Deep dive into Microsoft Purview Data Loss PreventionDrew Madelung
Are you protecting your data at rest and in transit?
In this session we will go through all the different types of DLP in Microsoft Purview including endpoint, Exchange, Teams, SharePoint, OneDrive, and more. We will discuss the configuration options, why it is important, and the best practices to get started while going through a collection of demos.
You will leave this sessions with a deeper understanding of the technology and how it can impact your employee's experience
Deep dive into Microsoft Purview Data Loss PreventionDrew Madelung
Are you protecting your data at rest and in transit?
In this session we will go through all the different types of DLP in Microsoft Purview including endpoint, Exchange, Teams, SharePoint, OneDrive, and more. We will discuss the configuration options, why it is important, and the best practices to get started while going through a collection of demos.
You will leave this sessions with a deeper understanding of the technology and how it can impact your employee's experience
On-premise to Microsoft Azure Cloud Migration.Emtec Inc.
This presentation sheds light on migrating on-premise apps to Microsoft Azure cloud. It also highlights the technical capabilities of Microsoft Azure cloud services.
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.
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.
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.
Azure Synapse Analytics is Azure SQL Data Warehouse evolved: a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics into a single service. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. This is a huge deck with lots of screenshots so you can see exactly how it works.
Organizations are grappling to manually classify and create an inventory for distributed and heterogeneous data assets to deliver value. However, the new Azure service for enterprises – Azure Synapse Analytics is poised to help organizations and fill the gap between data warehouses and data lakes.
Planning Your Migration to SharePoint Online #SPBiz60Christian Buckley
Session from SPBiz.com online event on June 18th, 2015. It’s always best to begin with a plan, and this session will provide a framework for developing your own migration plan. While tools will help automate some aspects of the content move, much of the complexity of a SharePoint migration happens before a tool is installed. This session will help analysts, project managers and admin of SharePoint to reduce migration time and increase success.
Architecting Agile Data Applications for ScaleDatabricks
Data analytics and reporting platforms historically have been rigid, monolithic, hard to change and have limited ability to scale up or scale down. I can’t tell you how many times I have heard a business user ask for something as simple as an additional column in a report and IT says it will take 6 months to add that column because it doesn’t exist in the datawarehouse. As a former DBA, I can tell you the countless hours I have spent “tuning” SQL queries to hit pre-established SLAs. This talk will talk about how to architect modern data and analytics platforms in the cloud to support agility and scalability. We will include topics like end to end data pipeline flow, data mesh and data catalogs, live data and streaming, performing advanced analytics, applying agile software development practices like CI/CD and testability to data applications and finally taking advantage of the cloud for infinite scalability both up and down.
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
Data Mesh is a trending approach to building a decentralized data architecture by leveraging a domain-oriented, self-service design. However, the pure definition of Data Mesh lacks a center of excellence or central data team and doesn’t address the need for a common approach for sharing data products across teams. The semantic layer is emerging as a key component to supporting a Hub and Spoke style of organizing data teams by introducing data model sharing, collaboration, and distributed ownership controls.
This session will explain how data teams can define common models and definitions with a semantic layer to decentralize analytics product creation using a Hub and Spoke architecture.
Attend this session to learn about:
- The role of a Data Mesh in the modern cloud architecture.
- How a semantic layer can serve as the binding agent to support decentralization.
- How to drive self service with consistency and control.
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.
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.
Building Lakehouses on Delta Lake with SQL Analytics PrimerDatabricks
You’ve heard the marketing buzz, maybe you have been to a workshop and worked with some Spark, Delta, SQL, Python, or R, but you still need some help putting all the pieces together? Join us as we review some common techniques to build a lakehouse using Delta Lake, use SQL Analytics to perform exploratory analysis, and build connectivity for BI applications.
Microsoft Information Protection demystified Albert HoitinghAlbert Hoitingh
This session was presented at the North American Collaboration Summit 2022. It covers the many technical aspects of Microsoft Purview Information Protection.
Why an AI-Powered Data Catalog Tool is Critical to Business SuccessInformatica
Imagine a fast, more efficient business thriving on trusted data-driven decisions. An intelligent data catalog can help your organization discover, organize, and inventory all data assets across the org and democratize data with the right balance of governance and flexibility. Informatica's data catalog tools are powered by AI and can automate tedious data management tasks and offer immediate recommendations based on derived business intelligence. We offer data catalog workshops globally. Visit Informatica.com to attend one near you.
On-premise to Microsoft Azure Cloud Migration.Emtec Inc.
This presentation sheds light on migrating on-premise apps to Microsoft Azure cloud. It also highlights the technical capabilities of Microsoft Azure cloud services.
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.
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.
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.
Azure Synapse Analytics is Azure SQL Data Warehouse evolved: a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics into a single service. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. This is a huge deck with lots of screenshots so you can see exactly how it works.
Organizations are grappling to manually classify and create an inventory for distributed and heterogeneous data assets to deliver value. However, the new Azure service for enterprises – Azure Synapse Analytics is poised to help organizations and fill the gap between data warehouses and data lakes.
Planning Your Migration to SharePoint Online #SPBiz60Christian Buckley
Session from SPBiz.com online event on June 18th, 2015. It’s always best to begin with a plan, and this session will provide a framework for developing your own migration plan. While tools will help automate some aspects of the content move, much of the complexity of a SharePoint migration happens before a tool is installed. This session will help analysts, project managers and admin of SharePoint to reduce migration time and increase success.
Architecting Agile Data Applications for ScaleDatabricks
Data analytics and reporting platforms historically have been rigid, monolithic, hard to change and have limited ability to scale up or scale down. I can’t tell you how many times I have heard a business user ask for something as simple as an additional column in a report and IT says it will take 6 months to add that column because it doesn’t exist in the datawarehouse. As a former DBA, I can tell you the countless hours I have spent “tuning” SQL queries to hit pre-established SLAs. This talk will talk about how to architect modern data and analytics platforms in the cloud to support agility and scalability. We will include topics like end to end data pipeline flow, data mesh and data catalogs, live data and streaming, performing advanced analytics, applying agile software development practices like CI/CD and testability to data applications and finally taking advantage of the cloud for infinite scalability both up and down.
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
Data Mesh is a trending approach to building a decentralized data architecture by leveraging a domain-oriented, self-service design. However, the pure definition of Data Mesh lacks a center of excellence or central data team and doesn’t address the need for a common approach for sharing data products across teams. The semantic layer is emerging as a key component to supporting a Hub and Spoke style of organizing data teams by introducing data model sharing, collaboration, and distributed ownership controls.
This session will explain how data teams can define common models and definitions with a semantic layer to decentralize analytics product creation using a Hub and Spoke architecture.
Attend this session to learn about:
- The role of a Data Mesh in the modern cloud architecture.
- How a semantic layer can serve as the binding agent to support decentralization.
- How to drive self service with consistency and control.
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.
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.
Building Lakehouses on Delta Lake with SQL Analytics PrimerDatabricks
You’ve heard the marketing buzz, maybe you have been to a workshop and worked with some Spark, Delta, SQL, Python, or R, but you still need some help putting all the pieces together? Join us as we review some common techniques to build a lakehouse using Delta Lake, use SQL Analytics to perform exploratory analysis, and build connectivity for BI applications.
Microsoft Information Protection demystified Albert HoitinghAlbert Hoitingh
This session was presented at the North American Collaboration Summit 2022. It covers the many technical aspects of Microsoft Purview Information Protection.
Why an AI-Powered Data Catalog Tool is Critical to Business SuccessInformatica
Imagine a fast, more efficient business thriving on trusted data-driven decisions. An intelligent data catalog can help your organization discover, organize, and inventory all data assets across the org and democratize data with the right balance of governance and flexibility. Informatica's data catalog tools are powered by AI and can automate tedious data management tasks and offer immediate recommendations based on derived business intelligence. We offer data catalog workshops globally. Visit Informatica.com to attend one near you.
Empowering Business & IT Teams: Modern Data Catalog RequirementsPrecisely
As the demand for data-driven insights continues to grow, the importance of data catalogs will only increase. A modern data catalog addresses new use cases requiring more immediate and intelligent data discovery to drive complete and informed business outcomes.
