Analyze Data Faster with an Open Source Columnar Database

If you are looking for the scalability and performance needed to support interactive, ad hoc analytics on billions of rows – and with SQL – this latest Data Science Central webinar will show you how to combine distributed, columnar storage and parallel query processing with powerful aggregate functions to deliver faster time to insight using modern, on-demand analytics, as well as how to leverage the power of Kafka and Spark connectors to plug into existing data pipelines. We will discuss the architectural overview of columnar databases, share real-world use cases and give a live demonstration.
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Spotlight

OTHER ON-DEMAND WEBINARS

Introduction to Product Analytics with The Product Folks

What is product analytics and how does it differ from marketing/web analytics or even business intelligence? Which option answers the questions you’re trying to ask? Just why, and how are digital-first businesses using product analytics?
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Data-Driven Product Development

DataCamp

In this webinar, Ramnath Vaidyanathan, VP Product Research at DataCamp, shares how DataCamp uses data in a big way to drive the development of products and content at scale. He gives some practical examples & insights of ways data has shaped DataCamp's products. Finally, Ramnath goes through the data-driven development process so you can apply the same principles to the products you are building.
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Databases vs Hadoop vs Cloud Storage

mcknightcg

Relational databases are old technology, right? Thirty years is a long time for a technology foundation to be as active as relational databases, but, like NFL coaches, we must “tolerate them until we can replace them.” Are their replacements here? In this webinar, we say no. Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage options like a kid in a candy store? We’ll discuss Hadoop’s continued potential relevance and the cloud storage option that seems vital. Use what when? This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.
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Key Elements of a Successful Data Governance Program

At its core, Data Governance (DG) is all about managing data with guidance. This immediately provokes the question: Would you tolerate any of your assets to be managed without guidance? (In all likelihood, your organization has been managing data without adequate guidance and this accounts for its current, less-than-optimal state.) This program provides a practical guide to implementing DG or recharging your existing program. It provides an understanding of what Data Governance functions are required and how they fit with other Data Management disciplines. Understanding these aspects is a prerequisite to eliminate the ambiguity that often surrounds initial discussions and implement effective Data Governance/Stewardship programs that manage data in support of organizational strategy. Delegates will understand why Data Governance can be tricky for organizations due to data’s confounding characteristics.
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