Winning the 3rd Wave of BI

In this webinar, Looker CEO, Frank Bien hosts a panel of BI experts including Cigna, Blue Apron and BuzzFeed, to discuss what he calls the “3rd Wave of BI”, and how you can ride it to win.During the 1st wave of BI everyone had to wait for data and the insights they needed. The introduction of data visualization in the 2nd wave made it easy for anyone to grab data from anywhere and do it themselves. Today’s 3rd Wave of BI creates a common data language for your business, making it easy for anyone to find, explore and do more with data.
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Spotlight

OTHER ON-DEMAND WEBINARS

Secure Your Data Mesh Architecture on AWS

The criticality of becoming a data-driven enterprise is a given. But there are multiple data, security and governance approaches to get there. Which should you choose? Learn the challenges of implementing a Data Lake and the benefits of a modern Data Mesh approach with AWS. Hear from AWS Senior Partner Solutions Architect, Ayan Ray, and Privacera Director of Sales Engineering, Lovelesh Chawla, as they discuss the importance of implementing a modern unified data security governance platform. Manage, secure, and automate data access, security, and compliance simply and consistently across your entire data mesh on AWS.
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Data and Analytics Trends for 2019 and Beyond: A Panel Discussion

Gartner

Discussion Topics: - How effective are your current data and analytics initiatives - What trends will most impact how you utilize data and analytics in 2019 and beyond - What must you do to maximize data and analytics in your organization
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What is the GDPR and how will it affect the way you handle data?

CASERTA

GDPR affects companies in the United States and Canada. Failure to comply with the GDPR could result in fines of up to $20 million or higher. Join us to learn: - What is the GDPR and severe consequences of non-compliance - What are the eight main GDPR requirements - How ready is your company and what you can do now
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The Semantic Layer’s Critical Role in Modern Data Architectures

Many of the most exciting innovations and advancements in data management today are occurring within the semantic layer of data architectures. For example, we’re witnessing new or improved approaches to semantic modeling, data cataloging, data lineage, and more. Even older forms of semantics—such as metadata and virtualization—are being infused with new techniques for augmentation and automation, including intelligent tool algorithms driven by machine learning and the use of graph analytics to generate data maps and automatically document data elements found via graph.
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