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Businesses across all industries collect and manage an unprecedented volume of personal and financial data. Public sector agencies possess a lot of sensitive data that includes Personally Identifiable Information (PII) data.
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What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services.
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Every organization realizes data is a strategic asset and needs a data management strategy to unlock the full potential of their data. Taking a technology-centric approach is necessary to solve data challenges such as the increasing volume, complexity, silos, integration, governance, security, and number of data sources.
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ETL solutions have historically dominated the market of data integration tools, it’s a fact. In recent years, however, the exponential growth, complexity and diversification of data types, in addition to the need of an ever-faster access to fresh data, have proven the limitations of traditional solutions that depend on physical movement of data.
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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.
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Data management is an important aspect to be addressed while an institution undergoes massive digitalization. Organizations need to 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 companies. This goal can be achieved with Data Virtualization.
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In this whitepaper, you will learn from Mike Ferguson, an industry expert and the Managing Director of Intelligent Business Strategies, about what makes up a data mesh.
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Presented at Chief Data Officer Live (APAC)
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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.
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Demystifying Data Virtualization (ASEAN)
Webinar