Join TDWI biggest event of the year featuring four in-depth learning experiences: Leadership and Innovation, Analytics, Big Data, and Data Management, Jan 31-Feb 5 in Las Vegas. Use code KD16 to save.
The Best BI and Analytics Event of 2016: TDWI Las Vegas
Reserve your seat and join us at TDWI's biggest event of the year featuring four in-depth learning experiences: Leadership and Innovation, Analytics, Big Data, and Data Management, January 31–February 5!
Russell Glass Head of Products, LinkedIn Marketing Solutions
Doing Data Science Right: You Can't Find the Treasure without the Map
Deanne Larson President, Larson & Associates
FEATURED LEARNING EXPERIENCES
Our events feature end-to-end learning experiences designed to bring you from foundational concepts and best practices to hands-on skills and ideation, and ultimately put your knowledge to work back in the office.
In the Leadership & Innovation Experience, you will...
Learn how analytics and insight drive inspiration, imagination, and innovation
Understand the opportunities and challenges of integrating big data into your data, information, and business processes
Discover ways to resolve the apparent conflicts of governance and self-service, and more
In the Analytics Experience, you will...
Discover how to develop a successful analytics program built on a solid foundation of analytics fundamentals
Understand distinctions, roles, and purposes of descriptive, predictive, and prescriptive analytics
Be aware of emerging practices in advanced analytics, and more
In the Big Data Experience, you will...
Embrace the opportunities and step up to the challenges of big data
Develop strategies and architectures to integrate big data into your world
Learn the ins and outs of new technologies such as Hadoop and NoSQL, and more
In the Data Management Experience, you will...
Learn what makes an effective and successful data governance program
Discover how governance changes with agile projects, big data, and cloud technologies
Explore the range of data modeling skills needed to encompass data hubs, distributed data, structured data, unstructured data, big data, and more
