Building Data Analytics Solutions Using Amazon Redshift
In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service.The course focuses on the data collection, ingestion, cataloging, storage, and processing
components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to
support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift.
This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses.
Location
Helsinki
Training formats
Classroom
Remote
Duration
1 day
Price
890 €
Target Group
This course is intended for data warehouse engineers, data platform engineers, and architects and
operators who build and manage data analytics pipelines.
Goal
In this course, you will learn to:
- Compare the features and benefits of data warehouses, data lakes, and modern data architectures
- Design and implement a data warehouse analytics solution
- Identify and apply appropriate techniques, including compression, to optimize data storage
- Select and deploy appropriate options to ingest, transform, and store data
- Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
- Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
- Secure data at rest and in transit
- Monitor analytics workloads to identify and remediate problems
- Apply cost management best practices
Prerequisites
Students with a minimum one-year experience managing data warehouses will benefit from this course.
We recommend that attendees of this course have:
- Completed either AWS Technical Essentials or Architecting on AWS
- Completed Building Data Lakes on AWS
Building Data Analytics Solutions Using Amazon Redshift - Course Online
Module A: Overview of Data Analytics and the Data Pipeline
- Data analytics use cases
- Using the data pipeline for analytics
Module 1: Using Amazon Redshift in the Data Analytics Pipeline
- Why Amazon Redshift for data warehousing?
- Overview of Amazon Redshift
Module 2: Introduction to Amazon Redshift
- Amazon Redshift architecture
- Interactive Demo 1: Touring the Amazon Redshift console
- Amazon Redshift features
- Practice Lab 1: Load and query data in an Amazon Redshift cluster
Module 3: Ingestion and Storage
- Ingestion
- Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API
- Data distribution and storage
- Interactive Demo 3: Analyzing semi-structured data using the SUPER data type
- Querying data in Amazon Redshift
- Practice Lab 2: Data analytics using Amazon Redshift Spectrum
Module 4: Processing and Optimizing Data
- Data transformation
- Advanced querying
- Practice Lab 3: Data transformation and querying in Amazon Redshift
- Resource management
- Interactive Demo 4: Applying mixed workload management on Amazon Redshift
- Automation and optimization
- Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster
Module 5: Security and Monitoring of Amazon Redshift Clusters
- Securing the Amazon Redshift cluster
- Monitoring and troubleshooting Amazon Redshift clusters
Module 6: Designing Data Warehouse Analytics Solutions
- Data warehouse use case review
- Activity: Designing a data warehouse analytics workflow
Module B: Developing Modern Data Architectures on AWS
- Modern data architectures
This course includes presentations, interactive demos, practice labs, discussions, and class exercises.
Pricing
Select any or all of our four one-day courses to learn best practices in Building Modern Data Analytics Solutions on AWS collection. Choose only the courses you need to match the services and solutions that are relevant to you.
When you buy all the courses included in the collection at the same time, you get them for combined price of €2490 + VAT (norm. €3590). If you want to take advantage of this benefit, mention it in the additional information field of the enrollment form.
You might be interested in these courses:
