Iepenhoeve 5) Inter en présentiel
septembre
04 sept. - 06 sept., 2017 Mechelen (Zandvoortstraat 1) Inter en présentiel
04 sept. - 06 sept., 2017 Nieuwegein (Iepenhoeve 5) Inter en présentiel
11 sept. - 12 sept., 2017 Madrid Inter en présentiel
octobre
23 oct. - 25 oct., 2017 Nieuwegein (Iepenhoeve 5) Inter en présentiel
novembre
20 nov. - 22 nov., 2017 Mechelen (Zandvoortstraat 1) Inter en présentiel

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