Azure Purview provides unified data governance capabilities including automated data discovery, classification, and lineage visualization. It helps organizations overcome data governance silos, comply with regulations, and increase data agility. The key components of Azure Purview include the Data Map for automated metadata extraction and lineage, the Data Catalog for data discovery and governance, and Insights for monitoring data usage. It supports governance of data across cloud and on-premises environments in a serverless and fully managed platform.
Data Architecture Best Practices for Advanced AnalyticsDATAVERSITY
Many organizations are immature when it comes to data and analytics use. The answer lies in delivering a greater level of insight from data, straight to the point of need.
There are so many Data Architecture best practices today, accumulated from years of practice. In this webinar, William will look at some Data Architecture best practices that he believes have emerged in the past two years and are not worked into many enterprise data programs yet. These are keepers and will be required to move towards, by one means or another, so it’s best to mindfully work them into the environment.
Governance, Risk and Compliance and you | CollabDays Bletchley Park 2022Nikki Chapple
5 October 2022: CollabDays Bletchley Park 2022 - October edition | In-person event United Kingdom
Governance, Risk and Compliance and you – Microsoft Purview and beyond | Simon Hudson & Nikki Chapple
Governance, Risk and Compliance; it’s not nice to have, It’s The Law. Every organisation needs to pay attention to GRC, but not everyone has the tools, expertise or strategy. Microsoft Purview is a surprisingly capable tool in your organisation’s GRC tool bag when combined with a broad & competent approach. This session will provide: – an overview of GRC obligations and approaches – what’s in Purview – pragmatic approaches to elevating your Compliance Score – wider technical and business thinking for de-risking your operations and organisation – thoughts on using the Maturity Model for Microsoft 365 GRC Competency to set your objectives.
Data Catalogues - Architecting for Collaboration & Self-ServiceDATAVERSITY
The interest in Data Catalogs is growing as more business & technical users are looking to gain insight from data using a self-service approach. Architectural techniques for Data Provisioning and Metadata Cataloging have evolved to cater to these new audiences and ways of working. This webinar provides concrete methods of architecting your Self-service BI & Analytics environment to foster collaboration while at the same time maintaining Data Quality and reducing risk.
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Data Catalog for Better Data Discovery and GovernanceDenodo
Watch full webinar here: https://buff.ly/2Vq9FR0
Data catalogs are en vogue answering critical data governance questions like “Where all does my data reside?” “What other entities are associated with my data?” “What are the definitions of the data fields?” and “Who accesses the data?” Data catalogs maintain the necessary business metadata to answer these questions and many more. But that’s not enough. For it to be useful, data catalogs need to deliver these answers to the business users right within the applications they use.
In this session, you will learn:
*How data catalogs enable enterprise-wide data governance regimes
*What key capability requirements should you expect in data catalogs
*How data virtualization combines dynamic data catalogs with delivery
Microsoft Information Protection: Your Security and Compliance FrameworkAlistair Pugin
Its one thing encrypting and protecting your data from prying eyes but what use is it, if it is not retained or protected against loss. With Microsoft Information Protection, Microsoft provides organisations the ability to:
• Protection content from deletion
• Adhere to compliance standards (GDPR, HIPAA, etc)
• Discover content for litigation
• Manage access to content based on rules
By implementing the correct rules, organisations are able to mitigate risk and remain compliant and at the same time ensure that content is identified, classified, retained and disposed of accordingly.
Architect’s Open-Source Guide for a Data Mesh ArchitectureDatabricks
Data Mesh is an innovative concept addressing many data challenges from an architectural, cultural, and organizational perspective. But is the world ready to implement Data Mesh?
In this session, we will review the importance of core Data Mesh principles, what they can offer, and when it is a good idea to try a Data Mesh architecture. We will discuss common challenges with implementation of Data Mesh systems and focus on the role of open-source projects for it. Projects like Apache Spark can play a key part in standardized infrastructure platform implementation of Data Mesh. We will examine the landscape of useful data engineering open-source projects to utilize in several areas of a Data Mesh system in practice, along with an architectural example. We will touch on what work (culture, tools, mindset) needs to be done to ensure Data Mesh is more accessible for engineers in the industry.
The audience will leave with a good understanding of the benefits of Data Mesh architecture, common challenges, and the role of Apache Spark and other open-source projects for its implementation in real systems.
This session is targeted for architects, decision-makers, data-engineers, and system designers.
Data Governance Best Practices, Assessments, and RoadmapsDATAVERSITY
When starting or evaluating the present state of your Data Governance program, it is important to focus on best practices such that you don’t take a ready, fire, aim approach. Best practices need to be practical and doable to be selected for your organization, and the program must be at risk if the best practice is not achieved.
Join Bob Seiner for an important webinar focused on industry best practice around standing up formal Data Governance. Learn how to assess your organization against the practices and deliver an effective roadmap based on the results of conducting the assessment.
In this webinar, Bob will focus on:
- Criteria to select the appropriate best practices for your organization
- How to define the best practices for ultimate impact
- Assessing against selected best practices
- Focusing the recommendations on program success
- Delivering a roadmap for your Data Governance program
Want to see a high-level overview of the products in the Microsoft data platform portfolio in Azure? I’ll cover products in the categories of OLTP, OLAP, data warehouse, storage, data transport, data prep, data lake, IaaS, PaaS, SMP/MPP, NoSQL, Hadoop, open source, reporting, machine learning, and AI. It’s a lot to digest but I’ll categorize the products and discuss their use cases to help you narrow down the best products for the solution you want to build.
