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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โข Data Products Development: This unit covers the fundamental concepts and best practices for developing data products, including data collection, processing, and visualization.
โข 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.
โข 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.
โข 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.
โข 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.
โข 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.
โข 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.
โข 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.
โข 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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