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Denodo’s Data Catalog: Accelerate AI/ML Modeling with Faster Access to Datasets

Data Scientists spend most of their time looking for the right data and massaging it into a usable format. How can the Denodo platform enable the data scientist and data engineer?

Join us as we explore and demonstrate how the Denodo 8.0 Data Catalog can help the data scientist and data engineers to find the relevant datasets quickly by using any metadata information and also using the respective categories and tags. Explore how the data catalog provides more information on the dataset allowing to define the descriptions for the views and fields, showing the associations with other datasets and also the lineage of the datasets. Discover how the Denodo data catalog enables Data Scientists to obtain the data using JDBC/ODBC methods from popular languages like Python/R with their tools of choice such as Zeppelin or Jupyter.

Attend this webinar to learn:

● How to explore datasets available using Denodo Data Catalog
●How to categorize datasets in Denodo Data Catalog
●How to find the relationships between datasets, and the lineage in a business friendly way
● How to connect to Denodo using popular notebooks
● How customers have used Data Virtualization in their Data Science initiatives
Recorded Feb 25 2021 31 mins
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Presented by
Senthil Ramesh J V, Sales Engineer at Denodo
Presentation preview: Denodo’s Data Catalog: Accelerate AI/ML Modeling with Faster Access to Datasets

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  • Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC) May 20 2021 3:00 am UTC 60 mins
    Sushant Kumar, Product Marketing Manager, Denodo and Katrina Briedis, Sales Engineering, Denodo
    It's not if you move to the cloud, but when. Most organisations are well underway with migrating applications and data to the cloud. In fact, most organisations - whether they realise it or not - have a multi-cloud strategy. Single, hybrid, or multi-cloud…the potential benefits are huge - flexibility, agility, cost savings, scaling on-demand, etc. However, the challenges can be just as large and daunting. A poorly managed migration to the cloud can leave users frustrated at their inability to get to the data that they need and IT scrambling to cobble together a solution.

    In this session, we will look at the challenges facing data management teams as they migrate to cloud and multi-cloud architectures. We will show how the Denodo Platform can:

    - Reduce the risk and minimise the disruption of migrating to the cloud.
    - Make it easier and quicker for users to find the data that they need - wherever it is located.
    - Provide a uniform security layer that spans hybrid and multi-cloud environments.
  • Enabling Modern Data Integration & Data Management through Data Virtualization May 5 2021 2:00 am UTC 90 mins
    Emil Capino, President & Founder - Info Alchemy and Alex Hoehl, Senior Director - Denodo
    In this era of data explosion, with the added complexity of multiple formats and mix of hybrid, legacy data sources, traditional data integration and data management solutions fall short and often, add more complexity to the situation.

    Join this session to hear from industry experts about data virtualization – the modern approach to data integration and data management that transcends the limitations of traditional data integration techniques such as ETL by delivering a simplified, unified, and integrated view of business data, all in near real-time without making additional copies of data.

    Join us & learn.
    • How to deliver a clear strategy for agile data delivery across the enterprise without pains of traditional data integration
    • How to implement real time operational analytics based on a true modern architecture that does not require data redundancy and rigidity of traditional DW architecture
    • How to simplify access to your data lakes or Hadoop implementations to drive insights at a faster rate and efficiency
    • How to provide a robust yet simple architecture for data governance, master data, data trust, data privacy and data access security implementation – all from single unified framework
  • Introduzione alla Virtualizzazione dei Dati Apr 30 2021 10:00 am UTC 76 mins
    Andrea Zinno - Data Evangelist, Paolo Crivelli - Technical Sales Director Italy | Denodo
    In un’era sempre più dominata dal cloud computing, dall’AI e dall’analisi avanzata, può sembrare per lo meno anacronistico che molte organizzazioni facciano ancora affidamento ad architetture di dati costruite prima della fine del secolo.

    Fortunatamente questo scenario sta subendo un cambiamento repentino con l’adozione di nuove tecnologie di integrazione dati, come la virtualizzazione dei dati, che forniscono un livello logico, in tempo reale e sicuro di accesso ai dati aziendali. Le diverse sorgenti dati non devono più essere trasferite fisicamente in un nuovo repositorio e trasformate, prima di essere utilizzate dall’azienda. E’ per questo che la virtualizzazione dei dati soddisfa le esigenze di trasformazione dell’architettura e permette la costruzione di un Data Fabric aziendale.

