Advanced Certificate SQL Data Transition for Cloud
-- ViewingNowThe Advanced Certificate SQL Data Transition for Cloud course is a comprehensive program designed to equip learners with essential skills for managing and transitioning data to cloud platforms using SQL. This course is vital in today's digital age, where businesses are increasingly relying on cloud technology to store and manage their data.
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โข Advanced SQL Concepts: This unit will cover advanced SQL concepts such as subqueries, joins, temporary tables, views, and stored procedures. It will also include advanced data manipulation techniques and optimization strategies.
โข Cloud Architecture and Services: This unit will cover the basics of cloud architecture and popular cloud services such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). It will also cover the benefits and challenges of migrating data to the cloud.
โข SQL Database Migration to the Cloud: This unit will cover best practices and strategies for migrating SQL databases to the cloud, including schema design considerations, data migration techniques, and security considerations.
โข Cloud Data Warehousing and Analytics: This unit will cover the use of cloud-based data warehousing solutions such as Amazon Redshift, Google BigQuery, and Azure Synapse Analytics. It will also cover data analytics techniques using SQL and other tools.
โข Cloud-Based SQL Security and Compliance: This unit will cover security and compliance considerations for SQL databases in the cloud, including access control, encryption, and compliance with regulations such as GDPR and HIPAA.
โข Cloud Data Integration and ETL: This unit will cover techniques for integrating data from various sources and performing ETL (Extract, Transform, Load) operations in the cloud. It will also cover data quality and data governance considerations.
โข Cloud Data Governance and Management: This unit will cover best practices for data governance and management in the cloud, including data cataloging, data lineage, and data observability.
โข Cloud Monitoring and Troubleshooting: This unit will cover monitoring and troubleshooting strategies for SQL databases in the cloud, including performance monitoring, log analysis, and alerting.
โข Cloud DevOps and Automation: This unit will cover DevOps and automation strategies for SQL databases in the cloud, including continuous integration and continuous delivery, infrastructure as code, and test automation.
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