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PaaSport to Paradise

Lifting and Shifting with Azure SQL Database + SSIS in Azure Data Factory

Microsoft Ignite 2019 | PaaSport to Paradise: Lifting and Shifting with Azure SQL Database + SSIS in Azure Data Factory | Sandy Winarko

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Microsoft Ignite 2019 | PaaSport to Paradise: Lifting and Shifting with Azure SQL Database + SSIS in Azure Data Factory | Sandy Winarko

This session focuses on the all PaaS solution of Azure SQL DB/Managed Instance (MI) + SSIS in Azure Data Factory (ADF) to lift and shift, modernize, and extend ETL workflows. We first show you how to provision Azure-SSIS Integration Runtime (IR) – dedicated ADF servers for running SSIS – with SSIS catalog (SSISDB) hosted by Azure SQL DB/MI, configure it to access data on premises using Windows authentication and virtual network injection/self-hosted IR as a proxy, and extend it with custom/open source/third-party components. We next show you how to use the familiar SSDT/SSMS tools to design/test/deploy/execute your SSIS packages in the cloud just like you do on premises. Finally, we show you how to modernize your ETL workflows by invoking/scheduling SSIS package executions as first-class activities in ADF pipelines and combining/chaining them with other activities, allowing you to trigger your pipeline runs by events, automatically (de)provision SSIS IR just in time, etc.

This course is no longer available. Find a similar course by searching these:
azure sql database ssis etl azure data factory data warehousing cloud migration

What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers multiple approaches to integrating Azure SQL Database and SSIS in Azure Data Factory, providing flexibility for ETL workflows
Provides guidance on using familiar SSDT/SSMS tools for designing and deploying SSIS packages in the cloud, easing the transition for experienced users
Demonstrates how to combine SSIS package executions with other Azure Data Factory activities to create automated and efficient data pipelines
Taught by Sandy Winarko, a recognized expert in Azure Data Integration and SQL Server

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Career center

Learners who complete PaaSport to Paradise: Lifting and Shifting with Azure SQL Database + SSIS in Azure Data Factory will develop knowledge and skills that may be useful to these careers:
ETL Developer
An ETL Developer extracts, transforms, and loads data from one system to another. This course can help you become an ETL Developer because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in ETL development and prepare you for a successful career in this field.
See salaries and explore the career path for ETL Developer
Data Architect
A Data Architect designs and builds the data infrastructure that supports an organization's business needs. This course can help you become a Data Architect because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in data architecture and prepare you for a successful career in this field.
See salaries and explore the career path for Data Architect
Data Engineer
A Data Engineer builds and maintains the infrastructure that allows a company to store, organize, and access its data. This course can help you become a Data Engineer because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in data engineering and prepare you for a successful career in this field.
See salaries and explore the career path for Data Engineer
Database Administrator
A Database Administrator manages and maintains databases. This course can help you become a Database Administrator because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in database administration and prepare you for a successful career in this field.
See salaries and explore the career path for Database Administrator
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud-based applications and infrastructure. This course can help you become a Cloud Engineer because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in cloud engineering and prepare you for a successful career in this field.
See salaries and explore the career path for Cloud Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course can help you become a Software Engineer because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in software engineering and prepare you for a successful career in this field.
See salaries and explore the career path for Software Engineer
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make better decisions. This course can help you become a Data Analyst because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in data analysis and prepare you for a successful career in this field.
See salaries and explore the career path for Data Analyst
Business Intelligence Analyst
A Business Intelligence Analyst uses data to identify trends and patterns that can help businesses make better decisions. This course can help you become a Business Intelligence Analyst because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in business intelligence and prepare you for a successful career in this field.
See salaries and explore the career path for Business Intelligence Analyst
Data Scientist
A Data Scientist uses data to solve business problems. This course can help you become a Data Scientist because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in data science and prepare you for a successful career in this field.
See salaries and explore the career path for Data Scientist
DevOps Engineer
A DevOps Engineer automates and integrates the software development and operations processes. This course may be useful for you if you want to become a DevOps Engineer because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in DevOps and prepare you for a successful career in this field.
See salaries and explore the career path for DevOps Engineer
Security Engineer
A Security Engineer protects an organization's data and systems from cyberattacks. This course may be useful for you if you want to become a Security Engineer because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in security engineering and prepare you for a successful career in this field.
See salaries and explore the career path for Security Engineer
Data Warehouse Engineer
A Data Warehouse Engineer designs and builds data warehouses. This course may be useful for you if you want to become a Data Warehouse Engineer because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in data warehousing and prepare you for a successful career in this field.
See salaries and explore the career path for Data Warehouse Engineer
Database Architect
A Database Architect designs and builds database systems. This course may be useful for you if you want to become a Database Architect because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in database architecture and prepare you for a successful career in this field.
See salaries and explore the career path for Database Architect
Machine Learning Engineer
A Machine Learning Engineer designs and builds machine learning models. This course may be useful for you if you want to become a Machine Learning Engineer because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in machine learning and prepare you for a successful career in this field.
See salaries and explore the career path for Machine Learning Engineer
IT Manager
An IT Manager plans and manages an organization's IT infrastructure. This course may be useful for you if you want to become an IT Manager because it teaches you how to use Azure SQL Database and SSIS in Azure Data Factory to lift and shift, modernize, and extend ETL workflows. This course can help you build a foundation in IT management and prepare you for a successful career in this field.
See salaries and explore the career path for IT Manager