Microsoft Data Platform - What's includedJames Serra
The pace of Microsoft product innovation is so fast that even though I spend half my days learning, I struggle to keep up. And as I work with customers I find they are often in the dark about many of the products that we have since they are focused on just keeping what they have running and putting out fires. So, let me cover what products you might have missed in the Microsoft data platform world. Be prepared to discover all the various Microsoft technologies and products for collecting data, transforming it, storing it, and visualizing it. My goal is to help you not only understand each product but understand how they all fit together and there proper use case, allowing you to build the appropriate solution that can incorporate any data in the future no matter the size, frequency, or type. Along the way we will touch on technologies covering NoSQL, Hadoop, and open source.
Building Modern Data Platform with Microsoft AzureDmitry Anoshin
This presentation will cover Cloud history and Microsoft Azure Data Analytics capabilities. Moreover, it has a real-world example of DW modernization. Finally, we will check the alternative solution on Azure using Snowflake and Matillion ETL.
Data Architecture Strategies: Data Architecture for Digital TransformationDATAVERSITY
MDM, data quality, data architecture, and more. At the same time, combining these foundational data management approaches with other innovative techniques can help drive organizational change as well as technological transformation. This webinar will provide practical steps for creating a data foundation for effective digital transformation.
DAS Slides: Data Governance and Data Architecture – Alignment and SynergiesDATAVERSITY
Data Governance can have a varied definition, depending on the audience. To many, Data Governance consists of committee meetings and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both of these aspects, and a robust Data Architecture and associated diagrams can be the “glue” that binds business and IT governance together. Join this webinar for practical tips and hands-on exercises for aligning Data Architecture and Data Governance for business and IT success.
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
Power BI Governance - Access Management, Recommendations and Best PracticesLearning SharePoint
This document outlines permissions management for Power BI Workspace and features of new admin, Member and Contributor Roles. Recommendations and best practices for sharing report are also included. Free to Download.
Data Architecture Best Practices for Advanced AnalyticsDATAVERSITY
Many organizations are immature when it comes to data and analytics use. The answer lies in delivering a greater level of insight from data, straight to the point of need.
There are so many Data Architecture best practices today, accumulated from years of practice. In this webinar, William will look at some Data Architecture best practices that he believes have emerged in the past two years and are not worked into many enterprise data programs yet. These are keepers and will be required to move towards, by one means or another, so it’s best to mindfully work them into the environment.
Governance, Risk and Compliance and you | CollabDays Bletchley Park 2022Nikki Chapple
5 October 2022: CollabDays Bletchley Park 2022 - October edition | In-person event United Kingdom
Governance, Risk and Compliance and you – Microsoft Purview and beyond | Simon Hudson & Nikki Chapple
Governance, Risk and Compliance; it’s not nice to have, It’s The Law. Every organisation needs to pay attention to GRC, but not everyone has the tools, expertise or strategy. Microsoft Purview is a surprisingly capable tool in your organisation’s GRC tool bag when combined with a broad & competent approach. This session will provide: – an overview of GRC obligations and approaches – what’s in Purview – pragmatic approaches to elevating your Compliance Score – wider technical and business thinking for de-risking your operations and organisation – thoughts on using the Maturity Model for Microsoft 365 GRC Competency to set your objectives.
Data Catalogues - Architecting for Collaboration & Self-ServiceDATAVERSITY
The interest in Data Catalogs is growing as more business & technical users are looking to gain insight from data using a self-service approach. Architectural techniques for Data Provisioning and Metadata Cataloging have evolved to cater to these new audiences and ways of working. This webinar provides concrete methods of architecting your Self-service BI & Analytics environment to foster collaboration while at the same time maintaining Data Quality and reducing risk.
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Data Catalog for Better Data Discovery and GovernanceDenodo
Watch full webinar here: https://buff.ly/2Vq9FR0
Data catalogs are en vogue answering critical data governance questions like “Where all does my data reside?” “What other entities are associated with my data?” “What are the definitions of the data fields?” and “Who accesses the data?” Data catalogs maintain the necessary business metadata to answer these questions and many more. But that’s not enough. For it to be useful, data catalogs need to deliver these answers to the business users right within the applications they use.
In this session, you will learn:
*How data catalogs enable enterprise-wide data governance regimes
*What key capability requirements should you expect in data catalogs
*How data virtualization combines dynamic data catalogs with delivery
Microsoft Information Protection: Your Security and Compliance FrameworkAlistair Pugin
Its one thing encrypting and protecting your data from prying eyes but what use is it, if it is not retained or protected against loss. With Microsoft Information Protection, Microsoft provides organisations the ability to:
• Protection content from deletion
• Adhere to compliance standards (GDPR, HIPAA, etc)
• Discover content for litigation
• Manage access to content based on rules
By implementing the correct rules, organisations are able to mitigate risk and remain compliant and at the same time ensure that content is identified, classified, retained and disposed of accordingly.
Architect’s Open-Source Guide for a Data Mesh ArchitectureDatabricks
Data Mesh is an innovative concept addressing many data challenges from an architectural, cultural, and organizational perspective. But is the world ready to implement Data Mesh?
In this session, we will review the importance of core Data Mesh principles, what they can offer, and when it is a good idea to try a Data Mesh architecture. We will discuss common challenges with implementation of Data Mesh systems and focus on the role of open-source projects for it. Projects like Apache Spark can play a key part in standardized infrastructure platform implementation of Data Mesh. We will examine the landscape of useful data engineering open-source projects to utilize in several areas of a Data Mesh system in practice, along with an architectural example. We will touch on what work (culture, tools, mindset) needs to be done to ensure Data Mesh is more accessible for engineers in the industry.