    In questa sessione parleremo di:
    1. Cos'è la virtualizzazione dei dati;
    2. Come differisce da altre forme di integrazione a livello Enterprise; 
    3. Casi d’uso della Virtualizzazione dei dati: Business Intelligence, Data Science, democratizzazione dei dati, Master Data Management, Dati distribuiti
    4. Perché la virtualizzazione dei dati si sta espandendo dentro le organizzazioni in Italia;
  • De Zero a 100: Introdução à Virtualização de Dados Apr 28 2021 2:00 pm UTC 58 mins
    Evandro Pacolla, Marco Wenna
    Numa era cada vez mais dominada por avanços de Computação em Nuvem, Inteligência Artificial e Análises Avançadas, pode ser uma surpresa que muitas organizações ainda dependem de arquitetura de dados elaboradas antes da virada do século. Mas este cenário está rapidamente mudando com a crescente adoção de dados em tempo real através da virtualização de dados, provendo uma camada de dados lógica e segura. Não há mais necessidade de mover fisicamente diversas fontes de dados para um Data warehouse para transformá-los antes de poderem ser usados para fins do negócio.

    Nesta sessão você vai aprender:
    - O que é Virtualização de Dados
    - Como a Virtualização de Dados se diferencia de outras tecnologias de integração de dados
    - Porque Virtualização de Dados já está implementada dentro de grandes organizações
  • Come abilitare la Self Service Analytics con il Logical DWH Apr 23 2021 10:00 am UTC 73 mins
    Andrea Zinno - Data Evangelist - Denodo, Paolo Crivelli - Technical Sales Director Italy - Denodo
    ------------
    WEBINAR IN ITALIANO - DENODO ITALIA
    ------------

    In tutte le aziende c’è una sempre più forte necessità di ottenere informazioni e indicazioni da dati che continuano a crescere in numero e varietà delle fonti, e in cui la componente non strutturata sarà presto prevalente.

    La maggior parte delle soluzioni più classiche, come i tradizionali Data Warehouse (DW) e i Data Lake hanno una governance più complessa e non garantiscono un accesso agile ai dati. I sistemi di BI devono supportare nuove forme di reporting e di analisi, come l’analitica self-service, le analisi investigative, la data science, gli utenti esterni come clienti online, partner e fornitori, le nuove tecnologie di memorizzazione come Hadoop e NoSQL, le fonti di dati esterne, come i dati sui social media e gli open data, e infine le grandi quantità di dati. Inoltre, è necessario accelerare il time to market per i report.

    La soluzione a questo nuovo scenario, secondo gli analisti, è il data warehouse logico (LDW), che ha dimostrato avere una base più agile per la delivery e la trasformazione dei dati, semplificando il collegamento rapido di nuove sorgenti dati.

    Partecipa a questo webinar per approfondire:
    • Come rendere disponibili in modo agile e veloce nuove fonti di dati per gli analisti e i data scientist
    • Come la tua organizzazione può migrare in modo graduale e con successo verso un'architettura LDW flessibile, senza stravolgere l'attuale sistema di BI
    • In che modo il Logical Data Warehouse aiuta ad integrare l'analisi self-service con le altre forme più classiche di business intelligence
  • Denodo: 3 Key Data Fabric Operational Features Apr 22 2021 3:00 pm UTC 30 mins
    Dave Chiou, Sales Engineer, Denodo
    In Gartner's 2020 research paper: Demystifying the Data Fabric, Gartner discusses that the core of the data fabric is able to consolidate many diverse data sources in an efficient manner by allowing trusted data to be delivered from all relevant data sources to all relevant data consumers through one common layer.

    Easily maintaining a data fabric that changes and evolves is critical to a successful implementation. Like self-driving cars, modern data fabric designs enable dynamic machine learning to look at query patterns and make recommendations to keep running well. A data fabric needs to easily detect and manage changes in source systems along with handling any future migrations without impacting your data consumers and applications.


