Duration : 4 Days
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Building Modern Data Analytics Solutions on AWS Certification Training
This 4-days course immerses you in the world of modern data analytics solutions on AWS. Delve into Amazon Redshift, Amazon EMR, and Amazon Athena, mastering their capabilities to streamline data processing and analysis. You will learn expert techniques for data ingestion, storage
Building Modern Data Analytics Solutions on AWS Certification Training
Hands-on training with practical applications
Regular mock tests
• 24*7 training assistance
Course Overview
This Building Modern Data Analytics Solutions on AWS course is designed to equip participants with the knowledge and skills needed to architect and implement robust data analytics solutions on the Amazon Web Services (AWS) platform. In today's data-driven world, organizations rely heavily on data analytics to derive actionable insights and drive business decisions. This course aims to bridge the gap between theoretical understanding and practical implementation, empowering participants to leverage AWS services effectively for modern data analytics.
Throughout the course, participants will explore key concepts such as data ingestion, storage, processing, and visualization using a variety of AWS services, including Amazon S3, Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Hands-on exercises and real-world scenarios will enable participants to gain practical experience in designing scalable and cost-effective data analytics solutions that meet the needs of their organizations.
By the end of the course, participants will have developed a solid understanding of best practices for building data analytics solutions on AWS, including data integration, transformation, and analysis. They will be equipped with the tools and techniques necessary to address common challenges in data analytics projects, such as scalability, security, and performance optimization. Whether you are a data engineer, data scientist, or business analyst, this course will provide you with the foundational knowledge and practical skills to succeed in today's data-driven landscape.
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Course Objectives
Upon completing the course, you will be able to:
• Understand the fundamental principles of modern data analytics and its significance in driving business decisions.
• Gain proficiency in leveraging AWS services such as Amazon S3, Redshift, Athena, EMR, and QuickSight for building data analytics solutions.
• Learn best practices for data ingestion, storage, processing, and visualization on the AWS platform.
• Develop skills in designing scalable and cost-effective data architectures to meet specific business requirements.
• Acquire hands-on experience in implementing data integration and transformation workflows using AWS services.
• Explore advanced techniques for optimizing data analytics solutions for performance, scalability, and cost efficiency.
• Learn how to secure data throughout its lifecycle, from ingestion to visualization, using AWS security features and best practices.
• Understand the principles of data governance and compliance in the context of AWS data analytics solutions.
• Gain insights into monitoring, troubleshooting, and optimizing data analytics pipelines on AWS.
• Apply learned concepts and skills to real-world scenarios through practical exercises and case studies.
Skills You Will Acquire:
• Proficiency in leveraging AWS services for data analytics.
• Designing scalable and cost-effective data architectures.
• Implementing data integration and transformation workflows.
• Securing data throughout its lifecycle on AWS.
• Monitoring and optimizing data analytics pipelines.
Audience
• Data Engineers
• Data Scientists
• Business Analysts
• Database Administrators
• Data Architects
• Data Analysts
• IT Managers
• Solutions Architects
• Software Developers
• Technical Consultants
Prerequisite
• AWS Technical Essentials
Course Outline
• Day 1: Constructing Data Lakes on AWS
• Day 1: Constructing Data Lakes on AWS
• Day 2: Constructing Batch Data Analytics Solutions on AWS
• Day 2: Constructing Batch Data Analytics Solutions on AWS
• Day 3: Constructing Streaming Data Analytics Solutions on AWS
• Day 3: Constructing Streaming Data Analytics Solutions on AWS
• Day 4: Constructing Data Analytics Solutions Using Amazon Redshift
• Day 4: Constructing Data Analytics Solutions Using Amazon Redshift
About the Examination
Exam Overview:
- Length: 180 minutes to finish the test.
- Format: Either MCQ or multiple response, 65 questions.
- Delivery: Pearson VUE testing center or online proctored exam.
Choose Your Preferred Mode
Online Training
- 4 days Instructor led Online Training
- Experienced Subject Matter Experts
- Approved and Quality Ensured training Material
- 24*7 leaner assistance and support
Corporate Training
- Customized Training Across Various Domains
- Instructor Led Skill Development Program
- Ensure Maximum ROI for Corporates
- 24*7 Learner Assistance and Support
FAQ’s
What distinguishes AWS data lakes, and why are they crucial for modern data management?
AWS data lakes offer scalable and cost-effective storage solutions for both structured and unstructured data. They play a vital role in modern data management by centralizing data from various sources, enabling advanced analytics, machine learning, and business intelligence.
Who is the target audience for this course?
This course is tailored for data engineers, architects, IT professionals, and individuals involved in data management and analytics on AWS.
What topics will I cover in this course?
Topics include data lake architecture, AWS services for data processing, security 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 required. The course caters to learners at various proficiency levels.
Are there any prerequisites for this course?
Familiarity with data management concepts and AWS services is recommended but not mandatory. 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.
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.
Is this course aligned with any AWS certifications?
While the course focuses on practical skills, it also prepares participants for AWS certifications such as AWS Certified Data Analytics - Specialty.
What support is available after completing the course?
Participants will have access to course materials, resources, and instructor support post-completion.
How can I enroll in the course?
Visit the Vinsys website or contact their enrollment team for registration details and course availability
Why Vinsys
Seasoned Instructors
Official Vendor Partnerships
Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
Customizable Blended Learning Options
Reviews
Attending Vinsys' course on Constructing Contemporary Data Analytics Solutions on AWS was pivotal for my career growth. The instructors were not only experts in the field but also skilled communicators, simplifying intricate topics effectively. The course structure was well-organized, striking a fine balance between theory and practical exercises. Real-world examples were emphasized, offering valuable insights into addressing everyday challenges. Exiting the course, I felt motivated and equipped with the necessary skills to develop advanced data analytics solutions on the AWS platform. I highly recommend this course to individuals seeking to excel in the field of data analytics.
Himesh ThawareIT Head
Enrolling in Vinsys' program on Building Modern Data Analytics Solutions on AWS was a game-changer for me professionally. The instructors were highly knowledgeable and conveyed concepts clearly, making the learning experience enjoyable. The course curriculum was comprehensive, covering all essential aspects of modern data analytics solutions on AWS. Hands-on activities provided practical experience, enhancing my confidence in applying learned concepts. Thanks to this course, I now feel well-prepared to tackle complex data analytics projects using AWS services. I strongly recommend Vinsys to anyone looking to enhance their expertise in AWS data analytics.
Kajal kapurProject Manager
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