Multi-Cloud-Datenintegration mit Datenvirtualisierung

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Watch full webinar here: https://bit.ly/3bcwEaS Laut einer aktuellen Gartner Studie nutzen 81% der Organisationen Cloud-Services von zwei oder mehreren Anbietern, um eine hohe Flexibilität und bestmögliche Performance zu erzielen. Dies führt zu einer komplexen Infrastruktur, die sowohl das Auffinden von Daten als auch den Zugriff auf diese Daten erschwert. Durch Datenvirtualisierung wird eine dezidierte Schicht für das Data-Discovery und den Datenzugriff angeboten. Durch eine „Multi-Location-Architektur“ wird den Nutzern ein umfänglicher und gemanagter Zugriff auf Daten ermöglicht. Dieser Zugriff ist unabhängig davon, ob sich die Daten in einem Rechenzentrum oder einer (beliebigen) Cloud befinden! Gleichzeitig behalten die "Data Owner" die lokale Kontrolle über ihre Daten und lokale Datenschutzbestimmungen (z.B. DSGVO) werden eingehalten. Key Takeaways dieses Webinars: - Herausforderungen bei der Einführung von Multi-Cloud-Datenstrategien - Wie mit der Denodo-Plattform ein gemanagter „Data Access Layer“ für die gesamte Organisation bereitgestellt wird - Multi-Location Architekturen, die gleichermaßen die lokale Kontrolle als auch den Echtzeitzugriff auf Daten ermöglichen

Data & Analytics

Multi-Cloud Integration mit
Datenvirtualisierung
Thomas Niewel, Technical Sales Director DACH

Agenda
1.Herausforderungen einer Cloud Strategie
2.Herausforderungen einer Multi-Cloud Strategie
3.Denodo’s Multi-Location Architecture
4.Demo
5.Key Takeaways
6.Q&A

Sprecher
Thomas Niewel
Technical Sales Director DACH,
Denodo

5
Challenges of Modern Data Management
Required expansion of Analytics
by growing consumers of data
Need for Agile
Self-Service BI
Increasing use
of third-party
data for
Information
Agility
Big Data
volumes
continue to
grow
Security and
Data Privacy
implications
becoming core
to data
strategy
Reduce or
eliminate Data
Latency
Providing data access irrespective
of Storage Location
Growth in
Hybrid &
Multi–Cloud
Deployments
Convergence
of Application
and Data
Integration

6
Modern Data Architecture
DATA
VIRTUALIZATION

7
Eine Agile Informations-Architektur
DATA
VIRTUALIZA
TION

8“Adopt the Logical Data Warehouse Architecture to Meet Your Modern Analytical Needs”.
Henry Cook, Gartner April 2018
DATA VIRTUALIZATION

9
Cloud Deployment Models
Source: Denodo Global Cloud Survey 2019

10
Cloud Deployment Models
32.66%
Multi-Cloud
Source: Denodo Global Cloud Survey 2019

IDC FutureScape: Worldwide Cloud 2018 Predictions
By 2020, over 90% of Enterprises Will Use Multiple
Cloud Services and Platforms

Benefits of Multi-Cloud Strategy
• Flexibility
• Cost optimization
• Avoid vendor lock-in
• Regulatory compliance
• Geographical flexibility
13

Challenges of Multi-Cloud Strategy
• Complexity
• Duplication
• Increased costs
• Multiple security models
• Skill sets required
• Integration
14

16
Multi-Location Architecture
• Denodo instances connected to each other
• Moving processing to data location
• Security and control localized
• Different countries, jurisdictions, etc.
• Global access without replicating data
• Denodo instances connected
• Denodo Solution Manager automates sharing
of metadata

17
Multi-Location Architecture – Example
Delegating queries to instances in remote locations:
Asia
Data Center
(Hong Kong)
North America
Data Center
(New York)
Local
Sources

18
Multi-Location Architecture – Example
Delegating queries to instances in remote locations:
Asia
Data Center
(Hong Kong)
North America
Data Center
(New York)
Local
Sources
Client

