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Advanced Analytics and Machine Learning with Data Virtualization

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 Prologis has had as a result of operationalizing their Machine Learning analytics with data virtualization
Recorded Feb 20 2020 60 mins
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Presented by
Paul Moxon, VP Data Architecture & Chief Evangelist, Denodo
Presentation preview: Advanced Analytics and Machine Learning with Data Virtualization

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  • Cloud Modernization and Data as a Service Option May 21 2020 6:00 pm UTC 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) May 21 2020 1:30 am UTC 75 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)

    Abstract:

    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
  • Simplifying Cloud Architectures with Data Virtualization May 14 2020 12:00 pm UTC 60 mins
    Paul Moxon, VP 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
  • Accelerate Self-Service Analytics with Virtualization and Visualisation (Thai) May 12 2020 3:00 am UTC 60 mins
    K. Narongrit Manomaipiboon, K. Sutee Uraiwichaikul from G-Able and Featured speaker from Tableau
    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
    •อุปสรรคและความท้าทายที่ผู้ใช้งานในองค์กรธุรกิจต้องเผชิญ
    •Data Virtualization ทำให้คุณสามารถวิเคราะห์ข้อมูลได้ด้วยตัวเองได้อย่างไร
    •กรณีศึกษาและบทเรียนจากความสำเร็จของลูกค้า
    •สรุป Tableau Highlight Features
  • Accelerate Self-Service Analytics with Data Virtualization and Visualization Apr 30 2020 2:00 am UTC 60 mins
    Alex Hoehl, Senior Director - Denodo and Ian Teoh, Consultant - Tableau. Hosted by 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. Apr 29 2020 5:30 am UTC 60 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 Apr 23 2020 9:00 am UTC 75 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 Apr 22 2020 5:00 pm UTC 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
  • Data Virtualization: From Zero to Hero Apr 22 2020 7:00 am UTC 75 mins
    Alexey Sidorov - Chief Evangelist Middle East | Raheel Khan - Regional Sales Director
    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.

    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
  • Data Virtualization enabled Data Fabric: Operationalize the data lake (APAC) Apr 22 2020 1:30 am UTC 75 mins
    Sushant Kumar, Product Marketing Manager, Denodo and Chris Day, Director, APAC Sales Engineering, Denodo
    The best of breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform and provide real-time data integration, while delivering self-service data platform to business users.

    While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best of breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform and provide real-time data integration, while delivering self-service data platform to business users.

    Attend this session to learn how big data fabric enabled by data virtualization:
    •Provides lightning fast self-service data access to business users
    •Centralizes data security, governance and data privacy
    •Fulfills the promise of data lakes to provide actionable insights
  • Bridging the Last Mile: Getting Data to the People Who Need It Apr 16 2020 6:00 pm UTC 60 mins
    Paul Moxon, VP Data Architecture & Chief Evangelist, Denodo
    Many organizations are embarking on strategically important journeys to embrace data and analytics. The goal can be to improve internal efficiencies, improve the customer experience, drive new business models and revenue streams, or – in the public sector – provide better services. All of these goals require empowering employees to act on data and analytics and to make data-driven decisions. However, getting data – the right data at the right time – to these employees is a huge challenge and traditional technologies and data architectures are simply not up to this task. This webinar will look at how organizations are using Data Virtualization to quickly and efficiently get data to the people that need it.

    Attend this session to learn:

    The challenges organizations face when trying to get data to the business users in a timely manner
    How Data Virtualization can accelerate time-to-value for an organization’s data assets
    Examples of leading companies that used data virtualization to get the right data to the users at the right time
  • Increasing Production of (Data) Assets using Data Virtualization Apr 14 2020 6:00 pm UTC 45 mins
    Ravi Shankar, Senior VP & CMO, Denodo
    The ADA Upstream conference may be postponed, but you can still take in some of the sessions online. Join us for a quick 30 minute webinar for insights on how data virtualization can benefit the O&G Industry:Increasing Production of (Data) Assets using Data Virtualization

    Join this session to:

    •Review the benefits of separating data access from data storage as a fundamental principle in achieving flexibility and control in exploiting your data assets
    •Learn how data virtualization has been used in analytics use cases from surface to subsurface including facilities, exploration, drilling, production and operations
    •Increase real-time, secure, performant, and shared data access across all your Upstream data sources (lakes and warehouses included) through a logical design
  • Can data virtualization uphold performance with complex queries? Recorded: Apr 2 2020 41 mins
    Paul Moxon, SVP Data Architectures & Chief Evangelist, Denodo
    There are myths about data virtualization that are based on misconceptions and even falsehoods. These myths can confuse and worry people who - quite rightly - look at data virtualization as a critical technology for a modern, agile data architecture.

