Can data virtualization uphold performance with complex queries? (Chinese)Denodo
Watch full webinar here: https://bit.ly/3fQFUEY
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.
Register this webinar as we explore the basis of the 'performance' myth and examine whether there is any underlying truth to it.
Can data virtualization uphold performance with complex queries? (Chinese)Denodo
Watch full webinar here: https://bit.ly/3fQFUEY
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.
Register this webinar as we explore the basis of the 'performance' myth and examine whether there is any underlying truth to it.
Trinity 大幅提昇企業面對大量快速變化資訊潮流時的競爭力。
現今企業 BI 多建於 RDBMS 上，伴隨大量的 ETL 與資料交換作業。在導入 Hadoop Big Data 應用之後, 如何有效地與既有 BI 系統介接，且進一步整合，以發揮整體綜效，將是一項挑戰。
Trinity 藉由優越的架構，在傳統 Structured Data 與 Hadoop Big Data 的應用間，建立無縫的交換作業，讓資訊分析人員直接運用熟悉的方式，以大幅降低導入 Big Data 應用時的學習曲線與後續對系統維運所投入的人力。
Modernising Data Architecture for Data Driven Insights (Chinese)Denodo
Watch full webinar here: https://bit.ly/3phVEEv
In an era increasingly dominated by advancements in cloud computing, AI and advanced analytics, it may come as a shock that many organizations still rely on data architectures built before the turn of the century. But, that scenario is rapidly changing with the increasing adoption of real-time data virtualization - A paradigm shift in the approach that organisations take towards accessing, integrating, and provisioning data required to meet business goals.
As data analytics and data-driven intelligence takes center stage in today’s digital economy, logical data integration across the widest variety of data sources, with proper security and governance structure in place has become mission critical.
Register this webinar to learn:
- How you can meet the challenges of delivering data insights with data virtualization
- Why Data Virtualization is increasingly find enterprise-wide adoption
- How customers are reducing costs and delivering faster insight
Centralizing Data Security with Data Virtualization (Chinese)Denodo
Watch: https://bit.ly/2E1ZtvK
Security can be a key concern when data is spread across multiple systems residing both on-premise and on the cloud. Asurion has leveraged data virtualization to use it as a single engine for security control over the data sources. This also helps facilitate transition to modern cloud-based data architecture.
In this webinar, we will discuss how data virtualization will help:
- Customize security and governance strategy in the data abstraction layer;
- Overcome the challenges associated with centralizing security across on-premise and cloud data sources;
- Build a single engine for security that provides audit and control by geographies
Leverage Modern Enterprise Architecture To Speed Up Work ResumptionDenodo
Watch here: https://bit.ly/2zEn6Ik
Coronavirus is more under control now in China, so all the industries and companies speed up work resumption. Companies are facing more complex and dynamic environment and fierce competition due to the big impact caused by virus. Real-time, agile, and secure modern data-driven architecture becomes the top priority to accelerate digital transformation and keep ahead of the competition.
Attend this webinar to learn how to:
- Build a competitive enterprise-level data service architecture;
- Realize agile and real-time connection of heterogeneous data platforms and build a unified business model;
- Achieve data-as-a-service capabilities under a complex IT environment in an easier way.
Advanced Analytics and Machine Learning with Data Virtualization (Chinese)Denodo
Watch full webinar here: https://bit.ly/3mLNJ1J
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
- How Prologis accelerated their use of Machine Learning with data virtualization
How Enterprises Leverage Data to Overcome Business Challenges During CoronavirusDenodo
Watch full webinar here: https://bit.ly/2Jgb1uc
Coronavirus is spreading all over the world and has big impact on all the industries. How to acquire latest virus information from different countries and regions in real time to help organizations strategically plan and take actions accordingly and timely becomes very important.
