At EA Connect Days 2018 in Bonn, LeanIX CEO André Christ talked about his vision for the future of Enterprise Architecture new features and the roadmap for LeanIX.
Gartner EA: The Rise of Data-driven ArchitecturesLeanIX GmbH
LeanIX CEO André Christ's presentation from the 2019 Gartner Enterprise Architecture & Technology Innovation Summit in Orlando: Changing demands on Enterprise Architects require different approaches to tooling. The need to provide fast, smart answers to challenging business questions means switching from diagram-driven to data-driven architecture. The switch takes architecture from being used by the few, to a point where your whole organization is benefiting from and using the architecture you create every day!
At the CodeTalks conference 2017 in Hamburg, LeanIX presented their lessons learned for GraphQL, a new alternative for building REST APIs which was introduced by Facebook.
How to Build Data Governance Programs That Last: A Business-First ApproachPrecisely
Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves governance leaders and data stewards having to continually make the case for data governance to secure business adoption.
In this introductory session, we will share the core components of a business-first data governance approach that promotes organizational adoption, lays the foundation for data integrity, and consistently delivers business value for the long term.
Think of big data as all data, no matter what the volume, velocity, or variety. The simple truth is a traditional on-prem data warehouse will not handle big data. So what is Microsoft’s strategy for building a big data solution? And why is it best to have this solution in the cloud? That is what this presentation will cover. Be prepared to discover all the various Microsoft technologies and products from collecting data, transforming it, storing it, to visualizing it. My goal is to help you not only understand each product but understand how they all fit together, so you can be the hero who builds your companies big data solution.
Welcome to my post on ‘Architecting Modern Data Platforms’, here I will be discussing how to design cutting edge data analytics platforms which meet the ever-evolving data & analytics needs for the business.
https://www.ankitrathi.com
Google Cloud Dataproc - Easier, faster, more cost-effective Spark and Hadoophuguk
At Google Cloud Platform, we're combining the Apache Spark and Hadoop ecosystem with our software and hardware innovations. We want to make these awesome tools easier, faster, and more cost-effective, from 3 to 30,000 cores. This presentation will showcase how Google Cloud Platform is innovating with the goal of bringing the Hadoop ecosystem to everyone.
Bio: "I love data because it surrounds us - everything is data. I also love open source software, because it shows what is possible when people come together to solve common problems with technology. While they are awesome on their own, I am passionate about combining the power of open source software with the potential unlimited uses of data. That's why I joined Google. I am a product manager for Google Cloud Platform and manage Cloud Dataproc and Apache Beam (incubating). I've previously spent time hanging out at Disney and Amazon. Beyond Google, love data, amateur radio, Disneyland, photography, running and Legos."
Considerations for Data Access in the LakehouseDatabricks
Organizations are increasingly exploring lakehouse architectures with Databricks to combine the best of data lakes and data warehouses. Databricks SQL Analytics introduces new innovation on the “house” to deliver data warehousing performance with the flexibility of data lakes. The lakehouse supports a diverse set of use cases and workloads that require distinct considerations for data access. On the lake side, tables with sensitive data require fine-grained access control that are enforced across the raw data and derivative data products via feature engineering or transformations. Whereas on the house side, tables can require fine-grained data access such as row level segmentation for data sharing, and additional transformations using analytics engineering tools. On the consumption side, there are additional considerations for managing access from popular BI tools such as Tableau, Power BI or Looker.
The product team at Immuta, a Databricks partner, will share their experience building data access governance solutions for lakehouse architectures across different data lake and warehouse platforms to show how to set up data access for common scenarios for Databricks teams new to SQL Analytics.
Gartner EA: The Rise of Data-driven ArchitecturesLeanIX GmbH
LeanIX CEO André Christ's presentation from the 2019 Gartner Enterprise Architecture & Technology Innovation Summit in Orlando: Changing demands on Enterprise Architects require different approaches to tooling. The need to provide fast, smart answers to challenging business questions means switching from diagram-driven to data-driven architecture. The switch takes architecture from being used by the few, to a point where your whole organization is benefiting from and using the architecture you create every day!
At the CodeTalks conference 2017 in Hamburg, LeanIX presented their lessons learned for GraphQL, a new alternative for building REST APIs which was introduced by Facebook.
