01.01-data storage in azure
01.02-what you should know
02.01-understanding types of data
02.02-features of relational data
02.03-solutions for relational data on azure
02.04-features of semistructured data
02.05-solutions for semistructured data on azure
02.06-features of unstructured data
02.07-solutions for unstructured data on azure
03.01-unstructured data and azure storage
03.02-considerations for data redundancy and azure storage
03.03-authorizing access to data in azure storage
03.04-network security options for azure storage
03.05-encryption and secure data transfer for azure storage
03.06-access tiers and rehydration for blobs in azure storage
03.07-lifecycle management for blobs in azure storage
03.08-data protection for blobs in azure storage
03.09-immutable storage for blobs in azure storage
03.10-considerations for azure files
04.01-introduction to azure sql db and azure sql managed instance (mi)
04.02-purchasing models for azure sql db and sql mi
04.03-azure sql db and sql mi service tiers
04.04-managing pre-provisioned compute for azure sql db and sql mi
04.05-serverless and hyperscale compute tier for azure sql db
04.06-scaling options for azure sql db and sql mi
04.07-encryption at rest and in transit on azure sql db and sql mi
04.08-always encrypted for azure sql db and sql mi
04.09-dynamic data masking for azure sql db and sql mi
04.10-data discovery classification and audit for azure sql db and sql mi
04.11-high availability and business continuity for azure sql db and sql mi
04.12-performance monitoring and tuning for azure sql db and sql mi
04.13-iaas for relational data with azure sql vm
04.14-azure sql vm agent for sql on azure vms
04.15-azure sql at the edge
05.01-introduction to cosmos db and azure tables
05.02-the elements of azure cosmos db and choosing an api
05.03-understanding options for azure cosmos db consistency model
05.04-capacity management for azure cosmos db
05.05-partitioning data in azure cosmos db
06.01-considerations for data integration
06.02-design storage for big data analytics
06.03-design for etlelt and data orchestration
06.04-design for sql analysis data warehousing and integrated bi
06.05-design for stream processing data science and ml
07.01-learning more about azure data storage
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