19
Multi-Cloud Integration with data Virtualization
Amazon RDS,
AuroraUS East
Availability Zone
EMEA
Availability ZoneOn-prem
data center

20
Multi-Cloud Integration with Data Virtualization

Product Demonstration:
Multi-Cloud Integration
22

24
Multi-Location Data Access
Torsten
Mary
Jane
Corporate HQ

Key Takeaways
• Data architectures become more and more complex…and
users shouldn’t have to struggle navigating this complexity
• Data Virtualization allows user to find and access data
wherever it resides – in the Cloud, on-premise, in a data
lake, in a data warehouse, in an S3 bucket, in an Excel
spreadsheet, …
• Data Virtualization enables organizations to build a modern,
flexible, and extensible data architecture that supports
multi-Cloud strategies and provides seamless access to all
data assets

29
Your next steps
Request a demo or discuss your data integration
challenges with a Denodo expert:
www.denodo.com/de/contact-us
www.denodo.com More Ressources: Browse our website!
Try Denodo for Free
• Test Drive with a private sandbox environment:
www.denodo.com/TestDrive
• Free to download, fast to deploy, and easy to use:
www.denodo.com/en/denodo-platform/denodo-
express

Thank you!
© Copyright Denodo Technologies. All rights reserved
Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and
microfilm, without prior the written authorization from Denodo Technologies.

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Watch full webinar here: https://bit.ly/3AdAzkW Hybrid cloud has become the standard for businesses. A successful move will involve using an intelligent and scalable architecture and seeking the right help. At the same time, multi-cloud strategies are on the rise. More enterprise organizations than ever before are analyzing their current technology portfolio and defining a cloud strategy that encompasses multiple cloud platforms to suit specific app workloads, and move those workloads as they see fit. Learn the key challenges in multi-hybrid data management, and how you can accelerate your digital transformation journey in a multi-cloud environment with data virtualization.

Reinventing and Simplifying Data Management for a Successful Hybrid and Multi...

Denodo

Watch full webinar here: https://bit.ly/3cbpipB Uno de los sectores en los que la transformación digital está teniendo un efecto más disruptivo es el de la fabricación. Líderes del sector manufacturero están apostando por el Big Data, la computación en la nube, la inteligencia artificial y el Internet de las Cosas (IoT) entre otras tecnologías, además de contemplar la llegada de la 5G, con el fin de: - Automatizar los procesos de manera eficiente, para permitir una mayor producción en menor tiempo - Crear valor añadido en los productos manufacturados - Conectar la planta industrial con el punto de venta - Impulsar el análisis en tiempo real de datos provenientes de diferentes cadenas de producción Sin embargo, para alcanzar estos objetivos y llevar a cabo esta revolución tecnológica, también conocida como industria 4.0, las manufacturas tienen que enfrentarse a una serie de desafíos no negligentes. El sector industrial es el que genera más datos en el mundo, y en la era digital, la velocidad, la diversidad y el volumen exponencial de los datos pueden superar las arquitecturas de TI tradicionales. Además, la mayoría de los fabricantes se enfrentan a silos de datos, lo que hace que su tratamiento sea lento y costoso. Necesitan entonces una plataforma de TI fiable que permita integrar, centralizar y analizar datos de distintas fuentes y diferentes formatos de manera ágil y segura para poner la información al servicio del negocio. Los expertos de Enki y Denodo te proponen este seminario online para descubrir qué es la virtualización de datos, y por qué líderes del sector apuestan por esta tecnología innovadora para optimizar su estrategia de TI y conseguir un ROI significativo gracias a un acceso más rápido, simple y unificado a los datos industriales.

¿Cómo las manufacturas están evolucionando hacia la Industria 4.0 con la virt...

Denodo

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.

