This session shows via live demonstration the use of Integration Services, Data Quality- and Master Data Services to create a closed loop information management solution, which cleans, standardize, merge and purges data all with the new data curation tools of SQL Server 2012. The session will also cover principals and best practises for each of the technology used.
An introduction to Data Quality Services. DQS enables to discover, build, and manage knowledge about your data. Use that knowledge to perform data cleansing, matching and profiling. We will explore the numerous features and capabilities of Data Quality Services and its integration with SSIS with the DQS Cleansing Transform. Data Quality Services in SQL Server 2012
Introduction to Master Data Services in SQL Server 2012Stéphane Fréchette
What is Master Data Services? Why is it important? - Will discuss Master Data Services capabilities, it's underlying architecture. Will demo creating a model, using SQL Server 2012 MDS add-in for Microsoft Excel, creating hierarchies, business rules and exposing/integrating data with other interfaces (Data Warehouse)
Enterprise Information Management (EIM) in SQL Server 2012Mark Gschwind
These are the slides from my 2013 SQL Saturday presentations in Mountain View and Sacramento. I suggest you view the (newer) videos, as they cover all that material and more. However, here is the session description these slides cover:
A recent survey by Information Week found that data quality is the greatest barrier to BI adoption in enterprises. MDS addresses this challenge with modeling, validation, alerting and security capabilities. In this presentation, you will learn how to use MDS to model your data to ensure correctness, update it with changes from your ERP, and create workflows with notifications. Next you will learn the capabilities of DQS and see how it addresses data standardization, completeness and other challenges. You will then see how to use them together to enable Enterprise Information Management. BI professionals will come away with knowledge on how to use tools that address the greatest risk to success for BI projects - data quality
Webinar: How Banks Manage Reference Data with MongoDBMongoDB
Managing and distributing reference data globally has always been a challenge for financial institutions. Managing and maintaining database schemas while integrating and replicating that data across geographies is costly and time consuming. MongoDB's native replication capabilities and partitioned architecture make it simple to distribute and synchronize data efficiently across the globe. MongoDB’s dynamic schema dramatically reduces database maintenance for schema migrations – data structure changes can be applied with no down time, and with no impact to existing applications.
Master Data Management (MDM) is a feature of Microsoft Dynamics AX 2012 R3 that lets you synchronize master data records across multiple instances of Microsoft Dynamics AX 2012. By creating and maintaining a single copy of master data, you can help guarantee the consistency of important information, such as customer and product data, that is shared across AX 2012 instances
An introduction to Data Quality Services. DQS enables to discover, build, and manage knowledge about your data. Use that knowledge to perform data cleansing, matching and profiling. We will explore the numerous features and capabilities of Data Quality Services and its integration with SSIS with the DQS Cleansing Transform. Data Quality Services in SQL Server 2012
Introduction to Master Data Services in SQL Server 2012Stéphane Fréchette
What is Master Data Services? Why is it important? - Will discuss Master Data Services capabilities, it's underlying architecture. Will demo creating a model, using SQL Server 2012 MDS add-in for Microsoft Excel, creating hierarchies, business rules and exposing/integrating data with other interfaces (Data Warehouse)
Enterprise Information Management (EIM) in SQL Server 2012Mark Gschwind
These are the slides from my 2013 SQL Saturday presentations in Mountain View and Sacramento. I suggest you view the (newer) videos, as they cover all that material and more. However, here is the session description these slides cover:
A recent survey by Information Week found that data quality is the greatest barrier to BI adoption in enterprises. MDS addresses this challenge with modeling, validation, alerting and security capabilities. In this presentation, you will learn how to use MDS to model your data to ensure correctness, update it with changes from your ERP, and create workflows with notifications. Next you will learn the capabilities of DQS and see how it addresses data standardization, completeness and other challenges. You will then see how to use them together to enable Enterprise Information Management. BI professionals will come away with knowledge on how to use tools that address the greatest risk to success for BI projects - data quality
Webinar: How Banks Manage Reference Data with MongoDBMongoDB
Managing and distributing reference data globally has always been a challenge for financial institutions. Managing and maintaining database schemas while integrating and replicating that data across geographies is costly and time consuming. MongoDB's native replication capabilities and partitioned architecture make it simple to distribute and synchronize data efficiently across the globe. MongoDB’s dynamic schema dramatically reduces database maintenance for schema migrations – data structure changes can be applied with no down time, and with no impact to existing applications.
