Best Practices: Implementing DataOps with a Data Science Platform

Presented by

Crystal Valentine, MapR Technologies & William Merchan, DataScience.com

About this talk

With the growing number of data-driven organizations new approaches are needed to drive innovation in scaling and implementing data science. We will discuss how data and data science platforms take advantage of what we are calling DataOps. We will share background on this approach and how it supports putting data science models into production. We will provide best practices and a roadmap on how to implement these techniques to become a leader in machine learning and data science. Watch the recording of this complimentary webinar with experts from DataScience.com & MapR to: - Learn about the benefits of applying a DataOps approach to your data science workflow - Review best practices for how IT teams can support their data science teams - Hear how customers of MapR and DataScience.com have reaped the benefits of this new approach.

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Data is changing the world. Data is everywhere. Digital and business transformations are underway to harness the power of data. We believe that data is now a company’s most important asset. Businesses must use all data, while being nimble and agile to create new opportunities, products and services. A new generation of intelligent and modern apps are characterized by using data of all types, many processing engines, and being able to do analytics and applications, together, as the data happens. Last gen and even newer technologies cannot meet these new data demands. A unique and groundbreaking approach is needed which combines essential new technologies with one platform for all data that creates a data fabric for companies to build great new products. MapR Data Technologies, a visionary Silicon Valley based enterprise software company, has pioneered one platform for all data in every cloud. This approach is the industry’s first modern data system. At the core is the MapR Converged Data Platform that enables simultaneous analytics and applications as data happens so companies can create new, intelligent and modern apps to outperform the competition.