Data Analytics

Showing 1 - 10 of 43 pages tagged with: Data Analytics

How to Gain True Agility for S/4HANA with Data Virtualization

Join our webinar to find out how to lighten the load by redefining the migration process. We’ll show why you never have to burden yourself with “data hoarding” again.SAP S/4HANA migrations, updates, and conversions no longer require the burden of collecting, managing, and protecting data. Using data virtualization dramatically reduces transition time, data costs, infrastructure and security/PII management while maintaining access to centralized infrastructure and consolidated data analytics. For an SAP S/4HANA migration, true data agility means you access the data you need, when you need it,...

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Maximizing Data Lake ROI with Data Virtualization: A Technical Demonstration

Companies with corporate data lakes also need a strategy for how to best integrate them with their overall data fabric. To take full advantage of a data lake, data architects must determine what data belongs in the Lake vs. other sources, how end users are going to find and connect to the data they need as well as the best way to leverage the processing power of the data lake. This webinar will provide you with a deep dive look at how the Denodo Platform for data virtualization enables companies to maximize their investment in their corporate data lake.Watch on-demand this webinar to learn:...

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Myth Busters V: My ETL Tools Do Everything That I Need. Why Do I Need Data Virtualization?

So your data architecture keeps getting more and more complex - new data sources, new data types and formats, and ever-increasing demands from the users for more, better, and faster data. You're struggling to keep up and your users are getting more and more vocal about the amount of time it takes to get their data. But you have faith in your ETL tools. They've solved the problem in the past and you're sure that they can do the same now…or can they?ETL tools - or even the ELT variants - have their use and purpose. We're not going to argue that.However, they are not the solution to all of your...

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Logical Data Fabric for Building a Unified Data Warehouse and Data Lake

Why a logical data fabric is the cornerstone to Building a Unified Data Warehouse and Data Lake

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Data Virtualization: Fulfilling The Digital Transformation Requirement In Banking, Financial Services, and Insurance (Middle East)

In the digital transformation era, Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.   BFSI institutions need to update their legacy systems, create a single view of all their data, establish security controls across the entire infrastructure and implement strategies and services that will transform them into digital financial organizations. This can be achieved with Data Virtualization.  In this joint live...

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Enabling Cloud Data Integration (EMEA)

Denodo recently released the Denodo Cloud Survey 2021. Learn about some of the insights we have from the survey as well as some of the use cases Denodo comes across in the cloud. We will also conduct a brief product demonstration highlighting how easy it is to migrate to the cloud and support access to data in hybrid cloud architectures.In this session not only will we look at what you, the customers are saying in the Denodo Cloud Survey but also:

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Analyst Webinar: Enabling a Customer Data Platform Using Data Virtualization

In today’s digital economy, customers are all-powerful. They have the ability to search for and find products and services, find reviews and ratings, find out about alternative products and services via search and social networks, ask questions of others about products and services, and find comparison sites. All of this can be done from a mobile device while on the move and with so many options available to them. They can switch to a competitor at the touch of a mobile phone screen or the click of a mouse.In this kind of economy, customer loyalty is cheap and so it is essential to know more...

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Data Services and the Modern Data Ecosystem (Middle East)

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 Middle East Webinar series episode, “Data Services and...

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Myth Busters: I Access My Data Through APIs–Data Virtualization Can't Do This (Australia)

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 Lunch & Learn where we bust this myth!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...

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Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)

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.Watch on-demand this webinar to learn:The restrictions of physical single-purpose data lakesHow to build a logical multi-purpose data lake for business...

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