Azure Solutions Architect Expert (AZ-305) Cert Prep: Design Data Storage Solutions
Focused View
Nicole Stevens
4:31:47
244 View
01 - Data storage in Azure.mp4
01:03
02 - What you should know.mp4
03:04
01 - Understanding types of data.mp4
04:37
02 - Features of relational data.mp4
05:50
03 - Solutions for relational data on Azure.mp4
04:34
04 - Features of semistructured data.mp4
05:07
05 - Solutions for semistructured data on Azure.mp4
03:02
06 - Features of unstructured data.mp4
03:15
07 - Solutions for unstructured data on Azure.mp4
05:46
01 - Unstructured data and Azure Storage.mp4
04:04
02 - Considerations for data redundancy and Azure Storage.mp4
09:32
03 - Authorizing access to data in Azure Storage.mp4
17:04
04 - Network security options for Azure Storage.mp4
11:08
05 - Encryption and secure data transfer for Azure Storage.mp4
09:43
06 - Access tiers and rehydration for Blobs in Azure Storage.mp4
09:39
07 - Lifecycle management for Blobs in Azure Storage.mp4
09:29
08 - Data protection for Blobs in Azure Storage.mp4
06:33
09 - Immutable storage for Blobs in Azure Storage.mp4
09:33
10 - Considerations for Azure Files.mp4
08:41
01 - Introduction to Azure SQL DB and Azure SQL Managed Instance (MI).mp4
04:38
02 - Purchasing models for Azure SQL DB and SQL MI.mp4
05:45
03 - Azure SQL DB and SQL MI service tiers.mp4
05:15
04 - Managing pre-provisioned compute for Azure SQL DB and SQL MI.mp4
09:08
05 - Serverless and Hyperscale compute tier for Azure SQL DB.mp4
04:27
06 - Scaling options for Azure SQL DB and SQL MI.mp4
05:47
07 - Encryption at rest and in transit on Azure SQL DB and SQL MI.mp4
06:43
08 - Always Encrypted for Azure SQL DB and SQL MI.mp4
06:59
09 - Dynamic data masking for Azure SQL DB and SQL MI.mp4
04:59
10 - Data discovery, classification, and audit for Azure SQL DB and SQL MI.mp4
06:08
11 - High availability and business continuity for Azure SQL DB and SQL MI.mp4
10:00
12 - Performance monitoring and tuning for Azure SQL DB and SQL MI.mp4
05:11
13 - IaaS for relational data with Azure SQL VM.mp4
07:23
14 - Azure SQL VM Agent for SQL on Azure VMs.mp4
05:53
15 - Azure SQL at the edge.mp4
02:45
01 - Introduction to Cosmos DB and Azure Tables.mp4
08:58
02 - The elements of Azure Cosmos DB and choosing an API.mp4
03:35
03 - Understanding options for Azure Cosmos DB consistency model.mp4
05:17
04 - Capacity management for Azure Cosmos DB.mp4
08:08
05 - Partitioning data in Azure Cosmos DB.mp4
01:51
01 - Considerations for data integration.mp4
02:29
02 - Design storage for big data analytics.mp4
03:13
03 - Design for ETLELT and data orchestration.mp4
03:52
04 - Design for SQL Analysis, data warehousing, and integrated BI.mp4
03:00
05 - Design for stream processing, data science, and ML.mp4
05:21
01 - Learning more about Azure data storage.mp4
03:18
Description
Are you preparing for the Azure Solutions Architect AZ-305 examination? In this course, instructor Nicole Stevens helps you master the skills and knowledge you need to pass the exam domain focused on designing data storage solutions. Nicole goes over data storage in Azure, then dives into what you need to know to make effective recommendations on data storage solutions. She steps you through designing for unstructured data in Azure and deep dives into everything you need to know about designing for structured relational data and semistructured data in Azure. Nicole covers design considerations for data integration, orchestration, warehousing, and more. Plus, she points you toward additional learning resources on Azure data storage, including tutorials and documentation.
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Nicole Stevens
Instructor's CoursesAn experienced Technical Lead and Solution Architect with extensive cloud, infrastructure and application design expertise in delivering quality software products for multiple verticals including Healthcare, Pharmaceutical, Civil Nuclear and Manufacturing.
An engineer at heart, coupled with an enquiring mind and a strong background in troubleshooting has enabled me to develop a methodical approach in analysing complex problems and delivering innovative solutions. The rapid evolution of cloud computing has added a further dimension to this skillset and am thriving on the challenge of implementing cloud patterns and practices in ever-changing, fast-paced environments. This has fuelled my appetite for learning where I have looked to gain certifications to help keep up to date and use as a springboard for new ideas. These include Azure Solutions Architect, Azure DevOps Engineer Expert, Azure Administrator and Administering Relational Databases on Azure.
A pragmatic and approachable leader with a demonstrable history in building adaptable, delivery-focused, multi-functional teams from the ground up. Training and mentoring is something I very much enjoy, sharing knowledge gained from over twenty years in software and helping others identify how to leverage and build on their unique strengths. Was asked to formalise this as a co-author on two Azure Architecture books for Microsoft Press, and now relishing the opportunity of taking this further with future content around DevOps practices and processes.
Specialities : Azure, Azure DevOps, Git, Docker, IaC, Microsoft 365, SQL Server (7 through 2019), MySQL, PostgreSQL, Oracle (7.2 through 19), Linux, Unix, Windows Server, Hyper-V, WSL, data engineering, ETTL
Developing skills : Ansible, GitHub actions and security, Python for data engineering, Amazon Redshift.
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- language english
- Training sessions 45
- duration 4:31:47
- Release Date 2022/12/28