Master Data Management (MDM) is a feature of Microsoft Dynamics AX 2012 R3 that lets you synchronize master data records across multiple instances of Microsoft Dynamics AX 2012. By creating and maintaining a single copy of master data, you can help guarantee the consistency of important information, such as customer and product data, that is shared across AX 2012 instances
Customer-Centric Data Management for Better Customer ExperiencesInformatica
With consumer and business buyer expectations growing exponentially, more businesses are competing on the basis of customer experience. But executing preferred customer experiences requires data about who your customers are today and what will they likely need in the future. Every business can benefit from an AI-powered master data management platform to supply this information to line-of-business owners so they can execute great experiences at scale. This same need is true from an internal business process perspective as well. For example, many businesses require better data management practices to deliver preferred employee experiences. Informatica provides an MDM platform to solve for these examples and more.
More than 70% of Master Data Management fails to reach full ROI due to inadequate implementation. I tried to highlight some of key areas to watch for during MDM implementation.
DRM Webinar Series, PART 2: Concerned You're Not Getting the Most Out of Orac...US-Analytics
Learn the facts about myths around DRM's functionality:
“DRM doesn’t have workflow or change approval.”
“The user interface is too complicated.”
“It can’t manage my mappings.”
“I can’t use it for customer, vendor, and other non-financial master data.”
“DRM doesn’t support a data cleansing or a record matching process to prevent duplicates.”
DRM Webinar Series, PART 3: Will DRM Integrate With Our Applications?US-Analytics
In the third part of the series, we'll debunk myths around integrating DRM:
“It can’t automate or integrate with my non-Oracle products like SAP, Salesforce, Workday, or ServiceNow.”
“DRM doesn’t support a SaaS-based cloud architecture.”
“It doesn’t have delivered support for maintaining Oracle EPM products, like Essbase, Planning, HFM, and PBCS."
DRM Webinar Series, PART 1: Barriers Preventing You From Getting Started?US-Analytics
Data governance guru Greg Briscoe debunks myths about Oracle’s Data Relationship Management (DRM) application. Don't let common misconceptions stop you from getting an amazing return on investment!
Master Data Management (MDM) has been one of the hot technology areas lately. This presentatio gives you a case example from Product MDM case.
Visit Talent Base website: http://www.talentbase.fi/ for more information.
DRM Webinar Series, PART 4: Best Practices, UnlockedUS-Analytics
In the fourth part of this series, we'll show you how to get the most out of DRM, including:
Demystify some of the innermost secrets of DRM — including how to correct mistakes learned from inexperienced consultants and misinformed trainers
Cover how to avoid the most common mistakes we find with client implementations
Give you best-practice examples that will make your implementation run smoothly and provide a scalable, easy-to-maintain application
There’s growing recognition in the analyst community that reference data is a form of master data that requires its own governance. Locations, currency codes, financial accounts, and organizational hierarchies are so widely used in an organization that mismatches can result in: reconciliation issues, poor quality analytics or even transactional failures.
While it’s easy to see how poor reference data management (RDM) can cause problems, many companies struggle with determining how to get started. Multiple questions arise: What’s the scope? How should one choose between RDM solutions? How do I compute ROI? To answer these questions and more, Orchestra Networks teamed up with Aaron Zornes, Chief Research Office of the MDM Institute and Godfather of MDM, for: Everything you ever wanted to know about Reference Data (but were afraid to ask).
In this hour long webcast featuring Aaron Zornes (MDM Institute) and Conrad Chuang (Orchestra Networks) you will learn the:
Characteristics of reference data,
Key features of a reference data management (RDM) solution,
Lessons learned RDM implementations,
and more
Data Governance for EPM Systems with Oracle DRMUS-Analytics
In this training session, data governance guru Greg Briscoe explains how to deploy an enterprise data governance initiative utilizing Oracle's Data Relationship Management (DRM) application.
MDM Institute: Why is Reference data mission critical now?Orchestra Networks
Learn why market-leading enterprises are focusing on RDM in this exclusive webinar from MDM research analyst Aaron Zornes
More than 55% of large enterprises surveyed by the MDM Institute are planning on implementing reference data management (RDM) in the next 18 months.
Why is RDM mission critical today?
How does RDM differ from (how is it similar to) MDM?
What are the top business drivers for RDM?
What are the “top 10” technical evaluation criteria?
Where are most organizations focusing their RDM efforts?
Aaron Zornes, Chief Research Officer of the MDM Institute, answers these questions and more when he reveals findings from the first ever RDM market study based on a 1Q2014 survey of 75+ global 5000 size enterprises.
Best Practices: Data Virtualization Perspectives and Best PracticesDenodo
These are the slides from a presentation given by Rajeev Rangachari, Senior Technology Architect, Infosys at Fast Data Strategy Roadshow in San Francisco. Infosys were the official co sponsors of this event.
