This document discusses distributed SQL databases and their role in enabling digital transformations. It provides an overview of 451 Research as a leading IT research and advisory company. It then discusses how enterprises are increasingly pursuing digital transformation strategies to improve customer experience and cut costs. Distributed SQL databases are well-suited for digital transformations as they provide SQL capabilities with horizontal scalability, ACID guarantees, and a masterless architecture ideal for cloud environments. Systems of record are becoming integrated with new systems of engagement and intelligence through digital transformation initiatives.
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...Denodo
Watch full webinar here: https://bit.ly/38uCCUB
Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.
Many companies find digital transformation challenging as they rely on established systems that are often not only poorly integrated, but also highly resistant to modernization without downtime. Hear how the BFSI industry is leveraging data virtualization that facilitates digital transformation via a modern data integration / data delivery approach to gain greater agility, flexibility, and efficiency.
In this joint live webinar session from Denodo and Wipro, you will learn:
- Industry key trends and challenges driving the digital transformation mandate and platform modernization initiatives
- Key concepts of Data Virtualization, and how it can enable BFSI customers to develop critical capabilities for real-time / near real-time data integration
- Success Stories on organizations who already use data virtualization to differentiate themselves from the competition
- Wipro’s role in helping enterprises define the business case, end-to-end services and operating model for the successful data virtualization implementations
Schedule a Discovery Session to learn more about Wipro and Denodo joint solutions for Banking, Financial Services, and Insurance.
Explore how data integration (or “mashups”) can maximize analytic value and help business teams create streamlined data pipelines that enables ad-hoc analytic inquiries. You’ll learn why businesses increasingly focused on blending data on demand and at the source, the concrete analytic advantages that this approach delivers, and the type of architectures required for delivering trusted, blended data. We provide a checklist to assess your data integration needs and capabilities, and review some real-world examples of how blending various data types has created significant analytic value and concrete business impact.
Reinvent Your Data Management Strategy for Successful Digital TransformationDenodo
Watch Dinesh's keynote presentation from Fast Data Strategy Virtual Summit here: https://goo.gl/3Pa8np
Leaders are re-inventing their data management strategies through the effective use of IoT, Big Data, and data science to boost their customer experience. Yet, they struggle to modernize their data architecture due to lack of global data management processes and technologies.
Attend this session to hear from the Big Data pioneer, Hortonworks:
• Why big data and data virtualization should be core technology components of your digital transformation.
• How to manage, govern, and secure your global data footprint across a hybrid multi-cloud landscape.
• Learn about key global data management strategies and use cases that drive leading digital enterprises.
NIIT and Denodo: Business Continuity Planning in the times of the Covid-19 Pa...Denodo
Watch: https://bit.ly/349QjYr
Currently, the most common Analytical Solutions are implemented on large scalable ecosystems which involve massive Data Lakes and Data Warehouses. These solutions take time to build and incur substantial TCO. In today’s environment we need rapid technologies, and NIIT has developed a compelling solution powered by Denodo’s Data Virtualization and Data Catalog.
Arne Rossmann outlines why the Business Data Lake works and which Services the Business Data Lake should provide. Organizations can use the Business Data Lake concept best when they standardize, industrialize and innovate.
Presented by Arne Rossman, Capgemini Germany, at the OOP Conference, 31 January 2017
A Connected Data Landscape: Virtualization and the Internet of ThingsInside Analysis
The Briefing Room with Dr. Robin Bloor and Cisco
Live Webcast March 3, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=a75f0f379405de155800a37b2bf104db
Data at rest, data in motion - regardless of its trajectory, data remains the lifeblood of today's information economy. But finding a way to bridge old systems with new opportunities requires an innovative data strategy, one that takes advantage of multiple processing technologies. With the optimal architecture in place, companies can harness years of work in traditional information systems, while opening the door to the flood of new data sources available.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, as he explains how data virtualization and other data technologies fundamentally change what's possible with data access, movement and analysis. He'll be briefed by David Besemer of Cisco, who will discuss how this new kind of data strategy can enable the integration of legacy systems, Cloud computing and the Internet of Things. He'll also answer questions about how Big Data and the IoT are helping to redefine the practice of data management.
Visis InsideAnalysis.com for more information.
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...Denodo
Watch full webinar here: https://bit.ly/38uCCUB
Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.
Many companies find digital transformation challenging as they rely on established systems that are often not only poorly integrated, but also highly resistant to modernization without downtime. Hear how the BFSI industry is leveraging data virtualization that facilitates digital transformation via a modern data integration / data delivery approach to gain greater agility, flexibility, and efficiency.
In this joint live webinar session from Denodo and Wipro, you will learn:
- Industry key trends and challenges driving the digital transformation mandate and platform modernization initiatives
- Key concepts of Data Virtualization, and how it can enable BFSI customers to develop critical capabilities for real-time / near real-time data integration
- Success Stories on organizations who already use data virtualization to differentiate themselves from the competition
- Wipro’s role in helping enterprises define the business case, end-to-end services and operating model for the successful data virtualization implementations
Schedule a Discovery Session to learn more about Wipro and Denodo joint solutions for Banking, Financial Services, and Insurance.
