What you will learn
- Understand the benefits and challenges of using Big Data as a service
- Gain familiarity with cloud-based Big Data platforms and services offered by leading cloud providers
- Learn how to store, manage, and process large volumes of data using cloud-based Big Data services
- Explore techniques for performing advanced analytics, machine learning, and AI on Big Data in the cloud
- Develop skills to optimize performance, security, and cost-efficiency in cloud-based Big Data solutions
- Gain insights into real-world use cases and applications of Big Data as a service across different industries and domains
Beneficial for
- Data Engineers
- Data Analysts
- IT Professionals involved in data management and analytics
- Data Scientists
- Business Intelligence Professionals
Course Pre-requisite
- Basic understanding of Big Data concepts and technologies
- Familiarity with cloud computing concepts
- Knowledge of programming languages such as Python or Java (beneficial but not mandatory)
- Experience working with data analysis and visualization tools (beneficial but not mandatory)
Course Outline
Overview of Big Data technologies and their evolution
Understanding the concept of Big Data as a service and its advantages
Overview of cloud-based Big Data platforms offered by leading cloud providers
Comparing and contrasting different cloud-based Big Data services
Storing and managing large volumes of data in the cloud using scalable storage solutions
Exploring cloud-based data warehousing and data lake services
Processing and analyzing Big Data at scale using cloud-based data processing services
Performing data analytics, descriptive, diagnostic, predictive, and prescriptive analytics
Leveraging machine learning and AI technologies for advanced analytics on Big Data
Exploring cloud-based machine learning and AI services for Big Data applications
Designing scalable and resilient Big Data architectures in the cloud
Best practices for building fault-tolerant and high-performance Big Data solutions in the cloud
Optimizing performance and cost-efficiency in cloud-based Big Data solutions
Monitoring and managing resources to minimize costs and maximize performance
Analyzing real-world use cases and applications of Big Data as a service
Understanding how organizations leverage cloud-based Big Data platforms for business value
