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Powering Self Service Business Intelligence with Hadoop and Data Virtualization

Vizient needed a unified view of their accounting and financial data marts to enable business users to discover the information they need in a self-service manner and to be able to provide excellent service to their members. Vizient selected Hortonworks Big Data Platform and Denodo Data Virtualization Platform so that they can unify their distributed data sets in a data lake, and at the same time provide an abstraction for end users for easy self-serviceable information access.

During this webinar, you will learn:

1) The role, use, and benefits of Hortonworks Data Platform in the Modern Data Architecture.
2) How Hadoop and data virtualisation simplify data management and self-service data discovery.
3)What data virtualisation is and how it can simplify big data projects. Best practices of using Hadoop with data virtualisation

About Vizient
Vizient, Inc. is the largest nationwide network of community-owned health care systems and their physicians in the US. Vizient™ combines the strengths of VHA, University HealthSystem Consortium (UHC), Novation and MedAssets SCM and Sg2, trusted leaders focused on solving health care's most pressing challenges. Vizient delivers brilliant resources and powerful data driven insights to healthcare organizations.
Recorded Jan 17 2017 64 mins
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Presented by
Mark Pritchard, Denodo and Sean Roberts, Hortonworks
Presentation preview: Powering Self Service Business Intelligence with Hadoop and Data Virtualization

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  • Channel
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  • What is the future of data strategy? (APAC) Jun 25 2020 1:30 am UTC 75 mins
    Pablo Álvarez, Director Product Management, Denodo
    You will often hear that "data is the new gold". In this context, data management is one of the areas that has received more attention by the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.

    Join us for an exciting session that will cover:
    - The most interesting trends in data management.
    - Our predictions on how those trends will change the data management world.
    - How these trends are shaping the future of data virtualization and our own software.
  • Accelerate your Queries with Data Virtualization Jun 18 2020 6:00 pm UTC 60 mins
    Pablo Alvarez, Director of Product Management, Denodo
    Denodo 8 builds on its outstanding performance features to include query acceleration capabilities. Denodo’s new engine is able to accelerate execution through an automatic query-rewriting process that identifies pre-calculated summaries that can be used to reduce execution time. As a result, end users and reporting tools don’t have to change their queries, while the execution times can be 100x faster in analytical scenarios.

    Attend this session to learn:

    How this new functionality works
    Use cases and scenarios that can take advantage of it
    See it action with a product demo
  • Myth Busters II: BI Tools and Data Virtualization are Interchangeable Jun 17 2020 12:00 pm UTC 45 mins
    Paul Moxon, SVP Data Architectures & Chief Evangelist, Denodo
    We’re taking on the 2nd myth about data virtualization and it’s one that suggests a BI tool can substitute a data virtualization software.

    You might be thinking: If I can have multi-source queries and define a logical model in my
    reporting tool, why would I need a data virtualization software?

    Reporting tools, no doubt important and necessary, focus on the visualization of data and it’s presentation to the business user. Data virtualization is a governed data access layer designed to connect to and provide transparency of all enterprise data.

    Yet the myth suggests that these technologies are interchangeable. So we’re going to take it on!

    Join us for this webinar as we explore this topic further, comparing and contrasting BI tools and data virtualization to draw a final conclusion.
  • De Zero a 100: Introdução à Virtualização de Dados Jun 16 2020 2:00 pm UTC 75 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
  • Advanced Analytics and Machine Learning with Data Virtualization Jun 3 2020 7:00 am UTC 75 mins
    Alexey Sidorov - Chief Evangelist Middle East
    Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
    Attend this webinar and learn:

    • How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
    • How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
    • How you can use the Denodo Platform with large data volumes in an efficient way
    • About the success of one of our clients has had as a result of seasoning the Machine Learning and Blockchain Landscape with data virtualization
  • Ada Apa dengan Virtualisasi Data? Mengenal Lebih dekat. (Bahasa Indonesia) Jun 2 2020 3:00 am UTC 60 mins
    Jimmy Rekso, Head of Data and Technology Dept - Berca and Alex Hoehl, Senior Director – Denodo
    Virtualisasi Data atau Data Virtualization berevolusi menjadi data fabric enterprise yang real-time dan agile. Virtualisasi Data terbukti berkembang melebihi apa yang dijanjikan dan menjadi salah satu enterprise big data fabric yang paling penting saat ini.

