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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Spotlight

It’s hardly a surprise to anyone in the tech and related industries that “data scientist” is the best job to have these days. After all, this has been what sources like the Harvard Business Review and Glassdoor report for what is now four years in a row. And even if we take the base salary of $108,000 out of the equation, the position is still plenty attractive on all other dimensions. For example, the current shift towards using machine learning to fast-track business growth secures a steady cross-industry need for skilled professionals capable of handling data and the emerging technologies. The infographic below, produced by our friends over at 365DataScience, suggests that the field is evolving and, with it, the typical professional evolves as well.

OTHER ON-DEMAND WEBINARS

Why is a Central Analytics Team Vital to a Self-Service Data Culture?

When your teams are building products for competitive markets and demanding customers, the right insights can make all the difference. Join us for this month’s Coffee Chat webinar to learn how you help your whole organization make better decisions, take faster action—and deliver the kind of experiences that drive revenue, loyalty, and lifetime value.
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Reducing Costs and Increasing the Value of Data Governance

It’s a real economic jungle out there. Budgets might be getting cut, but you can cut through the jungle with self-service help across your teams. Get help! Daniel Petzold, Senior Product Marketing Manager, will serve as your guide to help you reduce IT workloads and costs for distributed data access and governance—agile, cost-efficient self-service across your teams.
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Data Governance 2.0

What if you knew how to establish a strong data governance in your organization? Watch our webinar recording, and find out how CDQ's framework can support you!
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Build an Effective Data Governance Framework

DATAVERSITY

Data Governance frameworks are used to structure the core components of a Data Governance program. Frameworks add significant value for those organizations getting started and improve or address missing components for programs already in place.This month’s RWDG webinar with Bob Seiner will focus on dissecting a common Data Governance framework and customizing the framework to match the needs of your organization. Frameworks can be complex to describe but, in this case, the framework will become the self-describing face of your program.
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Spotlight

It’s hardly a surprise to anyone in the tech and related industries that “data scientist” is the best job to have these days. After all, this has been what sources like the Harvard Business Review and Glassdoor report for what is now four years in a row. And even if we take the base salary of $108,000 out of the equation, the position is still plenty attractive on all other dimensions. For example, the current shift towards using machine learning to fast-track business growth secures a steady cross-industry need for skilled professionals capable of handling data and the emerging technologies. The infographic below, produced by our friends over at 365DataScience, suggests that the field is evolving and, with it, the typical professional evolves as well.

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