The Who, What, When, Where, and Why of Modern Data Transformation
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Wednesday, March 8, 2023
Time: 9:00 a.m. PT, 12:00 p.m. ET
Today’s organizations are collecting more data than ever. TDWI research indicates that organizations are collecting 100s of terabytes and even petabytes of data. Much of this is moving to cloud platforms. The increasing volume, diversity, and complexity of data is putting pressure on organizations to rethink traditional methods of preparing data for reporting, analysis, sharing, and use.
Data transformation is often overlooked as the critical step in the data integration process, which involves bringing together data from various sources and making it available for analysis and reporting. Enterprise data transformation can include converting data from one format or structure to another, joining data, enriching data, and shaping and flattening data; this can take time to execute—especially using manual processes. In fact, in many organizations, the biggest overall complaint about data transformation is that it takes too much time.
How should organizations modernize their data transformation processes? Join this TDWI webinar to learn more about the who, what, when, where, and why of modern data transformation.
Topics include:
- An overview of the data preparation and transformation process
- Challenges and trends in data preparation and transformation
- Operationalizing sophisticated data transformations
- Best practices for modern data transformation
Guest Speakers
Anand Rao
Product Marketing Director
Qlik
At Qlik, Anand Rao is a product marketing director for Qlik Data Integration. Anand has 20+ years of experience in data management, working at Informatica, Hitachi (Pentaho), IBM, and Embarcadero. Before his marketing roles, Anand worked as an engineer to develop leading-edge data integration software. Anand lives near San Francisco and relishes technology innovation.
Keith Smith
Senior Partner Sales Engineer
Snowflake
Keith Smith, a senior partner sales engineer at Snowflake, has been blending business data with cutting-edge processes and technology for the past 20 years.
He is focused on helping Snowflake Technology Partners integrate their solutions with Snowflake, so customers can easily get data into Snowflake and insights out of Snowflake by creating a single copy of data for their cloud data analytics strategy.
In addition to Snowflake, he has extensive experience with several of the leading business intelligence and data integration software vendors and was a 2013 Qlik Luminary.
Fern Halper, Ph.D.