Explore how data integration (or “mashups”) can maximize analytic value and help business teams create streamlined data pipelines that enables ad-hoc analytic inquiries. You’ll learn why businesses increasingly focused on blending data on demand and at the source, the concrete analytic advantages that this approach delivers, and the type of architectures required for delivering trusted, blended data. We provide a checklist to assess your data integration needs and capabilities, and review some real-world examples of how blending various data types has created significant analytic value and concrete business impact.
Reinvent Your Data Management Strategy for Successful Digital TransformationDenodo
Watch Dinesh's keynote presentation from Fast Data Strategy Virtual Summit here: https://goo.gl/3Pa8np
Leaders are re-inventing their data management strategies through the effective use of IoT, Big Data, and data science to boost their customer experience. Yet, they struggle to modernize their data architecture due to lack of global data management processes and technologies.
Attend this session to hear from the Big Data pioneer, Hortonworks:
• Why big data and data virtualization should be core technology components of your digital transformation.
• How to manage, govern, and secure your global data footprint across a hybrid multi-cloud landscape.
• Learn about key global data management strategies and use cases that drive leading digital enterprises.
NIIT and Denodo: Business Continuity Planning in the times of the Covid-19 Pa...Denodo
Watch: https://bit.ly/349QjYr
Currently, the most common Analytical Solutions are implemented on large scalable ecosystems which involve massive Data Lakes and Data Warehouses. These solutions take time to build and incur substantial TCO. In today’s environment we need rapid technologies, and NIIT has developed a compelling solution powered by Denodo’s Data Virtualization and Data Catalog.
Arne Rossmann outlines why the Business Data Lake works and which Services the Business Data Lake should provide. Organizations can use the Business Data Lake concept best when they standardize, industrialize and innovate.
Presented by Arne Rossman, Capgemini Germany, at the OOP Conference, 31 January 2017
A Connected Data Landscape: Virtualization and the Internet of ThingsInside Analysis
The Briefing Room with Dr. Robin Bloor and Cisco
Live Webcast March 3, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=a75f0f379405de155800a37b2bf104db
Data at rest, data in motion - regardless of its trajectory, data remains the lifeblood of today's information economy. But finding a way to bridge old systems with new opportunities requires an innovative data strategy, one that takes advantage of multiple processing technologies. With the optimal architecture in place, companies can harness years of work in traditional information systems, while opening the door to the flood of new data sources available.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, as he explains how data virtualization and other data technologies fundamentally change what's possible with data access, movement and analysis. He'll be briefed by David Besemer of Cisco, who will discuss how this new kind of data strategy can enable the integration of legacy systems, Cloud computing and the Internet of Things. He'll also answer questions about how Big Data and the IoT are helping to redefine the practice of data management.
Visis InsideAnalysis.com for more information.
A Key to Real-time Insights in a Post-COVID World (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2EpHGyd
Presented at Data Champions, Online Asia 2020
Businesses and individuals around the world are experiencing the impact of a global pandemic. With many workers and potential shoppers still sequestered, COVID-19 is proving to have a momentous impact on the global economy. Regardless of the current situation and post-pandemic era, real-time data becomes even more critical to healthcare practitioners, business owners, government officials, and the public at large where holistic and timely information are important to make quick decisions. It enables doctors to make quick decisions about where to focus the care, business owners to alter production schedules to meet the demand, government agencies to contain the epidemic, and the public to be informed about prevention.
In this on-demand session, you will learn about the capabilities of data virtualization as a modern data integration technique and how can organisations:
- Rapidly unify information from disparate data sources to make accurate decisions and analyse data in real-time
- Build a single engine for security that provides audit and control by geographies
- Accelerate delivery of insights from your advanced analytics project
Introduction to Modern Data Virtualization 2021 (APAC)Denodo
Watch full webinar here: https://bit.ly/2XXyc3R
“Through 2022, 60% of all organisations will implement data virtualization as one key delivery style in their data integration architecture," according to Gartner. What is data virtualization and why is its adoption growing so quickly? Modern data virtualization accelerates that time to insights and data services without copying or moving data.
Watch on-demand this webinar to learn:
- Why organizations across the world are adopting data virtualization
- What is modern data virtualization
- How data virtualization works and how it compares to alternative approaches to data integration and management
- How modern data virtualization can significantly increase agility while reducing costs
Watch full webinar here: https://bit.ly/2Y0vudM
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Register to attend this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise?
The Briefing Room with John Myers and Alteryx
Live Webcast on Nov. 27, 2012
What's the biggest challenge with Big Data so far? By and large, it's the big pain in delivering the right data in a timely fashion, and in a way that decision-makers can easily use. That's quickly changing because of the tremendous demand for tools that even non-technical business users can effectively employ. Capabilities are being designed by software vendors large and small, to provide easier access and more intuitive ways for working with Big Data. Even still, the effort to make Big Data useful is very much a work in progress.
Check out this episode of The Briefing Room to hear veteran Analyst John Myers of EMA explain why Big Data poses challenges and opportunities for professionals looking to better understand their markets, prospects and customers. Myers will be briefed by Paul Ross of Alteryx, who will tout his company's efforts to "humanize" Big Data using their strategic analytics platform, designed to: 1) facilitate access to Big Data, especially in combination with other data sets; 2) give analysts an intuitive, workflow-based approach for build the targeted analytics their business needs; and, 3) make the consumption of these analytics by decision-makers as simple as using the apps they use at home.