The audience will leave with a good understanding of the benefits of Data Mesh architecture, common challenges, and the role of Apache Spark and other open-source projects for its implementation in real systems.
This session is targeted for architects, decision-makers, data-engineers, and system designers.
Data Governance Best Practices, Assessments, and RoadmapsDATAVERSITY
When starting or evaluating the present state of your Data Governance program, it is important to focus on best practices such that you don’t take a ready, fire, aim approach. Best practices need to be practical and doable to be selected for your organization, and the program must be at risk if the best practice is not achieved.
Join Bob Seiner for an important webinar focused on industry best practice around standing up formal Data Governance. Learn how to assess your organization against the practices and deliver an effective roadmap based on the results of conducting the assessment.
In this webinar, Bob will focus on:
- Criteria to select the appropriate best practices for your organization
- How to define the best practices for ultimate impact
- Assessing against selected best practices
- Focusing the recommendations on program success
- Delivering a roadmap for your Data Governance program
Want to see a high-level overview of the products in the Microsoft data platform portfolio in Azure? I’ll cover products in the categories of OLTP, OLAP, data warehouse, storage, data transport, data prep, data lake, IaaS, PaaS, SMP/MPP, NoSQL, Hadoop, open source, reporting, machine learning, and AI. It’s a lot to digest but I’ll categorize the products and discuss their use cases to help you narrow down the best products for the solution you want to build.
Microsoft Data Platform - What's includedJames Serra
The pace of Microsoft product innovation is so fast that even though I spend half my days learning, I struggle to keep up. And as I work with customers I find they are often in the dark about many of the products that we have since they are focused on just keeping what they have running and putting out fires. So, let me cover what products you might have missed in the Microsoft data platform world. Be prepared to discover all the various Microsoft technologies and products for collecting data, transforming it, storing it, and visualizing it. My goal is to help you not only understand each product but understand how they all fit together and there proper use case, allowing you to build the appropriate solution that can incorporate any data in the future no matter the size, frequency, or type. Along the way we will touch on technologies covering NoSQL, Hadoop, and open source.
Building Modern Data Platform with Microsoft AzureDmitry Anoshin
This presentation will cover Cloud history and Microsoft Azure Data Analytics capabilities. Moreover, it has a real-world example of DW modernization. Finally, we will check the alternative solution on Azure using Snowflake and Matillion ETL.
Data Architecture Strategies: Data Architecture for Digital TransformationDATAVERSITY
MDM, data quality, data architecture, and more. At the same time, combining these foundational data management approaches with other innovative techniques can help drive organizational change as well as technological transformation. This webinar will provide practical steps for creating a data foundation for effective digital transformation.
DAS Slides: Data Governance and Data Architecture – Alignment and SynergiesDATAVERSITY
Data Governance can have a varied definition, depending on the audience. To many, Data Governance consists of committee meetings and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both of these aspects, and a robust Data Architecture and associated diagrams can be the “glue” that binds business and IT governance together. Join this webinar for practical tips and hands-on exercises for aligning Data Architecture and Data Governance for business and IT success.
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
Power BI Governance - Access Management, Recommendations and Best PracticesLearning SharePoint
This document outlines permissions management for Power BI Workspace and features of new admin, Member and Contributor Roles. Recommendations and best practices for sharing report are also included. Free to Download.
Enroll in our Azure Data Engineering Course in Hyderabad to gain in-depth knowledge of Microsoft Azure's powerful data processing capabilities. Learn essential skills such as data ingestion, storage, and analytics using Azure services. Our hands-on training, led by industry experts, will equip you with the expertise needed to design and implement robust data solutions. Prepare for a successful career in data engineering with our specialized course in the heart of Hyderabad. Enroll in our Azure Data Engineering Course in Hyderabad to gain in-depth knowledge of Microsoft Azure's powerful data processing capabilities. Learn essential skills such as data ingestion, storage, and analytics using Azure services. Our hands-on training, led by industry experts, will equip you with the expertise needed to design and implement robust data solutions. Prepare for a successful career in data engineering with our specialized course in the heart of Hyderabad. Enroll in our Azure Data Engineering Course in Hyderabad to gain in-depth knowledge of Microsoft Azure's powerful data processing capabilities. Learn essential skills such as data ingestion, storage, and analytics using Azure services. Our hands-on training, led by industry experts, will equip you with the expertise needed to design and implement robust data solutions. Prepare for a successful career in data engineering with our specialized course in the heart of Hyderabad. Enroll in our Azure Data Engineering Course in Hyderabad to gain in-depth knowledge of Microsoft Azure's powerful data processing capabilities. Learn essential skills such as data ingestion, storage, and analytics using Azure services. Our hands-on training, led by industry experts, will equip you with the expertise needed to design and implement robust data solutions. Prepare for a successful career in data engineering with our specialized course in the heart of Hyderabad.
Enroll in our Azure Data Engineering Course in Hyderabad to gain in-depth knowledge of Microsoft Azure's powerful data processing capabilities. Learn essential skills such as data ingestion, storage, and analytics using Azure services. Our hands-on training, led by industry experts, will equip you with the expertise needed to design and implement robust data solutions. Prepare for a successful career in data engineering with our specialized course in the heart of Hyderabad.