How to Build Data Governance Programs That Last: A Business-First ApproachPrecisely
Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves governance leaders and data stewards having to continually make the case for data governance to secure business adoption.
In this introductory session, we will share the core components of a business-first data governance approach that promotes organizational adoption, lays the foundation for data integrity, and consistently delivers business value for the long term.
Think of big data as all data, no matter what the volume, velocity, or variety. The simple truth is a traditional on-prem data warehouse will not handle big data. So what is Microsoft’s strategy for building a big data solution? And why is it best to have this solution in the cloud? That is what this presentation will cover. Be prepared to discover all the various Microsoft technologies and products from collecting data, transforming it, storing it, to visualizing it. My goal is to help you not only understand each product but understand how they all fit together, so you can be the hero who builds your companies big data solution.
Welcome to my post on ‘Architecting Modern Data Platforms’, here I will be discussing how to design cutting edge data analytics platforms which meet the ever-evolving data & analytics needs for the business.
https://www.ankitrathi.com
Google Cloud Dataproc - Easier, faster, more cost-effective Spark and Hadoophuguk
At Google Cloud Platform, we're combining the Apache Spark and Hadoop ecosystem with our software and hardware innovations. We want to make these awesome tools easier, faster, and more cost-effective, from 3 to 30,000 cores. This presentation will showcase how Google Cloud Platform is innovating with the goal of bringing the Hadoop ecosystem to everyone.
Bio: "I love data because it surrounds us - everything is data. I also love open source software, because it shows what is possible when people come together to solve common problems with technology. While they are awesome on their own, I am passionate about combining the power of open source software with the potential unlimited uses of data. That's why I joined Google. I am a product manager for Google Cloud Platform and manage Cloud Dataproc and Apache Beam (incubating). I've previously spent time hanging out at Disney and Amazon. Beyond Google, love data, amateur radio, Disneyland, photography, running and Legos."
Considerations for Data Access in the LakehouseDatabricks
Organizations are increasingly exploring lakehouse architectures with Databricks to combine the best of data lakes and data warehouses. Databricks SQL Analytics introduces new innovation on the “house” to deliver data warehousing performance with the flexibility of data lakes. The lakehouse supports a diverse set of use cases and workloads that require distinct considerations for data access. On the lake side, tables with sensitive data require fine-grained access control that are enforced across the raw data and derivative data products via feature engineering or transformations. Whereas on the house side, tables can require fine-grained data access such as row level segmentation for data sharing, and additional transformations using analytics engineering tools. On the consumption side, there are additional considerations for managing access from popular BI tools such as Tableau, Power BI or Looker.
The product team at Immuta, a Databricks partner, will share their experience building data access governance solutions for lakehouse architectures across different data lake and warehouse platforms to show how to set up data access for common scenarios for Databricks teams new to SQL Analytics.
Building an Effective Data & Analytics Operating Model A Data Modernization G...Mark Hewitt
This is the age of analytics—information resulting from the systematic analysis of data.
Insights gained from applying data and analytics to business allows large and small organizations across diverse industries—be it healthcare, retail, manufacturing, financial, or others—to identify new opportunities, improve core processes, enable continuous learning and differentiation, remain competitive, and thrive in an increasingly challenging business environment.
The key to building a data-driven practice is a Data and Analytics Operating Model (D&AOM) which enables the organization to establish standards for data governance, controls for data flows (both within and outside the organization), and adoption of appropriate technological innovations.
Success measures of a data initiative may include:
• Creating a competitive advantage by fulfilling unmet needs,
• Driving adoption and engagement of the digital experience platform (DXP),
• Delivering industry standard data and metrics, and
• Reducing the lift on service teams.
This green paper lays out the framework for building and customizing an effective data and analytics operating model.
Pitch Presentation of LeanIX at the PwC Accelerator Expo 2015 in Berlin. Co-Founder André Christ of LeanIX has pitched as one of 12 highly promising startups in front of corporates and investors.
LeanIX offers an innovative software-as-a-service solution for Enterprise Architecture Management (EAM), based either in a public cloud or the client’s data center.
