Azure Data Services
Andre Melancia,
Damian Widera
The clouds are now the main repository of data and processing worldwide, far exceeding on-premises infrastructure. Microsoft Azure, AWS, Google Cloud and other clouds have services for data storage and processing that companies should use. This interactive workshop, mostly demo-driven, will introduce you to the most relevant Azure data services.
Attendees that want to try the examples during the workshop need to have:
• Laptop;
• Have an Azure subscription (e.g. set up a free trial at https://azure.com/free , use an Azure Pass free trial, or use a paid subscription);
• For SQL examples have either SQL Server Management Studio or Azure Data Studio installed
(https://learn.microsoft.com/en-us/sql/ssms/download-sql-server-management-studio-ssms );
• Example data files will be provided during the workshop.
Target audience: Database Administrators, Developers, Data Scientists, System Administrators
Pre-requisites: Knowledge of SQL and programming.
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Total Duration: 4 hours.
2023 June 22
Kyiv 5PM-9PM
London 3PM-7PM
San Francisco 7AM-11AM
Modulus:
Service Name
1
Setting up a free trial.
Service Name
2
Basics of Azure (focusing on data).
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3
Data Storage:
- Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure VMs;
- Azure Database for MySQL, Azure Database for MariaDB, Azure Database for PostgreSQL;
- Storage/DataLake accounts;
- Cosmos DB and other NoSQL storage services;
- Other data storage services in Azure (such as Oracle marketplace products).
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4
ETL/ELT/ML/AI:
- Azure Synapse Analytics, Azure Data Factory, Azure Machine Learning, Azure Databricks, Azure HDInsight, and others;
- Cognitive Services, Azure Bots, and other AI/ML services;
- Azure Stream Analytics (e.g. for IoT), Azure Functions and Azure Logic Apps (focusing on data processing);
- Other transformation, importing/exporting and data handling services.
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5
Working better together:
- Integration examples between these services;
- Discussion of Azure/Hybrid/M365 architectures.
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6
Final Q&A.