Azure Days 2019: Business Intelligence auf Azure (Marco Amhof & Yves Mauron)Trivadis
In dieser Session stellen wir ein Projekt vor, in welchem wir ein umfassendes BI-System mit Hilfe von Azure Blob Storage, Azure SQL, Azure Logic Apps und Azure Analysis Services für und in der Azure Cloud aufgebaut haben. Wir berichten über die Herausforderungen, wie wir diese gelöst haben und welche Learnings und Best Practices wir mitgenommen haben.
Enroll in our Azure Data Engineering Course in Hyderabad to gain in-depth knowledge of Microsoft Azure's powerful data processing capabilities. Learn essential skills such as data ingestion, storage, and analytics using Azure services. Our hands-on training, led by industry experts, will equip you with the expertise needed to design and implement robust data solutions. Prepare for a successful career in data engineering with our specialized course in the heart of Hyderabad.
Azure Data Engineering Course in Hyderabadsowmyavibhin
Enroll in our Azure Data Engineering Course in Hyderabad to gain in-depth knowledge of Microsoft Azure's powerful data processing capabilities. Learn essential skills such as data ingestion, storage, and analytics using Azure services. Our hands-on training, led by industry experts, will equip you with the expertise needed to design and implement robust data solutions. Prepare for a successful career in data engineering with our specialized course in the heart of Hyderabad.
"Azure Data Engineering Course in Hyderabad "madhupriya3zen
Enroll in our Azure Data Engineering Course in Hyderabad to gain in-depth knowledge of Microsoft Azure's powerful data processing capabilities. Learn essential skills such as data ingestion, storage, and analytics using Azure services. Our hands-on training, led by industry experts, will equip you with the expertise needed to design and implement robust data solutions. Prepare for a successful career in data engineering with our specialized course in the heart of Hyderabad.
Comparing Microsoft Big Data Platform TechnologiesJen Stirrup
In this segment, we look at technologies such as HDInsight, Azure Databricks, Azure Data Lake Analytics and Apache Spark. We compare the technologies to help you to decide the best technology for your situation.
Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...Michael Rys
SQLBits 2020 presentation on how you can build solutions based on the modern data warehouse pattern with Azure Synapse Spark and SQL including demos of Azure Synapse.
POWER BI Training From SQL SchoolV2.pptxSequelGate
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This Power BI Training includes EVERY detail. From very basics - Installation, details of each Power BI Visual, On-premise and Cloud Data Access, Azure Integration, Data Modelling and ETL Techniques, Power Query (M Language), DAX Functions, Variables, Parameters, Power BI Dashboards, App Workspace, Data Gateways, Alerts, Power BI Report Server Components, Power BI Mobile Reports, Excel Integration, Excel Analysis, KPIs, Microsoft PL 300 Certification guidance, Resume Guidance, Concept wise Interview FAQs and ONE Real-time Project.
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Azure Key Vault, Azure Dev Ops and Azure Synapse - how these services work pe...Erwin de Kreuk
Can we store our Connectionstrings or BlobStorageKeys or other Secretvalues somewhere else then in Azure Synapse Pipelines? Yes you can! You can store these valuable secrets in Azure Key Vault(AKV).
• But how can we achieve this in Azure Synapse Analytics?
• How do we deploy our Synapse Pipelines in Azure Dev Ops to Test, Acceptance and Production environments with these Secrets ?
• Can this be setup dynamically?
During this session I will give answers on all these questions. You will learn how to setup your Azure Key Vault, connect these secrets in Azure Synapse Analytics and finally deploy these secrets dynamically in Azure Dev Ops. As you can see a lot to talk about during this session.
Lake Database Database Template Map Data in Azure Synapse AnalyticsErwin de Kreuk
Database templates in Synapse Analytics are blueprints which can be used by organizations to plan, architect and design solutions.
How can we use these Database Templates in a day-to-day business, in order to speed up to automate this process?
Map data tool can help us with that
Dealing with different Synapse Roles in Azure Synapse Analytics Erwin de KreukErwin de Kreuk
Azure Synapse Analytics is Microsoft's analytical engine that brings together data integration, enterprise data warehousing and big data analytics. It uses a holistic approach which means that different user personas will use Azure Synapse.
• How do you deal with these different user personas and the different roles within Azure Synapse Analytics? For example, what is a Data Scientist or Data Engineer allowed to do and what not?
• What roles do we need to store the code in DevOps, to debug a pipeline or to execute a Notebook?
I would like to take you through some practical examples on how you can best set up these roles for your Azure Synapse environment.
Is there a way that we can build our Azure Synapse Pipelines all with paramet...Erwin de Kreuk
Is there a way that we can build our Synapse Data Pipelines all with parameters all based on MetaData? Yes there's and I will show you how to. During this session I will show how you can load Incremental or Full datasets from your sql database to your Azure Data Lake. The next step is that we want to track our history from these extracted tables. We will do using Delta Lake. The last step that we want, is to make this data available in Azure SQL Database or Azure Synapse Analytics. Oh and we want to have some logging as well from our processes A lot to talk and to demo about during this session.
Is there a way that we can build our Azure Data Factory all with parameters b...Erwin de Kreuk
Is there a way that we can build our Data Factory all with parameters all based on MetaData? Yes there's and I will show you how to. During this session I will show how you can load Incremental or Full datasets from your sql database to your Azure Data Lake. The next step is that we want to track our history from these extracted tables. We will do this with Azure Databricks using Delta Lake. The last step that we want, is to make this data available in Azure SQL Database or Azure Synapse Analytics. Oh and we want to have some logging as well from our processes A lot to talk and to demo about during this session.