Visit: http://www.insideanalysis.com
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
Watch full webinar here: https://bit.ly/3lSwLyU
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
Le invitamos a participar en este webinar para aprender:
- Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
Building and managing secure private and hybrid clouds
HP Helion extends beyond just cloud to become the very fabric of your enterprise. Delivers an extensible and open portfolio to build and manage enterprise grade end-to-end orchestrated cloud services.
A Reference Architecture for Digitalization in the Pharmaceutical IndustryCapgemini
A Reference Architecture for Digitalization in the Pharmaceutical Industry - Alina Chircu, Bentley University; Levent Sözer, Capgemini Germany; Eldar Sultanow, Capgemini Germany
INFORMATIK 2017
47. Jahrestagung der Gesellschaft für Informatik e.V. (GI) | 25.-29.9.2017 | Chemnitz
Workshop Enterprise Architecture Management in Forschung und Praxis
Watch here: https://bit.ly/2D1fqB6
Today’s evolving data landscape has spawned new business challenges that require innovative solutions. These challenges include:
- Strategic decision-making, which relies on multiple perspectives such as social and economic factors that require combining internal and external data.
- Accounting for the increased volume and structural complexity of today’s data, and increased frequency required in delivering data assets.
- Coping with data silos that house data that must be combined and provisioned to support decision-making.
- Exposing purpose-built analytics, such as supply chain, for consumption in order to expedite decision-making.
Attend this session to learn how Data as a Service, fueled by data virtualization, overcomes these common challenges from the three dimensions of:
- Provisioning information-rich external data assets,
- Connecting data silos, and
- Enabling pre-built and packaged analytics.
Next Gen Analytics Going Beyond Data WarehouseDenodo
Watch this Fast Data Strategy session with speakers: Maria Thonn, Enterprise BI Development Manager, T-Mobile & Jonathan Wisgerhof, Smart Data Architect, Kadenza: https://goo.gl/J1qiLj
Your company, like most of your peers, is undoubtedly data-aware and data-driven. However, unless you embrace a modern architecture like data virtualization to deliver actionable insights from your enterprise data, the worth of your enterprise data will diminish to a fraction of its potential.
Attend this session to learn how data virtualization:
• Provides a common semantic layer for business intelligence (BI) and analytical applications
• Enables a more agile, flexible logical data warehouse
• Acts as a single virtual catalog for all enterprise data sources including data lakes
Denodo DataFest 2016: Metadata and Data: Search and ExplorationDenodo
Watch the full session: Denodo DataFest 2016 sessions: https://goo.gl/ptQMW7
What matters the most for analysts and decision makers is finding the right data within seconds. Data virtualization incorporates a rich metadata catalog and graphical interface for the self-service users
In this session, you will learn:
• How to discover, search, explore, curate and share trusted data assets in a governed manner
• How to view and utilize the complete lineage of data assets
• Ways to infer patterns in data and metadata
This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3rpr4La
Data is an insurer’s most valuable asset. Capitalizing on all of that stored and incoming data to draw valuable insights for business decisions is what ultimately makes a competitive difference.
But, insurers face challenges when it comes to modernizing and digitizing their data architectures. Most organizations rely on traditional systems and data integration processes that are time consuming and slow. In addition, as many adopt cloud strategies, these traditional approaches fill the cloud modernization process with downtime and end user frustration.
This is why insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.
Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures. Data virtualization can help insurance companies create 360° views of deals and claims processes as well as gather quick social media or sensor data for on-the-go risk profiling.
Join this on-demand webinar to:
- Find out why data virtualization should be a part of your enterprise data strategy
- See how this technology can help you capitalize on your data
- Hear how many of your peers are already leveraging the Denodo Platform for Data Virtualization and the benefits they’re observing
Big Data brings big promise and also big challenges, the primary and most important one being the ability to deliver Value to business stakeholders who are not data scientists!
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/3fpitC3
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Radical Optimization: How the Internet of Things, 3D Printing and Innovative ...Sustainable Brands
How do the Internet of Things, 3D printing and innovative data analysis promise to transform and revitalize some of the 'dirty' work of manufacturing and supply chains? How can brands use those developments to not only drive cost down, but also to create new promises and fulfill them? What sectors should watch out, and what kinds of new partnerships would make sense in this new world?
Is Your Enterprise Ready to Shine This Holiday Season?DataStax
Be a holiday hero—not a sorry statistic. View this on-demand webinar to learn how to drive revenue, business growth, customer satisfaction, and loyalty during the holiday season, and achieve operational excellence (and sanity!) at the same time. You’ll also hear real-world stories of companies that have experienced Black Friday nightmares—and learn how they turned things back around.
View webinar: https://pages.datastax.com/20191003-NAM-Webinar-IsYourEnterpriseReadytoShinethisHolidaySeason_1-Registration-LP.html
Explore all DataStax webinars: www.datastax.com/webinars
A Key to Real-time Insights in a Post-COVID World (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2EpHGyd
Presented at Data Champions, Online Asia 2020
Businesses and individuals around the world are experiencing the impact of a global pandemic. With many workers and potential shoppers still sequestered, COVID-19 is proving to have a momentous impact on the global economy. Regardless of the current situation and post-pandemic era, real-time data becomes even more critical to healthcare practitioners, business owners, government officials, and the public at large where holistic and timely information are important to make quick decisions. It enables doctors to make quick decisions about where to focus the care, business owners to alter production schedules to meet the demand, government agencies to contain the epidemic, and the public to be informed about prevention.
