Name: Data Virtualization for Information Agility: An Overview
Start: 2015-09-03T18:00:00Z
End: 2015-09-03T19:02:27.000Z
Location: BrightTALK
Rating: 4.67

For IT professionals who are focused on data integration and enterprise data management and are overwhelmed by the growing number of data and data types, data virtualization provides real-time integration with agility to access and integrate disparate sources with ease.  For business professionals, Data Virtualization brings agile information access that in turn drives business agility.  The webcasts provided in this channel by Denodo, the leader in Data Virtualization, provide the latest in common usage patterns, use cases, best practices and strategies for driving business value with data virtualization.

Adopting a Logical Data Architecture for Today's Data & Analytics Requirements!

How semantics simplify data sharing at enterprise level!

How do you further strengthen your Data Lake capability?

Melhorar a tomada de decisões baseada em dados é muitas vezes o objetivo central das iniciativas de transformação digital. Mas para que essas iniciativas sejam bem-sucedidas, é essencial fazê-lo em todos os níveis da organização. Democratizar o acesso à tecnologia e, em particular, aos dados, é fundamental para uma estratégia moderna de análise de dados.

No entanto, abrir o acesso a mais dados e a usuários menos técnicos cria novos desafios que precisam ser gerenciados de forma eficiente se não quisermos correr o risco de introduzir riscos de segurança ou complexidades desnecessárias.

Felizmente, nos últimos anos, vimos novas arquiteturas de gerenciamento de dados, como o data fabric e data mesh, e como eles ajudam a resolver esses problemas. Nesta sessão, analisaremos os benefícios e riscos dessas abordagens, demonstraremos também como ferramentas além da premiada plataforma Denodo são fundamentais nessas arquiteturas.

Participe de nosso webinar e descubra a Denodo!

Por que a democratização de dados é fundamental na análise moderna

So your company has decided to modernize its systems and migrate to the Cloud. Or, maybe, you're in the middle of this modernization and migration process right now. Taking advantage of the dynamic agility and flexibility of the Cloud offerings is certainly something to look forward to. But how do you ensure that your users can access the data that they need from the various Cloud and on-premise data sources - before, during, and after the migrations?
 
The Cloud vendors will tell you that if you move your data to the Cloud, you won't need technologies like data virtualization. Is this true? Is it possible to migrate your data to the Cloud and deliver all of the data that your users need without the help of any other technology?
 
This is the myth we’ll be addressing in this Myth Busters webinar. 


Join us for this webinar as we explore the challenges and pitfalls of Cloud modernization and whether data virtualization is needed to deliver the value that your company expects from these initiatives.

Myth Busters VIII: I'm moving to the Cloud, so I don't need data virtualization

TechTalks: Unraveling the Data Lake: MPP integration within a Logical Data Fabric

With the appearance of cloud object storage services like AWS S3 or Azure ADLS, the data lake has seen an upturn in usage as some of the challenges of the original idea were addressed. However, companies across the globe still find it challenging to adopt data lakes into the corporate data ecosystem. While almost infinite in storage, data retrieval from these sources and integration of the data with the corporate ecosystem is still an arduous task for data engineers. This leads to data lakes becoming either a silo or a secondary form of storage instead of feeding business processes and creating value.

Join us in this session with Antonio Tortosa, a Technical Consultant at Denodo, who will discuss how the integration power of a logical data fabric working in tandem with the processing power of an MPP engine allows businesses to unravel their existing data lakes and seamlessly adopt them into the corporate data ecosystem. By the end of the session, you will have an understanding of how the Denodo Platform can help connect, explore, and integrate data lakes into a logical data fabric.

Topics covered in this session:
- Why Massive Parallel Processing.
- How Denodo leverages the computational power of MPP engines.
- How Denodo and Presto can be used to process and integrate disparate data, including that of a data lake.

Unraveling the Data Lake: MPP integration within a Logical Data Fabric (APAC)

According to a recent Forrester survey, while 85% of organizations want to improve their use of data insights in their decision making, 91% of the respondents report that they are not able to improve upon their data-driven decision making.

The problem - organizations often turn to the data lakes, data lake houses, cloud data warehouses etc. as their monolithic data repository, for all of their data and analytics needs. But the hard reality is that data is and will be spread across multiple repositories that extend across cloud and regional boundaries.

Attend this webinar to gain key insights on why a logical data fabric powered by data virtualization is critical for any organization's data and analytics.