Connecta Event: Big Query och dataanalys med Google Cloud Platform

ConnectaDigital

Watch full webinar here: https://bit.ly/3cnw5MW 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. 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 on-demand session, 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

Multi-Cloud Data Integration with Data Virtualization (APAC)

Denodo

Watch full webinar here: https://buff.ly/2GNO8PC What makes data scientists happy? Of course data. They want it fast and flexible, and they want to do it themselves. But most classic data warehouses (DW) and data lakes are not easy to deal with for agile data access. A more practical solution is the logical data warehouse (LDW), which has shown to be a more agile foundation for delivering and transforming data and makes it easy to quickly plug in new data sources. Attend this webinar to learn: * How easily new data sources can be made available for analytics and data science * How your organization can successfully migrate to a flexible LDW architecture in a step-by-step fashion * How LDWs help integrate self-service analytics with classic forms of business intelligence

Enabling Self-Service Analytics with Logical Data Warehouse

Denodo

Watch full webinar here: https://bit.ly/3puUCIc 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. Watch on-demand 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? Where does it fit?

Data Virtualization: An Introduction

Denodo

Watch the full webinar: Data Ninja Webinar Series by Denodo: https://goo.gl/QDVCjV The expanding volume and variety of data originating from sources that are both internal and external to the enterprise are challenging businesses in harnessing their big data for actionable insights. In their attempts to overcome big data challenges, organizations are exploring data lakes as consolidated repositories of massive volumes of raw, detailed data of various types and formats. But creating a physical data lake presents its own hurdles. Attend this session to learn how to effectively manage data lakes for improved agility in data access and enhanced governance. This is session 5 of the Data Ninja Webinar Series organized by Denodo. If you want to learn more about some of the solutions enabled by data virtualization, click here to watch the entire series: https://goo.gl/8XFd1O

Data Ninja Webinar Series: Realizing the Promise of Data Lakes

Denodo

Developers are constantly seeking an easier and faster way to build and ship new and modern software features and capabilities based on the latest and greatest cloud APIs. DevOps teams and IT professionals, on the other hand, face the challenge of controlling security, compliance, performance, scalability, and availability of the underlying infrastructure environments. Can both of these initiatives be achieved? These slides based on the webinar featuring Torsten Volk, research director at leading IT analyst firm EMA, highlight how to bridge the gap between these two key initiatives and transform corporate IT into an accelerator for digital transformation.

How to Transform Corporate IT into the Driver for Digital Transformation

Enterprise Management Associates

Accelerating the Path to Digital with a Cloud Data Strategy

MongoDB

This content was presented during the Smart Data Summit Dubai 2015 in the UAE on May 25, 2015, by Jesus Barrasa, Senior Solutions Architect at Denodo Technologies. In the era of Big Data, IoT, Cloud and Social Media, Information Architects are forced to rethink how to tackle data management and integration in the enterprise. Traditional approaches based on data replication and rigid information models lack the flexibility to deal with this new hybrid reality. New data sources and an increasing variety of consuming applications, like mobile apps and SaaS, add more complexity to the problem of delivering the right data, in the right format, and at the right time to the business. Data Virtualization emerges in this new scenario as the key enabler of agile, maintainable and future-proof data architectures.

Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...

Denodo

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More from Denodo

Watch full webinar here: https://buff.ly/3P3l4oK Proper monitoring of an enterprise system is critical to understanding its capacity and growth, anticipating potential issues, and even understanding key ROI metrics. This also facilitates the implementation of policies and user access audits which are key to optimizing the resource utilization in an organization. Do you want to learn more about the new Denodo features for monitoring, auditing, and visualizing enterprise monitoring data? Join us for the session with Vijayalakshmi Mani, Data Engineer at Denodo, to understand how the new features and components help in monitoring your Denodo Servers and the resource utilizations and how to extract the most out of the logs that the Denodo Platform generates including FinOps information. Watch on-demand and Learn: - What is a Denodo Monitor and what’s new in it? - How to visualize the Denodo Monitor Information and use of Diagnostics & Monitoring Tool - Introduction to the new Denodo Dashboard - Demonstration on the Denodo Dashboard

Enterprise Monitoring and Auditing in Denodo

Denodo

Watch full webinar here: https://buff.ly/4bYOOgb With the rise of cloud-first initiatives and pay-per-use systems, forecasting IT costs has become a challenge. It's easy to start small, but it's equally easy to get skyrocketing bills with little warning. FinOps is a discipline that tries to tackle these issues, by providing the framework to understand and optimize cloud costs in a more controlled manner. The Denodo Platform, being a middleware layer in charge of global data delivery, sits in a privileged position not only to help us understand where costs are coming from, but also to take action, manage, and reduce them. Attend this session to learn: - The importance of FinOps in a cloud architecture. - How the Denodo Platform can help you collect and visualize key FinOps metrics to understand where your costs are coming from? - What actions and controls the Denodo Platform offers to keep costs at bay.

Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach

Denodo

Watch full webinar here: https://buff.ly/3wBhxYb In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users. Watch on-demand and learn: - How to use a logical data fabric to build an enterprise-wide data access role model. - Centralise security when data is spread across multiple systems residing both on-premises and in the cloud. - Control and audit data access across different regions.

Achieving Self-Service Analytics with a Governed Data Services Layer

Denodo

Watch full webinar here: https://buff.ly/3UXy0A2 It should be no surprise that Generative AI will have a profound impact to data management in years to come. Much like other areas of the technology sector, the opportunities presented by GenAI will accelerate our efforts around all aspects of data management, including self-service, automation, data governance and security. On the other hand, it is also becoming clearer that to unleash the true potential of AI assistants powered by GenAI, we need novel implementation strategies and a reimagined data architecture. This presents an exhilarating yet challenging future, demanding innovative thinking and methodologies in data management. Join us on this webinar to learn about: - The opportunities and challenges presented by GenAI today. - Exploiting GenAI to democratize data management. - How to augment GenAI applications with corporate data and knowledge. - How to get started.

What you need to know about Generative AI and Data Management?

Denodo

Watch full webinar here: https://buff.ly/48rpLQ3 Join us for an enlightening webinar, "Mastering Data Compliance in a Dynamic Business Landscape," presented by Denodo Technologies and W5 Consulting. This session is tailored for business leaders and decision-makers who are navigating the complexities of data compliance in an ever-evolving business environment. This webinar will focus on why data compliance is crucial for your business. Discover how to turn compliance into a competitive advantage, enhancing operational efficiency and market trust. We'll also address the risks of non-compliance, including financial penalties and the loss of customer trust, and provide strategies to proactively overcome these challenges. Key Takeaways: - How can your business leverage data management practices to stay agile and compliant in a rapidly changing regulatory landscape? - Keys to balancing data accessibility with security and privacy in today's data-driven environment. - What are the common pitfalls in achieving compliance with regulations like GDPR, CCPA, and HIPAA, and how can your business avoid them? We will go beyond the technical aspects and delve into how you can strategically position your organization in the realm of data management and compliance. Learn how to craft a data compliance strategy that aligns with your business goals, enhances operational efficiency, and builds stakeholder trust.

Mastering Data Compliance in a Dynamic Business Landscape

Denodo

Watch full webinar here: https://buff.ly/3OCQvGk In this session, Denodo Sales Engineer, Yik Chuan Tan, will guide you through the art of delivering a compelling demo of the Denodo Platform with Denodo Demo Lite. Watch to uncover the significant functionalities that set Denodo apart and learn how to effectively win over potential customers. In this session, we will cover: Understanding the Denodo Platform & Tailoring Your Demo to Prospect Needs: By gaining a comprehensive understanding of the Denodo Platform, its architecture, and how it addresses data management challenges, you can customize your demo to align with the specific needs and pain points of your prospects, including: - seamless data integration with real-time access - data security and governance - self-service data discovery - advanced analytics and reporting - performance optimization scalability and deployment Watch this Denodo demo session and acquire the skills and knowledge necessary to captivate your prospects. Whether you're a seasoned technical professional or new to the field, this session will equip you with the skills to deliver compelling demos that lead to successful conversions.