Companies like Adidas, Axel Springer, Helvetia, RWE, Trusted Shops and Zalando use LeanIX Enterprise Architecture Management tool.
Free Trial: http://bit.ly/LeanIXDemoS
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
Getting started with with SharePoint SyntexDrew Madelung
SharePoint Syntex brings advanced content services solutions into your existing SharePoint environment but is it something that will help you? In this session we will go through what SharePoint Syntex is, how it works, and why it could be an important part of your enterprise in Microsoft 365.
Learn to Use Databricks for Data ScienceDatabricks
Data scientists face numerous challenges throughout the data science workflow that hinder productivity. As organizations continue to become more data-driven, a collaborative environment is more critical than ever — one that provides easier access and visibility into the data, reports and dashboards built against the data, reproducibility, and insights uncovered within the data.. Join us to hear how Databricks’ open and collaborative platform simplifies data science by enabling you to run all types of analytics workloads, from data preparation to exploratory analysis and predictive analytics, at scale — all on one unified platform.
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.
DAS Slides: Data Quality Best PracticesDATAVERSITY
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Active Governance Across the Delta Lake with AlationDatabricks
Alation provides a single interface to provide users and stewards to provide active and agile data governance across Databricks Delta Lake and Databricks SQL Analytics Service. Understand how Alation can expand adoption in the data lake while providing safe and responsible data consumption.
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
So you got a handle on what Big Data is and how you can use it to find business value in your data. Now you need an understanding of the Microsoft products that can be used to create a Big Data solution. Microsoft has many pieces of the puzzle and in this presentation I will show how they fit together. How does Microsoft enhance and add value to Big Data? From collecting data, transforming it, storing it, to visualizing it, I will show you Microsoft’s solutions for every step of the way
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.
In an era when many IT organizations are transforming themselves from cost centers into business enablers, the maturity of an organization’s approach to infrastructure monitoring becomes critical. The IT operations team must move beyond ad hoc monitoring and embrace an approach that actively optimizes the infrastructure for business innovation and agility. A maturity model for infrastructure monitoring offers enterprises guidance on how to achieve that goal.
These slides - baesd on the webinar featuring Shamus McGillicuddy, senior analyst at leading IT analyst firm Enterprise Management Associates (EMA), and Scott Frymire, director of marketing at SevOne - examine:
- The functional capabilities that are required of a mature monitoring platform
- The cultural and process-oriented aspects of a mature IT operations team
- SevOne’s product-agnostic, five-stage maturity model for infrastructure monitoring
Data and AI summit: data pipelines observability with open lineageJulien Le Dem
Presentation of Data lineage an Observability with OpenLineage at the "Data and AI summit" (formerly Spark summit). With a focus on the Apache Spark integration for OpenLineage
Fraud Detection with Graphs at the Danish Business AuthorityNeo4j
Traditional fraud prevention measures focus on discrete data points such as specific accounts, individuals, devices or IP addresses. However, today’s sophisticated fraudsters escape detection by forming fraud rings with individuals paid, lured into or unknowingly fronting these activities. To uncover such fraud rings and the people behind them, it is essential to look beyond individual data points to the connections that link them.
Neo4j uncovers difficult-to-detect patterns that far outstrip the power of a relational database. Enterprise organisations use Neo4j to augment their existing fraud detection capabilities to combat a variety of financial crimes including first-party bank fraud, credit card fraud, ecommerce fraud, insurance fraud and money laundering – and all in real time.
Learn more how to battle fraud with the power of graph databases during this webinar. We are pleased to invite you to hear Marius Hartmann from Danish Business Authority talking about how they are combining graph analysis with machine learning to prevent fraud. In context of the COVID-19 compensation scheme controls, he will present use cases currently in production and explain why graph is a good fit for government authorities.
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how data architecture is a key component of an overall enterprise architecture for enhanced business value and success.
LoQutus: (Technical) Using LeanIX to fully exploit your Enterprise Architectu...LoQutus
LoQutus: (Technical) Using LeanIX to fully exploit your Enterprise Architecture information within your organisation: Reporting & integration capabilities with GraphQL.
Building an Effective Data & Analytics Operating Model A Data Modernization G...Mark Hewitt
This is the age of analytics—information resulting from the systematic analysis of data.