    Attend this webinar to learn:
    How to connect, model and delivery data in the data fabric
    How to support different integration styles that best supports the data fabric
    How to feed query usage history to the recommendation engine
    How to create, load and selectively materialize data for accelerating query performance.
    How to detect and handle source metadata/schema changes.
    How to migrate data sources in the data fabric without impacting users and applications.
  • Physical or Logical Data Fabric: Which One to Use and When? Recorded: Apr 15 2021 46 mins
    Ravi Shankar, SVP & CMO, Denodo
    What is a data fabric? Gartner defines it as “one architecture that can address the extreme levels of diversity, distribution, scale and complexity in organizations’ data assets that are adding tremendous complexity to the overall data integration and data management design.”
    But do you know that data fabric can be logical or physical? What’s the difference? Which one to use and when?
    Attend this webinar and find out:
    · What is a data fabric?
    · How is a physical data fabric different from a logical data fabric?
    · Which one should you use and when?
    · What’s the underlying technology that makes up the data fabric?
    · Which companies are successfully using it and for what use case?
    · How can I get started and what are the best practices to avoid pitfalls?
  • Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC) Recorded: Apr 15 2021 64 mins
    Sushant Kumar, Product Marketing Manager, Denodo and Chris Day, Director, APAC Sales Engineering, Denodo
    Historically, data lakes have been created as a centralized physical data storage platform for data scientists to analyze data. But lately, the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. In this webinar, we will discuss why decentralized multi-purpose data lakes are the future of data analysis for a broad range of business users.

    Please attend this webinar to learn:
    - The restrictions of physical single-purpose data lakes
    - How to build a logical multi-purpose data lake for business users
    - The newer use cases that make multi-purpose data lakes a necessity
  • ABSA Case Study: Data Virtualisation – The Game Changer Recorded: Apr 8 2021 38 mins
    Heinrich Momberg, Head of Data Engineering, ABSA Group and Kevin McKerr, Sales Leader for BITanium Consulting
    Join Heinrich Momberg, Head of Data Engineering for ABSA as he explores the ways Data Virtualisation is changing the game and accelerating ABSA’s data driven objectives. Facilitated by Kevin McKerr, Sales Leader for BITanium Consulting, this interactive whiteboard session is a must for anyone interested in learning how Data Virtualisation can solve multiple use-cases and make real impact in driving the agility and flexibility required of a modern data environment.

    ABSA is a South African-based financial services group, offering personal and business banking, credit cards, corporate and investment banking, wealth and investment management, as well as bancassurance. BITanium Consulting is a South African based solution provider building and supporting modern data environments.

    Attend this live session to learn:
    - Business and technical challenges at ABSA
    - How ABSA adopted a data strategy to modernize the data ecosystem
    - Architectural setup with data virtualization
    - How data virtualization can be used to support multiple use-cases
  • Denodo Design Studio: Modeling and Creation of Data Services Recorded: Mar 25 2021 28 mins
    Esha Deshpande, Sales Engineer at Denodo
    Change is the only constant and it is very important for enterprises to keep up with the changing times in an agile fashion. To ensure faster time to market, quick business insights and rapid data driven decision making, it is important that the Data Delivery channel is optimized in the best way possible.

    With the advent of API Management technologies the demand for data being delivered in the form of a Data Service/APIs is increasing. The ability to make data available in an API format at the click of a button is the need of the hour. Join us to see how easy it is to make enterprise wide data available as Data Services/APIs no matter what format the data is stored in with no prior coding experience. Faster development, zero learning curve and huge value.

    Attend this webinar to learn:

    ● How to explore datasets available using Denodo Data Catalog
    ●How to build new data sets using Denodo Design Studio, drag and drop interface
    ●How to make datasets available in RESTful, OData 4, GeoJSON, GraphQL.
    ●How to enable different authentication protocols including OAuth 2.0
    ● Automatic documentation (Open API) and availability in the Denodo Data Catalog
  • Data Virtualization per la Multicloud Data Integration senza barriere né confini Recorded: Mar 25 2021 65 mins
    Andrea Zinno - Data Evangelist, Denodo | Ersilia Silvestri - Database Specialist, Miriade
    In questo contesto la virtualizzazione dei dati riveste un ruolo strategico nelle architetture multicloud, garantendo agli utenti aziendali un accesso controllato a tutti i dati, indipendentemente dalla loro localizzazione, in modo semplice e veloce. Al contempo aggiunge la semantica e la governance, necessaria nei moderni ambienti di dati e garantendo il controllo locale ai "proprietari dei dati"e il rispetto delle normative locali sulla privacy e la protezione dei dati.

    Unisciti a noi per capire come la tua azienda può affrontare e superare le sfide insite nell’adozione di un modello Cloud/Multi-Cloud e conoscere le Best Practice per una corretta gestione dei dati e dei costi in un tale modello.

