Journey to the Cloud: Data Strategies for Success
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Thursday, April 29, 2021
Time: 9:00 a.m. PT, 12:00 p.m. ET
In order to remain competitive and to grow, organizations often want to manage and analyze large volumes of diverse and disparate data. This effort often involves a move to the cloud. TDWI research indicates that cloud platforms such as cloud data warehouses and data lakes are becoming more mainstream. Hybrid and multicloud environments are becoming the norm.
Yet, organizations often face challenges as they start to move their data into the cloud. These include issues with data chaos, data integration, data frequency, data quality, legacy data, and data governance. These issues can impede an organization’s ability to build data pipelines and make use of the cloud for data management and analytics.
What does it take to enable an organization to build successful data pipelines for the cloud? Join TDWI, Talend, and TEKsystems Global Services for an informative webinar focused on the data journey to the cloud.
You will learn about:
- Data challenges organizations face as they move to the cloud for data management
- What’s involved in building modern data pipelines
- Tools to enable the modern data pipeline
Director, Product Marketing
Jason has close to 20 years of experience in technology product marketing, both in hardware and software, and focuses conveying the value of Talend’s unified data integration, quality and governance solution to business and technology leaders. In addition to Talend, Jason’s experience includes product marketing roles with Fortune 500 leaders – Dell and EMC, several successful software start-ups, and as an analyst with Gartner Group.
Principal Architect, Data Analytics & Insights
TEKsystems Global Services
With more than 40 years of combined experience in aerospace, IT and environmental consulting and communications service provider industries, Daniel Lavender is an experienced leader of technical development and operations. His experience spans data science, architecture, software engineering and development. He helps organizations apply engineering principals and mathematics to build environments that efficiently leverage data to solve business problems.
Fern Halper, Ph.D.