Attend & Learn:

- What is a logical data fabric and its key components
- Why organizations are adopting a logical data fabric as opposed to a physical one
- How it helps business users, data scientists, and other data consumers alike in data access, consumption and data-driven decisions
- How organizations are using logical data fabric for faster time-to-insights

Logical Data Fabric Powered by Data Virtualization: An Overview

Data is being underutilized, meaning you are likely making decisions with only a partial view of what is happening in the organization. Data is stored in hundreds of applications and systems – like ERP, SCM, and CRM systems.
Join Denodo, Gateway Architects and W5 Consulting to learn how to empower anyone in your organization to find, access, integrate, and share data securely, regardless of where the data may reside. 
Attend this webinar to learn:
-  How to modernize your data architecture using a logical data access layer
-  How it provides support for SAP Migrations and sharing of SAP data across geographical boundaries
-  How to improve agility around your supply chain management

Become More Data-driven by Leveraging Your SAP Data

A microservices-driven architecture leveraging independent API service endpoints can provide an enterprise with incredible flexibility and agility in its application development process. With that said, it can often be time-consuming and challenging to develop a robust and scalable data services layer. A data fabric layer powered by the Denodo Platform can accelerate the creation of data service APIs powered by real-time data on top of all enterprise data sources. This means developers can create more data-driven, intelligent applications that are critical in modern enterprises today.

This webinar will discuss how you can leverage Denodo to develop such a data services API layer and how customer such as Swiss Re is using Denodo to deliver 360 degrees views of customer data and improve their overall decision-making process.

Turbocharge your microservices architecture using a data fabric layer!

Nobody needs to tell organizations dependent on supply chains that recent times have been full of uncertainty. Disruptions, economic challenges, global crises, and sudden changes in consumer demand continue to test resilience and agility. Supply chains today are complex and global, often involving hundreds, if not thousands, of suppliers and products at different stages of the journey from raw materials to finished goods in the hands of customers. However, data is distributed everywhere across global supply chains, and it is not always accessible, usable, up-to-date, or well governed. Critical opportunities to succeed in the supply chain by leveraging trusted data are missed.

Behind the physical supply chain, organizations need a data supply chain: one that enables you to develop and share insights across partners, use governed information flows to manage inventories and reduce costs, and increase real-time awareness of changing situations so you can adapt quickly.

Watch this TDWI Virtual Solution Summit to learn how to modernize your data strategy to minimize disruptions, increase agility, and optimize supply chains. Speakers will discuss forward-looking best practices for fixing systematic issues that make data sharing difficult. We will discuss how logical data fabrics and data virtualization can help you increase the business value of data in your supply chain.

Attachment #1
Title:
30 day Free - Try Denodo Professional on your choice of cloud environment
Description:
Experience the power of Denodo’s modern data virtualization in the cloud with a free trial of Denodo Professional, the easy, efficient way to get started using The Denodo Platform.
URL
https://www.denodo.com/en/denodo-platform/free-trials?utm_source=webinar-BT&utm_medium=attachment


Attachment #2
Title:
Webinar slides
Description:
Slides for Webinar:  “name of webinar”
URL
Attached PDF of final slides

Reduce Supply Chain Friction through the Power of Integrated Data

TechTalks: Unraveling the Data Lake: MPP integration within a Logical Data Fabric

With the appearance of cloud object storage services like AWS S3 or Azure ADLS, the data lake has seen an upturn in usage as some of the challenges of the original idea were addressed. However, companies across the globe still find it challenging to adopt data lakes into the corporate data ecosystem. While almost infinite in storage, data retrieval from these sources and integration of the data with the corporate ecosystem is still an arduous task for data engineers. This leads to data lakes becoming either a silo or a secondary form of storage instead of feeding business processes and creating value. 
            
Join us in this session with Antonio Tortosa, a Technical Consultant at Denodo, who will discuss how the integration power of a logical data fabric working in tandem with the processing power of an MPP engine allows businesses to unravel their existing data lakes and seamlessly adopt them into the corporate data ecosystem. By the end of the session, you will have an understanding of how the Denodo Platform can help connect, explore, and integrate data lakes into a logical data fabric.
             
Topics covered in this session:
Why Massive Parallel Processing.
How Denodo leverages the computational power of MPP engines.
How Denodo and Presto can be used to process and integrate disparate data, including that of a data lake.

Unraveling the Data Lake: MPP integration within a Logical Data Fabric

Los datos están en el corazón de todas las organizaciones. Sin embargo, en los últimos años se ha demostrado que, en la mayoría de las ocasiones, los datos están más distribuidos que centralizados. Es por ello que una estrategia y planificación adecuada de la infraestructura de datos es clave para el éxito empresarial. 

De aquí vienen nuevas tendencias de innovación. Te invitamos a nuestro webinar para hablar de las últimas tendencias de este 2023, en materia de innovación en la infraestructura de gestión de datos y en los campos relacionados con las arquitecturas de datos. 

