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Multi-Cloud Data Integration with Data Virtualization (APAC)

'By 2020, over 90% of Enterprises Will Use Multiple Cloud Services and Platforms' IDC FutureScape: Worldwide Cloud 2018 Predictions

More and more organization are adopting multi-Cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single Cloud provider, they often have data and applications spread across different Cloud regions to support different business units or geographies. The result of this is a high distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging.

Data Virtualization provides a data discovery and access layer that allows data users across the organization access the data that they need for their work - irrespective of whether the data is in a data center or in the Cloud - any Cloud! The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA!).

In this webinar, you will learn about:
- The challenges facing organizations as the adopt multi-Cloud data strategies
- How the Denodo Platform provides a managed data access layer across the organization
- The different multi-location architectures that can maximize local control over data while still making it readily available
- How organizations have benefited from using the Denodo Platform as a multi-Cloud data access layer
Recorded Oct 23 2019 53 mins
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Presented by
Paul Moxon, VP Data Architecture and Chief Evangelist
Presentation preview: Multi-Cloud Data Integration with Data Virtualization (APAC)

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  • Data Virtualization: An Essential Component of a Cloud Data Lake Mar 19 2020 6:00 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
  • Logical data lakes: From single purpose to multipurpose data lakes (APAC) Mar 19 2020 1:30 am UTC 75 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
  • Denodo Italia - Cos’è la Virtualizzazione dei dati? Mar 5 2020 10:00 am UTC 75 mins
    Gabriele Obino - Regional VP Sales Southern EMEA & ME - Denodo, Paolo Crivelli - Technical Sales Director Italy - Denodo
    In un’era sempre più dominata dal cloud computing, dall’AI e dall’Advanced Analytics, dove i dati sono diventati uno degli asset aziendali chiave per il successo competitivo, molte aziende fanno ancora affidamento su approcci d'integrazione dati in auge nel XX secolo.

    Questo si scontra con il bisogno delle aziende di avere una governance e sicurezza dei dati centralizzata nell'architettura, poter accedere agilmente alle informazioni eterogenee e disperse per una delivery in tempo reale, ridurre la replicazione dei dati e il time-to-market.

    Anche secondo Gartner siamo di fronte a un cambiamento nel paradigma tecnologico già che, secondo le ultime stime, prevede che entro il 2022 il 60% delle imprese avrà adottato nuove tecnologie d'integrazione, come la virtualizzazione dei dati, che forniscono un livello logico e sicuro per l'accesso in tempo reale ai dati aziendali, velocizzando l'integrazione dei dati e rendendo possibile la riduzione dei costi e dei rischi, migliorando la conformità delle informazioni.

    Nello specifico tratteremo i seguenti punti:
    1. Cos'è la virtualizzazione dei dati;
    2. Come differisce da altre forme di integrazione a livello Enterprise;
    3. I casi d'uso per il cloud, il Big Data, la Business Intelligence, il Data-as-a-Service e il data management in generale;
    4. Perché la virtualizzazione dei dati si sta espandendo dentro le organizzazioni in Italia;
  • Advanced Analytics and Machine Learning with Data Virtualization Feb 20 2020 7:00 pm UTC 60 mins
    Paul Moxon, VP Data Architecture & Chief Evangelist, Denodo
    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
  • Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC) Recorded: Feb 20 2020 58 mins
    Sushant Kumar, Product Marketing Manager, Denodo and Chris Day, Director, APAC Sales Engineering, Denodo
    According to a leading analyst firm, in 2019 the total spend in data and analytics was close to $104 billion! That number is expected to grow even more in 2020. Companies are investing in data warehouse modernization and data lake projects for descriptive and advanced analytics; however, for the analysis to be holistic, today’s architects weave disparate data streams together, not only from these analytical sources, but also from operational, third party, and streaming data sources. Logical data warehouse is a modern architectural methodology that virtually combines all the data across the enterprise and makes it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions throughout the enterprise.