In this on-demand session, you will learn about the capabilities of data virtualization as a modern data integration technique and how can organisations:
- Rapidly unify information from disparate data sources to make accurate decisions and analyse data in real-time
- Build a single engine for security that provides audit and control by geographies
- Accelerate delivery of insights from your advanced analytics project
Introduction to Modern Data Virtualization 2021 (APAC)Denodo
Watch full webinar here: https://bit.ly/2XXyc3R
“Through 2022, 60% of all organisations will implement data virtualization as one key delivery style in their data integration architecture," according to Gartner. What is data virtualization and why is its adoption growing so quickly? Modern data virtualization accelerates that time to insights and data services without copying or moving data.
Watch on-demand this webinar to learn:
- Why organizations across the world are adopting data virtualization
- What is modern data virtualization
- How data virtualization works and how it compares to alternative approaches to data integration and management
- How modern data virtualization can significantly increase agility while reducing costs
Watch full webinar here: https://bit.ly/2Y0vudM
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Register to attend this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise?
The Briefing Room with John Myers and Alteryx
Live Webcast on Nov. 27, 2012
What's the biggest challenge with Big Data so far? By and large, it's the big pain in delivering the right data in a timely fashion, and in a way that decision-makers can easily use. That's quickly changing because of the tremendous demand for tools that even non-technical business users can effectively employ. Capabilities are being designed by software vendors large and small, to provide easier access and more intuitive ways for working with Big Data. Even still, the effort to make Big Data useful is very much a work in progress.
Check out this episode of The Briefing Room to hear veteran Analyst John Myers of EMA explain why Big Data poses challenges and opportunities for professionals looking to better understand their markets, prospects and customers. Myers will be briefed by Paul Ross of Alteryx, who will tout his company's efforts to "humanize" Big Data using their strategic analytics platform, designed to: 1) facilitate access to Big Data, especially in combination with other data sets; 2) give analysts an intuitive, workflow-based approach for build the targeted analytics their business needs; and, 3) make the consumption of these analytics by decision-makers as simple as using the apps they use at home.
Visit: http://www.insideanalysis.com
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
Watch full webinar here: https://bit.ly/3lSwLyU
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
Le invitamos a participar en este webinar para aprender:
- Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
Building and managing secure private and hybrid clouds
HP Helion extends beyond just cloud to become the very fabric of your enterprise. Delivers an extensible and open portfolio to build and manage enterprise grade end-to-end orchestrated cloud services.
A Reference Architecture for Digitalization in the Pharmaceutical IndustryCapgemini
A Reference Architecture for Digitalization in the Pharmaceutical Industry - Alina Chircu, Bentley University; Levent Sözer, Capgemini Germany; Eldar Sultanow, Capgemini Germany
INFORMATIK 2017
47. Jahrestagung der Gesellschaft für Informatik e.V. (GI) | 25.-29.9.2017 | Chemnitz
Workshop Enterprise Architecture Management in Forschung und Praxis
Watch here: https://bit.ly/2D1fqB6
Today’s evolving data landscape has spawned new business challenges that require innovative solutions. These challenges include:
- Strategic decision-making, which relies on multiple perspectives such as social and economic factors that require combining internal and external data.
- Accounting for the increased volume and structural complexity of today’s data, and increased frequency required in delivering data assets.
- Coping with data silos that house data that must be combined and provisioned to support decision-making.
- Exposing purpose-built analytics, such as supply chain, for consumption in order to expedite decision-making.
Attend this session to learn how Data as a Service, fueled by data virtualization, overcomes these common challenges from the three dimensions of:
- Provisioning information-rich external data assets,
- Connecting data silos, and
- Enabling pre-built and packaged analytics.
Next Gen Analytics Going Beyond Data WarehouseDenodo
Watch this Fast Data Strategy session with speakers: Maria Thonn, Enterprise BI Development Manager, T-Mobile & Jonathan Wisgerhof, Smart Data Architect, Kadenza: https://goo.gl/J1qiLj
Your company, like most of your peers, is undoubtedly data-aware and data-driven. However, unless you embrace a modern architecture like data virtualization to deliver actionable insights from your enterprise data, the worth of your enterprise data will diminish to a fraction of its potential.
Attend this session to learn how data virtualization:
• Provides a common semantic layer for business intelligence (BI) and analytical applications
• Enables a more agile, flexible logical data warehouse
• Acts as a single virtual catalog for all enterprise data sources including data lakes
Denodo DataFest 2016: Metadata and Data: Search and ExplorationDenodo
Watch the full session: Denodo DataFest 2016 sessions: https://goo.gl/ptQMW7
What matters the most for analysts and decision makers is finding the right data within seconds. Data virtualization incorporates a rich metadata catalog and graphical interface for the self-service users
In this session, you will learn:
• How to discover, search, explore, curate and share trusted data assets in a governed manner
• How to view and utilize the complete lineage of data assets
• Ways to infer patterns in data and metadata
This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3rpr4La
Data is an insurer’s most valuable asset. Capitalizing on all of that stored and incoming data to draw valuable insights for business decisions is what ultimately makes a competitive difference.
But, insurers face challenges when it comes to modernizing and digitizing their data architectures. Most organizations rely on traditional systems and data integration processes that are time consuming and slow. In addition, as many adopt cloud strategies, these traditional approaches fill the cloud modernization process with downtime and end user frustration.