For more information about our partners Infosys, follow this link: https://goo.gl/wVy5j4
Database Architechs is a database-focused consulting company for 17 years bringing you the most skilled and experienced data and database experts with a wide variety of service offering covering all database and data related aspects.
Data Governance for the Cloud with Oracle DRMUS-Analytics
Ready to move away from “hope, email and spreadsheets” as a strategy for maintaining system alignments? There’s a better way. Find out how to bring people, processes, and technology together for control over ever-changing enterprise reporting hierarchies and data.
Webinar: How MongoDB is Used to Manage Reference Data - May 2014MongoDB
Managing and distributing reference data globally has always been a challenge for financial institutions. Managing and maintaining database schemas while integrating and replicating that data across geographies is costly and time consuming. MongoDB's native replication capabilities and partitioned architecture make it simple to distribute and synchronize data efficiently across the globe. MongoDB’s dynamic schema dramatically reduces database maintenance for schema migrations – data structure changes can be applied with no down time, and with no impact to existing applications. For example, by migrating its reference data management application to MongoDB, a Tier 1 bank dramatically reduced the license and hardware costs associated with the proprietary relational database it previously ran.
Rethink Your Data Governance - POPI Act Compliance Made Easy with Data Virtua...Denodo
Watch full webinar here: https://bit.ly/2Yc8nkc
The Protection of Personal Information Act (POPI) came into full effect in South Africa on July 1st, 2021. POPI will affect how businesses that serve in South Africa collect, use and transfer data, forcing them to provide specific reasons and needs 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 POPI Act. It will also include a live demonstration of how easy it can be to achieve the desired level of security with data virtualization. Data virtualization is an agile, flexible data integration technology that can help organizations address the growing challenges in data governance, security, and compliance.
Join the webinar to learn more about the benefits of using data virtualization to smoothly comply with the POPI Act.
Do you lose precious time due to data quality problems?
Do you need to integrate data from multiples sources and provide an integrated view of your customer or product attributes to other systems?
SQL Server 2016 Data Quality and Master Data Services can help you.
Customer-Centric Data Management for Better Customer ExperiencesInformatica
With consumer and business buyer expectations growing exponentially, more businesses are competing on the basis of customer experience. But executing preferred customer experiences requires data about who your customers are today and what will they likely need in the future. Every business can benefit from an AI-powered master data management platform to supply this information to line-of-business owners so they can execute great experiences at scale. This same need is true from an internal business process perspective as well. For example, many businesses require better data management practices to deliver preferred employee experiences. Informatica provides an MDM platform to solve for these examples and more.
More than 70% of Master Data Management fails to reach full ROI due to inadequate implementation. I tried to highlight some of key areas to watch for during MDM implementation.
DRM Webinar Series, PART 2: Concerned You're Not Getting the Most Out of Orac...US-Analytics
Learn the facts about myths around DRM's functionality:
“DRM doesn’t have workflow or change approval.”
“The user interface is too complicated.”
“It can’t manage my mappings.”
“I can’t use it for customer, vendor, and other non-financial master data.”
“DRM doesn’t support a data cleansing or a record matching process to prevent duplicates.”
DRM Webinar Series, PART 3: Will DRM Integrate With Our Applications?US-Analytics
In the third part of the series, we'll debunk myths around integrating DRM:
“It can’t automate or integrate with my non-Oracle products like SAP, Salesforce, Workday, or ServiceNow.”
“DRM doesn’t support a SaaS-based cloud architecture.”
“It doesn’t have delivered support for maintaining Oracle EPM products, like Essbase, Planning, HFM, and PBCS."
DRM Webinar Series, PART 1: Barriers Preventing You From Getting Started?US-Analytics
Data governance guru Greg Briscoe debunks myths about Oracle’s Data Relationship Management (DRM) application. Don't let common misconceptions stop you from getting an amazing return on investment!
Master Data Management (MDM) has been one of the hot technology areas lately. This presentatio gives you a case example from Product MDM case.
Visit Talent Base website: http://www.talentbase.fi/ for more information.
DRM Webinar Series, PART 4: Best Practices, UnlockedUS-Analytics
In the fourth part of this series, we'll show you how to get the most out of DRM, including:
Demystify some of the innermost secrets of DRM — including how to correct mistakes learned from inexperienced consultants and misinformed trainers
Cover how to avoid the most common mistakes we find with client implementations
Give you best-practice examples that will make your implementation run smoothly and provide a scalable, easy-to-maintain application
There’s growing recognition in the analyst community that reference data is a form of master data that requires its own governance. Locations, currency codes, financial accounts, and organizational hierarchies are so widely used in an organization that mismatches can result in: reconciliation issues, poor quality analytics or even transactional failures.
