Ensure Optimal Transition From Data Export Service To Azure Synapse .

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Dynamics 365 Data Export Service Deprecation PlaybookEnsure optimal transition from Data Export Service to Azure Synapse Link for DataverseFastTrack for Dynamics 365 Apps

THE SITUATION Data Export Service (DES)will retire by end ofNovember 2022.All existing implementationusing DES needs totransition to either AzureSynapse Link for Dataverseor another pattern suitablefor the business need.PURPOSEData Export Service (DES) was originally built to support the use cases of Operational or Enterprise BI reporting, orbuild a staging area for data warehouse, or build machine learning models on the Analytical data by replicating datafrom Dataverse into Azure SQL Database/ Azure SQL VM.With the announcement of Azure Synapse Analytics that remove the barriers between data warehousing and big dataanalytics, we deprecated DES and built Azure Synapse Link for Dataverse to accelerate the time-to-insights betweenbusiness applications data and analytical systems. This service is built for seamless integration with the latest analyticaltechnologies such as Azure Data Lake Storage, Azure Synapse, Power BI etc.In this playbook, we talk about what it takes to transition from DES to Azure Synapse Link. We also discuss some of thearchitectural patterns and customer scenarios that help you take right decisions to transition out of DES.Audiences:Customer Solution ArchitectsPartner Solution ArchitectsIn summary, this guide will help you with:Awareness of challenges for IT.Understanding of tools and techniques that would ensure an optimaltransition.INSIDE THIS PLAYBOOK:Chapter 1:INITIALIZATIONChapter 2:PLANNINGChapter 3:ADOPTIONAppendixWhat is ASL forDataverse?Assess existingDES usageImplementationAvailableResourcesWhat is thefeature set?Plan for atransitionMonitoringDES* Data Export ServiceSynapse Link* Azure Synapse Link for Dataverse2

Chapter 1InitializationWhat is Azure Synapse Link forDataverse? Azure Synapse Link for Dataverseenables you to get near real-timeinsights on your data in MicrosoftDataverse.Why transition from DES to AzureSynapse Link? DES technology has beenannounced to be deprecated. End of support is November2022.What’s new with Azure SynapseLink for Dataverse? Intuitive UI provides a frictionlessexperience in enabling datapipeline and democratizingDataverse data. CDM Metadata updates availableacross all Synapse computes. Accelerate time to insights viabuilt-in capabilities for dataingestion. Create enterprise scale Power BIreports on Dataverse data. Solution aware throughDataverse solution deployment.ResourcesChapter 2PlanningAssess Existing DES UsageScenarios Understand why DES is used toeffectively transition to ASLwithout disruption. Explore sample transitionscenarios to effectively plantarget state architecture.Plan for a Transition Assess business impact Define Scope Define dependencies Defining ownerships User communications Testing Strategy Cut-over and go-live Strategy Pilot the transitionChapter 3AdoptionImplementation Setup your Azure SynapseWorkspace and Data LakeStorage Gen2. Configure the Azure Synapse Linkin the Power Apps Maker Portal. Implement integrations to syncthe data from Azure SynapseAnalytics to your pre-existingdata warehousing solution. Pilot the implementation with afew tables to ensure that end-toend scenarios are working. Migrate your integrationscenarios to Azure SynapseAnalytics. Test your end-to-end integrationscenarios. Deprecate the Data Export ServiceProfile.Monitoring Ensure all the tables havecompleted syncing and there areno failure notifications. Transfer any existing externalmonitoring on DES to AzureSynapse Link for Dataverse.ResourcesResources

Chapter 1: Initialization

Chapter 1: INITIALIZATIONWhat is Azure Synapse Link for Dataverse?What is Azure Synapse Link for Dataverse?With a few clicks, bring Dataverse data to Azure Synapse Analytics and enable limitless analytics.Data is the new oil; when collated, analyzed, and connected with relevant data efficiently,you can unfold insights that drive business decisions for tomorrow. More and morecustomers using Dynamics 365 and modern business applications are generating massiveamounts of business data that is securely stored and managed by Dataverse.To further empower our customer’s digital transformation journey, there is a need todemocratize this data, provide the necessary tooling, and create end-to-end way to workwith data in Dataverse that can also scale to the needs of our Enterprise customers.Azure Synapse Link for Dataverse is the fastest path to success for our customers whowant to run artificial intelligence and machine learning, integrate with external dataset,and slice and dice large volumes of Dataverse data.Azure Synapse Link for Dataverse enables seamless integration of Dataverse with AzureSynapse and empowers customers to analyze data in the lake. Enterprise customers arenow able to use the familiarity of T-SQL to analyze big data and gain insights from it,while optimizing their data transformation pipeline to leverage the deep integration ofAzure Synapse with other Azure services such as Power BI Embedded, Azure Cosmos DB,Azure Machine Learning, and Azure Cognitive Services.5