Attend this webinar to learn:
- How business department acquires trustworthy data, gain deeper insights and fasten decision making
- How IT easily supports dynamic business requirements in real time
Trinity 大幅提昇企業面對大量快速變化資訊潮流時的競爭力。
現今企業 BI 多建於 RDBMS 上，伴隨大量的 ETL 與資料交換作業。在導入 Hadoop Big Data 應用之後, 如何有效地與既有 BI 系統介接，且進一步整合，以發揮整體綜效，將是一項挑戰。
Trinity 藉由優越的架構，在傳統 Structured Data 與 Hadoop Big Data 的應用間，建立無縫的交換作業，讓資訊分析人員直接運用熟悉的方式，以大幅降低導入 Big Data 應用時的學習曲線與後續對系統維運所投入的人力。
Modernising Data Architecture for Data Driven Insights (Chinese)Denodo
Watch full webinar here: https://bit.ly/3phVEEv
In an era increasingly dominated by advancements in cloud computing, AI and advanced analytics, it may come as a shock that many organizations still rely on data architectures built before the turn of the century. But, that scenario is rapidly changing with the increasing adoption of real-time data virtualization - A paradigm shift in the approach that organisations take towards accessing, integrating, and provisioning data required to meet business goals.
As data analytics and data-driven intelligence takes center stage in today’s digital economy, logical data integration across the widest variety of data sources, with proper security and governance structure in place has become mission critical.
Register this webinar to learn:
- How you can meet the challenges of delivering data insights with data virtualization
- Why Data Virtualization is increasingly find enterprise-wide adoption
- How customers are reducing costs and delivering faster insight
Centralizing Data Security with Data Virtualization (Chinese)Denodo
Watch: https://bit.ly/2E1ZtvK
Security can be a key concern when data is spread across multiple systems residing both on-premise and on the cloud. Asurion has leveraged data virtualization to use it as a single engine for security control over the data sources. This also helps facilitate transition to modern cloud-based data architecture.
In this webinar, we will discuss how data virtualization will help:
- Customize security and governance strategy in the data abstraction layer;
- Overcome the challenges associated with centralizing security across on-premise and cloud data sources;
- Build a single engine for security that provides audit and control by geographies
Leverage Modern Enterprise Architecture To Speed Up Work ResumptionDenodo
Watch here: https://bit.ly/2zEn6Ik
Coronavirus is more under control now in China, so all the industries and companies speed up work resumption. Companies are facing more complex and dynamic environment and fierce competition due to the big impact caused by virus. Real-time, agile, and secure modern data-driven architecture becomes the top priority to accelerate digital transformation and keep ahead of the competition.
Attend this webinar to learn how to:
- Build a competitive enterprise-level data service architecture;
- Realize agile and real-time connection of heterogeneous data platforms and build a unified business model;
- Achieve data-as-a-service capabilities under a complex IT environment in an easier way.
Advanced Analytics and Machine Learning with Data Virtualization (Chinese)Denodo
Watch full webinar here: https://bit.ly/3mLNJ1J
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
- How Prologis accelerated their use of Machine Learning with data virtualization
How Enterprises Leverage Data to Overcome Business Challenges During CoronavirusDenodo
Watch full webinar here: https://bit.ly/2Jgb1uc
Coronavirus is spreading all over the world and has big impact on all the industries. How to acquire latest virus information from different countries and regions in real time to help organizations strategically plan and take actions accordingly and timely becomes very important.
Attend this webinar to learn:
- How business department acquires trustworthy data, gain deeper insights and fasten decision making
- How IT easily supports dynamic business requirements in real time
2012.05.24 於 「Big Data Taiwan 2012」的 Keynote 講稿。
主講者：Etu 副總經理/ 蔣居裕
《議題簡介》
無論是企業區域網路，還是開放的網際網路，在巨大的結構化與非結構化資料的背後，其實充滿著各種行為意圖，以及人、事、物、時、地的多維度關聯。商業的日益競爭，已經來到了一個除了講求行銷創意，還要擁有巨量資料處理與分析技術，才能出奇制勝的時代。有人形容 Big Data 的價值挖掘，就像是在攪拌混凝土，若在尚未完成前就中斷，將導致前功盡棄，全無可用的窘境。對 Big Data 的意圖與關聯探索，必須是 End-to-End 全程的照料，方得實現。本議程將舉例說明這個有序到永續的過程，讓聽者更能領略意圖與關聯充滿的世界。
The Cloud Computing China Congress (CCCC http://www.cloudcomputingchina.org ) is specially designed for senior IT and line of business executives evaluating and making purchasing decisions in the areas of on-demand infrastructure and software services.
Big Data World Forum (BDWF http://www.bigdatawf.com/) is specially designed for data-driven decision makers, managers, and data practitioners, who are shaping the future of the big data.
