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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

Introduction to Modern Data Virtualization 2021 (APAC)

According to Gartner, “By 2018, organizations with data virtualization capabilities will spend 40% less on building and managing data integration processes for connecting distributed data assets.” This solidifies Data Virtualization as a critical piece of technology for any flexible and agile modern data architecture. This session will: • Introduce data virtualization and explain how it differs from traditional data integration approaches • Discuss key patterns and use cases of Data Virtualization • Set the scene for subsequent sessions in the Packed Lunch Webinar Series, which will take a deeper dive into various challenges solved by data virtualization. Agenda: • Introduction & benefits of DV • Summary & Next Steps • Q&A Watch full webinar here: https://goo.gl/EFQNFs This webinar is part of the Data Virtualization Packed Lunch Webinar Series: https://goo.gl/W1BeCb

Data Virtualization: An Introduction

Watch full webinar here: https://bit.ly/3hfEO6d Die SAP Analytics Cloud (kurz "SAC" genannt) ist ein Service in der Cloud, der umfangreiche Analysefunktionen für Benutzer in einem Produkt bereit stellt. Wie immer bei der SAP ist auch die SAC technologisch gut integriert in die Welt der SAP Systeme. Doch die Daten, die Unternehmen heutzutage analysieren möchten, befinden sich sehr häufig in den unterschiedlichsten Datenquellen: In relationalen Datenbanken, in Data Lakes, in Webservices, in Dateien, in NoSQL Datenbanken,... Und so stellt sich zwangsläufig die Frage, wie Sie aus der SAC heraus alle Daten konnektieren, transformieren und kombinieren können. Und das möglichst live, d.h. mit Abfragen auf Echtzeit-Daten! Hier kommt die Datenvirtualisierung ins Spiel: Sie bietet Anwendungen (so auch der SAC) einen einheitlichen, integrierten und performanten Zugriff auf SAP Daten und non-SAP Daten. Erfahren Sie in diesem Webcast: - Wie die Datenvirtualisierung funktioniert (in a Nutshell) - Wie Sie aus der SAC heraus auf alle ihre Daten in Echtzeit zugreifen können ("Live Data Connection" genannt) - Wie die Datenvirtualisierung die Performance auch für Abfragen auf grossen Datenmengen optimiert

SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?

Watch full webinar here: https://bit.ly/3xepiQa Denodo customer McCormick created a logical data fabric (LDF) with data virtualization, to create Enterprise Data Service (EDS) for self-service analytics, integration, web and mobile applications. Listen to this presentation to learn how McCormick uses LDF for better business decisions and strategic planning via democratized information assets and in the process minimize information consumption risks via centralized security model.

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Watch Paul's session from Fast Data Strategy on-demand here: https://goo.gl/3veKqw "Through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration" according to Gartner. It is clear that data virtualization has become a driving force for companies to implement an agile, real-time and flexible enterprise data architecture. Attend this session to learn: • What data virtualization actually means and how it differs from traditional data integration approaches • The most important use cases and key patterns of data virtualization • The benefits of data virtualization

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Watch full webinar here: https://bit.ly/3xdSTIU Digital Transformation has changed IT the way information services are delivered. The pace of business engagement, the rise of Digital IT (formerly known as “Shadow IT), has also increased demands on IT, especially in the area of Data Management. Data Services exploits widely adopted interoperability standards, providing a strong framework for information exchange but also has enabled a growth of robust systems of engagement that can now exploit information that was normally locked away in some internal silo. Join us for our upcoming Middle East Webinar series episode, “Data Services and the Modern Data Ecosystem,” presented by Chief Evangelist MEA, Alexey Sidorov. Tune-in as we explore how a business can easily support and manage a Data Service ecosystem, providing a more flexible approach for information sharing supporting an ever diverse community of consumers. Watch on-demand this webinar to learn: - Why Data Services are a critical part of a modern data ecosystem - How IT teams can manage Data Services and the increasing demand by businesses - How Digital IT can benefit from Data Services and how this can support the need for rapid prototyping allowing businesses to experiment with data and fail fast where necessary. - How a good Data Virtualization platform can encourage a culture of Data amongst business consumers (internally and externally)

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Watch full webinar here: https://bit.ly/3uqcAN0 Self-service is a major goal of modern data strategists. A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. As data unification and data collaboration become key critical success factors for organizations, data catalogs play a key role as the perfect companion for a virtual layer to fully empower those self-service initiatives and build a self-service data marketplace requiring minimal IT intervention. Denodo’s Data Catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It provides business users with the tool to generate their own insights with proper security, governance, and guardrails. In this session we will cover: - The role of a virtual semantic layer in self-service initiatives - Key ingredients of a successful self-service data marketplace Self-service (consumption) vs. inventory catalogs - Best practices and advanced tips for successful deployment - A Demonstration: Product Demo - Examples of customers using Denodo’s Data Catalog to enable self-service initiatives

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Watch full webinar here: https://bit.ly/3zVUXWp In this webinar, we’ll be tackling the question of where our data is and how we can avoid it falling into a black hole. We’ll examine how data blackholes and silos come to be and the challenges these pose to organisations. We will also look at the impact of data silos as organisations adopt more complex multi-cloud setups. Finally, we will discuss the opportunities a logical data fabric poses to assist organisations to avoid data silos and manage data in a centrally governed and controlled environment. Join us and Barc’s Jacqueline Bloemen on this webinar to get the answer and further insights on how to better avoid falling into a #datablackhole. Hope to see you connected!

