data architecture

Showing 1 - 10 of 63 pages tagged with: data architecture

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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Building a Scalable, Federated Data Architecture with Data Virtualization

Presented at DAMA VancouverFor more than three decades, business users have demanded a unified view of organizational data. Technologists have addressed this need, over time, first with databases, then with data warehouses, and more recently with data lakes. However, these technologies have become data silos housing different types of data. That’s where technologies like data virtualization played a critical role to provide a unified view of the enterprise information, without replicating data and delivering faster speed-to-market for products and services. As businesses go increasingly...

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Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)

Self-service is a major goal of modern data strategists. 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. As data unification and data collaboration become key critical success factors for organizations, data catalogs play a key role as the perfect companion for a virtual layer to fully empower those self-service initiatives and build a self-service data marketplace requiring minimal IT intervention.Denodo’s Data Catalog is a key piece in Denodo’s portfolio to bridge...

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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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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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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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ABSA Case Study: Data Virtualisation – The Game Changer (UK)

Join Heinrich Momberg, Head of Data Engineering for ABSA as he explores the ways Data Virtualisation is changing the game and accelerating ABSA’s data driven objectives. Facilitated by Kevin McKerr, Sales Leader for BITanium Consulting, this interactive whiteboard session is a must for anyone interested in learning how Data Virtualisation can solve multiple use-cases and make real impact in driving the agility and flexibility required of a modern data environment.ABSA is a South African-based financial services group, offering personal and business banking, credit cards, corporate and...

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Denodo Design Studio: Modeling and Creation of Data Services

Change is the only constant and it is very important for enterprises to keep up with the changing times in an agile fashion. To ensure faster time to market, quick business insights and rapid data driven decision making, it is important that the Data Delivery channel is optimized in the best way possible.With the advent of API Management technologies the demand for data being delivered in the form of a Data Service/APIs is increasing. The ability to make data available in an API format at the click of a button is the need of the hour. Join us to see how easy it is to make enterprise wide data...

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