Insights gained from applying data and analytics to business allows large and small organizations across diverse industries—be it healthcare, retail, manufacturing, financial, or others—to identify new opportunities, improve core processes, enable continuous learning and differentiation, remain competitive, and thrive in an increasingly challenging business environment.
The key to building a data-driven practice is a Data and Analytics Operating Model (D&AOM) which enables the organization to establish standards for data governance, controls for data flows (both within and outside the organization), and adoption of appropriate technological innovations.
Success measures of a data initiative may include:
• Creating a competitive advantage by fulfilling unmet needs,
• Driving adoption and engagement of the digital experience platform (DXP),
• Delivering industry standard data and metrics, and
• Reducing the lift on service teams.
This green paper lays out the framework for building and customizing an effective data and analytics operating model.
Pitch Presentation of LeanIX at the PwC Accelerator Expo 2015 in Berlin. Co-Founder André Christ of LeanIX has pitched as one of 12 highly promising startups in front of corporates and investors.
LeanIX offers an innovative software-as-a-service solution for Enterprise Architecture Management (EAM), based either in a public cloud or the client’s data center.
Companies like Adidas, Axel Springer, Helvetia, RWE, Trusted Shops and Zalando use LeanIX Enterprise Architecture Management tool.
Free Trial: http://bit.ly/LeanIXDemoS
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
Getting started with with SharePoint SyntexDrew Madelung
SharePoint Syntex brings advanced content services solutions into your existing SharePoint environment but is it something that will help you? In this session we will go through what SharePoint Syntex is, how it works, and why it could be an important part of your enterprise in Microsoft 365.
Learn to Use Databricks for Data ScienceDatabricks
Data scientists face numerous challenges throughout the data science workflow that hinder productivity. As organizations continue to become more data-driven, a collaborative environment is more critical than ever — one that provides easier access and visibility into the data, reports and dashboards built against the data, reproducibility, and insights uncovered within the data.. Join us to hear how Databricks’ open and collaborative platform simplifies data science by enabling you to run all types of analytics workloads, from data preparation to exploratory analysis and predictive analytics, at scale — all on one unified platform.
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.
DAS Slides: Data Quality Best PracticesDATAVERSITY
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Active Governance Across the Delta Lake with AlationDatabricks
Alation provides a single interface to provide users and stewards to provide active and agile data governance across Databricks Delta Lake and Databricks SQL Analytics Service. Understand how Alation can expand adoption in the data lake while providing safe and responsible data consumption.
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
So you got a handle on what Big Data is and how you can use it to find business value in your data. Now you need an understanding of the Microsoft products that can be used to create a Big Data solution. Microsoft has many pieces of the puzzle and in this presentation I will show how they fit together. How does Microsoft enhance and add value to Big Data? From collecting data, transforming it, storing it, to visualizing it, I will show you Microsoft’s solutions for every step of the way
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.
In an era when many IT organizations are transforming themselves from cost centers into business enablers, the maturity of an organization’s approach to infrastructure monitoring becomes critical. The IT operations team must move beyond ad hoc monitoring and embrace an approach that actively optimizes the infrastructure for business innovation and agility. A maturity model for infrastructure monitoring offers enterprises guidance on how to achieve that goal.
These slides - baesd on the webinar featuring Shamus McGillicuddy, senior analyst at leading IT analyst firm Enterprise Management Associates (EMA), and Scott Frymire, director of marketing at SevOne - examine:
- The functional capabilities that are required of a mature monitoring platform
- The cultural and process-oriented aspects of a mature IT operations team
- SevOne’s product-agnostic, five-stage maturity model for infrastructure monitoring
Data and AI summit: data pipelines observability with open lineageJulien Le Dem
Presentation of Data lineage an Observability with OpenLineage at the "Data and AI summit" (formerly Spark summit). With a focus on the Apache Spark integration for OpenLineage
Fraud Detection with Graphs at the Danish Business AuthorityNeo4j
Traditional fraud prevention measures focus on discrete data points such as specific accounts, individuals, devices or IP addresses. However, today’s sophisticated fraudsters escape detection by forming fraud rings with individuals paid, lured into or unknowingly fronting these activities. To uncover such fraud rings and the people behind them, it is essential to look beyond individual data points to the connections that link them.