Chapter 1: INITIALIZATIONVision Statement – Aligning to the RoadmapOur VisionTruly democratize Dataverse data and enable advanced analytics to accelerate time to insights.In conversations with the community, many have asked for a single, end-to-end way to workwith data in Microsoft Dataverse, run AI and machine learning, integrate with externaldatasets, and slice and dice large volumes of Dataverse data.Now, instead of using multiple tools to get the job done, you can accelerate time to insight with asingle comprehensive solution that can help you deliver on these goals end-to-end; something thatis built-in and available out-of-the-box

Chapter 1: INITIALIZATIONWhy move to Azure Synapse Link for Dataverse?Currently Released FeaturesTransitionto Azure Synapse Link for Dataverse to leverage exciting new features.“Do more than just movingdata to a data store”Azure Synapse Link for Dataverse trulydemocratizes your Dataverse data andenables you to run advanced analytics toderive deep insights on your businessdata! Integrated with Power Apps maker portal Easily link Dataverse environment to Azure SynapseAnalytics workspace Continuous replication of standard and customtables to Azure Synapse Analytics One-click bridge to Azure Synapse Analyticsworkspace CDM Metadata updates available across all Synapsecomputes Ready to run Synapse Serverless SQL queryexperience Ready to run Synapse Apache Spark experience Ready to run Synapse Pipelines experience Solution aware which enables seamless ALM Cost effective7

Chapter 1: INITIALIZATIONAzure Synapse Link for Dataverse FeaturesIntuitive UI provides a frictionless experience in enabling data pipeline anddemocratizing Dataverse data.Integrated with PowerPlatform Maker PortalEasily link Dataverseenvironment to AzureSynapse Analyticsworkspace

Azure SynapseLink for DataverseChapter1: INITIALIZATIONAzure Synapse Link for Dataverse FeaturesIntuitive UI provides a frictionless experience in enabling data pipeline anddemocratizing Dataverse data.Continuous replicationof Standard andCustom Dataversetables to AzureSynapse Analytics

Azure SynapseLink for DataverseChapter1: INITIALIZATIONAzure Synapse Link for Dataverse FeaturesIntuitive UI provides a frictionless experience in enabling data pipeline anddemocratizing Dataverse data.One-click bridge toAzure Synapse Analyticsworkspace

Azure SynapseLink for DataverseChapter1: INITIALIZATIONAzure Synapse Link for Dataverse FeaturesAccelerate time to insights via built-in capabilities for data ingestion, datapreparation, and machine learning.Ready-to-run SynapseServerless SQL queryexperience

Azure SynapseLink for DataverseChapter1: INITIALIZATIONAzure Synapse Link for Dataverse FeaturesAccelerate time to insights via built-in capabilities for data ingestion, datapreparation, and machine learning.Ready-to-run SynapseApache Spark experience

Azure SynapseLink for DataverseChapter1: INITIALIZATIONAzure Synapse Link for Dataverse FeaturesAccelerate time to insights via built-in capabilities for data ingestion, datapreparation, and machine learning.Ready-to-run SynapsePipelines experience

Azure SynapseLink for DataverseChapter1: INITIALIZATIONLimitless analytics at incredible value.380% faster and costsup to 49% less thanother cloud providersAzure Synapse Link for Dataverse Features

Chapter 1: pseLinkAzure SynapseLinkforthroughDataverseData FlowAzure Synapse Link for DataverseData ProducersData ConsumersAzure Data LakeGen 2Dynamics AppsPower BIContinuously export data andmetadataAzureDatabricksORModern Business AppsInitial IncrementalSynapseSQL queryDataverseAzure DataFactorySynapseApacheSparkAzure SynapseAnalyticsExternal dataSynapsePipelinesAzure MachineLearningAzure Synapse Link for Dataverse16

Chapter 1: INITIALIZATIONConsume Dataverse DataAzure Synapse Link for Dataverse Architecture DiagramAzure Data Lake StorageDataMetadataDataverse

Chapter 1: LinkAzure SynapseLink derstand the availability and reliability of Synapse Link.18