    In this session, you will learn:
    - What is logical data warehouse and how to architect one
    - The benefits of logical data warehouse – speed with agility
  • How to Achieve Self-Service Analytics with a Governed Data Services Layer (UK) Recorded: Feb 5 2020 56 mins
    Paul Moxon, VP Data Architectures & Chief Evangelist, Denodo
    A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. However, companies must also ensure that while unlocking the full potential of data for business users, they maintain security requirements.

    Data virtualization as a governed data service layer can not only help organizations achieve a unified data access layer that provides integrated views of data to business users in real time, but also allows the organization to establish governance protocols and specify authoritative sources.

    What will we talk about?

    -Challenges faced by business users
    -How data virtualization enables self-service analytics
    -A demonstration
    -A customer case study
  • Modernizing Data Architectures for a Digital Age Using Data Virtualization Recorded: Jan 30 2020 59 mins
    Rick van der Lans, Independent Analyst, R20/Consultancy & Paul Moxon, VP Data Architectures & Chief Evangelist, Denodo
    Success or failure in the digital age will be determined by how effectively organizations manage their data. The speed, diversity and volume of data present today can overwhelm older data architectures, leaving business leaders lacking the insight and operational agility needed to respond to market opportunity or competitive challenges.

    With the pace of today’s business, modernization of a data architecture must be seamless, and ideally, build on existing capabilities. This webinar explores how data virtualization can help provide a seamless evolution to the capabilities of an existing data architecture without business disruption.

    You will discover:
    -How to modernize your data architectures without disturbing the existing analytical workload
    -How to extend your data architecture to more quickly exploit existing, and new sources of data
    -How to enable your data architecture to present more low latency data

    Join this webinar and learn how data virtualization can be an essential part of your modernization strategy, and future-proof your data architecture to more easily support cloud, data science, self-service BI, and other initiatives that will ensure your organization’s success in the digital age.
  • データ仮想化によるマルチクラウド統合 Recorded: Jan 28 2020 49 mins
    平井 孝典 / 貞森 雄介 (セールスエンジニアリング プリセールスエンジニア)
    2020年には、企業の90%以上が複数のクラウドサービスとプラットフォームを利用するーとの予測があります。
    柔軟性、コスト削減、パフォーマンスの最適化、これらを実現するために多くの企業がマルチクラウド戦略を採用しています。その結果、高度な分散インフラストラクチャとなり、レポートと分析に必要なデータの検索とアクセスが困難にもなりつつあります。
    データ仮想化は、データがオンプレミスにあるかクラウドにあるかに関係なく、必要なデータにアクセスできるようにするデータ検出およびアクセスレイヤを提供します。
    Denodo Platformのマルチロケーションアーキテクチャは、データへの迅速かつ容易なアクセスを提供すると同時に「データ所有者」にローカル制御を提供し、ローカルプライバシーおよびデータ保護規制に準拠します。

    本ウェビナーでは、以下についてご理解いただけます。

    ・組織がマルチクラウド戦略を採用する際に直面する課題

    ・Denodo Platformが組織全体に管理されたアクセスレイヤを提供する方法

    ・データを利用可能な状態にしつつ、データをローカルで最大限に制御するマルチローケーションアーキテクチャについて

    ・Denodo Platformをマルチクラウドデータアクセスレイヤとして使用するメリット
  • Data Virtualization: An Introduction (APAC) Recorded: Jan 23 2020 63 mins
    Sushant Kumar, Product Marketing Manager, Denodo and Chris Day, Director, APAC Sales Engineering, Denodo
    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: An Introduction Recorded: Jan 16 2020 60 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
  • Denodo in the Age of Containers: How to Simplify Operation of your Virtual Layer Recorded: Dec 19 2019 53 mins
    Pablo Alvarez, Director of Product Management, Denodo
    Traditional operational tasks like installation, version upgrades, infrastructure scaling and cluster management has been radically transformed with the advent of cloud platforms, containers and orchestration systems. Denodo can take advantage of these environments to create an environment where infrastructure management is a thing of the past, with the goal of reducing operating costs and operating in a much more elastic fashion.