Neo4j uncovers difficult-to-detect patterns that far outstrip the power of a relational database. Enterprise organisations use Neo4j to augment their existing fraud detection capabilities to combat a variety of financial crimes including first-party bank fraud, credit card fraud, ecommerce fraud, insurance fraud and money laundering – and all in real time.
Learn more how to battle fraud with the power of graph databases during this webinar. We are pleased to invite you to hear Marius Hartmann from Danish Business Authority talking about how they are combining graph analysis with machine learning to prevent fraud. In context of the COVID-19 compensation scheme controls, he will present use cases currently in production and explain why graph is a good fit for government authorities.
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how data architecture is a key component of an overall enterprise architecture for enhanced business value and success.
LoQutus: (Technical) Using LeanIX to fully exploit your Enterprise Architectu...LoQutus
LoQutus: (Technical) Using LeanIX to fully exploit your Enterprise Architecture information within your organisation: Reporting & integration capabilities with GraphQL.
SIS Software & Solver BI360 Customer Presentation Nov 2016Debbie Peavy
http://www.sisn.com/november-webinar-solver-bi360/
In this webinar we will cover:
Excel based Report Writer (financial and operational)
Excel based Budgeting/Forecasting tool
Web portal to house Excel based reports
Dashboards and a SQl based, user friendly Data Warehouse
Accessible on your smartphone or tablet via a free app
GECon2017_ Lean_architecturemanagement_Andrei KavaleuGECon_Org Team
• Is it hard to make right architecture?
• Case for today: from Darkness to Light
• Agile transition: Complex things via simple steps
• Lean applied: Changing architecture
• Vision is not enough: Channing processes
CWIN17 Toulouse / Mulesoft and airbus accelerating digital transformation thr...Capgemini
Airbus is one of the world largest commercial jet maker, carrying over 3 billion
passengers every year. During this session, we will present how MuleSoft’s
unique API-led connectivity approach is enabling Airbus to scale up its digital
transformation and remain competitive in the face of market disruption
Microsoft investoi integraatioalustoihin kiivaammin kuin koskaan. BizTalk kehittyy edelleen ja Azureen julkaistaan kiihtyvään tahtiin pilvi-, hybridi- ja monitorointikyvykkyyksiä. Visual Studio Team Services tarjoaa välineet monitoimittajaympäristön pystytykseen ja automaatioon.
Bilotin arkkitehdit avaavat tässä esityksessä 13.10.2016 aamiaistilaisuudessa esitetyssä koosteessa relevantit akronyymit, Microsoftin roadmapin ja konkretisoivat integraation parhaita paloja.
Digital Business Transformation in the Streaming EraAttunity
Enterprises are rapidly adopting stream computing backbones, in-memory data stores, change data capture, and other low-latency approaches for end-to-end applications. As businesses modernize their data architectures over the next several years, they will begin to evolve toward all-streaming architectures. In this webcast, Wikibon, Attunity, and MemSQL will discuss how enterprise data professionals should migrate their legacy architectures in this direction. They will provide guidance for migrating data lakes, data warehouses, data governance, and transactional databases to support all-streaming architectures for complex cloud and edge applications. They will discuss how this new architecture will drive enterprise strategies for operationalizing artificial intelligence, mobile computing, the Internet of Things, and cloud-native microservices.
Link to the Wikibon report - wikibon.com/wikibons-2018-big-data-analytics-trends-forecast
Link to Attunity Streaming CDC Book Download - http://www.bit.ly/cdcbook
Link to MemSQL's Free Data Pipeline Book - http://go.memsql.com/oreilly-data-pipelines
Avanade digital workplace keynote microsoft recoder london 2015Andy Hutchins
Presentation from the Microsoft Recoder 2015 event in London summarising business value and deployment considerations for a digital workplace on Microsoft cloud technologies.