In this demo, you will hear how the Precisely Data Integrity Suite’s Data Catalog is the connective tissue that empowers business and IT teams to discover, understand, and trust their critical data. Requirements to meet those new use cases include:
· Discovery, lineage, and relationships across silos for more informed insights
· Interoperability with data platforms and tech stacks to increase ROI
· Machine learning to drive more significant insights
· Data observability to alert users to data changes and anomalies
· Business-friendly data governance to advance understanding & accountability
Microsoft Cloud GDPR Compliance Options (SUGUK)Andy Talbot
Recently, Microsoft introduced Microsoft 365, which brings together Office 365, Windows 10, and Enterprise Mobility + Security. We’ll explore what this combination of products means for an organisation looking to ensure GDPR compliance and additional Office 365 products that you can layer to help you meet your obligations.
AWS Summit Singapore - Accelerate Digital Transformation through AI-powered C...Amazon Web Services
Andrew McIntyre, Director of Strategic ISV Alliances, Informatica
Modernizing your analytics capabilities to deliver rapid new insights is critical to successfully drive data-driven digital transformation. Many organizations find it challenging to connect, understand and deliver the right data to generate new insights. Learn about the latest patterns, solutions and benefits of Informatica's next-generation Enterprise Data Management platform to unleash the power of your data through the modern cloud data infrastructure of AWS. See how you can accelerate AI-driven next-generation analytics by cataloging and integrating structured and unstructured data from hundreds of data sources from multiple on-premises and cloud data sources.
Five Things to Consider About Data Mesh and Data GovernanceDATAVERSITY
Data mesh was among the most discussed and controversial enterprise data management topics of 2021. One of the reasons people struggle with data mesh concepts is we still have a lot of open questions that we are not thinking about:
Are you thinking beyond analytics? Are you thinking about all possible stakeholders? Are you thinking about how to be agile? Are you thinking about standardization and policies? Are you thinking about organizational structures and roles?
Join data.world VP of Product Tim Gasper and Principal Scientist Juan Sequeda for an honest, no-bs discussion about data mesh and its role in data governance.
Joe Caserta, President at Caserta Concepts presented at the 3rd Annual Enterprise DATAVERSITY conference. The emphasis of this year's agenda is on the key strategies and architecture necessary to create a successful, modern data analytics organization.
Joe Caserta presented What Data Do You Have and Where is it?
For more information on the services offered by Caserta Concepts, visit out website at http://casertaconcepts.com/.
Introducing Trillium DQ for Big Data: Powerful Profiling and Data Quality for...Precisely
The advanced analytics and AI that run today’s businesses rely on a larger volume, and greater variety, of data. This data needs to be of the highest quality to ensure the best possible outcomes, but traditional data quality tools weren’t designed for today’s modern data environments.
That’s why we’ve developed Trillium DQ for Big Data -- an integrated product that delivers industry-leading data profiling and data quality at scale, in the cloud or on premises.
In this on-demand webcast, you will learn how Trillium DQ:
• Empowers data analysts to easily profile large, diverse data sources to discover new insights, uncover issues, and report on their findings – all without involving IT.
• Delivers best-in-class entity resolution to support mission-critical applications such as Customer 360, fraud detection, AML, and predictive analytics.
• Supports Cloud and hybrid architectures by providing consistent high-performance processing within critical time windows on all platforms.
• Keeps enterprise data lakes validated, clean, and trusted with the highest quality data – without technical expertise in big data or distributed architectures.
• Enables data quality monitoring based on targeted business rules for data governance and business insight
In een wereld waarin flexibiliteit en schaalbaarheid van ICT door bijna iedere organisatie vereist wordt én waarin nieuwe wetgeving en cyberdreigingen steeds geavanceerder worden, zijn cloud en security inmiddels thema’s waar we niet langer omheen kunnen. Bij veel organisaties zijn beide onderwerpen dan ook hottopic op de ICT-agenda.