    Attend this session to learn:

    What are the new capabilities of Denodo 8 to manage your entire deployment
    Infrastructure management in AWS and Azure
    How to use Denodo in a Docker + Kubernetes environment
  • Modern Data Management for Federal Modernization Recorded: Dec 17 2019 58 mins
    Ravi Shankar, SVP & Chief Marketing Officer, Denodo
    Faster, more agile data management is at the heart of government modernization. However, Traditional data delivery systems are limited in realizing a modernized and future-proof data architecture.

    This webinar will address how data virtualization can modernize existing systems and enable new data strategies. Join this session to learn how government agencies can use data virtualization to:

    - Enable governed, inter-agency data sharing
    - Simplify data acquisition, search and tagging
    - Streamline data delivery for transition to cloud, data science initiatives, and more
  • Minimizing the Complexities of Machine Learning with Data Virtualization (APAC) Recorded: Dec 11 2019 46 mins
    Pablo Alvarez, Director of Product Management
    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 McCormick has had as a result of seasoning the Machine Learning and Blockchain Landscape with data virtualization
  • Denodoのデータカタログによるビジネスユーザー向けデータ仮想化 Recorded: Nov 26 2019 32 mins
    天野 健雄 カスタマーデリバリー&サクセスマネージャー Denodo
    成功するデータ仮想化イニシアチブは、ITとビジネスの間にあるデータ管理に対する非常に異なる視点のギャップを埋めています。ただし、重点の多くはIT側、すなわち、モデリング、パフォーマンス、セキュリティなどに置かれています。多くの場合、ビジネスユーザーは使用や閲覧が困難なデータセットの大きなライブラリセットを目の当たりにしています。Denodoのデータカタログはこうしたユーザーのニーズをカバーし、ビジネスの観点から仮想レイヤーの使用と理解をシンプルにするように設計されています。これはセルフサービスイニシアチブが成功するために必要な追加機能を提供すると同時に、他のカタログソリューションの一般的な落とし穴の多くを回避します。

    本ウェビナーでは、

    ・論理アーキテクチャでのデータカタログの役割
    ・”シチズンアナリスト”の生活にデータカタログを取り込む方法
    ・ドキュメントおよびメタデータ管理のベストプラクティス
    ・Denodoのデータカタログの高度な使用方法

    について理解できます。
  • Denodo as the Core Pillar of your API Strategy Recorded: Nov 21 2019 58 mins
    Alberto Pan, Executive VP & CTO and Esha Deshpande, Sales Engineer
    Most people associate data virtualization with BI and analytics. However, one of the core ideas behind data virtualization is the decoupling of the consumption method from the data model. Why should the need for data requests in JSON over HTTP require extra development? Denodo provides immediate access to its datasets via REST, OData 4, GeoJSON and other protocols, with no coding involved. Easy to scale, cloud friendly and ready to integrate with API management tools, Denodo can be the perfect tool to fulfill your API strategy!

    Attend this session to learn:

    What’s the role of Denodo in an API strategy
    Integration between Denodo and other elements of the API stack, like API management tools
    How easy is to access Denodo as a RESTful endpoint
    Advanced options of Denodo web services: OAuth, OpenAPI, geographical capabilities, etc.
  • Consumption based analytics enabled by Data Virtualization (APAC) Recorded: Nov 14 2019 60 mins
    Kannan Mahendramani, Senior Solution Architect, HCL & Alex Hoehl, Senior Director Partner Channel Sales APAC, Denodo
    An eclectic mix of old and new data drives every decision and every interaction, but too many organisations are attempting unsuccessfully to consolidate this data into a single repository which is time-consuming, resource-intensive, expensive, and risky.

    Join this Denodo and HCL Webinar to discover how data virtualization provides an effective modern day architecture and an alternative to data consolidation and the challenges of fragmented data ecosystems and traditional integration approaches. We will share stories and provide multiple perspectives on best practices and solutions.

    Content will include:
    • Business use cases that highlight challenges and solutions that result in faster time-to-market and greater ROI.
    • Suggested approaches to achieve extreme agility for competitive advantage.