IBM Cognos Analytics Release 7+ Authoring Improvements: Demos of New and Rein...Senturus
Add interactivity to reports with OLAP data, create briefing book-style reports based on existing reports using report references and tables of contents, use the report pages framework to combine presentations into a single report and increase efficiency in report building. View the video recording and download this deck at: http://www.senturus.com/resources/cool-improvements-for-report-developers-in-cognos-analytics-r7/.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
Delivering operational efficiency in the new dawn of complex BIM data through...p6academy
Referenced: www.p6academy.com
Source: http://coll15.mapyourshow.com
There is a part of the engineering & construction lifecycle where huge amounts of inefficiency exists. Project documents are numerous and with the changes in the industry towards 3D BIM, stakeholders involved in the review process need more sophisticated tools and applications to work with this complex information. Documents that define buildings, infrastructure and assets are not only growing in complexity but also in physical size. In order to deal with the processing of the variety and complexity of data, organizations need to rethink what tools and applications will be needed to enable the efficient and integrated processes demanded by projects. Oracle AutoVue brings a unique set of capabilities that supports the variety of application formats, helping companies involved in the engineering construction lifecycle to deliver operational efficiencies that are integrated to the Primavera solutions. We explore the use of deep integration to Unifier BP’s, working in conjunction with drawings and Building Information Models enabling all stakeholders to view and digitally collaborate on project documents in the appropriate business context.
Similar to Next Level Enterprise Architecture (20)
LeanIX Virtual Workspaces make it possible for enterprises to operate across a shared IT inventory while setting specific access rights to protect confidential data or reducing the complexity of a workspace for certain business units.
Check out our overview where we cover best practices, tips and tricks for Virtual Workspaces use cases.
How to reduce complexity by segregating your data with Virtual WorkspacesLeanIX GmbH
LeanIX Virtual Workspaces make it possible for enterprises to operate across a shared IT inventory while setting specific access rights to protect confidential data or reducing the complexity of a workspace for certain business units. LeanIX admins now have the ability to decide which users can access Fact Sheets and to segment their workspaces according to e.g. enterprise brands or business units—all while e.g. keeping a common Business Capability model intact. The new feature is based on a flexible concept using Access Control Entities (ACEs) and Access Control Lists, and a group-view is available built-in to allow for centralized analyses.
Application Harmonisation using Design Principles in LeanIXLeanIX GmbH
Rainer Bartsch, Senior Enterprise Architect at RWE/Innogy give insights into Application Harmonization at EA Connect Days 2018 in Bonn: The Energy Trading business has been changing from high to low margins, from long running contracts to highly volatile (intraday) markets, from a few big players to many smaller market participants and to a business model that requires us to approach new markets and opportunities around the globe.
Such constant business change, over time, results in a quite diverse IT landscape using all kinds of technologies and a hell of a lot of people to keep it running. This obviously is adverse business change but what can I do to harmonise my IT environment or prevent to get into such a situation? For sure, it doesn’t happen by accident or just by having a bunch of good developers, a set of architecture guidelines and tools!
Bartsch demonstrated RWE's approach to application harmonisation based on a business & IT commitment to deliver IT solutions against a set of 10 Design Principles. This includes LeanIX as our application inventory and two different examples on how to cover Design Principles, first as Custom Tags and second as Custom Fact Sheets.
Effective EAM: whet your appetite & deliver solutionsLeanIX GmbH
Peter Tubak, IT Architect at Messe München and Inge Hanschke, General Manager at Lean42 explored in this presentation held at EA Connect Days 2018 in Bonn how to overcome hurdles during the initial introduction of Enterprise Architecture Management at Messe München.
Lean EAM with the Microservices Add-on and the Signavio IntegrationLeanIX GmbH
Presentation by Thorsten Düvelmeyer, Solution Architect at Hermes at EA Connect Days 2018 in Bonn. Hermes started visualizing their IT landscape in LeanIX with the goal of breaking up silos and supporting a collaborative approach on optimization of their application portofolio.
To have a wider level of informationen they decided to include processses and microservices within their data and visualizations: both delivered by standard integrations.
Application Rationalization with LeanIXLeanIX GmbH
In this presentation from EA Connect Days 2018 in Bonn you learn about the benefits of Application Rationalization and how to optimize your Application Portfolio with LeanIX.
In this presentation from EA Connect Days 2018 in Bonn you will find out how to import and export your Enterprise Architecture data to and from the LeanIX Inventory.