Chapter 1: INFORMINITIALIZATIONDemocratizing Dataverse data throughSynapseLinkLicensingModelHigh level overview of cost for using Azure Synapse Link for Dataverse.herehere19

Chapter 2: Planning

Chapter 2: PLANNINGApproaching a TransitionAssess Existing Data Export Service ScenariosConsiderationsBefore transitioning to AzureSynapse Link for Dataverse, it isimportant to understand thecurrent usage patterns of DataExport Service, so that you caneffectively plan to move to AzureSynapse Link for Dataverse.The following sample questions willhelp you identify key risk areas inthe data consumption scenariosand align to the new transitionpoints.Please refer to the ‘Anti-Patterns’ section in Appendix forusage scenarios where neither DES nor Azure SynapseLink are recommended.What are the key business requirements for Data Export Service?Having a clear understanding of the data use cases will help you understand the keypurposes of using DES and how to transition to Azure Synapse Link for Dataverse. Forexample, a scenario can be for analysis, feeding data to line of business applications,reporting, complex data transformations, or a combination of these.Do you have a high-level architecture diagram of how Data Export Servicedata is consumed from Azure SQL?Having this visualization will help you understand the different components used in DESService and how effectively these components can be transitioned to Azure Synapse Linkfor Dataverse.When using Azure SQL, are there any SQL Stored Procedures, functions,or triggers used to transform the exported data in Azure SQL?This will help you understand if there are data transformations happening and how toapproach that Azure Synapse Link for Dataverse. Review the scenarios section for moreguidance.Are there any custom views on the exported data that are being utilizedin Power BI or other consumers?Having the granular information around how the exported data is being consumed helpsyou identify all the points that need transition and reduce failures.Identify all the data consumers and transformations happening on yourexported Dataverse data to align the implementation to Azure Synapse Linkfor Dataverse.21

Chapter 2: PLANNINGPlanning for a TransitionConsiderationsAssessBusinessImpactAt this stage, you have already identifiedthe key scenarios and use cases for DataExport Service. For any transition projectto be successful, there are a few steps thatneed to be followed, and transitioning toAzure Synapse link for Dataverse is noexception.In this section, we will discuss someimportant considerations for a successfultransition to Azure Synapse Link forDataverse.Pilot theTransitionGo-LiveStrategyDefine CommunicationTestingStrategy22

Chapter 2: PLANNINGStep 1Step 2Business Impact, Define ScopeStep 3Step4Step 5Step6Step7Step8Step 1: Assess Business ImpactStep 2: Define ScopeAs you have already identified the key scenarios, it isimportant to understand the business impact of thetransition. Typically, Data Export Service is used to feedDataverse data to downstream analytical systems. Althoughthis is the most common use case, there are scenarios whereexported data is also used for line of business applicationsand as a mode of integration, so unavailability of exporteddata for even a brief period can lead to critical businessimpact across the organization. There are also customerscenarios where Dynamics 365 data needs to be available onpremise on a regular interval to comply with the companycompliance policy.A well-defined project scope should consider all aspects of theproject including, but not limited to, all activities anddeliverables, timeline, budget, resources, and key stakeholders.When you are planning to transition from DES to AzureSynapse link for Dataverse, it is critical to ensure a well-definedscope is in place before starting the transition activities. Wealso recommend assessing the business requirements for usingDES and architect the right pattern while transitioning to AzureSynapse Link for Dataverse.To assess the right business impact, consider the followingwhen planning for a transition: Disruption over sales Violations with compliance Impact on external vendors Impact on other line of business applicationsA well-defined project statement should have the followingparts: Breakdown of all work items Project constraints which can impact the overallsuccess of the project Key milestones Assumptions Key stakeholders Scope elements23

Chapter 2: PLANNINGStep 1Step 2Define Dependencies, Define OwnershipStep 3Step4Step 5Step6Step7Step8Step 3: Define DependenciesStep 4: Define OwnershipA well-defined project plan should clearly identify and list thedependencies which might impact the overall success of theproject. For transitioning to Azure Synapse Link forDataverse, there can be internal dependencies like taskcompletion order, resource availability, or externaldependencies like availability of a specific team (i.e.,reporting team for transitioning the reports). You can identifythe dependencies with such as: Compliance requirements Data governance approvals Architecture patterns for your organization Work requirements for internal teams and vendors Conducting testing ApprovalsA critical criteria for a project to be successful is defining clearownership of the various project elements. For example, thetransition from DES to Azure Synapse Link for Dataverse will becomprised of various project activities: Analysing usage Impacting assessment Defining scope Allocating resources and budget Implementation (internally or with vendors) Testing End user communication Approval decision followed by go-liveThe project plan should include a clear ownership for each ofall the key activities to ensure adequate steps are taken tomitigate any impact towards successful transition.24

