Data Virtuality
Nick Golovin has a strong background in data management and software development. Nick founded Data Virtuality in 2012 and served as the CEO. Data Virtuality is a data integration and management platform that allows businesses to create a centralized source of data for improved data quality and governance. Prior to founding Data Virtuality, Nick worked at Koch Media GmbH as a Team Leader in Data and Applications. In this role, they led a team responsible for data management and BI reports, and they realized the limitations of available technologies in meeting business requirements. Additionally, Nick worked as a Software Developer at Trifle Net from 1996 to 2001.
Nick Golovin obtained their Associate of Science (AS) degree from Rochester Community and Technical College in 1995-1996. Following that, they pursued a Master's degree in Computer Science from Dnipropetrovs'kij Nacional'nij Universitet, which they completed in 1994-2001. Lastly, they went on to Leipzig University where they earned a Dr.-Ing. (PhD) in Data integration, data warehousing, and machine learning from 2003-2008.
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Data Virtuality
Data Virtuality offers two products to flexibly solve data integration and management problems in a tailored way that best suits data teams in the fast-paced world of data.Data Virtuality Platform - Data Virtualization for Flexible Data ArchitecturesBy uniquely combining data virtualization and data replication, Data Virtuality Platform providesdata teams the flexibility to always choose the right method for the specific requirement. It is an enabler for Data Fabric and Data Mesh by providing the self-service capabilities and data governance features that are indispensable for these frameworks. Enterprises around the world, such as BSH, PGGM, PartnerRe, Crédit Agricole, and Vontobel use the Data Virtuality Platform to build modern data architectures that meet today’s and tomorrow’s business requirements.Pipes - Easy and Reliable Data ReplicationWith Pipes, anyone can build data pipelines from 200+ available sources to a data warehouse with just a few clicks. Fully automated and without any coding. Many businesses from the E-Commerce and Marketplace space, as well as Marketing Agencies, choose Pipes to always have fresh data at any time. With Pipes Professional, data teams can additionally build their custom data pipelines with SQL and make use of job dependencies as well as advanced replication types.Imprint: https://datavirtuality.com/imprint/Imprint: https://datavirtuality.com/imprint/