While it’s easy to see how poor reference data management (RDM) can cause problems, many companies struggle with determining how to get started. Multiple questions arise: What’s the scope? How should one choose between RDM solutions? How do I compute ROI? To answer these questions and more, Orchestra Networks teamed up with Aaron Zornes, Chief Research Office of the MDM Institute and Godfather of MDM, for: Everything you ever wanted to know about Reference Data (but were afraid to ask).
In this hour long webcast featuring Aaron Zornes (MDM Institute) and Conrad Chuang (Orchestra Networks) you will learn the:
Characteristics of reference data,
Key features of a reference data management (RDM) solution,
Lessons learned RDM implementations,
and more
Data Governance for EPM Systems with Oracle DRMUS-Analytics
In this training session, data governance guru Greg Briscoe explains how to deploy an enterprise data governance initiative utilizing Oracle's Data Relationship Management (DRM) application.
MDM Institute: Why is Reference data mission critical now?Orchestra Networks
Learn why market-leading enterprises are focusing on RDM in this exclusive webinar from MDM research analyst Aaron Zornes
More than 55% of large enterprises surveyed by the MDM Institute are planning on implementing reference data management (RDM) in the next 18 months.
Why is RDM mission critical today?
How does RDM differ from (how is it similar to) MDM?
What are the top business drivers for RDM?
What are the “top 10” technical evaluation criteria?
Where are most organizations focusing their RDM efforts?
Aaron Zornes, Chief Research Officer of the MDM Institute, answers these questions and more when he reveals findings from the first ever RDM market study based on a 1Q2014 survey of 75+ global 5000 size enterprises.
Best Practices: Data Virtualization Perspectives and Best PracticesDenodo
These are the slides from a presentation given by Rajeev Rangachari, Senior Technology Architect, Infosys at Fast Data Strategy Roadshow in San Francisco. Infosys were the official co sponsors of this event.
For more information about our partners Infosys, follow this link: https://goo.gl/wVy5j4
Database Architechs is a database-focused consulting company for 17 years bringing you the most skilled and experienced data and database experts with a wide variety of service offering covering all database and data related aspects.
Data Governance for the Cloud with Oracle DRMUS-Analytics
Ready to move away from “hope, email and spreadsheets” as a strategy for maintaining system alignments? There’s a better way. Find out how to bring people, processes, and technology together for control over ever-changing enterprise reporting hierarchies and data.
Webinar: How MongoDB is Used to Manage Reference Data - May 2014MongoDB
Managing and distributing reference data globally has always been a challenge for financial institutions. Managing and maintaining database schemas while integrating and replicating that data across geographies is costly and time consuming. MongoDB's native replication capabilities and partitioned architecture make it simple to distribute and synchronize data efficiently across the globe. MongoDB’s dynamic schema dramatically reduces database maintenance for schema migrations – data structure changes can be applied with no down time, and with no impact to existing applications. For example, by migrating its reference data management application to MongoDB, a Tier 1 bank dramatically reduced the license and hardware costs associated with the proprietary relational database it previously ran.
Rethink Your Data Governance - POPI Act Compliance Made Easy with Data Virtua...Denodo
Watch full webinar here: https://bit.ly/2Yc8nkc
The Protection of Personal Information Act (POPI) came into full effect in South Africa on July 1st, 2021. POPI will affect how businesses that serve in South Africa collect, use and transfer data, forcing them to provide specific reasons and needs 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 POPI Act. It will also include a live demonstration of how easy it can be to achieve the desired level of security with data virtualization. Data virtualization is an agile, flexible data integration technology that can help organizations address the growing challenges in data governance, security, and compliance.
Join the webinar to learn more about the benefits of using data virtualization to smoothly comply with the POPI Act.
Do you lose precious time due to data quality problems?
Do you need to integrate data from multiples sources and provide an integrated view of your customer or product attributes to other systems?
SQL Server 2016 Data Quality and Master Data Services can help you.
Denodo 6.0: Self Service Search, Discovery & Governance using an Universal Se...Denodo
Presentation slides taken from Fast Data Strategy Roadshow San Francisco Bay Area.
For more Denodo 6-0 demos, please follow this link:https://goo.gl/XkxJjX
Why BI ?
Performance management
Identify trends
Cash flow trend
Fine-tune operations
Sales pipeline analysis
Future projections
business Forecasting
Decision Making Tools
Convert data into information
How to Think ?
What happened?
What is happening?
Why did it happen?
What will happen?
What do I want to happen?
