Building the Enterprise Data Lake – Important Considerations Before You Jump In

In this recorded webinar, hear from industry analyst and big data thought leader Mark Madsen about the future of big data and importance of the new Enterprise Data Lake reference architecture. This webinar covers:What's important when building a modern, multi-use data infrastructure and why the field of dreams approach doesn't work The difference between a Hadoop application vs. Data Lake infrastructure An Enterprise Data Lake reference architecture to get you started
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OTHER ON-DEMAND WEBINARS

Data & Analytics Leadership and Vision for 2019

Gartner

- Establish a trusted foundation of data management - Increase the data literacy of all roles in the enterprise - Scale data and analytics capabilities for the complexity of modern digital business
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How to Gain a Crisis Advantage with Real-Time Information

To reduce the impact of an unfolding crisis, companies need a clear, accurate and early line of sight into emerging risks. Leaders can then act with confidence and seize opportunities to preserve brand reputation while driving operational excellence. To demonstrate how real-time information can help companies gain advanced warn
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Improving Transactional Applications with Analytics

MariaDB

Today, most web and mobile applications are limited to “lightweight” analytics because general-purpose databases can be optimized for transactional or analytical workloads, but not both – and since transactional processing is critical, applications have to compromise on analytics. However, what if an e-commerce application could let customers know which products are soon to be sold out based on clickstream data, shopping carts, current inventory and recent purchases as well as historical buying patterns and emerging shopping trends? In this webinar, attendees will learn how to leverage MariaDB ColumnStore to provide transactional applications with real-time analytics on historical data.
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Data Analytics Testautomation Concept

In this 50-minute overview and product demo, Founder and CTO, Thomas Bolt, will show you how you get a strategic and automated concept for quality assurance in your data-driven development project. You’ll learn why hundreds of data analytics projects fail with too less or inadequate testing and how to implement a strong testing concept easily by using BiG EVAL's test automation software for data-driven projects.
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