Amazon Web Services (AWS) - Building Data Analytics Solutions Using Amazon Redshift

Duration

Duration:

Only 1 Day

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

24/6/2024 (Monday)

Overview

On this accelerated 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, cataloguing, 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. Activities

This course includes presentations, interactive demos, practice labs, discussions, and class exercises

Upon completion of this course you will be able 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

At the end of this course, you’ll sit achieve your Building Data Analytics Solutions Using Amazon Redshift certification.

Through Firebrand’s Lecture | Lab | Review methodology you’ll certify at twice the speed of traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

40% faster

Distraction-free environment

Audience

This course is ideal for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines.

Benefits

Seven reasons why you should sit your course with Firebrand Training

  1. Two options of training. Choose between residential classroom-based, or online courses
  2. You'll be certified fast. With us, you’ll be trained in record time
  3. Our course is all-inclusive. A one-off fee covers all course materials, exams**, accommodation* and meals*. No hidden extras.
  4. Pass the first time or train again for free. This is our guarantee. We’re confident you’ll pass your course the first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
  5. You’ll learn more. A day with a traditional training provider generally runs from 9 am – 5 pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day of quality learning time, with your instructor
  6. You’ll learn faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
  7. You’ll be studying with the best. We’ve been named in the Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified over 135,000 professionals
  • * For residential training only. Doesn't apply for online courses
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts

Curriculum

Building Data Analytics Solutions Using Amazon Redshift

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

Exam Track

At the end of this accelerated course, you’ll achieve your Building Data Analytics Solutions Using Amazon Redshift Certification.

What's Included

Your accelerated course includes:

  • Accommodation *
  • Meals, unlimited snacks, beverages, tea and coffee *
  • On-site exams **
  • Exam vouchers **
  • Practice tests **
  • Certification Guarantee ***
  • Courseware
  • Up-to 12 hours of instructor-led training each day
  • 24-hour lab access
  • Digital courseware **
  • * For residential training only. Accommodation is included from the night before the course starts. This doesn't apply for online courses.
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
  • *** Pass first time or train again free as many times as it takes, unlimited for 1 year. Just pay for accommodation, exams, and incidental costs.

Prerequisites

Before attending this accelerated course, you will ideally have a minimum of one-years experience managing data warehouses will benefit from this course.

Before completing this course we recommend that you have completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS.

Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.

Reviews

Here's the Firebrand Training review section. Since 2001 we've trained exactly 134,561 students and asked them all to review our Accelerated Learning. Currently, 96.41% have said Firebrand exceeded their expectations.

Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.


"Very impressed with the dedication from the instructor and how well structured the sessions are. The course is very intense since it''s only 3 days long, however, the quality of the training makes it worthwhile. I''d recommend going in person since you will find it much easier to focus and likely get more out of the course overall."
Simon Brown, Softcat. (8/9/2023 (Friday) to 10/9/2023 (Sunday))

"Enrolling in Firebrand Training''s AWS Solution Architect Associate course online instructor-led program was an outstanding decision for my career. The course was not only comprehensive but also delivered by highly knowledgeable instructors who made complex AWS concepts easy to grasp. The interactive nature of the online sessions and the practical hands-on labs ensured that I gained a deep understanding of AWS solutions and best practices. I can confidently say that Firebrand Training played a pivotal role in helping me achieve AWS Solution Architect Associate certification. I highly recommend this course to anyone looking to excel in AWS cloud architecture."
Omar Anwar. (4/9/2023 (Monday) to 7/9/2023 (Thursday))

"Course provided all the key knowledge required to prepare me for my organisation currently introducing AWS migrations"
AB, Marketaxess. (31/7/2023 (Monday) to 1/8/2023 (Tuesday))

"Trainer was excellent, a lot of information, great experience"
Olawale Abdullahi, BPP University. (31/7/2023 (Monday) to 1/8/2023 (Tuesday))

"The trainer provided excellent delivery and commitment to enabling me to understand the AWS platform, services and how they interact with each other. the topics where discussed in great depth with live demos and real world analogies and examples to help embed the knowledge rather than just reading from a slide deck. the course is extremely intense but the way the content delivery was structured with a mix of slides, live demos, labs and open classroom discussions helped enable me to gain a great insight into the AWS platform."
Matthew Bingham, Softcat PLC. (24/7/2023 (Monday) to 27/7/2023 (Thursday))

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