SQL KONFERENZ 2020 Azure Key Vault, Azure Dev Ops and Azure Data Factory how...Erwin de Kreuk
Can we store our Connectionstrings or BlobStorageKeys or other Secretvalues somewhere else then in Azure Data Factory(ADF)? Yes you can! You can store these valuable secrets in Azure Key Vault(AKV).
But how can we achieve this in ADF? And finally how do we deploy our DataFactories in Azure Dev Ops to Test, Acceptance and Production environments with these Secrets ? Can this be setup dynamically?
During this session I will give answers on all of these questions. You will learn how to setup your Azure Key Vault, connect these secrets in ADF and finally deploy these secrets dynamically in Azure Dev Ops. As you can see a lot to talk about during this session.
DatamindsConnect2019 Azure Key Vault, Azure Dev Ops and Azure Data Factory ho...Erwin de Kreuk
Can we store our Connectionstrings or BlobStorageKeys or other Secretvalues somewhere else then in Azure Data Factory(ADF)? Yes you can! You can store these valuable secrets in Azure Key Vault(AKV).
But how can we achieve this in ADF? And finally how do we deploy our DataFactories in Azure Dev Ops to Test, Acceptance and Production environments with these Secrets ? Can this be setup dynamically?
During this session I will give answers on all of these questions. You will learn how to setup your Azure Key Vault, connect these secrets in ADF and finally deploy these secrets dynamically in Azure Dev Ops. As you can see a lot to talk about during this session.
Help, I need to migrate my On Premise Database to Azure, which Database Tier ...Erwin de Kreuk
During this session we will walk you through all the different Tiers in Azure, DTU, Vcore, Serverless and Managed Instance and will provide examples when to use which Tier.
We will also show you the Microsoft Data Migration Assesment (DMA). This tool will help you to decide which tier you should choose. So if you need help or just interested in the different Azure Database Tiers then visit our session
DataSaturdayNL 2019 Azure Key Vault, Azure Dev Ops and Azure Data Factory h...Erwin de Kreuk
Can we store our Connectionstrings or BlobStorageKeys or other Secretvalues somewhere else then in Azure Data Factory(ADF)? Yes you can! You can store these valuable secrets in Azure Key Vault(AKV). But how can we achieve this in ADF? And finally how do we deploy our DataFactories in Azure Dev Ops to Test, Acceptance and Production environments with these Secrets ? Can this be setup dynamically? During this session I will give answers on all of these questions. You will learn how to setup your Azure Key Vault, connect these secrets in ADF and finally deploy these secrets dynamically in Azure Dev Ops. As you can see a lot to talk about during this session.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
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We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
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We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
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Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
1. InSpark
Erwin de Kreuk
Lead Data and AI
Azure Purview
Microsoft's answer to Data Governance and Data Lineage
@erwindekreuk
https://erwindekreuk.com
HELLHEIM
12:15 CET
DataSaturday Oslo
04 September 2021
@DataSatOslo
5. InSpark
Data governance is becoming increasingly
interdisciplinary
What data do I have?
Where did the data originate?
Can I trust it?
DISCOVERY
What’s my exposure to risk?
Is my usage compliant?
How do I control access & use?
What is required by regulation X?
COMPLIANCE
ChiefDataOfficer
7. InSpark
Data Map
Multicloud
On-prem
Data Insights
Azure Purview
Data Catalog
SaaS
Data Map
Automate and manage metadata at scale
Data Catalog
Enable effortless discovery for data
consumers
Data Insights
Assess data usage across your
organization
8. InSpark
Unified data governance to
maximize the business
value of data
Azure Purview
Reimagine data
governance in the cloud
Set the foundation for
effective data governance
Maximize business value
of data for data
consumers
Gain insight into data use
across the estate
9. InSpark
Manage and govern operational,
transactional and analytical data
Cloud-native, purpose-built
service to address discovery and
compliance needs
Fully managed, serverless, PaaS
service
Eliminate manual, ad-hoc and
homegrown solutions
Reimagine data
governance in the cloud
10. InSpark
Automate discovery of data in on-
premises, multicloud and SaaS
sources
Classify data at scale to specify
sensitivity, compliance, industry,
business and company-specific
value
Know where data came from and
what was derived from it with
data lineage
Set the foundation for
effective data governance
11. InSpark
Connect business and technical
data analysts, data scientists, and
data engineers to a trusted data
catalog
Enable users to quickly find data
and view its lineage and
sensitivity
Deliver a curated and consistent
glossary of business terms and
definitions
Maximize business value
of data for data
consumers
12. InSpark
Understand at a glance how data
is being created and used across
your data estate
Visually assess the state of data
assets, scans, business glossary
and sensitive data
Gain insight into data use
across the estate
13. InSpark
Azure Purview Features
Azure Purview
Azure Purview Platform
Azure Purview Studio
Automated Scanning & Classification
• Dedicated per customer on shared infra
• Provisioned default capacity with option to add-on capacity
Data Map
• Serverless, pay per use
• Includes connectors, scanning of sources, processing into data assets, lineage capture, classification
• Search, browse, asset details
• Automated meta-data and lineage extraction
• Automated classification based on content inspection
• Private Endpoint
• Management center
On-prem & Multi-cloud Operational, Analytical, SaaS
Azure Purview Catalog included with Platform (C0)
Power BI
SQL Server on-prem
Azure Synapse
Azure Data Services
M365 Compliance Cen
Open APIs
(Apache Atlas 2.0)
14. InSpark
Azure Purview Features
Azure Purview
Azure Purview Platform
Azure Purview Studio
Azure Purview Catalog (C1)
Automated Scanning & Classification
• Dedicated per customer on shared infra
• Provisioned default capacity with option to add-on capacity
Data Map
• Serverless, pay per use
