1. Introduction.- 2. Azure SQL Kickstart.- 3. Connecting and Querying Azure SQL.- 4. Developing with Azure SQL - Foundations .- 5. Developing with Azure SQL - Advanced.- 6. Practical Use of Tables and Indexes.- 7. Scalability, Consistency, and Performance.- 8. Multi-model Capabilities.- 9. More Than Tables.- 10. Monitoring and Debugging.- 11. DevOps with Azure SQL.
Davide Mauri is Program Manager in the Azure SQL Database
product group. He has been working in the IT field since 1997 and
was awarded Data Platform MVP status for 12 consecutive years. He
started his career as a full-stack and back-end developer, then
focused on databases and data science for 15 years while still
keeping alive his passion for development (mainly in C# and
Python). He then moved to the Internet of Things (IoT) and big data
space where ingesting, processing, and analyzing millions of data
points in near real time was his everyday challenge. Building from
that experience, he joined Microsoft to help companies worldwide to
leverage stream processing at scale. He now works for Azure SQL
Database as the developer's voice inside the product group,
working to make sure that Azure SQL Database is, and will be, the
best database option for developers.
Silvano Coriani has worked on SQL and other data
technologies more than 25 years. He started as an embedded systems
developer in industrial automation and moved to data acquisition,
processing, and analysis in distributed solutions. He has worked on
several RDBMS engines (SQL Server 6.0 and later releases, Oracle,
IBM DB2, and more recently PostgreSQL), and on NoSQL and other
analytical engines such as Spark and Hadoop. He also has experience
in C/C++, Visual Basic, Java, and .NET. He has worked in
several industries, including manufacturing, retail, and financial
services. Since joining Microsoft in 2003, he has been busy helping
ISVs and enterprise customers to learn and adopt Microsoft
technologies. His experience includes being Developer Evangelist,
Software Engineer in the SQL Customer Advisory Team, and most
recently working in SQL Customer Success Engineering for the Azure
Data team. He is also an active speaker at industry conferences
such as PASS Summit and Microsoft Ignite.
Anna Hoffman is Data & Applied Scientist on the Azure Data
team at Microsoft. She has worked in Microsoft Research, AI
Engineering, and Microsoft Services in her time at Microsoft. She
spent several years working on .NET, Python, R, and Java, to
democratize AI via tools and services such as Azure Cognitive
Services, Azure Machine Learning, and SQL Server (Machine Learning
Services and Big Data Clusters). She now spends most of her time
working on the Azure SQL Database product team and participating in
the community. She has an undergraduate engineering degree from
Georgia Institute of Technology, and she is wrapping up a Master of
Science in analytics, also at Georgia Institute of Technology (he
is always learning). You can follow her on Twitter at
@AnalyticAnna.
Sanjay Mishra is Product Leader in Microsoft Azure Data. He
leads product management for the Azure SQL Database team, which
includes products such as Azure SQL DB, SQL Hyperscale, Elastic
Pools. Prior to this role, he served as Technical Advisor to the VP
of Azure Data PM, and led the eminent SQLCAT and DataCAT teams.
Jovan Popovic is Senior Program Manager working on Microsoft
SQL Server, Azure SQL Database, and Azure Synapse Analytics. He is
working in Microsoft Development Center Serbia as Program Manager
on several developer-facing SQL Server/Azure SQL features such as
T-SQL language enhancements, JSON/temporal support,
columnstore/in-memory technologies, and built-in intelligence. He
has more than 15 years of experience in various Microsoft
technologies with a focus on SQL Server, Azure, ASP.NET, C#, and
JavaScript. He has been working in various Microsoft Data Platform
teams since 2012. He is a former Microsoft MVP for ASP.NET and has
a PhD degree in software engineering from the University of
Belgrade. He is am public speaker at top Microsoft conferences, and
is author of several books and open-source projects. He enjoys
exploring technologies (especially SQL Server capabilities) and
finding the best ways to implement the most efficient solutions
using them.
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