Presentatie van 15 juni 2017
Discovering Big Data in the Fog: Why Catalogs MatterEric Kavanagh
The Briefing Room with Dr. Robin Bloor and Waterline Data
Good enterprise data can drive positive business outcomes. But if that data isn’t organized and accessible, information workers are left with an incomplete picture. Knowing the location, lineage and permissions of data across the enterprise can lead to more accurate and insightful searches, and ultimately, knowledge discovery.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he discusses how the success of big data projects relies on understanding your data. He’ll be briefed by Todd Goldman and Mohan Sadashiva of Waterline Data, who will explain how their solution can facilitate discovery via automation and crowd sourcing. They’ll demonstrate how combining the value of tribal knowledge with rationalized data can enable self-service analytics, improve data governance, and reduce data redundancy.
DAS Slides: Metadata Management From Technical Architecture & Business Techni...DATAVERSITY
Metadata provides context for the “who, what, when, where, and why” of data, and is of critical interest in today’s data-driven business environment. Since metadata is created and used by both business and IT, architectural and organizational techniques need to encompass a holistic approach across the organization to address all audiences. This webinar provides practical ways to manage metadata in your organization using both technical architecture and business techniques.
GDPR Compliance Made Easy with Data VirtualizationDenodo
Companies should be gearing up for May 25, 2018 when the General Data Protection Regulation (GDPR) comes into effect. GPDR will affect how businesses that serve the European Union collect, use and transfer data, forcing them to provide specific reasons and need for the personal data they gather and prove their compliance with the principles established by the regulation.
The regulation is already creating many challenges for companies, including:
• Ensuring secure access to most current data, whether on or off-premise
• Consistent security across all data sources
• Data access audit
• Ability to provide data lineage
This webinar aims to demonstrate how data virtualization has surfaced as a straight-forward solution to many of the challenges and questions brought on by the GDPR. It will also include a case study of how Asurion already achieved the desired level of security with data virtualization.
Watch the webinar in full to learn more about the benefits of using data virtualization to smoothly comply with the GDPR: http://ow.ly/1kzk30bRw3i
Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...Denodo
Watch full webinar here: https://bit.ly/3aALFEC
Data Visualization and Data Virtualization are complementary technologies. But how do they come together under a common data fabric? This presentation will discuss how organizations are advancing their data fabric capabilities leveraging innovations in these two technologies in areas of self-service, data catalog, cloud, and AI/ML.
Similar to ExpertsLive NL 2022 - Microsoft Purview - What's in it for my organization? (20)
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Meetup DIWUG Januari 2024 - Data Loss PreventionAlbert Hoitingh
This presentation was used during the meetup of the Dutch Information Worker User Group (DIwug) on Januari 2024. It covers all aspects of Microsoft Purview Data Loss Prevention, including endpoint DLP.
Microsoft Purview Information Barriers and Communication Compliance and Micro...Albert Hoitingh
In this session for the European Collaboration Summit 2023, I talked about two insider risk prevention components: information barriers and communication compliance.
Scottish Summit 2022 - Microsoft Information Protection de-mystifiedAlbert Hoitingh
In this session for the 2022 edition of the Scottish Summit in Glasgow, I presented on Microsoft Information Protection. Subjects included the different clients, auto-classification, email protection and customization options using PowerShell
Teams Day Online V - Information Barriers - Communication Compliance and Micr...Albert Hoitingh
In this session you will learn about more complex Microsoft 365 (E5) compliance functionality - information barriers (Chinese Walls) and communications compliance.
Modern Workplace Conference 2022 - Paris Microsoft Information Protection Dem...Albert Hoitingh
In this session, I went into any nook and cranny regarding Microsoft Information Protection. Labels, auto-classification, and PowerShell - all were part of this session.
Microsoft 365 Chicago - eDiscovery and Microsoft TeamsAlbert Hoitingh
In this session, the concepts of eDiscovery in Microsoft 365 are discussed, as well as the architecture for Microsoft Teams. We will look at how these work and don't work together.
During this session for Teams Day Online 2021 I explained the concepts of eDiscovery and showed how information from Microsoft Teams can be discovered using core and advanced eDiscovery.