    Dalam sesi yang anda ikuti, anda akan belajar mengenai:
    *Apa sebenarnya Virtualisasi Data?
    *Bagaimana membedakannya dengan teknologi data integrasi yang lain?
    *Mengapa Virtualisasi Data mampu Mendapatkan penanaman skala besar di dalam beberapa organisasi terbesar?
  • Data Virtualization-Fulfilling the Digital Transformation Requirement in Banking Recorded: May 28 2020 58 mins
    Paul Moxon, SVP Data Architectures & Chief Evangelist, Denodo
    The financial industry is undergoing a massive digital transformation, and banking institutions are on the road to becoming digital financial technology organizations. This is driven by many factors, some of which include, the need to improve customers experience (CX) through tailored products and services, staying competitive in an ever more competitive market with new challengers, adapting to new delivery channels, and advances in technology.

    Data is at the center of this digital transformation, but caution needs to be taken to ensure customers’ data rights, privacy and security are top priorities, especially with initiatives like Open Banking and shifts to Cloud environments. So how do banks move forward, living up to market expectations and staying competitive while protecting their customers and complying with regulations?

    Banking institutions need to update their legacy systems and implement strategies and services that will transform them into digital financial organizations. They need agile access to information that can be leveraged to make timely business decisions, yet still fulfill the regulatory requirements.

    Banks in the digital transformation era, need a single view of all their data and a way to establish security controls across the entire infrastructure.

    In this webinar, we will discuss how data virtualization can update and modernize data architectures in the digital transformation era. We will present success stories of banking companies who already use data virtualization to differentiate themselves from the competition, optimize processes, and create new business opportunities through more agile data management.
  • Come abilitare la Self Service Analytics con il Logical DWH Recorded: May 28 2020 74 mins
    Andrea Zinno - Data Evangelist - Denodo, Paolo Crivelli - Technical Sales Director Italy - Denodo

    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
  • Виртуализация Данных: Введение Recorded: May 26 2020 59 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.
  • Cloud Modernization and Data as a Service Option Recorded: May 21 2020 60 mins
    Mitesh Shah, Senior Cloud Product Manager, Denodo
    The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms. Cloud has become a key component of modern architecture design. Data lakes, IoT, NoSQL, SaaS, etc. coexist with relational databases to fuel the needs of modern analytics, ML and AI. Exploring and understanding the data available within your organization is a time-consuming task. Dealing with bureaucracy, different languages and protocols, and the definition of ingestion pipelines to load that data into your data lake can be complex. And all of this without even knowing if that data will be useful at all.

    Attend this session to learn:

    How dynamic data challenges and the speed of change requires a new approach to data architecture – one that is real-time, agile and doesn’t rely on physical data movement
    Learn how logical data architecture can enable organizations to transition data faster to the cloud with zero downtime and ultimately deliver faster time to insight.
    Explore how data as a service and other API management capabilities is a must in a hybrid cloud environment
  • How data virtualization adds value to your data science stack (APAC) Recorded: May 21 2020 60 mins
    Sushant Kumar, Product Marketing Manager, Denodo and Chris Day, Principal Sales Engineer, Denodo
    Title: How data virtualization adds value to your data science stack (APAC)


    For their machine learning and data science projects to be successful, data scientists need access to all of the enterprise data delivered through their myriad of data models. However, gaining access to all data, integrated into a central repository has been a challenge. Often 80% of the project time is spent on these tasks. But, a virtual layer can help the data scientist speed up some of the most tedious tasks, like data exploration and analysis. At the same time, it also integrates well with the data science ecosystem. There is no need to change tools and learn new languages. The data virtualization platform helps data scientists offload these data integration tasks, allowing them to focus on advanced analytics.

