Building Data Analytics Solutions Using Amazon Redshift
Duration : 1 Day (8 Hours)
Building Data Analytics Solutions Using Amazon Redshift Course Overview:
In this Building Data Analytics Solutions Using Amazon Redshift 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.
Course level: Intermediate
Intended audience:
This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines.
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
Course Prerequisites:
- Completed either AWS Technical Essentials or Architecting on AWS
- Completed Building Data Lakes on AWS
Q: What is Building Data Analytics Solutions Using Amazon Redshift training?
A: This training is a comprehensive program designed to provide individuals with the knowledge and skills needed to design and build robust data analytics solutions using Amazon Redshift. It covers various aspects of data warehousing, data modeling, data loading, query optimization, and analytics using Amazon Redshift, a powerful and scalable cloud-based data warehouse service provided by Amazon Web Services (AWS).
Q: Who should consider taking this training?
A: This training is suitable for data engineers, data analysts, data architects, and IT professionals who want to leverage Amazon Redshift for building scalable and high-performance data analytics solutions. It is beneficial for those involved in data warehousing, data modeling, and performing complex analytics queries on large datasets.
Q: What topics are covered in this training?
A: The training covers a range of topics, including Amazon Redshift architecture, data modeling and schema design, data loading strategies, query optimization techniques, managing and monitoring Amazon Redshift clusters, integrating with other AWS services, and best practices for building efficient data analytics solutions using Amazon Redshift.
Q: Are there any prerequisites for taking this training?
A: While there are no strict prerequisites, having a basic understanding of data concepts, SQL, and data warehousing principles will be helpful in understanding the content effectively. Familiarity with AWS services and database concepts is also beneficial.
Q: How can I prepare for this training?
A: To prepare for the training, it is recommended to have a good understanding of data warehousing concepts, SQL queries, and data modeling principles. Familiarizing yourself with Amazon Redshift documentation, SQL optimization techniques, and AWS services related to data analytics can also enhance your preparation.
Q: How can I register for Building Data Analytics Solutions Using Amazon Redshift training?
A: To register for the training, click Enroll Now, we will provide you with information on available training schedules, formats (in-person or online), and enrollment procedures.
Q: Is Building Data Analytics Solutions Using Amazon Redshift training available online?
A: Yes, we offer online training options for Building Data Analytics Solutions Using Amazon Redshift to provide flexibility for learners.
Q: Can this training help in obtaining AWS certifications?
A: While Building Data Analytics Solutions Using Amazon Redshift training provides valuable knowledge and skills in building data analytics solutions, it does not directly prepare you for specific AWS certifications. However, it lays a solid foundation for pursuing advanced certifications related to data analytics or AWS architecture.
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- Immediate application
Training Exclusives
This course comes with following benefits:
- Practice Labs.
- Get Trained by Certified Trainers.
- Access to the recordings of your class sessions for 90 days.
- Digital courseware
- Experience 24*7 learner support.
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