This is why insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.
Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures. Data virtualization can help insurance companies create 360° views of deals and claims processes as well as gather quick social media or sensor data for on-the-go risk profiling.
Join this on-demand webinar to:
- Find out why data virtualization should be a part of your enterprise data strategy
- See how this technology can help you capitalize on your data
- Hear how many of your peers are already leveraging the Denodo Platform for Data Virtualization and the benefits they’re observing
Big Data brings big promise and also big challenges, the primary and most important one being the ability to deliver Value to business stakeholders who are not data scientists!
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/3fpitC3
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Radical Optimization: How the Internet of Things, 3D Printing and Innovative ...Sustainable Brands
How do the Internet of Things, 3D printing and innovative data analysis promise to transform and revitalize some of the 'dirty' work of manufacturing and supply chains? How can brands use those developments to not only drive cost down, but also to create new promises and fulfill them? What sectors should watch out, and what kinds of new partnerships would make sense in this new world?
Is Your Enterprise Ready to Shine This Holiday Season?DataStax
Be a holiday hero—not a sorry statistic. View this on-demand webinar to learn how to drive revenue, business growth, customer satisfaction, and loyalty during the holiday season, and achieve operational excellence (and sanity!) at the same time. You’ll also hear real-world stories of companies that have experienced Black Friday nightmares—and learn how they turned things back around.
View webinar: https://pages.datastax.com/20191003-NAM-Webinar-IsYourEnterpriseReadytoShinethisHolidaySeason_1-Registration-LP.html
Explore all DataStax webinars: www.datastax.com/webinars
Is your big data journey stalling? Take the Leap with Capgemini and ClouderaCloudera, Inc.
Transitioning to a Big Data architecture is a big step; and the complexity of moving existing analytical services onto modern platforms like Cloudera, can seem overwhelming.
Capgemini Leap Data Transformation Framework with ClouderaCapgemini
https://www.capgemini.com/insights-data/data/leap-data-transformation-framework
The complexity of moving existing analytical services onto modern platforms like Cloudera can seem overwhelming. Capgemini’s Leap Data Transformation Framework helps clients by industrializing the entire process of bringing existing BI assets and capabilities to next-generation big data management platforms.
During this webinar, you will learn:
• The key drivers for industrializing your transformation to big data at all stages of the lifecycle – estimation, design, implementation, and testing
• How one of our largest clients reduced the transition to modern data architecture by over 30%
• How an end-to-end, fact-based transformation framework can deliver IT rationalization on top of big data architectures
Data technology experts from Pivotal give the latest perspective on how big data analytics and applications are transforming organizations across industries.
This event provides an opportunity to learn about new developments in the rapidly-changing world of big data and understand best practices in creating Internet of Things (IoT) applications.
Learn more about the Pivotal Big Data Roadshow: http://pivotal.io/big-data/data-roadshow
Snowflake: The most cost-effective agile and scalable data warehouse ever!Visual_BI
In this webinar, the presenter will take you through the most revolutionary data warehouse, Snowflake with a live demo and technical and functional discussions with a customer. Ryan Goltz from Chesapeake Energy and Tristan Handy, creator of DBT Cloud and owner of Fishtown Analytics will also be joining the webinar.
Watch here: https://bit.ly/3i2iJbu
You will often hear that "data is the new gold". In this context, data management is one of the areas that has received more attention by the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.
Join us for an exciting session that will cover:
- The most interesting trends in data management.
- Our predictions on how those trends will change the data management world.
- How these trends are shaping the future of data virtualization and our own software.
These slides—based on the webinar from EMA Research and Equalum—provide practical insights into six foundational principles of streaming change data capture that guide your modernization journey.
A Journey to a Serverless Business Intelligence, Machine Learning and Big Dat...DataWorks Summit
In this talk we will describe the journey we made with one of our customers, Volotea, to deploy a serverless Business Intelligence (BI), Machine Learning (ML) and Big Data (BD) platform on the Cloud. The new platform leverages Platform-as-a-Service (PaaS) Cloud services, and it is the result of the reengineering and extension of an existing platform based on Cloud Infrastructure-as-a-Service (IaaS) services and bare-metal systems. Managing and maintaining BI, ML and BD platforms based on bare-metal or IaaS deployments is not a straightforward task, and as size and complexity grow, we often find ourselves spending more and more time in tasks that are rather administrative, more than of a development or analytics nature. That is exactly what Volotea realized, and together we envisioned and executed a plan to lift and reengineer their platform into a new solution that leverages Microsoft Azure PaaS services. We have delivered a solution that manages to greatly reduce the administrative burden as well as the technical complexity when implementing new use cases. The new platform is based on the Microsoft Azure stack and it includes Azure Data Lake, Azure Data Lake Analytics, Azure Data Factory, Azure Machine Learning and Azure SQL Database. Join us in this talk where we will share our lessons learned and we will discuss how to plan and execute such an endeavor.
Slides: Accelerate and Assure the Adoption of Cloud Data Platforms Using Inte...DATAVERSITY
Greater agility, scalability, and lower total cost of ownership made the decision to move key elements of your organization’s data capability to the cloud easy. The real challenge is migrating data from your legacy systems to your new cloud platform so you can unleash its potential and value while minimizing the migration risks.
