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Cloud Based Data Services

The Cloud-Based Data Services course offers comprehensive training on leveraging cloud computing platforms for data storage, processing, and analysis. Participants will learn about various cloud-based data services provided by leading cloud providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The course covers key concepts, best practices, and hands-on exercises to enable participants to harness the power of cloud-based data services for their organizations.

The primary objective of this course is to provide participants with the knowledge and skills necessary to design, deploy, and manage data-intensive applications using cloud-based data services. Participants will learn how to leverage cloud computing resources effectively to store, process, analyze, and visualize data, enabling scalable and cost-efficient solutions for data-driven decision-making


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What you will learn

By the end of this course, participants will be able to:
  • Understand the benefits and challenges of using cloud-based data services
  • Gain familiarity with various cloud computing platforms and their data service offerings
  • Learn how to store, manage, and secure data in the cloud using scalable storage solutions
  • Explore techniques for processing and analyzing data at scale using cloud-based analytics services
  • Discover best practices for designing and implementing data pipelines and workflows in the cloud
  • Develop skills to leverage cloud-based data services for real-time data processing and streaming analytics
  • Gain insights into cost optimization strategies and performance tuning techniques for cloud-based data services

Beneficial for

This course is suitable for:
  • Data Engineers
  • Data Analysts
  • Data Scientists
  • Database Administrators
  • IT Professionals involved in data management and analytics
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Course Pre-requisite

Participants should have a basic understanding of:
  • Basic understanding of cloud computing concepts
  • Familiarity with data storage and processing concepts
  • Knowledge of SQL and database management systems (beneficial but not mandatory)
  • Experience working with at least one cloud platform (e.g., AWS, Azure, GCP) (beneficial but not mandatory)

Course Outline

Overview of cloud computing and its impact on data management and analytics

Introduction to cloud-based data service models (IaaS, PaaS, SaaS)

Overview of cloud storage options (object storage, block storage, file storage)

Deep dive into cloud storage services provided by leading cloud providers

Introduction to cloud database options (relational, NoSQL, NewSQL)

Exploring cloud-based database services for transactional and analytical workloads

Overview of cloud-based big data and analytics platforms

Leveraging cloud-based services for data processing, analytics, and machine learning

Designing and implementing data pipelines using cloud-based ETL tools

Best practices for orchestrating and scheduling data workflows in the cloud

Introduction to real-time data processing and streaming analytics

Leveraging cloud-based services for real-time data ingestion, processing, and analysis

Ensuring data governance and compliance in cloud-based data services

Implementing security best practices for protecting data in the cloud

Strategies for optimizing costs and performance in cloud-based data services

Monitoring, measuring, and optimizing resource utilization in the cloud

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