Chapter 2: PLANNINGStep 1Step 2Testing Strategy, User CommunicationStep 3Step4Step 5Step6Step7Step8Step 5: Testing StrategyStep 6: User CommunicationTesting the transition to Azure Synapse Link for Dataversefrom DES is essential to the success of its implementation. Itis recommended to create a test strategy in the planningphase. Ideally, the test strategy will provide the blueprint forthe approach to testing and includes the high-level overviewof the plan that will be followed to support the validation ofthe transition.Since you should have already concluded the dependencies,analysed the impact, and determined ownership, it is time tostart drafting the user communication plan to include what,when, and how information will be shared across differentteams and stakeholders.The transition test strategy should include: High-level overview of the plan Different test types required for the transition (i.e., endto-end, SIT, UAT, etc.) Approach for non-functional testing (i.e., performance,availability, and security)The user communication information may include: Regular updates on the progress Major milestones Proposed vs. actual timeline Planned downtime25

Chapter 2: PLANNINGStep 1Step 2Go-Live Strategy, Pilot the TransitionStep 3Step4Step 5Step6Step7Step8Step 7: Go-Live StrategyStep 8: Pilot the TransitionA detailed plan for the go-live should be developed duringthe planning phase for a successful transition. Even though itseems to be the last activity during implementation, many ofthe tasks performed during go-live takes time to prepare andshould be planned during the early implementation stage.An important step in any transition project is performing apilot. Once you have completed all the prerequisiterequirements, defined the scope, obtained business approval,identified the transition scenarios, it is highly recommended toperform a pilot transition.A successful go-live plan should include: Go-live schedule Detailed cut-over activity User communication plan Go/No-Go strategy Number of dress rehearsals Contingency planA pilot transition will help you validate: High level plan Transition approach Transition volumes and timeline Transition architectureA pilot transition will also help you reduce problems during theactual transition and refine your overall execution plan.26

Chapter 3: Adoption

Chapter 3: ADOPTIONScenario Support OverviewScenario Support OverviewServerlessSQLApacheSpark forSynapsePower AzureDataFactorySynapsePipelinesDedicatedSQLAzure aslpbiaka.ms/aslpipline

Chapter 3: ADOPTIONWhere do I start?Explore Azure Synapse Link in a Sandbox Environment.Let's begin!Implementation Set up your storage account. More information on how to create a Storage Account can be foundhere. More Information on Azure Data lake Storage Gen2 can be found here. Set up Azure Synapse Analytics Workspace. More Information on how to setup the Azure Synapse AnalyticsWorkspace can be found here. Configure your Azure Synapse Link for Dataverse from the Power PlatformMaker Portal. Consider which Dataverse Tables are required. Consider your business requirements and create multiple profiles ifnecessary. More information on how to Configure Azure Synapse Link with aSynapse Workspace can be found here. More information on how to Configure Azure Synapse Link with a DataLake can be found here.ConsiderationsTiming Plan your transition to Azure Synapse Link to have a smooth transitionand avoid any last minute's surprises. Transition DES to Synapse Link by November 2022.Quick Start Check the prerequisites. The Synapse workspace and your Azure Data Lake Storage Gen2account must be in the same region. Refer to the Advanced configuration settings here. Consider multiple profiles with Synapse Link for the below scenarios: Multiple line of business Sync to different ADL Gen2 Isolation for tables to comply with securityBest Practice Check this playbook for sample transition scenarios. Map your end-to-end scenarios with Synapse Link. Understand and adopt strategy to meet your organizational need likeMonthly vs Yearly partition, Append Only mode, etc. Check the FAQ Azure Synapse Link for Dataverse for frequently askedquestions.29