• Includes connectors, scanning of sources, processing into data assets, lineage capture, classification
• Search, browse, asset details
• Automated meta-data and lineage extraction
• Automated classification based on content inspection
• Private Endpoint
• Management center
On-prem & Multi-cloud Operational, Analytical, SaaS
• Business Glossary templates
• Lineage visualization & workflows
Azure Purview Catalog included with Platform (C0)
Data Producers &
Consumers
Open APIs
(Apache Atlas 2.0)
Power BI
SQL Server on-prem
Azure Synapse
Azure Data Services
M365 Compliance Cen
15. InSpark
Azure Purview Features
Azure Purview
Azure Purview Platform
Azure Purview Studio
Azure Purview Catalog (C1)
Automated Scanning & Classification
• Dedicated per customer on shared infra
• Provisioned default capacity with option to add-on capacity
Data Map
• Serverless, pay per use
• Includes connectors, scanning of sources, processing into data assets, lineage capture, classification
• Search, browse, asset details
• Automated meta-data and lineage extraction
• Automated classification based on content inspection
• Private Endpoint
• Management center
On-prem & Multi-cloud Operational, Analytical, SaaS
Azure Purview Data Insights (D1)
• Business Glossary templates
• Lineage visualization & workflows
Azure Purview Catalog included with Platform (C0)
• Catalog Insights (Asset, Scan, Glossary)
• Sensitive Information Types & Labeling insights
Data Producers &
Consumers
Data Officers &
Security Officers
Open APIs
(Apache Atlas 2.0)
Power BI
SQL Server on-prem
Azure Synapse
Azure Data Services
M365 Compliance Cen
16. InSpark
• No access to Purview Portal
• Can Manage all aspects of Scanning
• Ideal role for programmatic processes, such as service principals
• Can register Data Sources
Azure Purview – Access Control
Data Source Administrator
17. InSpark
• Has access to Purview Portal
• Can read all content in Azure Purview
Azure Purview – Access Control
Data Reader
Data Source Administrator
18. InSpark
• Has access to Purview Portal
• Can read all content in Azure Purview
• Can edit assets, classification and glossary terms
• Can apply classifications and glossary terms to assets.
• Can not Register Data Sources, only read
Azure Purview - Roles
Data Reader
Data Curator
Data Source Administrator
21. InSpark
Azure Purview - Pricing
• Capacity Unit
• €0.289 per 1 Capacity Unit Hour
• Provisioned API throughput. 1 capacity unit = 1 API/sec
• Includes 4 capacity units for free until February 28, 2021.
• Metadata Storage
• Free in preview
Azure Purview Data Map
22. InSpark
Azure Purview - Pricing
• Capacity Unit
• €0.289 per 1 Capacity Unit Hour
• Provisioned API throughput. 1 capacity unit = 1 API/sec
• Includes 4 capacity units for free until February 28, 2021.
• Metadata Storage
• Free in preview
Azure Purview Data Map
Changed for all new Purview
Accounts created after or on
August 18th, 2021
24. InSpark
Azure Purview - Pricing
• Power BI Online
• Free in Preview
• SQL Server On Prem
• Free in Preview
• Other Data Sources
• Free in Preview
• €0.532 per 1 vCore Hour
Includes 16 vCore-hours for Free every month until February 28, 2021
Azure Purview Data Map
Scanning and Classification
25. InSpark
Azure Purview - Pricing
• C0
• Included with the Data Map
Search and browse of data assets
• C1
• Free in preview
• Business glossary, lineage visualization and catalog insights
• D0
• Free in preview
Sensitive data identification insights
Azure Purview Data Map
Scanning and Classification
Azure Purview Data Catalog
https://azure.microsoft.com/en-us/pricing/details/azure-purview
26. InSpark
Azure Purview Studio Updates Accounts Notifications
Feedback
Metrics
Search Bar
Usefull Links
Recently
Accessed Entities
Search Bar
Key Actvities
27. InSpark
• Quick Actions, recently accessed items, owned Items, search bar and
Documentation
Azure Purview Studio - Activity hubs
• Create collections, register data sources, setup Scans, Integration runtime
• Manage Glossary Items, search, manage terms templates and custom
attributes, import and export Terms using csv
• Insights on your data
• Meta Data Management Security, ADF and data share Connections
31. InSpark
Purview Data Map
Unify and make data meaningful
Automated metadata scanning and
lineage identification of hybrid
data stores
100+ built-in and custom classifiers
Microsoft Information Protection
sensitivity labels
32. InSpark
Purview Data Map
Automated metadata scanning and
lineage identification of hybrid
data stores
100+ built-in and custom classifiers
Microsoft Information Protection
sensitivity labels
Unify and make data meaningful
33. InSpark
Azure Purview Data Catalog
Enable effortless discovery
Semantic search and
browse
Business glossary and
workflows
Data lineage with sources,
owners, transformations,
and lifecycle
37. InSpark
Insights
Reports on Assets, Scans,
Glossary, Classification,
and Labeling
Get a bird’s-eye view of sensitive data
38. InSpark
Register and Scan a Power BI Tenant
Discover data registered and scanned by Azure Purview
Allow service principals to use read-only Power BI admin APIs
Enhance admin APIs responses with detailed metadata
39. InSpark
Register and Scan a Power BI Tenant
Discover data registered and scanned by Azure Purview
Allow service principals to use read-only Power BI admin APIs
Enhance admin APIs responses with detailed metadata
40. InSpark
Integrate Azure Purview in Azure Synapse Analytics
Discover data registered and scanned by Azure Purview
In Preview
41. InSpark
Integrate Azure Purview in Azure Synapse Analytics
Discover data registered and scanned by Azure Purview
In Preview
42. InSpark
Integrate Azure Purview in Azure Synapse Analytics
Discover data registered and scanned by Azure Purview
In Preview
43. InSpark
Integrate Azure Purview in Azure Synapse Analytics
Discover data registered and scanned by Azure Purview
In Preview
44. InSpark
Integrate Azure Purview in Azure Synapse Analytics
Discover data registered and scanned by Azure Purview
In Preview
Hallo and Welcome to my session about Azure Purview
My name is Erwin de Kreuk and I’m working as a Lead Data and AI for InSpark a Microsoft Partner in the Netherlands
Ciao e benvenuto alla mia sessione su Azure Purview
Hallo and Welcome to my session about Azure Purview
My name is Erwin de Kreuk and I’m working as a Lead Data and AI for InSpark a Microsoft Partner in the Netherlands
Azure Purview is a unified data governance service.