Virtualisation de données : Enjeux, Usages & BénéficesDenodo
Watch full webinar here: https://bit.ly/3oah4ng
Gartner a récemment qualifié la Data Virtualisation comme étant une pièce maitresse des architectures d’intégration de données.
Découvrez :
- Les bénéfices d’une plateforme de virtualisation de données
- La multiplication des usages : Lakehouse, Data Science, Big Data, Data Service & IoT
- La création d’une vue unifiée de votre patrimoine de données sans transiger sur la performance
- La construction d’une architecture d’intégration Agile des données : on-premise, dans le cloud ou hybride
I built this presentation for Informatica World in 2006. It is all about Data Administration, Data Quality and Data Management. It is NOT about the Informatica product. This presentation was a hit, with standing room only full of about 150 people. The content is still useful and applicable today. If you want to use my material, please put (C) Dan Linstedt, all rights reserved, http://LearnDataVault.com
Cloud Modernization and Data as a Service OptionDenodo
Watch: https://bit.ly/2E99UNO
The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms. Cloud has become a key component of modern architecture design. Data lakes, IoT, NoSQL, SaaS, etc. coexist with relational databases to fuel the needs of modern analytics, ML and AI. Exploring and understanding the data available within your organization is a time-consuming task. And all of this without even knowing if that data will be useful at all.
Attend this session to learn:
- How dynamic data challenges and the speed of change requires a new approach to data architecture.
- Learn how logical data architecture can enable organizations to transition data faster to the cloud with zero downtime.
- Explore how data as a service and other API management capabilities is a must in a hybrid cloud environment.
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalHarvinder Atwal
Title
DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed.
Synopsis
● According to recent research, just 7.3% of organisations say the state of their data and analytics is excellent, and only 22% of companies are currently seeing a significant return from data science expenditure.
● Poor returns on data & analytics investment are often the result of applying 20th-century thinking to 21st-century challenges and opportunities.
● Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product.
● Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills.
● Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products.
● A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals.
Data Virtualization for Data Architects (Australia)Denodo
Watch full webinar here: https://bit.ly/35sp2Q0
Success or failure in the digital age will be determined by how effectively organisations manage their data. The speed, diversity and volume of data present today can overwhelm older data architectures, leaving business leaders lacking the insight and operational agility needed to respond to market opportunity or competitive challenges.
With the pace of today’s business, modernisation of a data architecture must be seamless, and ideally, built on existing capabilities. This webinar explores how data virtualization can help provide a seamless evolution to the capabilities of an existing data architecture without business disruption.
You will discover:
- How to modernise your data architectures without disturbing the existing analytical workload
- How to extend your data architecture to more quickly exploit existing, and new sources of data
- How to enable your data architecture to present more low latency data
During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability.
The speakers brought together best practice techniques with Apache Spark to achieve complete CDI.
Speakers:
Joe Caserta, President, Caserta Concepts
Kevin Rasmussen, Big Data Engineer, Caserta Concepts
Vida Ha, Lead Solutions Engineer, Databricks
The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included:
· Building an end-to-end CDI pipeline in Apache Spark
· What works, what doesn’t, and how do we use Spark we evolve
· Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior
· Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching
· Using GraphX for matching and scalable clustering
· Analyzing large data files with Spark
· Using Spark for ETL on large datasets
· Applying Machine Learning & Data Science to large datasets
· Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally
The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for.
For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/
Watch Alberto's presentation from Fast Data Strategy on-demand here: https://goo.gl/CRjYuD
In this session, we will review Denodo Platform 7.0 key capabilities.
Watch this session to learn more about:
• The vision behind the Denodo Platform
• The new data catalog and self-service features of Denodo Platform 7.0
• The new connectivity, data transformation, and enterprise-wide deployment features
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
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)Denodo
Watch full webinar here: https://bit.ly/34iCruM
Many organizations are embarking on strategically important journeys to embrace data and analytics. The goal can be to improve internal efficiencies, improve the customer experience, drive new business models and revenue streams, or – in the public sector – provide better services. All of these goals require empowering employees to act on data and analytics and to make data-driven decisions. However, getting data – the right data at the right time – to these employees is a huge challenge and traditional technologies and data architectures are simply not up to this task. This webinar will look at how organizations are using Data Virtualization to quickly and efficiently get data to the people that need it.
Attend this session to learn:
- The challenges organizations face when trying to get data to the business users in a timely manner
- How Data Virtualization can accelerate time-to-value for an organization’s data assets
- Examples of leading companies that used data virtualization to get the right data to the users at the right time
KASHTECH AND DENODO: ROI and Economic Value of Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3sumuL5
Join KashTech and Denodo to discover how Data Virtualization can help accelerate your time-to-value from data while reducing the costs at the same time.
