AWS Redshift Fundamentals

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Certificate

Dedicated Tutors

43 Videos
1.20 Hours
51 Test Questions

AWS Redshift Fundamentals

Course Highlights

Closed Caption

Certificate

Dedicated Tutors

1.20 Hours
43 Videos

AWS Redshift Fundamentals

Course Description

1.20 Hours

43 Videos

Master AWS Redshift with our comprehensive course! Learn data warehousing, cluster deployment, query optimization, and advanced capabilities for career success in cloud data analytics.

Course Description for AWS Redshift Fundamentals

Unlock the power of data warehousing with “AWS Redshift Fundamentals.” This comprehensive course provides a deep dive into Amazon Redshift, one of the most robust and scalable data warehousing solutions on the market. You will explore the fundamentals of data warehouses, Amazon Redshift architecture, and its enterprise-grade features that drive data-driven decisions.

Learn to deploy, manage, and optimize Amazon Redshift clusters while mastering advanced capabilities like Multi-AZ deployments, backup and recovery, and data ingestion. With hands-on exercises and real-world demos, this course equips you with the practical skills needed to harness the full potential of AWS Redshift for your organization.

What You Will Learn in AWS Redshift Fundamentals

Gain practical skills and knowledge to leverage Amazon Redshift effectively. Here’s what you’ll master in this course:

  • The fundamentals of data warehouses and Amazon Redshift’s architecture.
  • Key AWS benefits, limitations, and pricing structures.
  • How to deploy and manage Amazon Redshift clusters effectively.
  • Query optimization and workload management for cost efficiency.
  • Advanced capabilities, including Multi-AZ deployment, security, and networking.
  • Techniques for data ingestion, backup, and recovery using Amazon Redshift.
  • Monitoring and optimizing Redshift clusters for peak performance.

Exam Objectives for AWS Redshift Fundamentals

This course does not directly prepare for a specific certification. However, it aligns with foundational and advanced AWS skills that are beneficial for certifications like AWS Certified Database – Specialty or AWS Certified Solutions Architect.

Who This AWS Redshift Fundamentals Course is For

Designed for data professionals and IT specialists, this course is ideal for individuals seeking to enhance their data warehousing skills using Amazon Redshift.

  • Database administrators and data architects.
  • Data analysts and data engineers.
  • IT professionals transitioning to cloud-based data solutions.
  • Business intelligence specialists aiming to improve data insights.
  • Developers working with large-scale data sets and analytics.

Possible Jobs You Can Get With This Knowledge

The skills gained in this course open doors to various high-demand roles in cloud computing and data analytics. Potential job opportunities include:

  • Cloud Data Engineer
  • Database Administrator
  • Data Architect
  • Business Intelligence Analyst
  • Cloud Solutions Architect
  • Data Analytics Consultant

Average Industry Salaries for AWS Redshift Skills

Professionals skilled in AWS Redshift are in high demand, with lucrative salaries across roles. Here’s an overview:

  • Cloud Data Engineer: $100,000 – $140,000 annually
  • Database Administrator: $90,000 – $120,000 annually
  • Data Architect: $110,000 – $150,000 annually
  • Business Intelligence Analyst: $85,000 – $115,000 annually
  • Cloud Solutions Architect: $120,000 – $160,000 annually
  • Data Analytics Consultant: $100,000 – $130,000 annually

Get Started Today with AWS Redshift Fundamentals

Don’t miss the opportunity to master AWS Redshift and transform your data career! Enroll in “AWS Redshift Fundamentals” today and gain the skills needed to optimize data operations and analytics in any organization.

Start your journey to becoming a data warehousing expert with Amazon Redshift—enroll now!

Course Highlights

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Proudly Display Your Achievement

Upon completion of your training, you’ll receive a personalized certificate of completion to help validate to others your new skills.

Step-by-Step Courses List

Chapter One:

Section 1: AWS Redshift Fundamentals

  •    1.1 Fundamentals of data warehouses and Amazon Redshift
  •    1.2 AWS Benefits and Limitations
  •    1.3 AWS Redshift Pricing
  •    1.4 Enterprise Use Cases
  •    1.5 Node Types
  •    1.6 Cluster Options
  •    1.7 Demo – Free Tier- Startup Credits
  •    1.8 Hands on Exercise 1 – Deploy a Cluster
  •    1.9 Whiteboard- Redshift Architecture
  •    1.10 Life of a Query
  •    1.11 Query and Cost Optimization
  •    1.12 Workload Management
  •    1.13 Whiteboard- Redshift WLM
  •    1.14 Redshift Performance Notes
  •    1.15 Column Oreiented structures
  •    1.16 Section Review
  •    1.17 Review Questions
Chapter Two:

Section 2: Advanced Capabilities

  •    2.1 Advanced Capabilities
  •    2.2 Deployment Options (node types, cluster options, etc.)
  •    2.3 Multi-AZ deployment with Amazon Redshift
  •    2.4 Backup and Recovery
  •    2.5 Demo -Deploy Cluster
  •    2.6 Demo – Resize Cluster
  •    2.7 Networking and Security
  •    2.8 Demo – Networking and Security
  •    2.9 HOE – Setup IAM and Deploy Cluster
  •    2.10 Whiteboard – Networking
  •    2.11 Demo – Connect to Database
  •    2.12 HOE – SQLWB
  •    2.13 Excel Connections
  •    2.14 Setting up and managing data ingestion with Amazon Redshift
  •    2.15 HOE – AWS S3 Data Load
  •    2.16 Monitoring Redshift
  •    2.17 Demo – Monitor Redshift
  •    2.18 HOE – Deploy an Amazon Redshift data warehouse cluster, load data into the cluster
  •    2.19 Amazon Redshift Spectrum
  •    2.20 Section Review
  •    2.21 Review Questions
  •    2.22 Resources
  •    2.23 Course Closeout

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Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

Related Products

Description

Master AWS Redshift with our comprehensive course! Learn data warehousing, cluster deployment, query optimization, and advanced capabilities for career success in cloud data analytics.

Course Description for AWS Redshift Fundamentals

Unlock the power of data warehousing with “AWS Redshift Fundamentals.” This comprehensive course provides a deep dive into Amazon Redshift, one of the most robust and scalable data warehousing solutions on the market. You will explore the fundamentals of data warehouses, Amazon Redshift architecture, and its enterprise-grade features that drive data-driven decisions.

Learn to deploy, manage, and optimize Amazon Redshift clusters while mastering advanced capabilities like Multi-AZ deployments, backup and recovery, and data ingestion. With hands-on exercises and real-world demos, this course equips you with the practical skills needed to harness the full potential of AWS Redshift for your organization.

What You Will Learn in AWS Redshift Fundamentals

Gain practical skills and knowledge to leverage Amazon Redshift effectively. Here’s what you’ll master in this course:

  • The fundamentals of data warehouses and Amazon Redshift’s architecture.
  • Key AWS benefits, limitations, and pricing structures.
  • How to deploy and manage Amazon Redshift clusters effectively.
  • Query optimization and workload management for cost efficiency.
  • Advanced capabilities, including Multi-AZ deployment, security, and networking.
  • Techniques for data ingestion, backup, and recovery using Amazon Redshift.
  • Monitoring and optimizing Redshift clusters for peak performance.

Exam Objectives for AWS Redshift Fundamentals

This course does not directly prepare for a specific certification. However, it aligns with foundational and advanced AWS skills that are beneficial for certifications like AWS Certified Database – Specialty or AWS Certified Solutions Architect.

Who This AWS Redshift Fundamentals Course is For

Designed for data professionals and IT specialists, this course is ideal for individuals seeking to enhance their data warehousing skills using Amazon Redshift.

  • Database administrators and data architects.
  • Data analysts and data engineers.
  • IT professionals transitioning to cloud-based data solutions.
  • Business intelligence specialists aiming to improve data insights.
  • Developers working with large-scale data sets and analytics.

Possible Jobs You Can Get With This Knowledge

The skills gained in this course open doors to various high-demand roles in cloud computing and data analytics. Potential job opportunities include:

  • Cloud Data Engineer
  • Database Administrator
  • Data Architect
  • Business Intelligence Analyst
  • Cloud Solutions Architect
  • Data Analytics Consultant

Average Industry Salaries for AWS Redshift Skills

Professionals skilled in AWS Redshift are in high demand, with lucrative salaries across roles. Here’s an overview:

  • Cloud Data Engineer: $100,000 – $140,000 annually
  • Database Administrator: $90,000 – $120,000 annually
  • Data Architect: $110,000 – $150,000 annually
  • Business Intelligence Analyst: $85,000 – $115,000 annually
  • Cloud Solutions Architect: $120,000 – $160,000 annually
  • Data Analytics Consultant: $100,000 – $130,000 annually

Get Started Today with AWS Redshift Fundamentals

Don’t miss the opportunity to master AWS Redshift and transform your data career! Enroll in “AWS Redshift Fundamentals” today and gain the skills needed to optimize data operations and analytics in any organization.

Start your journey to becoming a data warehousing expert with Amazon Redshift—enroll now!

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