In this presentation from EA Connect Days 2018 in Bonn the LeanIX Microservices Integration is examined. Find out what the benefits are and how to set it up.
How to set up a Lean Standards GovernanceLeanIX GmbH
Presentation from EA Connect Days 2018 in Bonn. Learn how to set up a lean standards governance with the help of an Enterprise Architecture tool incorporating surveys, relevant reports and an integration with Technopedia.
Presentation by Thomas Schreiner, Senior Manager Enterprise Architecture Management at Fresenius at EA Connect Days 2018 in Bonn: Managing an Enterprise Architecture function with thousands of applications requires high operational efficiency, supported by a strong tool. To get the most out of LeanIX, Fresenius has built an extensive set of add-ons and enhancements, some of were presented in this talk. This includes:
- A news feed application
- Custom notifications
- Excel integration via Get & Transform, formerly “Power Query”
- Automated daily snapshots and survey downloads
- Ruby interface to navigate and operate on the full LeanIX meta model
Moving EA - from where we are to where we should beLeanIX GmbH
Presentation held by Dr. Stefan Zerbe, ITM at EA Connect Days 2018 in Bonn. While EA (enterprise architecture) is a well-known discipline many business organizations struggle with maturity of their corporate EA practice. But even companies that stopped EA activities in recent years now relaunch EA, in order to tackle challenges resulting from digital transformation, regulatory pressure and increasing IT complexity. This presentation builds on lessons learned from companies working with EA and refocuses the EA value proposition in order to meet business expectations. It highlights the importance to extent EA thinking to business units and explains collaboration modelsto engage both, business and IT architecture specialists as well as managers, in joint architecture activities based on a real project example. From a business-oriented perspective on EA, the presentation picks up the discussion regarding a new agile mindset for EA architects and presents new ideas for tool sets to support EA work in corporations.
Beyond CIO - Will there still be Architecture Management in 2025LeanIX GmbH
Ralf Schneider from Detecon explored the future of the CIO at EA Connect Days 2018 in Bonn. CIOs have to manage two main challenges: Cost/efficiency vs innovation/agility. His hypothesis is that operational IT skills will be increasingly less important while the skills to orchestrate the eco system.
During EA Connect Days 2018 in Bonn, Entrepreneur and author Peter Hinssen shared his observations on the changing technologies. What are the consequences for organizations of today? Peter introduces those pioneers who managed to move (way) beyond Tomorrow-thinking in innovation and were able to change the course of entire industries.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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
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/
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
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
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
14. Our contribution to a successful Enterprise Architecture
14
Foster Collaboration
Avoid Data Silos
Focus on Use Cases
Automate Data Maintenance
Optimize User Experience
Leverage Best Practices
15. LeanIX is 10th fastest growing tech company in Germany
15
2014 2015 2016 2017 2018
> 700 %
Revenue
16. Thank you to all our
customers, partners and
employees!
16
17. How likely is it that you would recommend LeanIX?
17
NPS
61
Promoters77
Passives39
Detractors4
64 %
32 %
3 %
0 2 3 4 5 6 7 8 91 10
DETRACTORS PASSIVES PROMOTERS
18. From Good to Great
18
61 7224
Telco
Providers
37
Banking
49 97
Auto-
motive
19. Higher attention to Product, UX and User Enablement
19
Dr. Jan Puzicha
VP Product
PRODUCT MANAGEMENT
• Requirements & Roadmap
• Customer 1:1s and QBRs
LEANIX ONLINE ACADEMY
Christian Richter
VP Customer Success• Request BETA-Access from your
Customer Success Manager
USER EXPERIENCE (UX) LAB
• Start today, go to Product Booth
• Many free slots still available
Benjamin Hartung
UX Lead Designer
20. 23 certified LeanIX partners - essential part of our strategy
20
Alexander Bloech
Director Partner
Management
• Partner Program
• Certification
• Trainings & Materials
21. Extensive research of market dynamics – two studies in 2018
21
The state of SAP S/4HANA
Transformation seen from
Enterprise Architecture
perspective
Tomorrow: 10:50 am (Track 1) Get preview at LeanIX Booth
The state of Enterprise
Architecture,
> 1800 enterprise in US,
Europe and APAC
25. Inline Table Editing
25
• Subscriptions - scheduled for next
quarter
• Relationships - will be handled in
context of improved import / export
• Mass archiving
OutlookAll Editions
Included
Available Today
28. LeanIX Store – http://store.leanix.net
28
• Additional Store types, e.g.:
o Surveys
o Data model extensions
• Further development (e.g. secured
& paid content)
OutlookAll Editions
Access to Store free
Content free/paid
Available Today
31. 31
„We at Atlassian IT are embracing LeanIX because the
application avoids all of the complexity that is typically
found in EA tools.
