Available On-demand
Data Streaming in Action: Real-World Use-Cases featuring Forrester and Albertsons
In a recent survey of 2,250 IT and engineering leaders, data streaming was highlighted as a top priority in their overall IT investments by 88% of the respondents. But what’s really driving this growth?
Join us to hear from guest speakers, Forrester VP and principal analyst Mike Gualtieri and Albertsons Senior Director of Omni-Channel Architecture Nitin Saksena, about the market trends driving the adoption of data streaming and its use-cases, and the key capabilities organizations need to look for in a vendor. You’ll also hear a real-world streaming success story from retail giant Albertsons. You'll learn how Albertsons switched from legacy message queues to a data streaming platform, which allowed them to build streaming pipelines that helped:
- Distribute offers and customer coupons to each store in real time
- Feed real-time data to analytics engines for forecasting
- Ingest transactions in near real time to the data lakehouse to generate real-time dashboards
발표자
Nitin Saksena
Albertsons At Albertsons, Nitin leads the Enterprise Architecture Team across eCommerce, Digital Shopping Experience, Marketing and Media Collective, Merchandising and Pharmacy. He has 19+ years of experience in industry predominantly in Retail. Nitin has architected several key initiatives in Loyalty, Offer Execution and Redemption, Order Management and Customer Support. His area of interest is to solve complex business problems with simple solutions.
발표자
Mike Gualtieri
ForresterMike's research focuses on AI technologies, platforms, and practices that enable technology professionals to deliver applications that lead to prescient digital experiences and breakthrough operational efficiency. His key technology coverage areas are AI and emerging technologies that make software faster, smarter, and transformative for global enterprises and organizations.
발표자
Bharath Chari
Confluent발표자
Ram Dhakne
ConfluentRam works as a Staff Solutions Engineer at Confluent. He has a wide array of experience in NoSQL databases, Filesystems, Distributed Systems and Apache Kafka. His current interests are in helping customers adopt realtime event streaming technologies using Kafka. He supports various industry verticals ranging from large retailers, healthcare, telecom, and utilities companies towards their digital modernization journey.