During this session I will explain what Azure Purview is.
The position of Azure Purview within your Data Estate
And how it works with some practical examples
If you have questions, please feel free to ask them
History
Blue Talon June 2019
With Azure Purview Microsoft has now his own Cloud Native Service for Data Governance and Data Lineage.
I'm curious what the future will bring, but also which position it will take compared to Colibra / Informatica / AWS Glue Data Catalog or other Data Governance products
As we all know Data Governance is becoming more and more becoming increasingly interdisciplinary.
A chief data officer (CDO) is a corporate officer who is responsible for enterprise-wide governance and utilization of information as an asset, via data processing, analysis, data mining, information trading and other means.
He will be one of the users who will use Azure Purview to get answers
On what kind of do I have within my Data Estate
Where is the data coming from but also I can trust the data.
But also compliance is getting more and more important with all the required regulations from the local government or industries. F.E ISO and NEN certifications.
Besided these questions the CDO wants to have also answers based
On what are the risk to exposure mu data
How can we control the access and use of data and compliant is our data.
The following elements can lead to a successful data governance which is one of the key components in a modern Data Estate:
You need to have control on your growing data landscape
You want to Overcome operational silos
A data silo is a collection of data held by one group that is not easily or fully accessible by other groups. ... Finance, administration, HR, and other departments need different information to do their work, and those individual collections of often overlapping-but-inconsistent data are in separate silos
You want Increase the flexibility/agility of your data
And You want make sure you comply with all different industry regulations and local government regulations.
Azure Purview can help you with these elements
Azure Purview organizes metadata that enables your organization to break down silos and derive meaning from data.
Once data can be understood and annotated, it then lends itself to several applications –
During the public we can use the data map where automate and manage metadata at scale
Data catalog to Discover and search for data
Data insights. To get an overview of the data in our Data Estate
This’s what Azure Purview currently has to offer
In the future, privacy, quality and master data management will follow.
There are 4 pilars which helps you to maximize the business value of data in your organization
Data Governance
Set the Foundation
Create Business Value for the consumers
And of course, insights should not be missing
Key features of Reimagine data governance in the cloud
Cloud Native
Managed
Serverless
PaaS
Key features for the foundation are
Automate and Discover data of different sources
Classify data to specify sensitivity
Know where your data is coming from
Key features to maximize the business values
Connect the different roles within your organization to a trusted data catalog
Enable them to quickly find this data
Key features to gain insights
Understand at a glance how data is being created and used across your data estate
Visually the state of data assets, scans, business glossary and sensitive data
Datasource
Power BI, SQL Sever on-prem, Azure Data Services including Synapse, Cosmos DB & Storage, Non-Microsoft systems including SAP ECC, SAP S4 HANA & Teradata, Multi-cloud systems including AWS S3
With Purview Platform:
Automate scanning and classification of multicloud, SaaS, on-prem data. 25 plus out of box connectors and file formats supported
Modernize homegrown catalogs built on opensource technology with Purview using Apache Atlas APIs supported out-of-the-box
Get catalog features (C0 Tier) for FREE included with Purview platform:
Search and browse
Empower business and technical data analysts via a catalog to find and interpret data.
Power data scientists and engineers with business context to drive BI, Analytics, AI and ML initiatives
Automated metadata and lineage extraction
Enrich the business value of data with technical, business and semantic metadata
Scale understanding of data with automated, fully managed, serverless metadata management capability
Leverage support of Apache Atlas’s open-source Lineage APIs to push lineage information into the Purview Data Map.
Analyze impact of changes to data and understand dependencies visually.
Azure Purview Catalog (C1 Tier) includes the following in addition to the free features included with the platform:
Business Glossary
Deliver a curated and consistent understanding of business terms and definitions.
Import existing glossary terms from existing data dictionaries easily.
Also add ability to define custom attributes for the glossary terms and create templates for different domains like ‘Finance’, ‘Sales’ etc.
Lineage views
Ensure data provenance with a visual representation of owners, sources, transformation, and lifecycle
Built-in integrations with solutions to automatically extract lineage such as Synapse Analytics, Azure Data Factory, Azure Data Share etc.
Data Insights (D1 Tier) provides a bird’s eye view of your data landscape intended to help users such as Chief Data Officers quickly understand their data estate at large and gain key insights such as where sensitive data resides.
It includes:
Catalog insights:
Asset Insights: Quickly see where all your data resides across a range of data sources
Scan Insights: Success/failures/cancellations over a period
Glossary Insights: Quickly understand changes made to the glossary over time and assess how much coverage glossary has over your data map.