Combining erwin‘s data modeling, governance, and intelligence solutions with Snowflake’s modern cloud data platform, organizations can realize a scalable, governed, and transparent enterprise data capability.
In this session, we’ll show you how enterprise stakeholders with different skills and needs can work together to accelerate and assure the success of cloud migration projects of any size. You’ll learn how to:
• Reduce costs and mitigate risks when migrating legacy applications to Snowflake with erwin’s model-driven schema design and transformation capabilities
• Increase the precision, speed, and agility of Snowflake deployments with erwin data automation
• Assure transparency, compliance, and governance for Snowflake data and processes
• Increase the efficiency and accuracy of analytics and other data usage on the Snowflake Cloud Platform
In this new digital era, enterprises need a next-generation packet broker that can deliver the right data to the right service assurance and security tools.
These slides--based on the webinar from leading IT research firm Enterprise Management Associates (EMA) and APCON--provide an overview of the technologies, features, and horsepower that enterprises should be looking for in a new network packet broker.
Whether you are new to network packet brokers or looking to refresh your existing investment, this event will offer valuable advice.
[WSO2 Summit Chicago 2018] Digital Transformation and Agile Integration: Stra...WSO2
In this slide deck 451 Research Principal Analyst Carl Lehmann explore how to execute digital transformation and agile integration from strategy to practice.
How Finance is Adopting Analytics, and Reacting to Changes in the Marketplace Emtec Inc.
Emtec Finance and Technology Summit Presentation: Keynote with Jack Berkowitz
Vice President, Product Management, Business Analytics,
Oracle Corporation
Driving Real Insights Through Data ScienceVMware Tanzu
Major changes in industries have been brought about by the emergence of data-driven discoveries and applications. Many organizations are bringing together their data, and looking to drive change. But the ability to generate new insights in real time from a massive sets of data is still far from commonplace.
At this event, data technology experts and data scientists from Pivotal provided the latest business perspective on how data science and engineering can be used to accelerate the generation of new insights.
For information about upcoming Pivotal events, please visit: http://pivotal.io/news-events/#events
With an explosion of data, today’s emerging needs are not being met by existing technologies, which require rich skill sets and expertise. Companies that want to lead changes in highly competitive markets must optimize their storage, speed, and spending. The key is for them to augment their data management and analytics platforms with artificial intelligence and machine learning for analysts, engineers, and other users.
Big Data, Machine Learning, and AI have created new opportunities for organizations worldwide, but this has also put tremendous pressure on IT and data engineering teams to scale and maintain analytics performance on massive datasets. This presentation at Strata Data Conference London 2019 by Luke Han explains how Augmented OLAP technology solves the challenges of analytics on massive datasets while reducing IT costs. Learn more about this powerful approach to Big Data here: https://kyligence.io/
Time series databases provide new capabilities to replace the inefficiencies of legacy systems. With a time series database, developers can deploy modern applications without limitations in time, geography, and scale. The possibilities are endless.
These slides—based on the webinar from leading IT research firm EMA and InfluxData—cover how modern applications create value and competitive advantage.
Connecta Event: Big Query och dataanalys med Google Cloud PlatformConnectaDigital
Avancerad dataanalys och ”big data” har under de senaste åren klättrat på trendlistorna och är nu ett av de mest prioriterade områdena i utvecklingen av nya tjänster och produkter för ledarföretag i det digitala landskapet.
Informationen som byggs upp i systemen när kundmötena digitaliseras har visat sig vara guld värt. Här finns allt vi behöver veta för att göra våra affärer mer effektiva.
Sedan sommaren 2013 har Connecta tillsammans med Google ett etablerat samarbete för att hjälpa våra kunder med övergången till moln-tjänster för bland annat avancerad dataanalys. För att göra oss själva redo att hjälpa våra kunder har vi under ett antal år utvecklat såväl kunskaper som skaffat oss erfarenheter kring Googles olika moln-produkter, som exempelvis ”Big Query”.
Big Query är ett molnbaserat analysverktyg och en del av Google Cloud Platform. Big Query gör det möjligt att ställa snabba frågor mot enorma dataset på bara någon sekund. Big Query och Google Cloud Platform erbjuder färdiga lösningar för att sätta upp och underhålla en infrastruktur som med enkla medel gör allt detta möjligt.
På Connecta Digital Consultings tredje event för våren introducerade vi våra kunder och partners i koncepten dataanalys och Big Query.
Under eventet berördes följande punkter:
- Big Data och Business Intelligence (BI)
- “The Google Big Data tools” – framgångsfaktorer och hur man kommer igång
- Google Cloud Platform och hur man genomför en framgångsrik molnsatsning
Vi presenterade case och berättade om viktiga lärdomar vi dragit i samarbetet med Google och våra kunder.