Conéctate y descubre sobre:
- La necesidad de las empresas por actualizar su infraestructura de TI
- La adopción de las arquitecturas multi-cloud
- La adopción acelerada de data fabric y data mesh
- Implantación de procesos empresariales aumentados con Inteligencia Artificial

Últimas tendencias en gestión y análisis de datos: Lo que esta por venir

Traditional Data Management approaches that rely on collecting data within a centralized data store, such as a cloud data warehouse or data lake, are core building blocks for your data modernization efforts. However, you need more to address the diverse needs of today's businesses. Hybrid/Multi-cloud, SaaS, and data privacy laws are just a few examples of why data will remain distributed. 
In this session, Paul Moxon, SVP Data Architecture and Chief Evangelist with Denodo, will discuss why you need to complement these centralized solutions with a logical data management platform that establishes an abstraction layer across all enterprise data assets, enabling immediate access to any dataset regardless of its location, format, or latency.

Attend & Learn: 
The need for a modern cloud data architecture
Trends and Best Practices for a modern data stack
The foundational capabilities required when building a Data Fabric and/or Data Mesh architecture.
How to simplify your data governance and security programs.

Building the Foundation of a Modern Data Architecture

Data Fabric and Data Mesh have been trending high in the data and analytics space, so what is a data fabric and what is a data mesh? How are they different and does it matter?
In this session, we will discuss the market and analyst views of these two approaches and how they complement each other. We will be joined by Shanmuga Sunthar, APAC Director of Architecture & Chief Evangelist, who will share his insight on these topics.
Attend this session to learn:
- Concepts of a logical data fabric and also the processes outlined in a data mesh.
- How the logical approach to data management and integration is both as relevant for a logical data fabric as well as a data mesh.
- How enabling technologies such as Denodo can be leveraged in your data modernization strategy.

Logical Data Fabric vs Data Mesh. Does it Matter?

Tactical Roundtable - Modern Cloud Data Architecture: Technologies and Practices for Managing and Analyzing Data on the Cloud

Data architecture is more relevant than ever today because so many user organizations are migrating data to the cloud, modernizing analytics and data warehouses, deploying data lakes and lakehouses, and adopting new practices for data virtualization, sharing, monetization, and marketplaces.

Modern Cloud Data Architectures will feature a panel of experts from Snowflake, Denodo, and their mutual customer Syngenta to explore key considerations for modernizing your company’s data architecture.  The 60-minute virtual event is moderated by an independent industry analyst, with a topic introduction hosted by Solutions Review

Roundtable with Snowflake, Denodo & Syngenta: Modern Cloud Data Architecture

IDC data shows that between 2021 and 2022 there has been a 10% increase in European organizations that are in the more mature stages of their sustainability initiatives; while for 19% of European organizations, over 10% of their IT budget is driven by sustainability-related actions. 

Data lies at the heart of an ESG framework, yet it remains a major hurdle. For most organizations data is stored in numerous different silos, from mainframes, to mid-range servers, different data warehouses, and of course the cloud. Enterprises have difficulty bringing all of this data together in a coherent way – and if they cannot, risk their ESG (environmental, social and governance) initiatives failing. They need to be able to monitor, manage and enhance their sustainability plans, and that requires consistent, joined-up data.

This webinar will explore the reasons for the growing importance of sustainability to organizations – led by customers, shareholders, the supply-chain as well as regulators. It will explain the challenges around the management of data in a sustainability context, and go on to advise how data virtualization can be a valuable resource in tackling the issue. It will conclude by summarizing some of the key benefits that data virtualization brings to an enterprise’s sustainability goals.

A Road Map to ESG Powered by Data Virtualization

Data Mesh presents a new distributed and decentralized paradigm for data management, where autonomous domains expose their own data as "data products" to the rest of the organization. It tries to reduce bottlenecks derived from an excessive dependance on centralized IT teams, and capitalizes on the specialized data knowledge that domain users already have. However, Data Mesh literature leaves the implementation of these ideas very open to each organization. 
Attend and Learn: 
- Deep dive into the key ideas of Data Mesh
- Understand how Denodo can help you implement a Data Mesh
- Hear directly from a Denodo client, Landsbankinn, their journey from a traditional analytic architecture to Data Mesh using Denodo

Enabling a Data Mesh Architecture and Data Sharing Culture with Denodo (APAC)

Data Virtualization is adopted as a critical information management capability by leading firms such as AAA and Biogen Idec to address the most pressing data and process integration challenges facing organizations today. Industry experts and analysts affirm its strategic role in enterprise architecture for increasing agility and flexibility in the delivery of information.  

Discover how data virtualization enables organizations to access, manage, and integrate data from a wide variety of data sources (Cloud, Web, Social, Big Data, the “Internet of Things”, etc.). Seamless integration incorporates data ranging from structured to unstructured and everything in between, opening up new opportunities for firms to leverage their most valuable asset, their data, whenever and wherever it’s needed – quickly, efficiently, and cost effectively.


Things you will learn: 

•  What Data Virtualization is and key data integration challenges   solved.
•  How it both complements and leverages existing enterprise architectures.     
•  The Denodo Data Virtualization platform, its capabilities and an overview of common usage patterns, eg Agile  BI, etc

Data Virtualization for Information Agility:  An Overview

data virtualization

agile bi

big data

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Data Virtualization for Information Agility: An Overview

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