Professional Certificate in Data Products & Cloud-Native Architecture
-- ViewingNowThe Professional Certificate in Data Products & Cloud-Native Architecture is a comprehensive course designed to equip learners with essential skills for career advancement in the data-driven industry. This program emphasizes the importance of data products and cloud-native architecture, two critical components of modern technology infrastructure.
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⢠Data Products Development: This unit covers the fundamental concepts and best practices for developing data products, including data collection, processing, and visualization.
⢠Cloud Computing Basics: Students will learn about the basics of cloud computing, including the benefits and challenges of cloud-based infrastructure, and the major cloud service providers.
⢠Cloud-Native Architecture: This unit explores the concept of cloud-native architecture and its importance in modern data product development. Students will learn about microservices, containers, and orchestration systems such as Kubernetes.
⢠Big Data Processing: This unit covers the technologies and techniques for processing large-scale data sets in the cloud, including Apache Hadoop, Spark, and Flink.
⢠Data Storage and Management: Students will learn about the various data storage options available in the cloud, including relational and NoSQL databases, as well as data warehousing and lake solutions.
⢠Data Visualization and BI: This unit explores the best practices for data visualization and business intelligence in the cloud, including the use of tools such as Tableau, Power BI, and Looker.
⢠Machine Learning and AI: This unit covers the fundamentals of machine learning and artificial intelligence, including supervised and unsupervised learning, deep learning, and natural language processing.
⢠Cloud Security and Compliance: This unit explores the security and compliance considerations for cloud-native architecture, including best practices for data protection, network security, and access control.
⢠Cloud Migration and Modernization: Students will learn about the strategies and tools for migrating existing data products to the cloud, as well as modernizing legacy systems using cloud-native architecture.
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