Microsoft 365 Security & Compliance User Group - Microsoft Teams compliance Albert Hoitingh
In this session I discussed the storage locations for the Microsoft Teams components and how to use eDiscovery to get there. I also discussed information protection and information compliance.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
8. DATA
Know and govern your data
Protect your data, wherever and whatever
Improve risk and compliance posture
Integrated – across clouds, apps and endpoints
10. DATA
Challenges for Data Consumers
• There’s no central location to register data sources
• Data-consumption experiences require users to know the connection string
or path.
• Data sources and documentation might live in several places
• There's no explicit connection between the data and the experts that
understand the data's context.
11. DATA
Challenges for Data Producers
• Annotating data sources with descriptive metadata is often a lost effort.
Client applications typically ignore descriptions that are stored in the data
source.
• Creating documentation for data sources can be difficult and it's an
ongoing responsibility to keep documentation in sync with data sources.
Users might not trust documentation that's perceived as being out of date.
• Creating and maintaining documentation for data sources is complex and
time-consuming.
• Restricting access to data sources and ensuring that data consumers know
how to request access is an ongoing challenge.
12. DATA
Challenges for security administrators
• Everything just mentioned and:
• An organization's data is constantly growing and being stored and shared in
new directions. The task of discovering, protecting, and governing sensitive
data is one that never ends.
• How to ensure that the organization's content is being shared with the
correct people, applications, and with the correct permissions.
• Understanding the risk levels in an organization's data requires diving deep
into the content, looking for keywords, RegEx patterns, and sensitive data
types.
• Constantly monitor all data sources for sensitive content, as even the
smallest amount of data loss can be critical to your organization.
• Ensuring that an organization continues to comply with corporate security
policies is a challenging task as the content grows and changes.
13. DATA
On-prem
Cloud
SaaS
Applications
Azure
Synapse
Analytics
Power BI
Azure SQL
SQL Server
Microsoft Purview
Generally Available
Preview
Data Map
Automate and manage metadata at scale
Data Producers and Consumers
Data Catalog
Enable effortless
discovery
of trusted data
Data Sharing
Share data within and
between organizations
Data Policy
Govern access to data
Data Estate Insights
Assess data assets
across
your organization
Data Officers
Unified Data Governance
15. DATA
Collections and Sources
• A graph describing the data assets and their relationships across
your data estate
• Support for 35+ data sources and growing
16. DATA
Scans
• A graph describing the data assets and their
relationships across your data estate
• Support for 35+ data sources and growing
• Automated data scanning, classification and
lineage extraction of hybrid data stores
17. DATA
Classifications
• A graph describing the data assets and their
relationships across your data estate
• Support for 35+ data sources and growing
• Automated data scanning, classification and
lineage extraction of hybrid data stores
• 200+ built-in data classifiers
20. DATA
Lineage
• Semantic search and browse
• Business glossary and workflows
• Data lineage with sources, owners,
transformations, and lifecycle
21. DATA
On-prem
Cloud
SaaS
Applications
Azure
Synapse
Analytics
Power BI
Azure SQL
SQL Server
Microsoft Purview
Generally Available
Preview
Data Map
Automate and manage metadata at scale
Data Producers and Consumers
Data Catalog
Enable effortless
discovery
of trusted data
Data Estate Insights
Assess data assets
across
your organization
Data Officers
Unified Data Governance
23. DATA
On-prem
Cloud
SaaS
Applications
Azure
Synapse
Analytics
Power BI
Azure SQL
SQL Server
Microsoft Purview
Generally Available
Preview
Data Map
Automate and manage metadata at scale
Data Producers and Consumers
Data Catalog
Enable effortless
discovery
of trusted data
Data Sharing
Share data within and
between organizations
Data Estate Insights
Assess data assets
across
your organization
Data Officers
Unified Data Governance
24. DATA
Data Sharing
• Azure Storage
• Azure Data Lake Storage Gen 2
• Not available yet in Europe
• Sharing data in near real time
• Share data in the same Azure Tenant or across Azure Tenants
• Sharing is only supported for storage accounts with the
following redundancy: LRS, GRS, RA-GRS.