Denodo Partner Connect: Business Value Demo with Denodo Demo Lite

Denodo

Watch full webinar here: https://buff.ly/3wdI1il As organizations compete in new markets and new channels, business data requirements include new data platforms and applications. Migration to the cloud typically adds more distributed data when operations set up their own data platforms. This spreads important data across on-premises and cloud-based data platforms. As a result, data silos proliferate and become difficult to access, integrate, manage, and govern. Many organizations are using cloud data platforms to consolidate data, but distributed environments are unlikely to go away. Organizations need holistic data strategies for unifying distributed data environments to improve data access and data governance, optimize costs and performance, and take advantage of modern technologies as they arrive. This TDWI Expert Panel will focus on overcoming challenges with distributed data to maximize business value. Key topics this panel will address include: - Developing the right strategy for your use cases and workloads in distributed data environments, such as data fabrics, data virtualization, and data mesh - Deciding whether to consolidate data silos or bridge them with distributed data technologies - Enabling easier self-service access and analytics across a distributed data environment - Maximizing the value of data catalogs and other data intelligence technologies for distributed data environments - Monitoring and data observability for spotting problems and ensuring business satisfaction

Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...

Denodo

Watch full webinar here: https://buff.ly/3UE5K5l The ability to recognize and flag sensitive information within corporate datasets is essential for compliance with emerging privacy laws, for completing a privacy impact assessment (PIA) or data subject access request (DSAR), and also for cyber-insurance compliance. During this session, we will discuss data privacy laws, the challenges they present, and how they can be applied with modern tools. Join us for the session driven by Mark Rowan, CEO at Data Sentinel, and Bhavita Jaiswal, SE at Denodo, who will show how a data classification engine augments Data Catalog to support data governance and compliance objectives. Watch on-demand & Learn: - Changing landscape of data privacy laws and compliance requirements - How to create a data classification framework - How Data Sentinel classifies data and this can be integrated into Denodo - Using the enhanced data classifications via consuming tools such as Data Catalog and Power BI

Drive Data Privacy Regulatory Compliance

Denodo

Watch full webinar here: https://buff.ly/3OETC08 По данным аналитической компании Gartner, "к 2022 году 60% предприятий включат виртуализацию данных в качестве основного метода доставки данных в свою интеграционную архитектуру". Компания Gartner назвала Denodo лидером в Магическом квадранте 2020 года по инструментам интеграции данных. В ходе этого 1,5-часового занятия вы узнаете, как виртуализация данных революционизирует бизнес и ИТ-подход к доступу, доставке, потреблению, управлению и защите данных, независимо от возраста вашей технологии, формата данных или их местонахождения. Эта зрелая технология устраняет разрыв между ИТ и бизнес-пользователями и обеспечивает значительную экономию средств и времени. **ФОРМАТ Онлайн-семинар продолжительностью 1 час 30 минут. Благодаря записи вы можете выполнять упражнения в своем собственном темпе. **ДЛЯ КОГО ЭТОТ СЕМИНАР? ИТ-менеджеры / архитекторы Специалисты по анализу данных / аналитики CDO **СОДЕРЖАНИЕ В программе: введение в суть виртуализации данных, примеры использования, реальные примеры из практики клиентов и демонстрация возможностей платформы Denodo Platform: Интеграция и предоставление данных быстро и легко с помощью платформы Denodo Platform 8.0 Оптимизатор запросов Denodo предоставляет данные в режиме реального времени, по запросу, даже для очень больших наборов данных Выставлять данные в качестве "сервисов данных" для потребления различными пользователями и инструментами Каталог данных: Открывайте и документируйте данные с помощью нашего Каталога данных пространства для самостоятельного доступа к данным. Виртуализация данных играет ключевую роль в управлении и обеспечении безопасности данных в вашей организации **ПОВЕСТКА Введение в виртуализацию данных Примеры использования и примеры из практики клиентов Архитектура - Управление и безопасность Производительность Демо Следующие шаги: как самостоятельно протестировать и внедрить платформу Интерактивная сессия вопросов и ответов

Знакомство с виртуализацией данных для профессионалов в области данных

Denodo

Watch full webinar here: https://buff.ly/41Zf31D Despite recent and evolving technological advances, the vast amounts of data that exist in a typical enterprise is not always available to all stakeholders when they need it. In modern enterprises, there are broad sets of users, with varying levels of skill sets, who strive to make data-driven decisions daily but struggle to gain access to the data needed in a timely manner. Join our webinar to learn how to: - Unlock the Power of Your Data: Discover how data democratization can transform your organization by giving every user access to the data they need, when they need it. - Say 'Goodbye' to Data Fragmentation: Learn practical strategies to break down data silos and foster a more collaborative and efficient data environment. - Realize the Full Potential of Your Data: Hear success stories about industry leaders who have embraced data democratization and witnessed tangible results.

Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation

Denodo

Denodo Partner Connect - Technical Webinar - Ask Me Anything

Denodo

Watch full webinar here: https://buff.ly/3SnH5QY 2023 is coming to an end where organisations dependency on trusted, accurate, secure and contextual data only grows more challenging. The perpetual aspect in seeking new architectures, processes, organisational team structures to "get the business their data" and reduce the operating costs continues unabated. While confidence from the business in what "value" is being derived or "to be" delivered from these investments in data, is being heavily scrutinised. 2023 saw significant new releases from vendors, focusing on the Data Fabric. At this session we will look at these topics and key takeaways for 2023, including; - Data management and data integration market highlights for 2023 - Key achievements for Denodo in their journey as a leader in this market - A few case studies from Australian organisations in how they are delivering strategic business value through Denodo's Data Fabric platform and what they have been doing differently

Lunch and Learn ANZ: Key Takeaways for 2023!

Denodo

Watch full webinar here: https://buff.ly/3S4Y49o A little over a year ago, we would not have expected the disruptions caused by the rise of Generative AI. If 2023 was a groundbreaking year for AI, what will 2024 bring? More importantly, what can you do now to take advantage of these trends and ensure you are future-proof? For example: - Generative AI will become more powerful and user-friendly, enabling novel and realistic content creation and automation. - Data Architectures will need to adapt to feed these powerful new models. - Data ecosystems are moving to the cloud, but there is a growing need to maintain control of costs and optimize workloads better. Join us for a discussion on the most significant trends in the Data & AI space, and how you can prepare to ride this wave!

It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward

Denodo

Watch full webinar here: https://buff.ly/3O7rd2R Afin d’être conformes au RGPD, les entreprises ont besoin d'avoir une vue d'ensemble sur toutes leurs données et d'établir des contrôles de sécurité sur toute l'infrastructure. La virtualisation des données de Denodo permet de rassembler les multiples sources de données, de les rendre accessibles à partir d'une seule couche, et offre des capacités de monitoring pour surveiller les changements. Pour cela, Square IT Services a développé pour l’un de ses grands clients français prestigieux dans le secteur du luxe une interface utilisateur ergonomique qui lui permet de consulter les informations personnelles de ses clients, vérifier leur éligibilité à pratiquer leur droit à l'oubli, et de désactiver leurs différents canaux de notification. Elle dispose aussi d'une fonctionnalité d'audit qui permet de tracer l'historique des opérations effectuées, et lui permet donc de retrouver notamment la date à laquelle la personne a été anonymisée. L'ensemble des informations remontées au niveau de l'application sont récupérées à partir des APIs REST exposées par Denodo. Dans ce webinar, nous allons détailler l’ensemble des fonctionnalités de l’application DPO-Cockpit autour d’une démo, et expliquer à chaque étape le rôle central de Denodo pour réussir à simplifier la gestion du RGPD tout en étant compliant. Les points clés abordés: - Contexte client face aux enjeux du RGPD - Défis et challenges rencontrés - Options et choix retenu (Denodo) - Démarche: architecture de la solution proposée - Démo de l'outil: fonctionnalités principales

Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...

Denodo

Watch full webinar here: https://buff.ly/48zzN2h In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users. Tune in and learn: - How to use a logical data fabric to build an enterprise-wide data access role model. - Centralise security when data is spread across multiple systems residing both on-premises and in the cloud. - Control and audit data access across different regions.

Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...

