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Intro to using integrated analytics experiences on CDP with example use-case demo

Customer data and analytics can take many forms, from descriptive analytics on operational data to inferring customer sentiment based on real-time social media feeds. With a variety of analytical tools for streaming, operational and unstructured data, businesses are asking more questions of more data. Yet, deriving and operationalizing the best answers effectively can be a matter of connecting the dots across different analytical workflows and the different teams, from BI analysts to data scientists, that use them. 

In this webinar, we’ll explain how integrated analytics experiences on Cloudera Data Platform (CDP ) can help you:

  •  Connect the dots to efficiently deliver the right data and analytical outputs to the right systems at the right time, to operationalize insight effectively

  • Quickly stand up a data mart from multiple data sources and analytical workloads

  • Analyze data and then use machine learning for predictive analytics and streaming natural language processing

  • Enable a richer, data-driven business understanding of customer experience, what’s driving it, and what to do about it, in real-time.  

 

The webinar includes a live demo and Q&A with our expert panel.  We hope to see you there!

 

Speakers


Director of Product Marketing, Data Warehouse

David Dichmann

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David is responsible for product marketing for the Cloudera Data Warehouse. David has over 25 years experience in information architecture and enterprise architecture, turning data into information to help businesses and people make an informed decision. Before joining Cloudera, David has worked for companies like Sybase, SAP, and Hewlett Packard Enterprise. David has been published in industry magazines and is a regular speaker at industry events.

Director of Product Marketing Machine Learning

Bethann Noble

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Bethann is a Senior Director of Product Marketing at Cloudera, responsible for driving marketing and strategy initiatives in support of Cloudera Machine Learning solutions. Before recently joining Cloudera, Bethann held roles in Developer and Product Marketing, Technical Sales and Software Engineering at IBM, with several years of experience in High-Performance Computing and Big Data & Analytics technologies. She holds a bachelor’s degree in mathematics from the University of Texas at Austin.

Principal Solutions Engineer

Timothy Spann

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Tim Spann has over a decade of experience with data and Java programming. He has a BS and MS in Computer Science. He has been a Senior Solutions Architect at AirisData working with Spark and Machine Learning. Before that, he was a Senior Field Engineer for Pivotal. He blogs for DZone where he is the Big Data Zone Leader. He runs a popular meetup in Princeton on Big Data and Spark. He currently is a Field Engineer at Cloudera working with Apache Spark, Big Data, IoT, Machine Learning and Deep Learning.

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