    If you are a BI or Analytics Manager, Data or Enterprise Architect, Cloud Architect, Data Manager, Data Scientist, CIO, CDO, CFO or anyone who manages data and its use, then this event will be of value to you.
  • データ仮想化を使用した論理データレイクの構築 Recorded: Oct 29 2019 64 mins
    Denodo Technologies株式会社
    注目されるデータレイクですが、これはデータサイエンティストなどが様々なデータを物理的に複製したデータストレージプラットフォームとして構築されてきました。しかし昨今ではビッグデータプライバシールールであったり、データを扱う部門の制限であったりと中中型データリポジトリアプローチが難しいものとなってきました。そこでデータ仮想化を使用すると、物理的複製の必要なく、すべてのデータを論理的かつ仮想的なデータレイクを構築することが可能となります。
    本ウェビナーでは以下について触れる予定です。
    ・物理的なデータレイクの制限
    ・データサイエンティストだけでなく、すべてのユーザ向けに論理データレイクを構築する方法
    ・論理データレイクが必要な新しいユースケース

    プレゼンテーション:30分、デモ:15分、Q&A:15分程度を予定しております。
  • Multi-Cloud Data Integration with Data Virtualization (APAC) Recorded: Oct 23 2019 53 mins
    Paul Moxon, VP Data Architecture and Chief Evangelist
    'By 2020, over 90% of Enterprises Will Use Multiple Cloud Services and Platforms' IDC FutureScape: Worldwide Cloud 2018 Predictions

    More and more organization are adopting multi-Cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single Cloud provider, they often have data and applications spread across different Cloud regions to support different business units or geographies. The result of this is a high distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging.

    Data Virtualization provides a data discovery and access layer that allows data users across the organization access the data that they need for their work - irrespective of whether the data is in a data center or in the Cloud - any Cloud! The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA!).

    In this webinar, you will learn about:
    - The challenges facing organizations as the adopt multi-Cloud data strategies
    - How the Denodo Platform provides a managed data access layer across the organization
    - The different multi-location architectures that can maximize local control over data while still making it readily available
    - How organizations have benefited from using the Denodo Platform as a multi-Cloud data access layer
  • Why Advanced Monitoring is Key for Healthy Enterprise Deployments Recorded: Oct 17 2019 56 mins
    Pablo Alvarez
    The use of Data Virtualization as a global delivery layer means that Denodo is a critical component of the data architecture. It cannot fail, needs to be fault tolerant and perform as designed. In this context, enterprise level-monitoring is key to make sure the virtual layer is in good health and proactively detect potential issues. Fortunately, Denodo provides a full suite of monitoring capabilities and integrates with leading monitoring tools like Splunk, Elastic and CloudWatch.

    Attend this session to learn:

    How to configure the key global parameters of the Denodo server
    How to integrate Denodo with enterprise monitoring solutions like Splunk and Cloudwatch
    Key metrics to monitor
  • データ統合の夜明け - Unlocking the Hidden Business Benefits of Your Data with DV - Recorded: Sep 25 2019 54 mins
    赤羽 善浩 パートナービジネス戦略部長 Denodo Technologies 株式会社
    デジタルトランスフォーメーション、データエコノミー、そしてデータ駆動型組織になることは、現在の経営テーマの1つです。データは、アクセスしやすく、タイムリーで、一貫性があり、信頼でき、適応性があり、実用的である限り、組織とそのビジネスユーザーにとって非常に貴重です。
    しかし、ほとんどの組織ではデータがサイロ化され、データベース、データウェアハウス、Excelスプレッドシート、およびファイル類に隠され、またオンプレミスおよびプライベートクラウドやパブリッククラウドに格納され多くは世界中に分散されています。
    それゆえ、必要なデータを見つけてシステムから抽出し、統合し、意味のある一貫した信頼できる情報に変換することは、時間がかかるだけでなく非常にコストがかかります。
    このウェビナーでは、さまざまなお客様のケーススタディを見て、データ配信に関する最新要件を満たすソリューションとしてのデータ仮想化についてご案内します。
    (プレゼンテーション30分程度、デモ10分程度、QA10分程度を予定しております)
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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  • Live at: Oct 23 2019 1:30 am
  • Presented by: Paul Moxon, VP Data Architecture and Chief Evangelist
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