Denodo

Watch full webinar here: https://buff.ly/4aAi0cS Organizations continue to collect mounds of data and it is spread over different locations and in different formats. The challenge is navigating the vastness and complexity of the modern data ecosystem to find the right data to suit your specific business purpose. Data is an important corporate asset and it needs to be leveraged but also protected. By adopting an alternate approach to data management and adapting a logical data architecture, data can be democratized while providing centralized control within a distributed data landscape. The web-based Data Catalog tool acts as a single access point for secure enterprise-wide data access and governance. This corporate data marketplace provides visibility into your data ecosystem and allows data to be shared without compromising data security policies. Catch this live webinar to understand how this approach can transform how you leverage data across the business: - Empower the knowledge worker with data and increase productivity - Promote data accuracy and trust to encourage re-use of important data assets - Apply consistent security and governance policies across the enterprise data landscape

How to Build Your Data Marketplace with Data Virtualization?

Denodo

Watch full webinar here: https://buff.ly/3vhzqL5 Join our exclusive webinar series designed to empower credit unions with transformative insights into the untapped potential of data. Explore how data can be a strategic asset, enabling credit unions to overcome challenges and foster substantial growth. This webinar will delve into how data can serve as a catalyst for addressing key challenges faced by credit unions, propelling them towards a future of enhanced efficiency and growth.

Webinar #2 - Transforming Challenges into Opportunities for Credit Unions

Denodo

Watch full webinar here: https://buff.ly/48A4Yu1 Data catalogs are increasingly important in any modern data-driven organization. They are essential to manage and make the most of the huge amount of data that any organization uses. As this information is continuously growing in size and complexity, data catalogs are key to providing Data Discovery, Data Governance, and Data Lineage capabilities. Join us for the session driven by David Fernandez, Senior Technical Account Manager at Denodo, to review the latest features aimed at improving the usability of the Denodo Data Catalog. Watch on-demand & Learn: - Enhanced search capabilities using multiple terms. - How to create workflows to manage internal requests. - How to leverage the AI capabilities of Data Catalog to generate SQL queries from natural language.

Enabling Data Catalog users with advanced usability

Denodo

Watch full webinar here: https://buff.ly/3vjrn0s The purpose of the Denodo Platform 8.0 Certified Architect Associate (DEN80EDUCAA) exam is to provide organizations that use Denodo Platform 8.0 with a means of identifying suitably qualified data architects who understand the role and position of the Denodo Platform within their broader information architecture. This exam covers the following technical topics and subject areas: - Denodo Platform functionality, including - Governance and metadata management - Security - Performance optimization - Caching - Defining Denodo Platform use scenarios Along with some sample questions, a Denodo Sales Engineer will help you prepare for exam topics and ace the exam. Join us now to start your journey toward becoming a Certified Denodo Architect Associate!

Denodo Partner Connect: Technical Webinar - Architect Associate Certification...

Denodo

Watch full webinar here: https://buff.ly/3NLMSNM El Generative AI y los Large Language Models (LLMs), encabezados por GPT de OpenAI, han supuesto la mayor revolución en el mundo de la computación de los últimos años. Pero ¿Cómo afectan realmente a la gestión de datos? ¿Reemplazarán los LLMs al profesional de la gestion de datos? ¿Cuánto hay de mito y cuánto de realidad? En esta sesión revisaremos: - Que es la Generative AI y por qué es importante para la gestión de datos - Presente y futuro de aplicación de genAI en el mundo de los datos - Cómo preparar tu organización para la adopción de genAI

GenAI y el futuro de la gestión de datos: mitos y realidades

Denodo

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Show drafts volume_up Empowering the Data Analytics Ecosystem: A Laser Focus on Value The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem: 1. Democratize Access, Not Data: Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse. Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources. 2. Foster Collaboration with Clear Roles: Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities. Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together. 3. Leverage Advanced Analytics Strategically: AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis. Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems. 4. Prioritize Data Quality with Automation: Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues. Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors. 5. Cultivate a Data-Driven Mindset: Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making. Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action. Benefits of a Precise Ecosystem: Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency. Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights. Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement. Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation. By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.