Chapter 3: ADOPTIONEstablish a PlanTransitioning from DES? New to Azure Synapse Link for Dataverse?Plan Identify the number of Dataverse profiles thatneed to be transitioned to Synapse Link. Understand the nature and volume of data inthe profile and identify the Dataverse tablesneeds to be exported. Ensure all the compliance requirements aremet for using Azure Synapse Analyticsworkspace. Ensure all the perquisites for setting up theAzure Synapse Link are met. Consider whether you need multiple exportprofiles with Azure Synapse Link to complywith security, compliance, and/or large datavolumes. Determine a strategy on whether you needmonthly or yearly partition, and if yourorganization require Append Only feature forauditing. Start with a small volume of data to Pilot thetransition and ensure all major scenariosworking.Implementation Start transition with your lower (sandbox)environments before moving to production. Setup your Azure Synapse Analyticsworkspace and Azure Data Lake StorageGen2. Configure the Azure Synapse Link in thePower Platform Maker Portal and add therequired Dataverse tables forsynchronization. Ensure all the tables have completedsyncing and there no failures from PowerApps Maker portal. Ensure end-to-end scenarios are testedpost transition to Azure Synapse Link. Consider having DES and Synapse Link toco-exists post successful transition for abrief “Stabilization” period.Operation Monitor Azure Synapse Link from PowerApp Maker portal to ensure all data istransitioning to ADL as expected. Transfer any existing externalmonitoring on DES to Azure Synapse Linkfor Dataverse. Ensure all downstream business processesare working as expected. Plan for a regular communication to keyusers and stakeholders post transition toupdate key challenges / issues /achievements. Decide a stabilization date post transitionto remove DES profiles from yourDataverse organizations and delete theSQL server instances.30

Chapter 3: ADOPTIONAdditional ConsiderationsIncremental vs. Full Transition from DES to Azure Synapse Link Pilot and address feedback Pilot the Azure Synapse Link for Dataverse with a limited set of Dataverse tables and integrate the data to any downstream da tawarehousing or reporting tools. Work on your transitional scenarios. Refer to Scenarios in the playbook for additional considerations. Ensure end-to-end business scenarios are working as expected. Deployments of different sizes and complexity may require different approaches for transitioning data. A large organization w ith very highvolumes of table sizes and requires complex transformations may choose an incremental roll out. Smaller organizations with smaller amounts ofdata may choose to sync all the data at once.Incremental Transition for Large Databases Full Transition for Small DatabasesBenefits Minimal impact on the data integration systems. Customers can begin implementing the end-to-endscenarios with low impact tables followed by high impacttables.Challenges It will take longer time to replicate Dataverse data to ADL. Customers must maintain both DES and Azure Synapse Linkfor Dataverse during the transition.Benefits One time data transition which requires creating theprofile/’s and configuring all the tables that needs to bereplicated from Dataverse. All the integrations can be tested post data replicationfinishes.Challenges “Big bang” approach, all issues, risks, gaps needs to beconsidered in advance . Large migrations can take multiple days to complete.

Chapter 3: ADOPTIONSupportRaising and Tracking Issues in ProductionWhen it's time to find answers to your MicrosoftDynamics 365 questions, there are a variety of selfsupport and assisted-support options to provide thehelp you need. Can't find a solution yourself? Send a question tothe Community and receive answers from othercustomers, partners, MVPs, and Microsoftemployees at https://community.dynamics.com/. Raise support requests for expedited live sitesupport. Your support ticket will be tracked androuted to the appropriate team of experts that willhelp you resolve your problem(s). You can create thesupport ticket in Power Platform Admin Center.32

Appendix

Sample Scenarios

ScenarioSample Transition ScenariosSample Transition Scenarios - Considerations These sample DES scenarios arecommonly used across our customersand partners. There can be additionalscenarios and this section is notintended to cover all DES transitionscenarios. The purpose of the sample scenarios isto provide guidance on how a DESscenario can be transitioned to SynapseLink. There may be many ways to implementthe DES scenario with Synapse link. Every customer’s scenario and use casewill be different and the appropriatearchitecture that will best fit the scenarioshould be chosen accordingly.35

ScenarioAnalyze and ReportScenario 1 – Analyze and Report on Dataverse DataDES Use Case Several organizational reports aredeveloped using Dataverse data. Data Export Service is used to exportDataverse data to Azure SQL. Power BI reports are used to report onthe data from Azure SQL. Power BI reports are shared acrossorganization to different stakeholders.SampleSynapseTransitionLinkApproach Configure Azure Synapse Link with aSynapse Workspace. More informationhere. Configure Power BI with AzureSynapse Analytics (DW) connector.More information here.36

ScenarioReplicateScenario 2 – Dataverse Data is ReplicatedDES Use Case Data Export Service is used to exportDataverse data to Azure SQL wheredownstream systems read the data.SampleSynapseTransitionLinkApproach 1: Serverless SQL Pool Configure Azure Synapse Link with aSynapse Workspace. More informationhere. Query your data with Serverless SQL.More information here.Approach 2: Azure SQL Configure Azure Synapse Link with DataLake . More information here. Use the official Pipeline Template to copyexported Data Lake data to Azure SQL.More information here. Add a trigger for your pipeline.Approach 3: Dedicated SQL Pool Configure Azure Synapse Link with aSynapse workspace. More informationhere. Copy data to Dedicated SQL with SynapsePipelines. More information here. Add a trigger for your pipeline.

