What are the features of a responsive data platform? Support for all data types and data models to manage real-world big data Actionable insights with modern AI technology Sophisticated data management techniques for boosting data…
Many companies gain tremendous business value by taking in all their data into a master data management platform to create a "master" record. MDM also enables the flexibility of consuming applications to get data curated…
Where can graph technology be used? Graph technology can be applied to any vertical and any business operation to uncover deeper insights about relationships.
Where do data scientists work? Data scientists typically work in marketing and strategic planning, in business verticals of financial services, IT, retail, hospitality, entertainment, healthcare, logistics, and security. They extract insights from data to identify…
Where is data science used? Data science applications in business verticals include BFSI, IT, retail, hospitality, entertainment, healthcare, logistics, and security.
What is data management? Data management refers to the set of practices, techniques, and tools for managing storage and access of enterprise data assets while ensuring security and governance.
What are the big data architecture challenges? Data Quality: Insights from data can be trusted only if the data powering them is trusted. Comprehensive data governance capabilities are required to assure data quality and reliability.…
Big data features also highlight the challenges in managing it efficiently in real-time. Value: The benefit that can be extracted from data in terms of context and contribution to the analysis. The value of big data…