Sensitive data insights
Simplify compliance risk assessment across all your operational and transactional data sources.
Assess risk and derive audit trails of data qualified by sensitivity and business relevance.
Purview Data Source Administrator Role
Does not have access to the Purview Portal (the user needs to also be in the Data Reader or Data Curator roles) and can manage all aspects of scanning data into Azure Purview but does not have read or write access to content in Azure Purview beyond those related to scanning.
programmatic processes, such as service principals, that need to be able to set up and monitor scans but should not have access to any of the catalog's data.
Purview Data Reader Role
Has access to the Purview portal and can read all content in Azure Purview except for scan bindings
Purview Data Curator Role
Has access to the Purview portal and can read all content in Azure Purview except for scan bindings, can edit information about assets, can edit classification definitions and glossary terms, and can apply classifications and glossary terms to assets.
Purview Data Source Administrator Role
Does not have access to the Purview Portal (the user needs to also be in the Data Reader or Data Curator roles) and can manage all aspects of scanning data into Azure Purview but does not have read or write access to content in Azure Purview beyond those related to scanning.
programmatic processes, such as service principals, that need to be able to set up and monitor scans but should not have access to any of the catalog's data.
Purview Data Reader Role
Has access to the Purview portal and can read all content in Azure Purview except for scan bindings
Purview Data Curator Role
Has access to the Purview portal and can read all content in Azure Purview except for scan bindings, can edit information about assets, can edit classification definitions and glossary terms, and can apply classifications and glossary terms to assets.
When deploying an Azure Purview Account on or after August 18th, 2021 you now can also assign roles bases on Collection
So as you can see in the Example you can restricted people to see data in the Collection Assets Revenue.
How this all works, I will show that I a later demo
4 capacity units are only for some subscriptions types
Charging will now start as of 1 Capacity unit, for all Azure Purview accounts created on or after Augusts 18, 2021. Existing Purview accounts will be migrated starting September/October.
Currently the Elastic Data Map is free
Purview Data Map can automatically scale up and down within the elasticity window
To get the next level of the elasticity window, a support ticket needs to be created.
A single, centralized place that provides unified experience for data producers, data consumers, data & security officers
Home
Quick Actions, recently accessed items, owned Items, search bar and Documentation
Sources
Create collections, register data sources, setup Scans, Integration runtimeGlossary
Manage Glossary Items, search, manage terms templates and custom attributes, import and export Terms using csv
Insights
Insights on your data
Management Center
Meta Data Management Security, ADF and data share Connections
Demo Activity Hubs
Home Page
Tabs
Table view-Map View
Scan
ADLS Define Scope
All Source are categorized
Pay Attention when you have enabled Private endpoint that you can access selected networks/sources
Intended to help users such as Chief Data Officers quickly understand their data estate at large and gain key insights such as where sensitive data resides
Asset Insight Understand distribution of data assets across a range of data sources & environments
Scan Insight Number of successful, failed and cancelled scans over time
Glossary Insights Understand changes made to business terms and assess how much coverage glossary has over the data map
Classifications Insights Understand what sensitive data exists across the data estate from various lens
Sensitivity Labels Insights Understand what sensitivity labels have been applied across the data estate
File Extensions Insights Recently scanned files based on their extensions
Reports on Assets, Scans, Glossary, Classification, and Labeling
You need make sure that your Azure Purview Account as permission to read the PowerBI Tenant.
You need to be a Power BI Admin to see the tenant settings page.
First of all create a Security Group and add your Purview Account as a Member
Then you need to add this Security Group to the tenant setting Allow service principals to use read-only Power BI admin APIs to allow Purview to scan your PowerBI Metadata you need to enable Enhance admin APIs responses with detailed metadata
Make sure that before you start scanning your Power BI Dataset and to get the metadata, you must schedule a refresh in the powerbi service.
I immediately thought back to a keynote from Pass Summit 2015, in which , Microsoft's new vision immediately became clear Walk with your head in the Cloud and your feet on the ground. I don’t why but it just came up.
But it makes it clear that Microsoft is now busy to create a Unified experience for his customers. Where Azure Synapse is the heart and with the link to Azure Purview and Azure Cosmos DB/
I immediately thought back to a keynote from Pass Summit 2015, in which , Microsoft's new vision immediately became clear Walk with your head in the Cloud and your feet on the ground. I don’t why but it just came up.
But it makes it clear that Microsoft is now busy to create a Unified experience for his customers. Where Azure Synapse is the heart and with the link to Azure Purview and Azure Cosmos DB is getting even more simple.
Once you created this connection you directly search with the Azure Purview catalog
And for 2 weeks your Data Lineage will be enabled also when connecting your Purview Account
Azure Purview drops lineage if the source or destination uses an unsupported data storage system.
Once you created this connection you directly search with the Azure Purview catalog
And for 2 weeks your Data Lineage will be enabled also when connecting your Purview Account
Azure Purview drops lineage if the source or destination uses an unsupported data storage system.
You may see below warning if you have the privilege to read Purview role assignment information and the needed role is not granted.
To make sure the connection is properly set for the pipeline lineage push, go to your Purview account and check if Purview Data Curator role is granted to the Synapse workspace's managed identity. If not, manually add the role assignment.
Source
Collection
Scan + Scan Rule set + Custom File Type
Schedule
Search catalog cities Lineage
Browse Assets Edit/Overview/Lineage/Contacts
Show Insights
Show Synapse Integration
