Modern Data Analytics in the Cloud: Achieving an End-to-End Strategy
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Thursday, March 21, 2019
Time: 10:00 a.m. PT, 1:00 p.m. ET
Alternate Date March 28 - 10:00 a.m. GMT
Businesses today need fast, scalable, and agile data and analytics, and cloud-based solutions are proving critical to satisfying these requirements. They enable organizations to rapidly and easily spin up systems and services for collecting, managing, and analyzing data. More important, cloud-based solutions deliver value from “data gravity”—the surging volumes of new data created in the cloud by social media, the IoT, multichannel customer behavior, and other activity.
However, executing a strategy for modern data analytics in the cloud isn’t easy. How do you integrate data collection, transformation, and management in the cloud for interactive data analytics and visualization? Will cloud-based data systems provide the levels of performance, concurrency, and availability you’ll need to satisfy all your users, from data scientists to line-of-business managers? How do they address data governance, security, and data privacy regulations?
In this webinar, we will discuss putting together a comprehensive strategy for modern data analytics in the cloud. We will discuss key issues in supporting today’s analytics workloads, including cloud data warehousing, data preparation and transformation, and visual data interactivity.
You will learn how to:
- Create an end-to-end strategy that aligns analytics with data management
- Plan for when and how to do data preparation and transformation, including ETL
- Determine whether you need a cloud-based data lake, data warehouse, or both
- Satisfy growing user demand for highly interactive visual analytics and business intelligence
- Meet scalability, concurrency, and performance demands
Product Marketing, Snowflake
Clarke Patterson is head of product marketing for Snowflake's core data warehouse product. Clarke is an industry veteran with experience leading teams at Confluent, Cloudera and Informatica. He holds a B.Sc. in Computer Science from The University of Calgary, and an MBA from Duke University.
Solution Architect, Matillion
David is a Solutions Architect with 20 years of software engineering and IT experience. Over his career, David has focused on creating organizational success through the judicious use of database technology, developing a deep understanding of software development, database architecture, and agile methodologies. David holds a Master's degree in Sociology from Colorado State University, where he focused his studies on quantitative research methodologies. David then became a market research assistant, but later taught himself SQL and turned to report development, ultimately switching to database administration, after his curiosity about server-side database technology got the best of him. David now helps customers succeed in their use of Matillion, providing data transformation for cloud data warehouses. David delivers product demonstrations, assists customers with pre- and post-sales support requests, creates digital content, and represents Matillion at industry conferences.
Chief Data Evangelist, Looker
Daniel Mintz is the Chief Data Evangelist at Looker. Previously, he was Head of Data & Analytics at a fast-growing media startup Upworthy and before that he was Director of Analytics at political powerhouse MoveOn.org. Throughout his career, Daniel has focused on how people interact with data in their everyday lives and how they can use it to get better at what they do.