Make Big Data Work in the Cloud

Watch Matt Aslett from 451 Research and MakeBigDataWork.org in this 45 minute educational webinar on how to make big data work in the cloud.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. Heres your opportunity to listen to experienced Big Data practitioners articulate their best practices in building successful, long term analytics architectures.
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Spotlight

OTHER ON-DEMAND WEBINARS

Analyze Data Faster with an Open Source Columnar Database

MariaDB

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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How to Stay Ahead of a Crisis, and What to Do if You Can't

Imagine you’re a luxury brand releasing a product to a rapt and loyal audience. But instead of receiving rave reviews, your product incites controversy—and social chatter swells around that negative impression. Suddenly, the brand is making headlines that threaten its reputation and could alienate customers. How can you implemen
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Empowering Local Leaders with Near Real-Time Data and Analytics

Decisions made at the national and state level are affecting local communities all around the country. But these communities vary greatly. How do local leaders take control to ensure the right decisions are made for their communities?
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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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