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Building Data Analytics Solutions Using Amazon Redshift Training in Bahrain

Learn to build and manage data analytics pipelines

8 hours of training program

In-depth course structure with eight modules

Integrate Amazon Redshift with a data lake

Guided instructive sessions from expert trainers

Includes interactive demos, practice labs and class exercises

Flexible learning options designed for busy schedule

Easy payment options in instalments

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5273 EnrolledEnrolled Learners
GoogleGoogle4.9/5
5273 EnrolledEnrolled Learners

Overview

What we are going to teach you:

  • Discover real-world scenarios where data analytics adds value
  • Gain insight into Amazon Redshift’s architecture for data warehousing
  • Get hands-on experience with the Amazon Redshift user interface
  • Practice loading data and executing queries within Redshift clusters
  • Use Redshift Spectrum to analyze extensive data sets efficiently
  • Utilize Jupyter notebooks for data import and analysis tasks
  • Learn best practices for securing and monitoring Redshift clusters

Upcoming sessions

Curriculum

1

Data analytics use cases

2

Using the data pipeline for analytics

1

Why Amazon Redshift for data warehousing?

2

Overview of Amazon Redshift

1

Amazon Redshift architecture

2

Interactive Demo 1: Touring the Amazon Redshift console

3

Amazon Redshift features

4

Practice Lab 1: Load and query data in an Amazon Redshift cluster

1

Ingestion

2

Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API

3

Data distribution and storage

4

Interactive Demo 3: Analyzing semi-structured data using the SUPER data type

5

Querying data in Amazon Redshift

6

Practice Lab 2: Data analytics using Amazon Redshift Spectrum

1

Data transformation

2

Advanced querying

3

Practice Lab 3: Data transformation and querying in Amazon Redshift

4

Resource management

5

Interactive Demo 4: Applying mixed workload management on Amazon Redshift

6

Automation and optimization

7

Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster

1

Securing the Amazon Redshift cluster

2

Monitoring and troubleshooting Amazon Redshift clusters

1

Data warehouse use case review

2

Activity: Designing a data warehouse analytics workflow

1

Modern data architectures

Meet your Trainer

Our Trainers

We take immense pride in our skilled instructors and trainers who excel in their chosen fields. Our trainers are globally recognised for their expertise and experience.Learners Point adopts a data driven research approach to learning so the experience is highly customizable and thoroughly engaging for learners from all walks of life. The sessions are classroom-based and led by an instructor. For those who seek more flexibility, we also offer high quality live and interactive sessions online.

Our Trainers

Learning Outcomes

After you complete this training, you will be able to:

  • 1

    Explore Amazon Redshift’s architecture and its role in modern data analytics pipelines

  • 2

    Learn to manage and query semi-structured data using the SUPER data type

  • 3

    Gain experience with Redshift Spectrum for querying massive datasets in Amazon S3

  • 4

    Apply techniques to optimize, resize, and fine-tune Redshift clusters for peak performance

  • 5

    Deepen your understanding of Redshift’s data storage and distribution mechanisms

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  • Learners Point Certificate

    Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

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    Prerequisites

    To enrol in this Building Data Analytics Solutions Using Amazon Redshift Training in Bahrain, candidates must fulfil these eligibility requirements:

    • A minimum one year of experience managing data warehouses is required
    • Must have completed either AWS Technical Essentials or Architecting on AWS
    • Must have completed the Building Data Lakes on AWS course

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    Frequently asked questions

    Our Building Data Analytics Solutions Using Amazon Redshift Training in Bahrain teaches learners how to design, build, and manage scalable data analytics solutions using Amazon Redshift. We focus on helping you understand data warehousing concepts, set up Redshift clusters, load and transform data, and run complex queries. We also guide you through optimizing performance for business intelligence and analytics workflows.

    Yes, our course will teach you how to use Amazon Redshift in an efficient way for querying large datasets to improve reporting. You will learn how to use Power BI with Redshift for advanced analytics and reporting, optimize the queries to handle complex data, and create detailed and high-performance reports and dashboards that can be used to derive actionable insights for your business.

    Of course, it does. It equips one with knowledge on the management of Redshift clusters, query performance optimization, and implementation of security and scalability best practices. You will also get hands-on experience with Redshift Spectrum and data transformations that will help you support your team with data migration, integration, and monitoring. This way, you will be able to ensure that the Redshift infrastructure of your organization is set up and maintained efficiently for smooth operations and the best results.

    You can register for our Building Data Analytics Solutions Using Amazon Redshift Training in Bahrain if you meet the following criteria:

    • Have at least one year of experience managing data warehouses
    • Have completed either AWS Technical Essentials or Architecting on AWS
    • Have also finished the Building Data Lakes on AWS course

    Yes, upon successful completion, participants receive a certificate of completion from us. This certification validates your knowledge of Amazon Redshift and your ability to build analytics solutions using AWS tools. It also adds strong value to your professional profile and can support your career growth in the cloud and data analytics space.

    This Amazon Redshift training is ideal for:

    • Data engineers, analysts, and scientists aiming to work with Redshift for analytics and reporting
    • IT professionals and cloud architects building data warehouses on AWS
    • Anyone interested in connecting Redshift with tools like AWS Glue, S3, or QuickSight
    • Organizations adopting Amazon Redshift for better data-driven decision-making

    The key topics that we cover in this course are:

    - Understanding Redshift architecture and core features
    - Setting up and configuring Redshift clusters
    - Loading data with AWS Glue, Data Pipeline, and Amazon S3
    - Writing queries and transforming data using Redshift SQL
    - Performance tuning and modeling best practices
    - Integrating with Amazon QuickSight for data visualization
    - Managing security, backup, and recovery processes

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