The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms. Cloud has become a key component of modern architecture design. Data lakes, IoT, NoSQL, SaaS, etc. coexist with relational databases to fuel the needs of modern analytics, ML and AI. Exploring and understanding the data available within your organization is a time-consuming task. Dealing with bureaucracy, different languages and protocols, and the definition of ingestion pipelines to load that data into your data lake can be complex. And all of this without even knowing if that...
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Denodo Presentation by Mitesh Shah, Senior Cloud Product Manager at Denodo
Read MoreDenodo partner presentation by Rajat Sinha, Director - Alliances at Wipro Limited.
Read MoreSuccess 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...
Read MoreAs organizations increasingly adopt cloud the challenges with data integration can increase. Learn how data virtualization can make it easier to transition data between cloud and on-premise by providing a virtual data layer that abstracts business users from the technical details of where data resides.
Read MoreAlberto Pan, CTO & Executive VP at Denodo, explores the next generation in modern data management - The Denodo Platform v.8.0
Read MoreDenodo partner presentation by Gavin Targonski, Director Sales and Business Development, Wipro
Read MoreAnalyst Keynote by Rick van der Lans, Independent Analyst, Founder at R20 Consultancy
Read MoreDenodo Presentation by Calvin Fudge, Director of Product Marketing, Denodo.
Read MoreThere’s a wide range of reasons why many organizations are deciding to modernize their data architectures. But they all agree on one thing: by using data more effectively, more widely, and more deeply, they can improve and optimize business and decision-making processes that will help them stay competitive in the emerging digital economy.To prepare data architectures for the next evolution of analytics, the current systems that rely on physical data movement and redundant data storage, must be modernized. However, for it to be effective, modernization must be seamless and must not disturb...
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