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Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/

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SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation" Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults Description: Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project. Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas

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Multi-Cloud-Datenintegration mit Datenvirtualisierung

1. Multi-Cloud Integration mit Datenvirtualisierung Thomas Niewel, Technical Sales Director DACH

2. Agenda 1.Herausforderungen einer Cloud Strategie 2.Herausforderungen einer Multi-Cloud Strategie 3.Denodo’s Multi-Location Architecture 4.Demo 5.Key Takeaways 6.Q&A

3. Sprecher Thomas Niewel Technical Sales Director DACH, Denodo

4. Challenges of Modern Data Management 4

5. 5 Challenges of Modern Data Management Required expansion of Analytics by growing consumers of data Need for Agile Self-Service BI Increasing use of third-party data for Information Agility Big Data volumes continue to grow Security and Data Privacy implications becoming core to data strategy Reduce or eliminate Data Latency Providing data access irrespective of Storage Location Growth in Hybrid & Multi–Cloud Deployments Convergence of Application and Data Integration

6. 6 Modern Data Architecture DATA VIRTUALIZATION

7. 7 Eine Agile Informations-Architektur DATA VIRTUALIZA TION

8. 8“Adopt the Logical Data Warehouse Architecture to Meet Your Modern Analytical Needs”. Henry Cook, Gartner April 2018 DATA VIRTUALIZATION

9. 9 Cloud Deployment Models Source: Denodo Global Cloud Survey 2019

10. 10 Cloud Deployment Models 32.66% Multi-Cloud Source: Denodo Global Cloud Survey 2019

11. IDC FutureScape: Worldwide Cloud 2018 Predictions By 2020, over 90% of Enterprises Will Use Multiple Cloud Services and Platforms

12. Multi-Cloud Challenges 12

13. Benefits of Multi-Cloud Strategy • Flexibility • Cost optimization • Avoid vendor lock-in • Regulatory compliance • Geographical flexibility 13

14. Challenges of Multi-Cloud Strategy • Complexity • Duplication • Increased costs • Multiple security models • Skill sets required • Integration 14

15. Denodo’s Multi-Location Architecture 15

16. 16 Multi-Location Architecture • Denodo instances connected to each other • Moving processing to data location • Security and control localized • Different countries, jurisdictions, etc. • Global access without replicating data • Denodo instances connected • Denodo Solution Manager automates sharing of metadata

17. 17 Multi-Location Architecture – Example Delegating queries to instances in remote locations: Asia Data Center (Hong Kong) North America Data Center (New York) Local Sources

18. 18 Multi-Location Architecture – Example Delegating queries to instances in remote locations: Asia Data Center (Hong Kong) North America Data Center (New York) Local Sources Client

19. 19 Multi-Cloud Integration with data Virtualization Amazon RDS, AuroraUS East Availability Zone EMEA Availability ZoneOn-prem data center

20. 20 Multi-Cloud Integration with Data Virtualization

21. Product Demonstration: Multi-Cloud Integration 22

22. 24 Multi-Location Data Access Torsten Mary Jane Corporate HQ

23. Demo 25

24. Key Takeaways 26

25. Key Takeaways • Data architectures become more and more complex…and users shouldn’t have to struggle navigating this complexity • Data Virtualization allows user to find and access data wherever it resides – in the Cloud, on-premise, in a data lake, in a data warehouse, in an S3 bucket, in an Excel spreadsheet, … • Data Virtualization enables organizations to build a modern, flexible, and extensible data architecture that supports multi-Cloud strategies and provides seamless access to all data assets

26. Q&A

27. 29 Your next steps Request a demo or discuss your data integration challenges with a Denodo expert: www.denodo.com/de/contact-us www.denodo.com More Ressources: Browse our website! Try Denodo for Free • Test Drive with a private sandbox environment: www.denodo.com/TestDrive • Free to download, fast to deploy, and easy to use: www.denodo.com/en/denodo-platform/denodo- express

28. Thank you! © Copyright Denodo Technologies. All rights reserved Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies.

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