Similar to our own solutions LeanIX focuses on
intuitive and straight forward communication
and knowledge exchange, and we are absolutely
excited to see a tight integration between the
products coming to life.”
JOHN STAME
Senior Enterprise Architect Atlassian IT
33. Confluence Integration
33
• Additional macros for individual
Fact Sheets – next quarter
• Support for Confluence Cloud
• Back-links from LeanIX to
Confluence pages
• Rich-links to Confluence pages
OutlookAll Editions
Included
On-Premise (early Dec)
Cloud (exp. Q1/2019)
34. Other topics available today
34
4 Pivio Integration (FREE) Automatically import data from Source Code, e.g. for Microservices
6 ServiceNow: London ServiceNow Integration now certified for London release
1 Better Fact Sheet Creation Improved data quality by displaying possible duplicate entries
5 Intercom Integration Configure own instance of real-time chat inside of LeanIX
2 Embeddable Reports Embed any report with real-time data access, e.g. into SharePoint
3 Rapid Picture Export Directly show reports as image to speed up copy via drag & drop
ALL EDITIONS, INCLUDED
INTEGRATION, EXTRA PRICED
36. Roadmap 3-year view
36
2017 – LeanIX 4.0 “Pathfinder” 2018 – Product Excellence
• Faster user interface
thanks to Single Page App
• Extended inventory with
table view & saved
bookmarks
• Fully flexible data model
(Attributes, Fact Sheets, … )
• Developer friendly, strongly
typed GraphQL API
• Custom report framework
to build extensions
• State-of-the art
Microservices architecture
2019 – Expand Scope
EA-driven Use Cases
Modern IT
Enabling Partners
Product Excellence
FEATURE COVERAGE
ROBUSTNESS & PERFORMANCE
AUTOMATION
37. Commit Q1/2019
Roadmap 2019 – Long List
37
Modern IT
• ServiceNow
Integration 2.0
(Filtering & Tags)
• JIRA integration
• Public Cloud Adapter
(AWS / Azure)
• Orchestration Adapter
(Kubernetes)
EA Product Excellence
• Azure/K8s Migration
• Better Quick Search
• Visualizer Color-based
Views
• Virtual Workspaces
• UX / UI overhaul
• ISO 27001 Certification
• Product Usage
Analytics
Enabling Partners
• Extension of LeanIX
Store
• Self-Service
Configuration
• Deployable Extensions
o Reports
o Dashboards
o Fact Sheet types
o Data Model / View
extensions
o Data import APIs
o Event-based
extensions
o Workflows
EA-driven Use Cases
• Confluence integration
(Cloud + On-Premise)
• Configurable Business
Processes
• Data model extensions
for issues, project &
milestones
• Voting Survey
• Open Source License
tracking module
• Integration with
vulnerability detection x Details follow
1
2
3
38. Azure Migration – Benefits
38
Improve guaranteed availability from 99% to >= 99.5%
Ensure Data Center Compliance: e.g. ISO 27001, ISO 27018, SOC 1, SOC 2
Handle load increase of Logins, Workspaces, Fact Sheets, …
Expand thought leadership by using best practice technology
Add Data Center Locations: US, Europe, ASPAC (New)
1
39. Azure Migration – Customer Preparation
39
Preparation in Q1 / 2019
• Start of update of DPAs (Data
Processing Agreements) and SLAs
• LeanIX will approach every customer
• Individual downtime announced 4
weeks in advance
• Downtime up to 48h (depending on
data volume in your Workspaces)
• No action by customer required
1
Migration in Q2 / 2019