25. DATA
On-prem
Cloud
SaaS
Applications
Azure
Synapse
Analytics
Power BI
Azure SQL
SQL Server
Microsoft Purview
Generally Available
Preview
Data Map
Automate and manage metadata at scale
Data Producers and Consumers
Data Catalog
Enable effortless
discovery
of trusted data
Data Sharing
Share data within and
between organizations
Data Policy
Govern access to data
Data Estate Insights
Assess data assets
across
your organization
Data Officers
Unified Data Governance
26. DATA
Data Policy
• Azure Storage
• Azure SQL DB
• Azure Arc Enabled Servers
• Resource Groups - Subscriptions
30. DATA
• Quick Actions, recently accessed items, owned Items, search bar and
Documentation
• Manage Glossary Items, search, manage terms templates and custom
attributes, import and export Terms using csv
• Create collections, register data sources, setup Scans, Integration runtime
• Easily share data between organizations within the Microsoft Purview
governance portal
• Insights on your data Estate
• Manage access to different data systems across your entire data estate.
• Meta Data Management, Security, Workflows, Managed private endpoints,
ADF and data share Connections. Enable Feature options.
Purview Studio - Activity hubs
33. DATA
Complex, continuous and divers
Many regulations | frequent changes | technical controls are complex
Compliance & risk is continuous | not easy to get started
Unstructured data is exploding | 80% is “dark” | 88% of
organizations are not able to detect and/or prevent data loss
Technical security measures decided by (security) IT admins
Maturity level for governance, compliance and risk
34. DATA
Prevent data loss
Know your data
Protect your data
Manage the data life cycle
Guard against (insider) risks
Non-Microsoft cloud
Office 365
Specific services
On-premises
Devices
Structured data
35. DATA
Insider Risk and threats
Compliance
management
Insights and
auditing
Microsoft Information
Protection
Data Lifecycle
Management
Data Loss Prevention
36. DATA
Know your data
Microsoft 365, Defender for
Cloud Apps & Microsoft
Defender for Cloud
• Trainable classifiers
• Sensitive information types
• Exact Data Match
• Document fingerprint
37. DATA
Protect your data
Microsoft Information Protection
• Microsoft 365, on-premises
• Non-Microsoft cloud
• Structured data (Purview)
38. DATA
Retention and deletions
• Legal and regulatory compliance
• Retention policies
• Retention labels
• Microsoft 365
• Data connectors for specific cloud
platform
Data lifecycle management
39. DATA
Prevent data loss
• Microsoft 365
• Devices (endpoints)
• On-premises
• Non-Microsoft cloud
• Structured data (Power BI)
40. DATA
Advanced scenarios
• Insider Risk Management
• Communication Compliance
• Information Barriers
• Priva (privacy management)
• Advanced auditing and logging
• Advanced eDiscovery and holds
51. DATA
Know your data and
its importance
Get to know
Microsoft Purview
Identify data risk and
regulatory
compliance
Protect, prevent and
govern your data –
compliance baseline
Detect and act on risk
activities and
inappropriate messaging
Identify next
steps
54. DATA
• Data governance | classification | protection | insights
• Structured and unstructured data
• Across clouds, apps and devices
• But still expect two portals and some differences for
classification
Unification (somewhat)
1 What is Microsoft Purview? (Erwin)
2 Speaking on unified data governance (Erwin)
3 Tackling risk and compliance (Albert)
4 How to start with Microsoft Purview (Erwin en Albert)
Albert begint met deze slide, Erwin neemt over (rode deel) en begint verhaal
Helps you gain visibility into assets across your entire data estate.
Enables easy access to all your data, security, and risk solutions.
Helps safeguard and manage sensitive data across clouds, apps, and endpoints.
Manages end-to-end data risks and regulatory compliance.
Empowers your organization to govern, protect, and manage data in new, comprehensive ways.
Data MapMakes your data meaningful by graphing your data assets, and their relationships, across your data estate. The data map used to discover data and manage access to that data.
Data CatalogFinds trusted data sources by browsing and searching your data assets. The data catalog aligns your assets with friendly business terms and data classification to identify data sources.
Data Estate InsightsGives you an overview of your data estate to help you discover what kinds of data you have and where.
Data SharingAllows you to securely share data internally or cross organizations with business partners and customers.
Data MapMakes your data meaningful by graphing your data assets, and their relationships, across your data estate. The data map used to discover data and manage access to that data.
