Modern Data Platform Part 1: Data Ingestion
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The document describes Azure Data Factory (ADF) as a fully-managed data integration service in the cloud that allows for hybrid data movement and orchestration of data pipelines wherever data lives. ADF enables connecting to various data sources, transforming and enriching data, and publishing data while meeting security and compliance needs. It provides integration runtimes including Azure, Azure-SSIS, and self-hosted to execute SQL Server Integration Services packages and provide data integration capabilities across cloud and on-premises environments.
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Modern Data Platform Part 1: Data Ingestion
- 1. January 2019
- 2. TrustedProductive IntelligentHybrid Azure. Cloud for all.
- 3. Trusted Intelligent Hybrid Productive HIPAA / HITECH Act FERPAGxP 21 CFR Part 11 ISO 27001 SOC 1 Type 2ISO 27018 CSA STAR Self-Assessment Singapore MTCS UK G-Cloud Australia IRAP/CCSL FISC Japan New Zealand GCIO China GB 18030 EU Model Clauses ENISA IAF Argentina PDPA Japan CS Mark Gold CDSA Shared Assessments Japan My Number Act FACT UK GLBA Spain ENS PCI DSS Level 1 MARS-E FFIEC China TRUCS SOC 2 Type 2 SOC 3 Canada Privacy Laws MPAA Privacy Shield ISO 22301 India MeitY Germany IT Grundschutz workbook Spain DPA CSA STAR Certification CSA STAR Attestation HITRUST IG Toolkit UK China DJCP ISO 27017 GLOBALINDUSTRYREGIONAL More certifications than any cloud provider
- 5. © Microsoft Corporation Open Source Support Applications Infrastructure Management Databases & middleware App frameworks & tools DevOps
- 7. L A M B D A A R C H I T E C T U R E
- 8. M I C R O S O F T B I G D A T A B U I L D I N G B L O C K S Intelligence Dashboards & Visualizations Big Data Stores Machine Learning and Analytics Event Hubs HDInsight (Hadoop and Spark) Stream Analytics Data Intelligence Action People Automated Systems Apps Web Mobile Bots Bot Framework Azure SQL Data Warehouse Data Factory Machine Learning Data Lake Store Cognitive Services Power BI Data Sources Apps Sensors and devices Data Information Management Azure SQL DB Azure Databricks IoT Hub
- 10. Data orchestration As-a-service Security and compliance Fully-managed data integration service in the cloud A Z U R E D ATA F A C T O R Y Hybrid Data movement Data integration Flexible
- 11. Modernize your data warehouse with Azure big data and advanced analytics services such as HDInsight and Data lake Analytics Build custom data-driven SaaS applications unique to your customer data using your language of choice Bring together all your sources of data to understand your customers and drive impactful business decisions Flexible Data integration
- 12. Orchestrate your data pipeline wherever your data lives – in cloud or in self-hosted environment Meet your security and compliance needs while taking advantage of truly hybrid integration capabilities Execute your SQL Server Integration Services (SSIS) packages in the cloud Hybrid Data orchestration
- 13. Accelerate integration with managed data movement as-a-service 30+ natively supported connectors across 18 global points of presence Elastic data movement at scale Serverless data movement with no infrastructure to manage Data movement As-a-service
- 14. HYBRID DATA INTEGRATION AT SCALE Any BI tool Advanced Analytics Any language Data Processing & MovementRelational data Dashboards | Reporting Mobile BI | Cubes Machine Learning Stream analytics Cognitive | AI .NET | Java | R | Python Ruby | PHP | Scala Non-relational data OLTP ERP CRM LOB Social media DevicesWeb Media CLOUD ON-PREMISE V-NET AZURE DATA FACTORY ORCHESTRATES DATA PIPELINE ACTIVITY WORKFLOW & SCHEDULING
- 15. Azure Data Factory: How Does it Work? Connect & Collect Transform & Enrich Publish Monitor
- 16. Azure Data Factory: Top-Level Concepts
- 17. Azure Data Factory: Top-Level Concepts
- 19. ADF Integration Runtime (IR) ▪ Integration Runtime is the compute infrastructure used by ADF to provide data integration capabilities such as: ▪ Activity dispatch & monitoring ▪ Data movement ▪ SSIS package execution ▪ Integration Runtime Types: ▪ Azure ▪ Azure-SSIS ▪ Self-Hosted ▪ IR provides a consistent provision and monitoring experience across the network environments Portal Application & SDK Azure Data Factory Service Data Movement & Activity Dispatch on-prem, Cloud, VNET Data Movement & Activity Dispatch In Azure Public Network, SSIS VNET coming soon Self-Hosted IR Azure IR
- 21. SSIS as an Integration Runtime Execute/Manage Provision SSDT SSMS Cloud On-Premises SSIS Server Azure Data Factory V2 HDI ML Provision SSIS IR via Data Factory Use SQL Server Data Tools (SSDT) to author/deploy SSIS packages Use SQL Server Management Studio (SSMS) to execute/manage SSIS packages For those who want to move all/part of their on-premises workloads and “lift & shift” existing packages to Azure SSIS IR on ADF compute resource
- 24. Execute SSIS Packages Using Azure SSIS IR
- 26. Hybrid Data Integration Pattern 1 Analyze blog comments Azure SQL Database SQL Server (on-premises) Data Management Gateway Req’d for ADF Azure Data Factory Capture blog comments via API Drop into Blob Store Copy & lookup Power BI Dashboard Visualize and analyze Transform via SPROC (ELT) Transform via Dataflow (ETL)
- 27. Hybrid Data Integration Pattern 2 Data-Driven SaaS App: Sentiment Analysis w/Machine Learning Azure Data Factory Custom App Blob Storage Azure Functions
- 29. ADF Resources Integration Runtime in Azure Data Factory Provision the Azure-SSIS Integration Runtime in ADF Create and Configure a Self-Hosted Integration Runtime Azure Data Factory V2 Data Flow Incremental/Delta Data Copy in ADF Branching and Chaining Activities in an ADF Pipeline Run an SSIS Package in ADF with the “Execute SSIS Package” Activity Deploy an SSIS Package to an Azure SQL DB from SSMS Azure Data Factory Pricing