By using website you agree to our use of cookies as described in our cookie policy. Learn More


Available On-Demand - This webinar has been recorded and is now available for download.

Real-Time Data Integration into the Lakehouse

Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics

Date: Tuesday, July 11, 2023

Time: 9:00 a.m. PT / 12:00 p.m. ET

Generative AI has taken the world by storm. Thousands of companies are making a huge technological shift by utilizing the latest developments in large language models (LLMs) for real-world use cases. Success with LLMs, as well as analytics and machine learning models, depends on timely, high-quality data. The need to sync data between different systems to produce real-time, governed data sets and collaborate on a single system has never been greater.

This has driven many organizations to move to modern platforms such as cloud data lakehouses that unify an organization’s data on one platform and keep it governed and available for analytics and AI. However, real-time data integration can be complex to implement and manage due to technical challenges around the volume, velocity, and diversity of source data, especially from legacy systems and mainframes. Often, organizations don’t have the data set needed for a use case, or it is not up to date on the platform needed. To solve this, organizations are deploying highly automated, no-code pipelines to support real-time data integration into the data lakehouse.

Join TDWI’s VP of Research, Fern Halper, and industry experts for a discussion about what is needed for real-time data integration on the lakehouse. The session will also include a live demo with experts from Databricks and Qlik. Topics include:

  • The need for real-time data integration in the data lakehouse
  • Building real-time data pipelines—the automation imperative
  • Features of automated, no-code data pipelines
  • Governing real-time data in the data lakehouse

Guest Speakers

Bala Amavasai
Global Technical Director for Manufacturing and Logistics

Bala Amavasai is a global technical director for manufacturing and logistics at Databricks and is responsible for the technical strategy, accelerators, and applications. Past roles include head of AI at Stanley Black & Decker. He holds a Ph.D. in machine learning from the University of Sheffield, UK. He is currently chair of the IEEE SMC for the UK and Ireland section and serves as an industry adviser in the Engineering and Physical Science Research Council.

Anand Rao
Product Marketing Director

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.

Clever Anjos
Principal Solution Architect

Clever Anjos is a principal solution architect in Qlik's Partner Engineering team. With over 15 years of experience in the Qlik Ecosystem as a partner and customer, he joined Qlik 5 years ago. Currently, he closely collaborates with Databricks to enhance the partnership, focusing on identifying best practices and exploring new ways to improve their relationship.

Fern Halper, Ph.D.

Your e-mail address is used to communicate with you about your registration, related products and services, and offers from select vendors. Refer to our Privacy Policy for additional information.

TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.