    In this session, you will learn how data virtualization:
    • Provides all of the enterprise data, in real-time, and without replication
    • Enables data scientists to create and share multiple logical models using simple drag and drop
    • Provides a catalog of all business definitions, lineage, and relationships
  • Data Strategies for Managing the Cycles in Oil and Gas Recorded: May 19 2020 30 mins
    Quinn Lewis, Consulting Director, Denodo
    Join us for a quick 30 minute webinar, Data Strategies for Managing the Cycles in Oil and Gas, featuring Quinn Lewis, Consulting Director at Denodo and former Technology Manager at Anadarko.

    Recent challenges for oil and gas companies have affected the operational strategies around the globe. One attractive option is to actively seek areas of inefficiency that they can invigorate, but often, data cannot be leveraged because it is poorly integrated. This session will address how data virtualization can be brought to bear to aid the industry, and will help attendees:

    •Understand the impacts of current trends on Upstream data architecture
    •Leverage data assets through the E&P commodity cycles
    •Learn how data virtualization has been used in analytics use cases from surface to subsurface
  • Data Virtualization: An Introduction Recorded: May 19 2020 59 mins
    Paul Moxon, SVP Data Architectures & Chief Evangelist, Denodo
    What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.

    Attend this session to learn:
    -What data virtualization really is
    -How it differs from other enterprise data integration technologies
    -Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
  • Simplifying Cloud Architectures with Data Virtualization Recorded: May 14 2020 57 mins
    Paul Moxon, SVP Data Architecture & Chief Evangelist, Denodo and Mark Pritchard, Director, EMEA Sales Engineering, Denodo
    Moving applications and data to the Cloud is a priority for many organizations. The benefits - in terms of flexibility, agility, and cost savings - are driving Cloud adoption. However, the journey to the Cloud is not as easy as many people think. The process of moving application and data to the Cloud is challenging and can entail widespread disruption across the organization if not carefully managed. Even when systems are migrated to the Cloud, the resultant hybrid or multi-Cloud architecture is more complex for users to navigate, making it harder for them to get the data that they need to do their jobs.

    Data Virtualization can help organizations at all stages of their journey to the Cloud - during migration and also in the resultant hybrid or multi-Cloud architectures. Attend this webinar to learn how Data Virtualization can:
    • Help organizations manage risk and minimize the disruption caused as systems are moved to the Cloud
    • Provide a single point of access for data that is both on-premise and in the Cloud, making it easier for users to find and access the data that they need
    • Provide a security layer to protect and manage your data when it's distributed across hybrid or multi-Cloud architectures
  • Use of Aggregated Healthcare Data to Enhance and Improve Patient Treatment Recorded: May 14 2020 61 mins
    Dr. David Dembo, Senior Healthcare Professional & Chris Day, Director, Denodo. Host & Moderator Peter Grainger, RXP Group
    More than anything else, the COVID-19 crisis has accelerated the focus on the use of enhanced data in our health system. There are a range of enhanced data sets and analytical tools that can be used to emerge stronger on the other side.

    Join this session to learn:
    •How to aggregate health data from multiple data sets, across data sources for fast, powerful insights.
    •How to use data and analytics to monitor supply chain and make data-driven decisions for maximum efficiency.
    •How to use analytics tools to monitor patterns in data access to deliver early-warnings of misuse, fraud and improve cyber defence
  • Accelerate Self-Service Analytics with Virtualization and Visualisation (Thai) Recorded: May 12 2020 61 mins
    K. Tammy from Tableau, Alex Hoehl from Denodo. Hosted by K. Narongrit Manomaipiboon, G-Able
    ติดสปีดการวิเคราะห์ข้อมูลด้วยตัวเองแบบรวดเร็วแม่นยำด้วย Data Virtualization และ Data Visualisation