Similar to The Enabling Power of Distributed SQL for Enterprise Digital Transformation Initiatives (20)
WeLab Reaps Advantages of Multi-Cloud Capabilities. You Can Too.NuoDB
Traditional financial institutions are beginning to move critical core banking applications to the cloud, while new challengers in the form of digital-only banks are gaining millions of new accounts. These digital banks must meet their customers’ real-time demands while complying with new and changing regulatory requirements to ensure data privacy, security, and availability. Join us for this webinar to explore a case study featuring WeLab a new Hong Kong digital bank. Learn how they combined Temenos Transact, a cloud-native, cloud-agnostic core banking solution, with NuoDB’s revolutionary distributed SQL database to:
- Deploy a fault tolerant multi-cluster environment across multiple clouds
- Use microservices, containers, and Kubernetes to increase speed to market
- Reduce TCO with on-demand scalability and built-in continuous availability
Modernize Your Banking Platform with Temenos and NuoDBNuoDB
Your legacy SQL application IT infrastructure is holding you back. It's expensive, hard to maintain and secure, and requires significant IT investments from your organization when you try to deliver the on demand scale and continuous availability that your customers demand. Yet, you don't want to throw away your entire investment in your existing SQL applications. It’s time to modernize by leveraging cloud-native technologies, such as Kubernetes and NuoDB, a leading distributed SQL database. Together, these technologies allow you to migrate existing enterprise SQL applications to cloud-native technologies and deploy in on-premises environments, private or public cloud environments, hybrid models, and across multiple clouds. The choice is yours.
In this webinar you'll earn how to:
-Lower IT costs and ease your management burden by moving your legacy stateful SQL applications to hybrid, private, or public cloud environments
-Scale out on demand to meet ever-changing application workload demands
-Deliver continuously available applications that meets your aggressive SLAs
-Simplify your build, deploy, runtime, and monitoring processes with cloud-native solutions by leveraging the benefits of Kubernetes, Operators, and persistent storage
-Focus on your business differentiation, not maintaining legacy IT infrastructure
Do more clouds = better scalability, availability, flexibility NuoDB
Do More Clouds = Better Scalability, Availability, Flexibility?
Whether you are moving mission critical applications to the cloud or building new applications directly in the cloud, you must think ahead. Regulations, inter-cloud operations, fault tolerance, and disaster recovery are all critical components to your success. How can you ensure that you build for future flexibility and high availability? How do you keep infrastructure and operations cost reasonable and predictable? Join Ariff Kassam, CTO from NuoDB and Martin Bailey, Director of Innovation at Temenos for this educational webinar as they explore multi-cloud deployment models in-depth.
You will learn:
How you can benefit from multi-cloud deployments
Why cloud-native is key to success
How cloud-agnostic solutions impact deployment options
What’s driving cloud priorities for financial organizations
How to maintain high availability in a cloud-first environment
Introducing the latest version of NuoDB's distributed SQL database, version 4.0, which provides cloud-native, cloud-agnostic, and autonomous database management with always-on fault-tolerant database resiliency and on-demand scale out and scale in that adapts to ever changing SQL application transactional throughput requirements. The latest updates include Kubernetes Operator support and Azure and Google Cloud Platform certification. NuoDB 4.0 also provides additional security functionality, new domain and database management capabilities, and significantly improves application availability and performance by creating database indexes online.
Attend this webinar to learn:
How to easily deploy NuoDB in popular public cloud platforms, such as Amazon, Google, and Azure
How the NuoDB Administrative capabilities simplify database and domain operations
How to use expression-based indexes and online index creation to improve application availability and performance
Why there’s new database and client software packaging and how to use it
NuoDB + MayaData: How to Run Containerized Enterprise SQL Applications in the...NuoDB
Deploying an enterprise SQL database across geographically located OpenShift or Kubernetes clusters can be challenging. These deployments often require zero-downtime, ANSI standard SQL, ACID compliant transactions, seamless day-2 operations, and highly performant and durable persistent storage systems. How can your organization easily deploy container-native storage with a distributed SQL database to deliver containerized apps in the cloud?
In this webinar, NuoDB and MayaData guide you as you build containerized apps that check these critical boxes:
[✓] Always on
[✓] At scale
[✓] High performance persistent storage
---
Resources:
NuoDB & OpenEBS Solution Guide
https://mayadata.io/assets/pdf/nuodb-openebs-solution-docs.pdf
OpenEBS Documentation:
https://docs.openebs.io/docs/next/nuodb.html
OpenEBS Getting Started Workshop
https://www.katacoda.com/openebs/scenarios/openebs-intro
https://github.com/openebs/community/tree/master/workshop
OpenEBS & Litmus Repositories
https://github.com/openebs/openebs
https://github.com/openebs/litmus
NuoDB Documentation:
http://doc.nuodb.com/Latest/Default.htm
NuoDB CE Download:
https://www.nuodb.com/download
Listen to this webinar for a technical discussion about how to evaluate an elastic SQL database, why it's different from evaluating a traditional database, and what to consider during your evaluation.
Microservices Applications: Challenges and Best Practices When Deploying SQL-...NuoDB
Today, it seems everyone is breaking down their monoliths and building microservices applications. However, one challenge that architects struggle with is how to access and protect the data. How do you preserve microservices-style independence when different services need access to the same data? What happens with data consistency? Should you choose a traditional database, a noSQL database, scrap the database and go with a caching solution, or is there another option?
Join Red Hat and NuoDB as we discuss:
The challenges around microservices, data, and breaking down the monolith
Common pitfalls organizations encounter
Examples of use cases and various approaches to handling data in microservices applications.
Building Cloud-Native Applications with a Container-Native SQL Database in th...NuoDB
Agencies of all sizes are struggling to keep pace with rapidly changing mission needs and regulations. Their success is more dependent than ever on their ability to increase agility and take advantage of cloud and cloud-native architectures.