Data CatalogFinds trusted data sources by browsing and searching your data assets. The data catalog aligns your assets with friendly business terms and data classification to identify data sources.
Data Estate InsightsGives you an overview of your data estate to help you discover what kinds of data you have and where.
Data SharingAllows you to securely share data internally or cross organizations with business partners and customers.
Data MapMakes your data meaningful by graphing your data assets, and their relationships, across your data estate. The data map used to discover data and manage access to that data.
Data CatalogFinds trusted data sources by browsing and searching your data assets. The data catalog aligns your assets with friendly business terms and data classification to identify data sources.
Data Estate InsightsGives you an overview of your data estate to help you discover what kinds of data you have and where.
Data SharingAllows you to securely share data internally or cross organizations with business partners and customers.
Data MapMakes your data meaningful by graphing your data assets, and their relationships, across your data estate. The data map used to discover data and manage access to that data.
Data CatalogFinds trusted data sources by browsing and searching your data assets. The data catalog aligns your assets with friendly business terms and data classification to identify data sources.
Data Estate InsightsGives you an overview of your data estate to help you discover what kinds of data you have and where.
Data SharingAllows you to securely share data internally or cross organizations with business partners and customers.
Data MapMakes your data meaningful by graphing your data assets, and their relationships, across your data estate. The data map used to discover data and manage access to that data.
Data CatalogFinds trusted data sources by browsing and searching your data assets. The data catalog aligns your assets with friendly business terms and data classification to identify data sources.
Data Estate InsightsGives you an overview of your data estate to help you discover what kinds of data you have and where.
Data SharingAllows you to securely share data internally or cross organizations with business partners and customers.
Data MapMakes your data meaningful by graphing your data assets, and their relationships, across your data estate. The data map used to discover data and manage access to that data.
Data CatalogFinds trusted data sources by browsing and searching your data assets. The data catalog aligns your assets with friendly business terms and data classification to identify data sources.
Data Estate InsightsGives you an overview of your data estate to help you discover what kinds of data you have and where.
Data SharingAllows you to securely share data internally or cross organizations with business partners and customers.
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
Data
Gestructueerd/ongestructureerd
Inzage in
Beschermen
Classificeren
beheren
Labels
Encryption
Structured and unstructured data
On-premises, M365 and other cloud
Files: only labeling, no encryption!
Data typeSourcesAutomatic labeling for files- Azure Blob Storage- Azure Files- Azure Data Lake Storage Gen 1 and Gen 2- Amazon S3Automatic labeling for schematized data assets- SQL server- Azure SQL database- Azure SQL Managed Instance- Azure Synapse Analytics workspaces- Azure Cosmos Database (SQL API)- Azure database for MySQL- Azure database for PostgreSQL- Azure Data Explorer
Files: only labeling, no encryption!
Data typeSourcesAutomatic labeling for files- Azure Blob Storage- Azure Files- Azure Data Lake Storage Gen 1 and Gen 2- Amazon S3Automatic labeling for schematized data assets- SQL server- Azure SQL database- Azure SQL Managed Instance- Azure Synapse Analytics workspaces- Azure Cosmos Database (SQL API)- Azure database for MySQL- Azure database for PostgreSQL- Azure Data Explorer
Data typeSourcesAutomatic labeling for files- Azure Blob Storage- Azure Files- Azure Data Lake Storage Gen 1 and Gen 2- Amazon S3Automatic labeling for schematized data assets- SQL server- Azure SQL database- Azure SQL Managed Instance- Azure Synapse Analytics workspaces- Azure Cosmos Database (SQL API)- Azure database for MySQL- Azure database for PostgreSQL- Azure Data Explorer
Data typeSourcesAutomatic labeling for files- Azure Blob Storage- Azure Files- Azure Data Lake Storage Gen 1 and Gen 2- Amazon S3Automatic labeling for schematized data assets- SQL server- Azure SQL database- Azure SQL Managed Instance- Azure Synapse Analytics workspaces- Azure Cosmos Database (SQL API)- Azure database for MySQL- Azure database for PostgreSQL- Azure Data Explorer
Erwin begint met deze slide
Vanaf punt 3 pakt Albert over en tot en met einde sessie