Get the Right Fit

waterlinedata.com

Join data management guru Dave Wells for this educational webinar on the data catalogs role, and how to get the best fit for your enterprise.Managing data in the age of big data and self-service analytics is a complex job. Managing data without a data catalog is difficult and fraught with risk. Data cataloging is the new gold standard for metadata and an essential component of modern data management. Data catalogs support data curation and data stewardship with intelligent and automated tagging, profiling, and linking to business glossary. They help business analysts and data scientists to quickly find data and evaluate the fit for their specific use cases. Strategically, cataloging is at the core of data asset management with direct impact for data governance, regulatory compliance, and analytic quality and efficiency.
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Spotlight

True transformation emerges when you take a data-first modernization approach. See how you can accelerate with a data-first modernization strategy.

OTHER ON-DEMAND WEBINARS

Make Big Data Work in the Cloud

waterlinedata.com

As companies shift their Big Data to the cloud and hybrid environments, the need for Big Data analytics and a corresponding long-term analytics strategy has become increasingly critical. Here’s your opportunity to listen to experienced Big Data practitioners articulate their best practices in building successful, long term analytics architectures.
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2020 and Beyond: Architecting Your Data Warehouse for the New Decade

Companies continue to experience a dynamic shift in the growth of enterprise data. Fueled by a wave of emerging startups, innovative technologies and greater competition, the opportunity to drive faster decision-making has exploded – but so too have the questions on the best way to architect analytics-ready BI from the modern cloud-ready data warehouse.
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Cloud Data Strategies for Mission-Critical, Distributed Applications

When organizations need to move quickly to launch new, digitally transformed applications that rely on terabytes (if not petabytes) of data, they cannot afford to wait for legacy database management systems to catch up. Cloud computing platforms give organizations the ability to stand up systems quickly, but if the data layer cannot offer the linear scalability, low latency, high availability, performance, fault tolerance, security, and agility needed for today’s 24/7 applications, organizations will never realize their objectives.
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Riding the Data Privacy Wave: How Will You Stay Afloat?

IBM

Data privacy regulation is bigger than just GDPR. Other countries and jurisdictions are enacting their own versions of the data privacy regulation, each with subtle nuances - such as the California Consumer Privacy Act (CCPA), Lei Geral de Proteção de Dados (LGPD), and more - and that’s on top of existing privacy regulations. Moreover, consumers increasingly expect more protection for their sensitive information. A recent IBM-Harris poll of 10,000 individuals revealed that 75% of consumers won’t buy from companies they don’t trust no matter how great their product or service.
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