Gartner has predicted that organizations using Data Virtualization will spend 40% less on data integration than those using traditional technologies. Denodo customers have experienced time-to-deliver improvements of up to 90% within their data provisioning processes and cost savings of 50% or more. As Rod Tidwell (Cuba Gooding Jr.) said in the movie 'Jerry Maguire', "Show me the money!"
Register to attend and learn how Data Virtualization can:
- Accelerate the delivery of data to users
- Drive digital transformation initiatives
- Reduce project costs and timelines
- Quickly deliver value to your organization
Similar to SQLSaturday #188 - Enterprise Information Management (20)
In this session we will take a look at Azure Data Lake from an administrator's perspective.
Do you know who has what access where? How much data is in your data lake? What about the accesses to the data lake, is everything running normally?
In this session we will show you what possibilities the portal offers you to keep an eye on the Azure Data Lake. In addition, we will show you further scripts and tools to perform the corresponding tasks.
Dive with us into the depths of your Data Lake.
Embrace and extend first-class activity and 3rd party ecosystem for ssis in adfTillmann Eitelberg
This session focuses on the deeper integration of SQL Server Integration Services (SSIS) in Azure Data Factory (ADF) and the broad extensibility of Azure-SSIS Integration Runtime (IR). We will first show you how to provision Azure-SSIS IR – dedicated ADF servers for lifting & shifting SSIS packages – and extend it with custom/3rd party components. Preserving your skillsets, you can then use the familiar SQL Server Data Tools (SSDT)/SQL Server Management Studio (SSMS) to design/deploy/configure/execute/monitor your SSIS packages in the cloud just like you do on premises. Next, we will guide you to trigger/schedule SSIS package executions as first-class activities in ADF pipelines and combine/chain them with other activities, allowing you to inject/splice built-in tasks/data transformations in your ETL/ELT workflows, automatically provision Azure-SSIS IR on demand/just in time, etc. And finally, you will learn about the licensing model for ISVs to develop paid components/extensions and join the growing 3rd party ecosystem for SSIS in ADF with a few examples from our partners.
IoT is often associated with developer boards such as the Raspberry PI or Arduino. However, IoT has not only played an important role under the slogan "Industry 4.0", many industry companies are using IoT in their production lines since years.
To show the potential of the Azure IoT in connection with industry components, we have took a conveyor belt, a sorting unit and sensor technologies built-in in a small flightcase. All these industry components are communicating directly to an Azure IoT Hub.
See how we can analyze the generated data with Stream Analytics and building Power BI dashbaords with streaming data. We will also show how we can interact with the components via cloud 2 device messages if the analysis shows errors or disfunctionalities and how Cortana Analytics can help minimize errors.
f people think about big data, they always think about Twitter or Facebook. But there are other areas where much more data amounts incurred and the analyzes are more complex. In this talk, we talk about a real example from bioinformatics. We will explain the actual scenario and how the various Microsoft platforms from SQL Server to Azure Analytics and HDInsight could help us – or not.
Google Analytics is the most popular web analytics system. Almost every webpage, whether it’s a private blog or large e-commerce site, uses Google Analytics. This session will cover essential information about Google Analytics and its API guidelines, competitors, and most important, how you can use the data from such offerings together with your ERP, CRM, and other OLTP systems. You will see how to load Google Analytics data using SQL Server Integration Services, for example, and merge that data with your local data. In addition, we will walk through a demonstration of important web analytics KPIs and how you can analyze them using Microsoft Business Intelligence tools
With the new Power BI Preview Microsoft brings more Self-service BI functionality to the users. In this session we will look from a different perspective to the offering: What about Governance, Application LifeCycle, Enterprise Integration? We will review what is currently possible in the preview for sharong querys, integrating the cloud offering with your enterprise data sources, monitoring datasources and gateways and what is possible to use it on Windows Mobile devices.
Mit dem Data Quality Client steht dem Data Steward ein Endbenutzer konformes Produkt zur Verfügung, mit dem er schnell und einfach Daten bereinigen, standardisieren und mit zusätzlichen Informationen anreichern kann. Aber auch mit Excel oder den SQL Server Integration Services kann auf die Data Quality Services zugegriffen werden. In dieser Session zeigen wir, wie DQS in andere Umgebungen integriert werden kann, welche Möglichkeiten sich daraus ergeben und was dabei zu beachten ist.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
By Design, not by Accident - Agile Venture Bolzano 2024
SQLSaturday #188 - Enterprise Information Management
1. Closed Loop in Enterprise
Information Management
Oliver Engels & Tillmann Eitelberg
2. Who we are
Oliver:
CEO of oh22data AG, German MS Gold Partner
SQL MVP, Microsoft vTSP
Tillmann:
CTO of oh22information services GmbH
Both:
PASS Germany Board Members
Regional Mentors for Germany
SQL Information Services Advisory Board Members
Data Quality Maniacs
4. What Are Your Professional Development
Goals?