ScenarioTransformScenario 3 – Transform Dataverse dataSampleSynapseTransitionLinkDES Use Case Data Export Service is used to exportDataverse data to Azure SQL. SQL Stored Procedures are configuredto transform exported data. Forexample, a stored procedure canexecute a complex calculation on thevalues of the exported Dataverse data. SQL views are configured to viewspecific parts of the exported data. Forexample, a view is created to combinedata from multiple exported Dataversetables.Approach 1: Serverless SQL Configure Azure Synapse Link with aSynapse Workspace. More information here. Create a new Serverless SQL Database in thesame workspace. More information here. Run your create view, stored procedure, orwrite SQL query by referencing yourDataverse database using the three-partnaming convention – [databasename].[schema-name].[table-name].Approach 2: Synapse Apache Spark Configure Azure Synapse Link with aSynapse Workspace. More information here. Create a new Apache Spark notebook. Moreinformation here. Run your create view, stored procedure, orwrite SQL query by referencing yourDataverse database using the three-partnaming convention – [databasename].[schema-name].[table-name].

ScenarioViewScenario 4 – View the Incremental Updates of Dataverse dataDES Use Case Data Export Service is used to exportDataverse data to Azure SQL. Analytics requires reading only theupdated records or the incrementalupdates in a specified time interval.SampleSynapseTransitionLinkApproach Configure Azure Synapse Link withSynapse workspace. Ensure, AppendOnly option is selected from AdvancedConfiguration. More information here. With the tool of your choice (likeServerless SQL), maintain a pointer tothe SinkModifiedOn field and set thepreferred time interval. Moreinformation here.39

ScenarioSurfaceScenario 5 – View Dataverse data via External Table in Azure SQL DBDES Use Case Data Export Service is used to exportDataverse data to Azure SQL. The data is transformed and/ormerged with other data sources. Virtual Tables are used to surface thetransformed data in Dataverse fromAzure SQL.SampleSynapseTransitionLinkApproach Configure Azure Synapse Link with aSynapse Workspace. More informationhere. Add external tables pointing toSynapse SQL serverless endpoint. Read the Dataverse data via SQLquery. More information refer toAppendix section.

Anti-patterns

Anti patterns for Azure Synapse Link for DataverseSample AntipatternsSample Antipatterns for DES & Azure Synapse Link forDataverse The purpose of the sample antipatterns isto provide guidance on scenarios whereAzure Synapse link for Dataverse may notbe the right fit to transition from DataExport Service While DES was envisaged to support theOperational/ Enterprise Reportingworkloads, there were scenarios whereDES was used for what it is not meant for.Such scenarios are equally not applicablefor Azure Synapse Link for Dataverse aswell.There can be additional antipatterns as well. This section is not intended to cover all the antipattern scenarios related to DES & Azure Synapse link for Dataverse.43

ScenarioReal Time IntegrationScenario 1 – Realtime or very near-time( secs of latency)IntegrationDES Use Case Data Export Service is used toreplicate Dataverse data to Azure SQL Downstream systems are integratedwith Azure SQL Customer business have a dependencyto real time data availability (withinseconds) on the integrating systems. Exporting data for near real time OLTPqueries.Facts : Data Export Service & Azure synapselink for Dataverse are designed fornear real-time data replication. Azure synapse link for Dataverse hassoft SLA of 15 mins The delta sync latency can varydepending on volume of data beingsynched, number of profiles, tables,and #lookups associated to the tablesetc.SampleSynapseTransitionLinkRecommended Approach Evaluate TDS end point Consider e

build a staging area for data warehouse, or build machine learning models on the Analytical data by replicating data from Dataverse into Azure SQL Database/ Azure SQL VM. . Implement integrations to sync the data from Azure Synapse Analytics to your pre-existing data warehousing solution. Pilot the implementation with a

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