    We've decided that we need to set the record straight, so we put together this webinar series. It's time to bust a few myths!

    In the first webinar of the series, we’ll be busting the 'performance' myth. “What about performance?” is usually the first question that we get when talking to people about data virtualization. After all, the data virtualization layer sits between you and your data, so how does this affect the performance of your queries? Sometimes the myth is perpetuated by people with alternative solutions…the ‘Put all your data in our Cloud and everything will be fine. Data virtualization? Nah, you don’t need that! It can't handle big queries anyway,’ type of thing.

    Join us for this webinar to look at the basis of the 'performance' myth and examine whether there is any underlying truth to it.
  • Accelerate Cloud Migration with Data Virtualization - データ仮想化によるクラウド移行の加速化 - Recorded: Mar 26 2020 36 mins
    赤羽 善浩 パートナービジネス戦略部長 Denodo Technologies 株式会社
    組織はクラウドを急速に採用しており、複雑なビッグデータの状況に対処するに際し、重要な企業情報リソースの移行が課題になる可能性があります。適切なデータサービスアーキテクチャを構築することで、企業は俊敏性やコスト削減など、クラウドイニシアチブから最大限の利益を得ることができ、データ仮想化が問題の軽減に役立ちます。
  • 企业如何利用数据资产,高效战“疫” Recorded: Mar 25 2020 61 mins
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    疫情全球蔓延,对各行各业带来不小的冲击和挑战,如何实时获取各个国家和地区的最新数据信息,绘制实时的全球疫情地图,支持企业战略化布局,利用历史数据预测疫情变化、及时采取措施或调整策略,从容面对各种环境变化变得极为重要。

    参加此次线上直播,了解:
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    -IT部门如何减少数据准备时间,高效建模,轻松应对业务部门不断变化的需求
  • Accelerate Self-Service Analytics with Data Virtualization and Visualization Recorded: Mar 25 2020 60 mins
    Alex Hoehl, Senior Director - Denodo and Ian Teoh, Consultant - Tableau. Host: Chris Whitaker, MD - ABeam Lightstream
    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
  • Data Virtualization: An Essential Component of a Cloud Data Lake Recorded: Mar 19 2020 61 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
  • Logical data lakes: From single purpose to multipurpose data lakes (APAC) Recorded: Mar 19 2020 60 mins
    Sushant Kumar, Product Marketing Manager, Denodo and Chris Day, Director, APAC Sales Engineering, Denodo
    Historically data lakes have been created as 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 multipurpose data lakes are the future of data analysis for a broad range of business users.

    Attend this webinar to learn:
    1. The restrictions of physical single purpose data lakes
    2. How to build a logical multipurpose data lake for business users
    3. The newer use cases that makes multipurpose data lakes a necessity
  • Come migrare al cloud facilmente con la Data Virtualization Recorded: Mar 11 2020 4 mins
    Stefano Cruciani, Marketing Manager Italia
    Cloud migration con la virtualizzazione dei dati.

    Per rendere il più trasparente possibile il processo di migrazione del cloud, le aziende hanno bisogno di una moderna architettura di dati che permetta d'integrare in maniera agile ed efficiente i propri dati. In questo video, spieghiamo come la virtualizzazione dei dati può facilitare questo processo, consentendo agli utenti business di accedere facilmente alle origini dati e con le convenzioni di denominazione corrette durante la migrazione ai sistemi cloud.

    Guarda questo video e te lo spieghiamo in meno di 3 minuti.
  • Data Virtualization in meno di 3 minuti Recorded: Mar 10 2020 3 mins
    Stefano Cruciani, Marketing Manager Italia
    Cos'è la Data Virtualization? Hai sentito già parlare della Data Virtualization? Prenditi 3 minuti per capire cos'è questa tecnologia di integrazione dei dati di cui tutti parlano e quali sono i benefici.

    La virtualizzazione dei dati offre la soluzione alla moderna strategia di gestione dei dati. Fornisce un unico punto di accesso ai dati aziendali senza doverli spostare in nuovi repository centralizzati. Guarda questo video per scoprire come funziona la Data Virtualization e quali enormi enormi benefici apporta alla tua azienda.
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: Advanced Analytics and Machine Learning with Data Virtualization
  • Live at: Feb 20 2020 7:00 pm
  • Presented by: Paul Moxon, VP Data Architecture & Chief Evangelist, Denodo
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