Metadata Management for Scientific Research

Groups maintaining data repositories at the petabyte-scale are discovering that cataloguing associated metadata is necessary to properly access recall and analyze data. Capturing and maintaining metadata long term is becoming as critical as the data itself.Join this EMC Tech Talk to learn about:The evolving nature of metadata in scientific research.The recent advancements and approaches to meta-data management.Current EMC R&D activities to develop meta-data management capabilities
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Financial Analytics Fundamentals Use Data Science And Analytics In BFSI

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For a data analyst, financial analytics is one of the most useful skill sets to inculcate given the rapid growth of roles in this booming sector. A specialisation in this field will be a value-add given the rapid rise of fintech in India’s digital ecosystem. Financial analytics helps companies uncover deeper insights into the company’s finances and can help in finding pain points and new streams of revenue. Financial Analysts work in investment firms, banks, insurance sector and digital payments companies.
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Choosing an Analytical Cloud Data Platform

As organizations move into the cloud, the choices for handling high-scale data for analytical use are flourishing and evolving. How do we address BI/analytics, data science, security/application monitoring, and log data management workloads? Do we really need potentially overlapping warehouse, data lake, and security and observability capabilities on top of object storage, or can an evolved data lake or emerging “lakehouse” platform do it all? Join Doug Henschen, VP and principal analyst at Constellation Research and Thomas Hazel, Chief Technology and Science Officer at ChaosSearch for a broad-ranging discussion on the challenges and strategy considerations that go into choosing the right platform.
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Delivering Real-Time Business Insights from ERP Data in the Cloud

Businesses succeed when they can extract more contextual, relevant, and predictive insights from ERP data in real time. ERP analytics can deliver more powerful data-driven insights if deployed in a cloud-based platform. The scalability of cloud-based data repositories—such as data lakes and data warehouses—can allow more users to concurrently query, explore, correlate, analyze, and visualize more ERP data more rapidly than would be possible on many on-premises analytics platforms.
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Data Confidentiality & Utility: A Way Forward Together

Enterprises in data driven fields such as finance and healthcare must balance data utility with confidentiality. Often, enterprises and their partners want to analyze or monetize non-public or personally identifiable information, often at odds with growing privacy regulations and intellectual property concerns. Innovations in bu
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