    องค์กรชั้นนำกำลังขยับตัวไปสู่การวิเคราะห์ข้อมูลทางธุรกิจด้วยตัวเอง เพราะผู้ใช้งานต้องการการเข้าถึงข้อมูลแบบทันทีเพื่อเห็นภาพแบบองค์รวมและหลากหลายมิติโดยไม่ต้องคำนึงถึง ตำแหน่งและ แหล่งที่มา หรือชนิดของข้อมูลสำหรับการตัดสินใจครั้งสำคัญ

    Data Virtualization (การทำให้เห็นข้อมูลแบบเสมือนจริง) และ Data Visualisation (การทำให้เห็นข้อมูลเป็นภาพ)ทำงานด้วยกันผ่านชั้นข้อมูลเชิงความหมายที่เป็นรูปแบบสากล Webinar นี้คุณจะได้รู้วิธีว่าเราจะสามารถค้นพบข้อมูลมาวิเคราะห์ด้วยตัวเองอย่างไรและยกระดับประสิทธิภาพการทำรายงานและแดชบอร์ดของคุณได้อย่างไร

    ใน Webinar นี้ คุณจะได้เรียนรู้เรื่อง
    •Data Virtualization ทำให้คุณสามารถวิเคราะห์ข้อมูลได้ด้วยตัวเองได้อย่างไร
    •สรุป Tableau Highlight Features

    ** กรุณาเลือก Time Zone เป็น >> Indonesia - Jakarta **
  • Accelerate Self-Service Analytics with Data Virtualization and Visualization Recorded: Apr 30 2020 61 mins
    Alex Hoehl, Senior Director - Denodo and Ian Teoh, Consultant - Tableau. Hosted by Sam HK, Quandatics
    Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.

    Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.

    In this session, you will learn:
    - Challenges faced by business users
    - How data virtualization enables self-service analytics
    - Use case and lessons from customer success
    - Overview of the highlight features in Tableau
  • Why Data Virtualization? An Introduction. Recorded: Apr 29 2020 64 mins
    Alex Hoehl, Senior Director - Denodo and Steven Suting, CEO - Everlytics Data Science, Inc.
    What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.

    Watch this session to learn:
    •What data virtualization really is.
    •How it differs from other enterprise data integration technologies.
    •Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations.
  • Logical Data Lake: polifunzionale e decentralizzato per l'analisi dei dati Recorded: Apr 23 2020 77 mins
    Andrea Zinno - Data Evangelist - Denodo, Paolo Crivelli - Technical Sales Director Italy - Denodo
    Come costruire un Data Lake polifunzionale e decentralizzato per l'analisi dei dati?

    Al giorno d'oggi avere successo nelle iniziative legate al Data Lake è sempre più difficile a causa della continua crescita del big data, delle nuove regole sulla privacy e sulla sicurezza dei dati, delle problematiche di governance, semantica dei dati e performance. Secondo le stime di Gartner infatti solo il 40 % dei progetti di Data Lake hanno successo.

    In questo webinar discuteremo del perché i data lake multifunzionali e decentralizzati sono il futuro dell'analisi dei dati.

    Partecipa a questa sessione per imparare:
    - Quali sono le restrizioni del Data Lake fisico monofunzionale.
    - Come costruire un Data Lake logico e multifunzionale per i business users aziendali.
    - I casi d'uso per la Data Analytics che rendono necessario un Data Lake multifunzionale e decentralizzato.
  • Data Virtualization: An Essential Component of a Cloud Data Lake Recorded: Apr 22 2020 60 mins
    Pablo Alvarez, Director of Product Management, Denodo
    Data Lake strategies seem to have found their perfect companion in cloud providers. After years of criticism and struggles in the on-prem Hadoop world, data lakes are flourishing thanks to the simplification in management and low storage prices provided by SaaS vendors. For some, this is the ultimate data strategy. For others, just a repetition of the same mistakes. Attend this session to learn:
    The benefits and shortcoming of cloud data lakes
    The role and value of data virtualization in this scenario
    New development in data virtualization for cloud
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: Powering Self Service Business Intelligence with Hadoop and Data Virtualization
  • Live at: Jan 17 2017 10:00 am
  • Presented by: Mark Pritchard, Denodo and Sean Roberts, Hortonworks
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