This webinar will cover how public sector agencies are working with Red Hat and NuoDB to:
Seamlessly deploy and manage applications in a modern architecture; Maintain the benefits of SQL and gain on-demand, horizontal scalability; Deploy a technology stack that facilitates efficiency and a DevOps structure.
5 Steps for Migrating Relational Databases to Next-Gen ArchitecturesNuoDB
The current “cloud first” revolution has exposed an ugly secret: Traditional databases simply cannot meet the high-scale, high availability, high customer expectation reality that business are facing. As more customers begin migrating mission-critical applications to database platforms that can inherently support next-generation flexibility and agility, it’s no wonder that the market for alternative database solutions is growing rapidly.
In this webinar, NayaTech CTO David Yahalom and NuoDB VP of Products Ariff Kassam discuss the primary motivators behind the growing adoption of next-generation, cloud-centric database technologies and the five steps to ensure such database migration projects are successful.
Topics include:
The main drivers behind the booming adoption of cloud-native, elastic, next-generation database technologies and the paradigm shift in the database technologies market.
The challenges for database migrations - from data movement and schema conversion to achieving feature parity with traditional commercial databases.
The five steps - from planning to execution - for a successful migration across different database platforms.
NuoDB 3.0: Getting Started with Community EditionNuoDB
Developers rely on NuoDB’s elastic SQL database because of its unique ability to maintain transactional integrity through strict consistency and durability guarantees while also making it simple to scale in and out on demand. This elasticity also provides a unique and automatic resilience, while still providing standard database interfaces and operations.
These slides highlight the changes in NuoDB's 3.0 release.
Cloud Database Migration Made Easy: Migrating MySQL to NuoDBNuoDB
For organizations moving to cloud infrastructure, database migration can be the stuff of nightmares. When selecting a cloud-centric database, balancing ease of migration with the on-demand scaling and continuous availability your modern application needs can seem like a series of compromises... But it doesn’t have to be.
In these slides, we showcase how simple it is to move from a traditional relational database to NuoDB’s elastic SQL database and talk about how this compares to the complexity of moving to a NoSQL database.
Senior Product Manager Joe Leslie demonstrates how to use NuoDB’s built-in migrator facility to simplify migration from databases such as MySQL, Microsoft SQL Server, or Oracle over to NuoDB, minimizing the transition time, and making it easy to get started sooner.
Elastic SQL Database: Oxymoron or Emerging Reality? (Database Month, June 2017)NuoDB
Advancements in application architectures, development processes, and storage have enabled organizations to take advantage of cloud benefits such as agility, elasticity, and scale-out across most layers of the infrastructure stack. But one key element - the database tier - has remained stubbornly difficult to modernize. Often, as organizations move toward container and cloud-based environments, they end up leaving their database, their SQL skillsets, expectations of transactional consistency, and sometimes even their precious data behind.
To address this problem, a new class of database - the elastic SQL database - has emerged. These solutions combine the ACID guarantees and SQL interface on which applications rely, while also allowing dynamic capacity management, continuous availability, multi-datacenter operation, and radical operational simplicity.
Learn how to take advantage of this technology to optimize your application for fast transactional responsiveness, continuous availability, and full-active database utilization, even across multiple clouds, data centers, or hybrid environments.
This presentation covers:
• Why the need for an elastic SQL database
• What can you do with one and best use cases for an elastic SQL database
• Examples of how an elastic SQL database works
• Benefits of optimizing/configuring for:
• fast application data access
• continuous availability
• deployment across data centers
Sacrifice SQL for an elastic database? Or sacrifice elasticity for a SQL database? Most of today’s database options force you to choose:
+ Easily scale your database and achieve continuous availability in line with today’s modern, often cloud-based architectures, or
+ Preserve transactional consistency, data durability, and a familiar SQL interface - often requirements for applications with business-critical information.
In these slides, we discuss the emergence of the elastic SQL database that forgoes such compromises and delivers a distributed database built for today’s modern applications. We highlight the emerging need for an elastic SQL database and the benefits that can be derived as a result, including:
+ Lowering total cost of ownership
+ Deployment flexibility
+ Improved performance and availability
+ Faster time to market
Getting Started with NuoDB Community Edition NuoDB
These are the companion slides to our Getting Started with NuoDB Community Edition Webinar. (http://www.nuodb.com/resources/videos/webinar-getting-started-nuodb)
Watch a replay of the webinar: https://www.youtube.com/watch?v=BtzPgLBy56w
451 Research and NuoDB outline the key database criteria for cloud applications. Explore how applications deployed in the cloud require a combination of standard functionality, such as ANSI SQL, and new capabilities specifically required to take full advantage of cloud economics, such as elastic scalability and continuous availability.
This is a presentation that NuoDB CTO, Seth Proctor gave at a Breakfast Seminar
Seth has 15+ years of experience in the research, design and implementation of scalable systems. His particular focus is on how to make technology scale and how to make users scale effectively with their systems.
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.
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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
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
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
32. T R A D I T I O N A L N o S Q L C L O U D
C L O U D - R E A D Y
D B O F R E C O R D
Relational
& SQL ✓ × ✓ ✓
Transactional
Consistency
& Durability
✓ × ✓ ✓
DATABASE LANDSCAPE
Real-time Scale In-
and-Out × ✓ × ✓
Zero
Downtime × ✓ ✓ ✓
Hybrid Deployment × ✓ × ✓
Container
Native × × × ✓