    In questa sessione approfondiremo:
    1. Le sfide che le organizzazioni devono affrontare quando adottano strategie di dati multi-cloud
    2. Come la Piattaforma di virtualizzazione dei dati di Denodo fornisce un livello di accesso ai dati controllato per tutta l'organizzazione
    3. Le diverse architetture multi-location che possono massimizzare il controllo locale sui dati, rendendoli comunque facilmente disponibili
    4. Come le organizzazioni hanno beneficiato dell'utilizzo della piattaforma Denodo nelle architetture multi-cloud
  • Secure your data with Virtual Data Fabric Recorded: Mar 24 2021 69 mins
    Alexey Sidorov - Chief Evangelist Middle East, Stefano Cruciani - Marketing Manager Middle East
    Security, data privacy, and data protection represent concerns for organizations that must comply with policies and regulations that can vary across regions, data assets, and personas.
    Data virtualization offers a single logical point of access, avoiding point-to-point connections from consuming applications to the information sources. As a single point of data access for applications, it is the ideal place to enforce access security restrictions that can be defined in terms of the canonical model with a very fine granularity.

    Denodo has been successfully deployed in many organizations worldwide with strict security requirements. Those organizations benefit from Denodo's capabilities to customize security policies in the data abstraction layer, centralize security when data is spread across multiple systems residing both on-premises and in the cloud, or control and audit data access across different regions.

    Join us for this webinar to know how to:
    - Build enterprise-wide data access role model
    - Apply Dynamic Masking on your data on fly
    - Use sophisticated masking algorithms to manage your non-production data sets
  • Secure your data with Virtual Data Fabric Recorded: Mar 22 2021 60 mins
    Alexey Sidorov - Chief Evangelist Middle East
    Security, data privacy, and data protection represent concerns for organizations that must comply with policies and regulations that can vary across regions, data assets, and personas.
    Data virtualization offers a single logical point of access, avoiding point-to-point connections from consuming applications to the information sources. As a single point of data access for applications, it is the ideal place to enforce access security restrictions that can be defined in terms of the canonical model with a very fine granularity.

    Denodo has been successfully deployed in many organizations worldwide with strict security requirements. Those organizations benefit from Denodo's capabilities to customize security policies in the data abstraction layer, centralize security when data is spread across multiple systems residing both on-premises and in the cloud, or control and audit data access across different regions.

    Join us for this webinar to know how to:
    - Build enterprise-wide data access role model
    - Apply Dynamic Masking on your data on fly
    - Use sophisticated masking algorithms to manage your non-production data sets
  • Data Services and the Modern Data Ecosystem Recorded: Mar 18 2021 40 mins
    Paul Fearon, Senior Solutions Consultant, Denodo
    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 Packed Lunch Webinar session, “Data Services and the Modern Data Ecosystem,” presented by Senior Solutions Consultant, Paul Fearon. 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.

    Attend 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)
  • Logical Data Fabric: Maturing Implementation from Small to Big (APAC) Recorded: Mar 18 2021 62 mins
    Deb Mukherji, Practice Head, Data Analytics & AI, Tech Mahindra & Chris Day, Director, APAC Sales Engineering, Denodo
    Implementing a logical data fabric is not a one-shot deal. It is a journey. How do you start small, demonstrate ROI, and then expand to additional use cases? This presentation provides practical tips on how to start and later expand a logical data fabric implementation. In this webinar, you’ll learn:

    - The enterprise data management challenges
    - Advantages of a logical data fabric over a physical data warehouse
    - How to architect a logical data fabric using data virtualization
  • Myth Busters IV: I Access My Data Through APIs–Data Virtualization Can't Do This Recorded: Mar 17 2021 42 mins
    Paul Moxon, SVP Data Architectures & Chief Evangelist, Denodo
    When you hear data virtualization, do you think BI and analytics? If so, you’re misinformed and missing out on a whole set of possibilities and capabilities of this technology. It is probably also why you think data virtualization is of no use to you if you need to access your data through APIs.

    This is why we’re back with another episode of Myth Busters!

    We’re going to enter the world, or ecosystem, of APIs and API-based architectures to investigate whether data virtualization plays a role in it. Maybe we’ll even learn that it possibly can enhance API capabilities and increase the benefits?