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Course image
Time
47 hours
Level
Advanced
Via
Pluralsight
Language
English
This course belongs to a collection called Microsoft Ignite 2019: Breakouts. It's comprised of 69 courses:
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  4. Manage Your End-to-end Machine Learning Lifecycle with MLOps
  5. Getting Your Data Ready to Train Computer Vision Models Using Azure Machine Learning
  6. A Deep-dive into Conversational AI using Azure Bot Service and Cognitive Services
  7. Enterprise AI Scenarios for Speech, Technical Edition
  8. Understanding AI Enabled Search for Your Apps: Azure Search Technical Edition
  9. Building Industrial Autonomous Systems with Reinforcement Learning
  10. Increase Your .NET Productivity with Visual Studio and Visual Studio for Mac
  11. Cloud Native Applications with .NET Core and Azure Kubernetes Service
  12. Create Amazing Web Apps with ASP.NET Core
  13. Debugging Tips and Tricks in Visual Studio 2019
  14. Visual Studio Online: A Look at the Future of Developer Productivity and Collaboration
  15. Linux based Web App Development Made Easy on App Service
  16. APIs and Digital Transformation: Growing Your Business with Connected Ecosystems
  17. .NET Platform Overview and Roadmap
  18. Java on Azure: Building Spring Boot Microservices
  19. What’s New in Security for Azure SQL
  20. Raising the Bar Again for Azure SQL Database with Centrally Managed Encryption
  21. Understanding the Latest Updates in Azure Cosmos DB API for Mongo DB and Best Practices
  22. Data Modelling and Partitioning in Azure Cosmos DB: What Every Relational Database User Needs to Know
  23. Building Event Driven Apps with Azure Cosmos DB and Azure Functions
  24. A Developer's Guide to Azure Cosmos DB, from Onboarding to Going Live in Production
  25. Migrate or Build Internet-scale Applications Using MySQL
  26. Mission Critical Performance with SQL Server 2019
  27. SQL Server 2019 Big Data Clusters: Architecture, Deployment, and Security
  28. SQL Server 2019 on Containers and Kubernetes
  29. Best, Better, Hyperscale: The Last Database You Will Ever Need in the Cloud
  30. Gaining Business Insights with Open Source Analytics on Azure HDInsight: Patterns and Best Practices
  31. Migrating Your Mission-Critical Data Warehouse to Azure Synapse Analytics
  32. Deep Dive with Data Migration Tools and Azure Database Migration Service
  33. PaaSport to Paradise: Lifting and Shifting with Azure SQL Database + SSIS in Azure Data Factory (viewing)
  34. Learn Why SAP Customers with Leading Brands and Large Mission Critical Landscapes Are Migrating Their SAP to Azure
  35. Driving Retail and Manufacturing Industry Transformation with SAP on Azure
  36. Lessons Learned Migrating SAP Applications to Azure: Customers and Partners
  37. Make the Most of Azure to Reduce Your Cloud Spend
  38. Oracle on Azure Overview
  39. What's New in Azure Networking
  40. Get Your Organization Ready for Your Azure Journey
  41. Introducing Azure Arc
  42. End to End Security for IoT
  43. Best Practices and Lessons Learned from Securely Operating Microsoft Azure Stack
  44. PowerShell Unplugged with Jeffrey Snover and Jason Helmick
  45. Learn How to Run Network-attached Storage Workflows in Azure
  46. Use GPU VMs to Power Remote Graphics and Visualization in the Cloud
  47. Modernize Your Retail Stores or Branch Offices with Azure Stack HCI
  48. Jumpstart Your Azure Stack HCI Deployment
  49. Building High-value Integrated Data Center Solutions for Microsoft Azure Stack
  50. Customizing Images Made Easy for Windows & Linux on Azure with Azure Image Builder Service and Shared Image Gallery
  51. Global Transit Network Architectures with Azure Virtual WAN
  52. Windows Admin Center: Unlock Azure Hybrid Value
  53. Delivering Services Privately in Your VNet with Azure Private Link
  54. Virtual Machine Manager 2019 and Data Protection Manager 2019: Customer Success Stories and What’s Next
  55. Azure Automation for Managing Servers across Your Environment
  56. PowerShell 7
  57. Automate and Manage Your Windows Server Environment Using Azure Management Services
  58. Architecting SAP Landscapes with Demanding Performance Requirements on Azure
  59. Seamless Connectivity to Azure with Windows Server and Hybrid Networking
  60. Files Are Critical to Your Business: Modernize Your File Services with Windows Server 2019 and Azure
  61. Bringing File Services into the 2020s: Migrate SMB and NFS File Shares to the Cloud with Azure Files and Sync
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  63. Use Serverless Technologies to Manage Your IT Resources
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  65. Leverage the Cloud to Strengthen Your On-premises Active Directory Security
  66. Optimize Price-performance and Lower TCO for Your Workloads with the Next-gen Azure Disks
  67. Creating Impact Today with Microsoft Quantum
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  69. Driving Growth and Transformation with Microsoft IoT
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Covers multiple approaches to integrating Azure SQL Database and SSIS in Azure Data Factory, providing flexibility for ETL workflows
Provides guidance on using familiar SSDT/SSMS tools for designing and deploying SSIS packages in the cloud, easing the transition for experienced users
Demonstrates how to combine SSIS package executions with other Azure Data Factory activities to create automated and efficient data pipelines
Taught by Sandy Winarko, a recognized expert in Azure Data Integration and SQL Server
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