I want to take
the path from
DBA to Data
Analytics Guru
I want to
upgrade
my skills
I want to
give my
career a
competitive
edge
I want to expand
my network in the
business analytics
industry
Sound familiar? Get a head start and join us today at:
www.passbaconference.com
#passbac
Enjoy $150 off registration: use code CHM2D
5. Upcoming SQL Server events:
XXXIII Encontro da Comunidade SQLPort
Data Evento: 23 Abril 2013 - 18:30
Local do Evento: Auditório Microsoft, Parque das Nações, Lisboa
18:30 - Abertura e recepção.
19:10 - "Analyzing Twitter Data" - Niko Neugebauer (SQL Server MVP, Community Evangelist –
PASS)
20:15 - Coffee break
20:30 - "First Approach to SQL Server Analysis Services" - João Fialho (Consultor BI Independente)
21:30 - Sorteio de prémios
XXXIV Encontro da Comunidade SQLPort
Data Evento: 7 Maio 2013 - 19:00
Local do Evento: Porto
18:30 - Abertura e recepção.
19:00 - «Apresentação para Developers» - para definir
20:15 - Coffee break
20:30 - «Apresentação para definir» - para definir
21:30 - Sorteio de prémios
6. Volunteers:
They spend their FREE time to give you this
event. (2 months per person)
Because they are crazy.
Because they want YOU
to learn from the BEST IN THE WORLD.
If you see a guy with “STAFF” on their back –
buy them a beer, they deserve it.
12. Take aways
EIM. SQL IS. Data Curation…. what? Give
some explanations
Understanding of the building bricks of EIM in
the Microsoft BI Stack: SSIS, DQS, MDS
Closed loop: Bring’em all together
What’s possible
If time allow: First impressions on Selfservice
ETL: Data Explorer Preview
15. Definition:
EIM: Enterprise Information Management
Wiki:
Enterprise information management combines
business intelligence (BI) and enterprise content
management (ECM)
Where BI and ECM respectively manage structured
and unstructured information, EIM does not make this
"technical" distinction.
It approaches the management of information from
the perspective of enterprise information strategy,
based on the needs of information workers.
16. Definition: SQL Information Services
SQL Information Service charter:
Enrich enterprise data with the world’s data
Empower developers to build new services and
applications
Connecting with the
world’s data to turn data
into action
Vibrant marketplace ecosystem for the world’s
data
SQL Information Services
17. IT Pro
Knowledge Worker
Surface all
information as a
service to the
organization,
while maintaining
the right level of
control
Enable any user to find
reliable, trusted
information needed
to do their job
discover
secure
create
govern
clean
curate
publish
operationalize
recommend
transform
analyze
Developer
Immediate access to
the data and services
they need to build new
services and applications
Data Analyst
Democratize the broad
adoption of advanced
analytics to empower
businesses
18. SQL Information Services Portfolio
Building the tools for Enterprise Information
Management
Integration
Services
BizTalk
Master
Data Services
Data
Quality Services
Data Explorer
Big Data
Azure
Data Market
Stream
Insight
Other
IS Tools
19. Data curation
Data curation components for EIM
Data Quality Services
Master Data Services
Manage
Cleanse
SSIS/BizTalk
Integrate
20. Discover and
Access Data
and Services
PoC: Role definiton
Mash, Improve
Quality, Enrich
and Analyze
Share and
Collaborate
Information
Worker
Simplified, trusted
consumption of data
Data Steward
Data Management
ITProfessional
Service
Management
Provision, Deploy,
Maintain SLA
Publish
Add data sources to source
catalog
Investigate
Identify Data usage
Artifacts and data relations issues
Monitor usage
Govern
Assess, configure and oversee
Respond to
incidents
Manage Assets
Usage and Policy
Improve Quality of
Data and Metadata
Cleanse, Enrich, Curate
Build the plumbing,
Connect the assets
to the service
23. DQS: Data Quality Services
Main driver for data quality: Costs!
