Name: Self-Service Analytics mit dem Logical Data Warehouse
Start: 2022-09-23T06:14:00Z
End: 2022-09-23T06:14:30.000Z
Location: BrightTALK
Rating: 0

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.

In this hybrid workshop, located in Sydney and online, Denodo's APAC Chief Architect and Evangelist, Shanmuga Sunthar Mundiandy, will take attendees through the key use cases Denodo's Data Virtualization Platform is used for, in addition to inputting the technical and operational variables of an organisation on what an expected ROI will be. 

The ROI template Shan will be using, is based on the Forrester Total Economic Impact for Data Virtualization released in October 2021 that assessed organisations derived a 408% ROI,  6 month payback and reduced time to revenue generation by 83%. 

From this workshop, attendees will better understand the broad set of use cases Denodo is used for and how to use the ROI calculator to build a compelling business case. 

This event is perfect for: 
- Project Managers
- Architects
- D&A Heads
- Business Sponsors 

Interested in qualifying and quantifying the business value Denodo's Data Virtualization platform can bring to their programs.

Data Virtualization Use Case & Forrester ROI Template Workshop

Accelerating cloud adoption and modernizing analytics in the cloud has become a necessity to facilitate timely, insightful, and impactful decision making. However, with the widespread data in an organization across disparate hybrid cloud data sources poses a challenge with real time and well governed analytics. Data Virtualization is a modern data integration technique in which a single semantic layer can be built to help drive data democratization and speed up the analytics in an efficient and cost-effective manner.

Join this session to learn:

- How various AWS services (Amazon Redshift, Amazon S3, Amazon RDS) can be quickly integrated using Denodo Platform’s logical data management by implementing a logical data fabric (LDF)
- How LDF helps you manage and deliver your data for data science and analytics programs, supporting your business users. 
- How governed Data Services layer enables self-service analytics in your complex AWS data landscape

Data Driven Advanced Analytics using Denodo Platform on AWS

It’s almost impossible to find any organization that does not have data and analytics as one of their top priorities to further their business objectives. At the same time the data and analytics landscape is evolving faster than ever, making the data management ecosystem more complex than ever before. As data gets increasingly distributed across systems and locations, every forward looking organization should adopt a logical architecture to be future ready.

Attend this webinar and learn:
- Key priorities of data and analytics leaders for business transformation.
- Why a monolithic and physical data architecture is not suitable for such transformation.
- How a logical data architecture can help organizations in their business transformation.

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

Semantics has been a topic often associated with academia with little impact in the analytics world. However, that tendency is starting to change, fuelled by self-service and data democratization initiatives that broaden the scope of who’s accessing data and what those users expect.

During this webinar we will take a deep dive into the exciting uses of semantics in data management. We will discuss why semantics is important for your data strategy, and how it can radically change your approach to managing things like self-service, security, and governance.

Join this session to learn:
- The importance of data sharing in self-service and data democratization initiatives.
- The challenges to manage and guarantee secure, protected data sharing.
- The role of semantics in this context.
- New semantic features in Denodo, like the new tag-based security policies.

How semantics simplify data sharing at enterprise level!

Los Data Lakes siempre han dado mucho que hablar. Muchos expertos del dato los aplauden, pero muchos otros los ven problemáticos. Aunque pueden ser increíblemente útiles para una organización, también pueden ser fuente de grandes dolores de cabeza. 

Su facilidad para escalar el almacenamiento con un coste mínimo ha abierto la puerta a muchas soluciones nuevas, pero también ha favorecido los llamados “Data Swamps”: datos no estructurados, sin gobierno y sin control.

Con la incorporación de un motor MPP, basado en Presto, a la capa lógica gestionada por Denodo, queremos reconsiderar el papel del Data Lake en tu estrategia global de datos.

Asiste a este webinar para aprender:
- Las nuevas capacidades de MPP que incluye Denodo.
- Cómo utilizarlas para mejorar la seguridad y la gobernanza de tu Data Lake
- Nuevos escenarios y soluciones en los que puede evolucionar tu estrategia de Data Fabric

Modernizando el Rol de un Data Lake en una Arquitectura Data Fabric

Modernizando el rol de un Data Lake en una arquitectura Data Fabric

Data management summit

Conheça o poder dos seus dados!

A BlueShift em parceria com a Denodo trazem para este debate as tendências e tecnologias que estão moldando o futuro dos dados.
Nesta sessão você vai conhecer as abordagens inovadoras que as principais empresas do mundo estão adotando para resolver os principais desafios no gerenciamento de dados.
Data Mesh, Virtualização, ChatGPT são alguns dos temas abordados para entendermos como explorar a estratégia de dados, impulsionando os resultados de negócios e acelerando o mercado em tempos de mudança. 

Apresentadores:
- Alan Camillo - CTO da BlueShift 
- Elias Theodoro – Solutions Architect BlueShift
- Guilherme Duarte – Lider técnico Latam da Denodo 
- Marco Cavallo -  Head Alliances & Channels Sales da Denodo 

4 de Maio, 2023 às 10h

Junte-se a nós e garanta seu lugar! Participe!

Data Management Summit

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, Shanmuga Sunthar Muniandy, Director of Data Architecture and Chief Evangelist Asia Pacific 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 Lakes were identified as the best option for consolidating data in one location and supporting organisational reporting and analytics needs.  However, physical data lake solutions are often constrained by factors such as duplication of data, governance limitations, and the risk of becoming another data silo. Data virtualization allows you to leave all of the source data in place, stored across myriad, heterogeneous systems, and establish a virtual, “logical data lake” for accessing all of your enterprise data.

During this webinar we will discuss how a logical approach to data integration and management can deliver a holistic view of enterprise data, help to overcome these challenges and strengthen your overall data strategy.

Join this session to learn:
- How to evolve your data lake to provide a “complete picture” that is needed for informed decisions.
- How a logical approach can remove complexity and improve security and governance of your lake.
- How to reduce cost and derive more value from your data lake.

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

Data Scientists lieben Daten! Und auf diese möchten sie schnell, flexibel und unkompliziert zugreifen. Jedoch ermöglichen die meisten klassischen Data Warehouses (DW) und Data Lakes keinen einfachen und agilen Datenzugriff. Eine weitaus praktikablere Lösung ist das Logical Data Warehouse (LDW), welches sich als eine agilere Basis für die Bereitstellung und Transformation von Daten etabliert und das schnelle Einbinden neuer Datenquellen erheblich vereinfacht.

Key Takeaways dieses Webinars:

* Wie werden neue Datenquellen für Analytics schnell und flexibel verfügbar gemacht?
* Wie können Unternehmen Schritt für Schritt auf eine flexible LDW-Architektur migrieren?
* Wie unterstützt Sie ein LDW dabei, Self-Service Analytics im klassischen BI Umfeld zu integrieren?

Self-Service Analytics mit dem Logical Data Warehouse

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Self-Service Analytics mit dem Logical Data Warehouse

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