Everything Data Scientists Should Know About Organizing Data Lakes

The recent GDPR regulations have changed the way companies handle the data they collect and store, making it imperative for data scientists to explore innovative ways to crunch and catalog data while ensuring that the company adheres to these new rulings that seek to establish complete data security.Join Big Data Expert Ronald Van Loon, and Simplilearns Chief Product Officer Anand Narayanan in a live video chat to understand.
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Spotlight

Téléchargez ce nouveau rapport de Frost & Sullivan et découvrez les étapes clés pour moderniser la protection de vos données.

OTHER ON-DEMAND WEBINARS

High-Impact Analytics for Financial Services: Integration Updates to Salesforce Genie, Snowflake, and CRM Analytics

Learn how the unique relationship between Salesforce Genie, Snowflake, and CRM Analytics is creating new ways for financial services firms to realize the value of customer data. Join us as industry leaders showcase the different real-time data integration options and discuss how customers are leveraging these platforms to achieve success today.
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Adapting Your Data Science & Data Analyst Career

The explosion of data means that data scientists and analysts need to understand how to manage big data and how to use automation tools to help deal with the data overload. What do you need to do to prepare your career for this emerging reality?
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From Data Integration to Analytics in Action

Why Espresso? Our new webinars are strong, short, and with immediate effect – like an espresso. We don't want to bore you with frothed milk, we want to get straight to the point. Whether data integration, GeoAnalytics, Alerting, or AI - our experts explore a new topic each week - in 30 minutes. We will provide you with quick overviews, use cases & tips that you can implement when working with Qlik products; and because the webinar is live, you can ask questions if you need more information.
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How to successfully automate your Snowflake Data Cloud

Everyone is looking to be more agile as they move to the cloud, but there has never been more data than there is now and data is growing exponentially everyday. Data is also more shared and distributed than ever across an increasingly complex technology landscape.
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