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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

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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.

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Watch full webinar here: https://bit.ly/3FHKalT Given the growing demand for analytics and the need for organizations to advance beyond dashboards to self-service analytics and more sophisticated algorithms like machine learning (ML), enterprises are moving towards a unified environment for data and analytics. What is the best approach to accomplish this unification? In TDWI’s recent Best Practice Report, Unified Platforms for Modern Analytics, written by Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics, adoption, use, challenges, architectures, and best practices for unified platforms for modern analytics is explored. One of the approaches for unification outlined in the report is a data fabric approach. Join us for a webinar with our Director of Product Marketing, Robin Tandon, where he will discuss the role of the logical data fabric in a unified platform for modern analytics, focusing on several of the key findings outlined in this report. He will share insights and use case examples that demonstrate how a properly implemented logical data fabric is the most suitable approach for Unified Data Platforms across enterprises and organizations. Watch on-demand & Learn: - The benefits of a unified platform and its ability to capture diverse & emerging data types and how to support high performance and scalable solutions. - The role of an enhanced AI driven data catalog and its implications towards the findings in the best practice report. - Implications of a logical data fabric as it relates to several of the recommendations outlined in the report.

The Role of the Logical Data Fabric in a Unified Platform for Modern Analytics

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.

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Watch full webinar here: https://bit.ly/2O2r3NP In the last several decades, BI has evolved from large, monolithic implementations controlled by IT to orchestrated sets of smaller, more agile capabilities that include visual-based data discovery and governance. These new capabilities provide more democratic analytics accessibility that is increasingly being controlled by business users. However, given the rapid advancements in emerging technologies such as cloud and big data systems and the fast changing business requirements, creating a future-proof data management strategy is an incredibly complex task. Catch this on demand session to understand: - BI program modernization challenges - What is data virtualization and why is its adoption growing so quickly? - How data virtualization works and how it compares to alternative approaches to data integration - How modern data virtualization can significantly increase agility while reducing costs

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Watch full webinar here: https://buff.ly/2YhiPos "By 2020, over 90% of Enterprises Will Use Multiple Cloud Services and Platforms" - IDC FutureScape: Worldwide Cloud 2018 Predictions More and more organization are adopting multi-cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single cloud provider, they often have data and applications spread across different cloud regions to support different business units or geographies. The result of this is a high distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging. Data virtualization provides a data discovery and access layer that allows data users across the organization access the data that they need for their work - irrespective of whether the data is in a data center or in the cloud - any cloud! The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA!). In this webinar, you will learn about: *The challenges facing organizations as they adopt multi-cloud data strategies *How the Denodo Platform provides a managed data access layer across the organization *The different multi-location architectures that can maximize local control over data while still making it readily available *How organizations have benefited from using the Denodo Platform as a multi-cloud data access layer

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Watch full webinar here: https://bit.ly/30mHuYH What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Denodo’s vision is to provide a unified data delivery layer as a logical data fabric, to bridge the gap between the IT and the business, hiding the underlying complexity and creating a semantic layer to expose data in a business friendly manner. Attend this webinar to learn: - What data virtualization really is - How it differs from other enterprise data integration technologies - Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations - Business Value of data virtualization and customer use cases - Highlights of the newly launched Denodo Platform 8.0

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Watch: https://bit.ly/2E99UNO The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms. Cloud has become a key component of modern architecture design. Data lakes, IoT, NoSQL, SaaS, etc. coexist with relational databases to fuel the needs of modern analytics, ML and AI. Exploring and understanding the data available within your organization is a time-consuming task. And all of this without even knowing if that data will be useful at all. Attend this session to learn: - How dynamic data challenges and the speed of change requires a new approach to data architecture. - Learn how logical data architecture can enable organizations to transition data faster to the cloud with zero downtime. - Explore how data as a service and other API management capabilities is a must in a hybrid cloud environment.

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Warning! You can still build the wrong product using agile. In Eric Ries’ book The Lean Startup, he poses the question: What if we found ourselves building something that nobody wanted? In that case, what would it matter if we did it on time and on budget? We often assume the Product Owner is smart enough to define the right product. But what if we are wrong? Michael Hall shares lean startup principles and how they can be applied to ensure that the product we are building is righteous. Learn new agile concepts such as hypothesis-driven project vision, knowledge broker personas, learning maps, minimum learning product, experiment backlogs, experiment test iterations, validated learning, and pivot/persevere decisions. Case studies and Michael’s first-hand product experience emphasize the learning points. New and mature agilistas alike will leave the session armed with Lean Startup agile techniques that can be applied immediately on their agile projects.

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