    Here’s what we’ll be exploring:

    - Is there a place for data virtualization in an API strategy?
    - Can data virtualization enhance the deployment and exposure of APIs?
    - Can data virtualization work as a service container or as an API gateway?
    - Data virtualization and GraphQL...are they really like oil and water?

    Don’t miss this Myth Busters episode as we shine the spotlight on data virtualization and APIs.

    Join us live as we try to bust this myth.
  • Продвинутый анализ и машинное обучение с помощью виртуализации данных Recorded: Mar 16 2021 74 mins
    Алексей Сидоров, Главный Евангелист и Директор по управлению данными, Denodo
    Передовые методы сбора и обработки информации, такие как машинное обучение, оказались чрезвычайно полезным инструментом для получения ценных знаний на основе имеющихся данных. Такие платформы, как Spark, и математические библиотеки для R, Python и Scala позволяют ученым, работающим с данными, использовать передовые технологии. Однако эти ученые тратили большую часть своего времени на поиск нужных данных и их преобразование в удобный для использования формат. Виртуализация данных предлагает новую парадигму для более эффективного и гибкого решения этих проблем.

    Посетите этот вебинар и узнайте:

    - Как виртуализация данных может ускорить сбор и преобразование информации, предоставляя ученым, работающим с данными, мощный инструмент, упрощающий их работу.
    - Как популярные инструменты из экосистемы науки о данных: Spark, Python, Zeppelin и т.д. интегрируются с Denodo.
    - Как можно эффективно использовать платформу Denodo с большими объемами данных.
  • ROI e Valor Econômico da Virtualização de Dados Recorded: Mar 10 2021 51 mins
    Marco Wenna
    O Gartner prevê que as organizações que utilizam a Virtualização de Dados gastarão 40% menos na integração de dados do que aquelas que utilizam tecnologias tradicionais. Os clientes Denodo têm experimentado melhorias de até 90% em seus processos de fornecimento de dados e economia de custos de 50% ou mais. Junte-se a nós neste webinar para descobrir como a Virtualização de Dados pode ajudar a acelerar seu tempo de entrega de dados, reduzindo os custos ao mesmo tempo.

    - Registre-se para assistir e aprender como a Virtualização de Dados pode:
    - Acelerar a entrega de dados aos usuários
    - Impulsionar iniciativas de transformação digital
    - Reduzir os custos e prazos dos projetos
    - Entregar rapidamente valor à sua organização
  • Виртуализация Данных: Введение Recorded: Mar 9 2021 58 mins
    Алексей Сидоров, Главный Евангелист и Директор по управлению данными, Denodo
    В нашу эпоху головокружительных достижений в области искусственного интеллекта, облачных вычислений и передовой аналитики, как ни странно, многие организации по-прежнему полагаются на архитектуры данных, построенные в прошлом веке.
    Однако, ситуация быстро меняется с ростом применения виртуализации данных в реальном времени для обеспечения безопасного, логического доступа к информации. Данный подход позволяет отказаться от физической трансформации и перемещения данных в хранилище, прежде чем они могут быть использованы бизнесом.

    Посетите этот новый вебинар на русском языке, чтобы узнать:
    - Что такое виртуализация данных?
    - Чем данный подход отличается от других корпоративных технологий интеграции данных, таких как ETL
    - Почему крупнейшие организации используют виртуализацию в масштабах всего предприятия

    Узнайте больше о проблемах интеграции данных, решаемых с помощью виртуализации и вариантах применения этой динамично развивающейся технологии.
  • Data Virtualization: From Zero to Hero Recorded: Mar 4 2021 69 mins
    Alexey Sidorov - Chief Evangelist Middle East, Stefano Cruciani - Marketing Manager Middle East
    At the rate which enterprise data volume is increasing, replicating data to a central repository for analysis purposes is slow and expensive which might not even be a necessary part of the data integration process in many situations. With technologies such as data virtualization, companies can now place a single secure virtual layer between all disparate data sources (including both on-premise and in the cloud) on one side and various consuming applications on the other. Data replication for data integration is now an option and not a necessity.

    Join us for this webinar to become a "Data Virtualization Hero" inside your organization.

    In this session you will 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
Achieving Business Agility with Data Virtualization
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.

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  • Title: Denodo’s Data Catalog: Accelerate AI/ML Modeling with Faster Access to Datasets
  • Live at: Feb 25 2021 4:00 pm
  • Presented by: Senthil Ramesh J V, Sales Engineer at Denodo
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