Data quality cost
Costs because of
bad data quality
Cost of optimizing
data quality
Direct
Prevention
Indirect
Discovery
Cleansing
24. DQS: Data Quality Services
Microsoft's DQM approach:
Data Quality Services (DQS)
is a Knowledge-Driven data quality solution
enabling data stewards to easily improve the
quality of their data
Easy = Information Worker Driven
Knowledge driven =
Capturing knowledge of good and bad
data in knowledge base
25
25. DQS: Data Quality Services
Domain concept
Domain (e.g. Street) has
Domain values
(List of correct and incorrect values)
Reference data
(External data references, e.g. D&B)
Rules
(Proofing if data is valid or invalid)
Termbased Relations
(Change abreviations)
26
27. DQS: Data Quality Services
Domain values
List of values
By Excel Import
By knowledge
discovery
By hand
Correction values
Invalid values
29. DQS: Data Quality Services
Reference data (RDS)
External cloud or on premise data streams
with enrichment functions
30. DQS: Data Quality Services
Reference data (RDS)
DQS delivers the address, RDS Service
delivers the correction or the geocode
DQS delivers the name and address RDS
service delivers the new address if moved
All kind of services available
Exchange rates, Translations, Geocoding,
Gender definition
32. DQS: Data Quality Services
Matching
Second functionality in DQS. Detection of
redundant data. After the cleaning values are
standardized and good for comparison processes
No simple comparison! Comparison will be
handled through complex fuzzy algorithms based
on matching policies the data steward will test
and setup
33
34. DQS: Data Quality Services
Uncleaned
data
Standardized, structure
and enrich
Discover
redundancy
Classified
data
Monitoring
Azure
Discovery
Reference
Data
Domain
Values
Uncleaned
data
Matching
Cleansing
Rules
Knowledge
Base (KB)
Termbased
Relations
Cleaned
data
Policy
Classification
Profiling & Notifications
37. MDS: Master Data Services
Problem in EIM
Heterogenic system environment with several line
of business application [LOB] who produce and
consume data from identical business entities
Core identities
Customer
Product
Chart of accounts etc.
Operational and Analytical Problem:
39
39. MDS: Master Data Services
Operational MDM
LOB‘s write and read from MDM to achieve a
single point of trouth
MDM enforcing the single point of truth [SPOT]
through rules, security, versioning
LOB systems provide and consume the SPOT of
an entity and the related attributes
Open interfaces for data exchange
All by an LOB indipendend UI
41
40. MDS: Master Data Services
Analytical MDM
Instead of loading the data from different LOBs to
the DWH landing area and standardize it in the
stage the MDM solution is the gatekeeper
The gatekeeper function of MDM will be achieved
through rules, standardized hierarchies,
versioning, approvals workflows, dimension
modeling (SCD etc.)
All by an LOB indipendend UI
42
48. MDS: Master Data Services
Business Rules:
Allows Data Owners to validate data without
writing T-SQL
Compiled into Stored Procedures
Uses IF..THEN Structures
Can use AND & OR Logical Operators, to create
Complex Rules up to 7 levels
Rules using OR Logical Operator can be broken
down into simpler rules
Applied to Attribute Members for it’s validation
50
49. MDS: Master Data Services
Business rules accommodate various
requirements
Connecting data sources and set overrides
Multi-level processes
Workflow and approval – internal (Master Data
Services) and external (Service Broker > SharePoint)
Multiple or compound business rules provide for more
complex requirements
Logical operators (AND / OR)
Control priority of activation
Enable/disable rules
51
50. MDS: Master Data Services
Rolebased user access
for master data stewards
Stream
Excel Add In
Silverlight UI
MDS App
LOB [1-n]
DWH
LOB
SSIS
BizTalk
MDS DB
SQL
Views
Stage
Table
Subscription
Views
52. EIM: Closed Loop
Combine MDS and DQS Functionalities
Use Integration Services to build a closed
loop workflow:
DQS Knowledge base for cleaning
MDS Model for standardization and audit
SSIS for data import, control flow and export
53. EIM Closed Loop
Demo case:
Sample available as download from MS for
everybody to play with (
Today using new SSDT 2012
)
http://www.microsoft.com/en-us/download/details.aspx?id=35462
54. EIM Closed
Business case:
Supplier Data List from External
Need to be checked if new suppliers are available
New data need to be proofed against data quality
standards set up by the Data Steward
Correct/Corrected data need to be validated
against Master Data Management to apply
business rules and add new data to the master
56. EIM Closed Loop
Version 2 (Advanced version)
Cleaning
with DQS KB
Source
Split
Union
for
MDS
Review by
MDS Data
Steward
Union
for
DQS
Correct
Review by
DQS Data
Steward
New
Lookup Up
MDS via ID
Corrected
No
Match
Lookup
corrected
MDS
Yes
Union
Data stream
Yes
>= Confidence
No
Match
Split
< Confidence
Stage