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building data lakes on aws certification

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• Hands-on training with practical applications

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Overview Learning Objectives Who Should Attend Prerequisite Outline Certification

Course Overview

This Building Data Lakes on AWS course provides a comprehensive understanding of how to leverage Amazon Web Services (AWS) to construct robust data lakes. Participants will delve into the fundamental concepts of data lakes and explore how AWS services can facilitate their creation and management.

The course begins with an overview of data lakes, including their purpose, benefits, and architecture. Participants will gain insights into the key components of a data lake environment and learn best practices for designing and implementing data lake solutions on AWS.

Throughout the course, emphasis is placed on hands-on learning experiences, allowing participants to apply theoretical knowledge to practical scenarios. They will engage in interactive exercises and labs that demonstrate how to use AWS services such as Amazon S3, AWS Glue, and Amazon Athena to ingest, store, process, and analyze data within a data lake environment.

Moreover, the course covers advanced topics such as data lake security, governance, and scalability, equipping participants with the skills needed to address real-world challenges and optimize the performance of their data lake solutions.

By the end of the course, participants will have the knowledge and confidence to architect, deploy, and manage data lakes on AWS effectively. Whether you are a data engineer, data architect, or IT professional, this course will empower you to harness the full potential of AWS for building scalable and efficient data lake infrastructures.

Course Objectives

Upon completing the course, you will be able to:

•   Understand the fundamental concepts of building data lakes on AWS.
•   Learn how to leverage AWS services such as Amazon S3, AWS Glue, and Amazon Athena for data lake construction.
•   Gain practical experience in ingesting, storing, processing, and analyzing data within a data lake environment.
•   Explore best practices for designing and implementing data lake solutions on AWS.
•   Develop proficiency in data lake security measures and governance principles.
•   Learn advanced techniques for optimizing data lake performance and scalability.
•   Acquire skills to address real-world challenges encountered in data lake implementations.
•   Enhance your ability to architect, deploy, and manage data lakes effectively on AWS.
•   Gain insights into data lake architectures and their applications across various industries.
•   Prepare to apply learned concepts and techniques to your own data lake projects or within your organization.

Skills You Will Acquire:

•   AWS service utilization for data lake construction.
•   Data ingestion, storage, processing, and analysis in data lake environments.
•   Understanding data lake security and governance.
•   Optimizing data lake performance and scalability.
•   Addressing real-world challenges in data lake implementations.

Audience

•   Data Engineers
•   Data Architects
•   IT Professionals
•   Database Administrators
•   Business Intelligence Analysts
•   Data Scientists
•   Data Analysts
•   Cloud Architects
•   Solutions Architects
•   Big Data Engineers

Prerequisite

Experience with AWS Technical Essentials
Minimum of one year constructing data analytics pipelines

Course Outline

Introduction to data lakes

•   Elucidate the importance of data lakes
•   Contrast data lakes with data warehouses
•   Outline the constituents of a data lake
•   Identify prevalent architectures constructed on data lakes

Data ingestion, cataloging, and preparation

•   Explain the correlation between data lake storage and data ingestion.
•   Define AWS Glue crawlers and their role in establishing a data catalog.
•   Recognize the significance of data formatting, partitioning, and compression in optimizing storage and query efficiency.

Data processing and analytics

•   Identify the application of data processing within a data lake.
•   Utilize AWS Glue for data processing tasks within a data lake.
•   Explain the process of utilizing Amazon Athena for data analysis within a data lake.

Building a data lake with AWS Lake Formation

•   Explain the features and advantages of AWS Lake Formation.
•   Employ AWS Lake Formation to establish a data lake.
•   Comprehend the security model employed by AWS Lake Formation.

Additional Lake Formation configurations

•   Streamline AWS Lake Formation through blueprints and workflows automation.
•   Implement security measures and access controls for AWS Lake Formation.
•   Utilize AWS Lake Formation FindMatches to match records effectively.
•   Visualize data using Amazon QuickSight for enhanced insights and understanding.

Architecture and course review

•   Post-course knowledge assessment
•   Review of architecture
•   Course evaluation

About the Examination

Exam Details:

Length: 180 minutes to finish the test.
Format: Multiple choice or multiple response. 65 Questions.
Delivery Method: Online proctored exam or through Pearson VUE testing center.

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FAQ’s

What distinguishes AWS data lakes, and why are they crucial for modern data management?

AWS data lakes provide scalable and cost-effective storage solutions for large volumes of structured and unstructured data. They enable organizations to centralize data from diverse sources, facilitating advanced analytics, machine learning, and business intelligence.

Who is the target audience for this course?

This course is designed for data engineers, architects, IT professionals, and anyone involved in data management and analytics seeking to harness AWS services for building and managing data lakes.

What topics will I cover in this course?

Participants will learn about data lake architecture, AWS services for data ingestion, storage, processing, and analysis, security and governance best practices, scalability considerations, and real-world use cases.

Do I need prior AWS experience to enroll?

While prior AWS experience is beneficial, it's not mandatory. This course caters to learners at various proficiency levels, providing comprehensive instruction from basic to advanced concepts in building data lakes on AWS.

Are there any prerequisites for this course?

Familiarity with basic data management concepts and AWS services is recommended but not required. Enthusiasm for learning about data lakes and AWS is essential.

Will I gain hands-on experience with building data lakes on AWS?

Yes, the course includes practical exercises and labs where participants will build and configure data lakes using AWS services, applying the concepts learned in real-world scenarios.

How will completing this course benefit my career?

Mastery of building data lakes on AWS enhances skills in data management, analytics, and cloud computing, making participants valuable assets for organizations seeking to leverage data for strategic decision-making and innovation.

Is this course aligned with any AWS certifications?

While the course focuses on practical skills and knowledge, it also prepares participants for AWS certifications such as AWS Certified Data Analytics - Specialty and AWS Certified Solutions Architect - Associate.

What support is available after completing the course?

Participants will have access to course materials, resources, and instructor support post-completion, enabling continuous learning and assistance in implementing data lake solutions.

How can I enroll in the course?

Enrollment is simple. Visit the Vinsys website or contact their enrollment team for registration details, course availability, and any further assistance needed.

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Reviews

The Building Data Lakes on AWS course at Vinsys was a fantastic investment in my career development. The instructors were not only experts in the field but also excellent communicators who made complex concepts easy to understand. The course structure was well-organized, with a perfect balance of theory and practical exercises. I particularly appreciated the emphasis on real-world applications, which gave me valuable insights into solving challenges I face in my day-to-day work. I left the course feeling inspired and equipped with the skills needed to build efficient data lakes on AWS. I highly recommend this course to anyone serious about advancing their career in data analytics.

Dean JoshProject Manager

Enrolling in the Building Data Lakes on AWS course at Vinsys was one of the best decisions I've made for my professional development. The course content was rich and up-to-date, covering all the essential aspects of designing and implementing data lakes on AWS. The instructors were not only knowledgeable but also passionate about sharing their expertise, which made the learning experience enjoyable and engaging. The hands-on labs provided practical experience, allowing me to gain confidence in my abilities. Thanks to this course, I now feel well-prepared to tackle data lake projects in my organization. I highly recommend Vinsys to anyone looking to enhance their skills in AWS data analytics.

Pranjal TedeChief Technical Officer

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