Thursday, May 26, 2022

Track 1: Use Cases Track 2: Data Engineering Track 3: Data Architecture

8:00 am

Track 1: Use Cases
8:00 am → 15 min

Welcome and Opening Remarks

8:15 am

Track 1: Use Cases
8:15 am → 30 min

Fireside Chat: Thomas Kurian and Scott Jones

8:45 am

Track 1: Use Cases
8:45 am → 30 min

Technical Keynote: When One Size Does Not Fit All: General Purpose vs. Purpose-Built Data Pipelines

9:15 am

Track 1: Use Cases
9:15 am → 15 min

Break

9:30 am

Track 1: Use Cases
9:30 am → 30 min

What Does it Take to Modernize Your Operational Reporting Platform?

Track 2: Data Engineering
9:30 am → 30 min

Tag You're It! Easily Leverage Metadata Tags Throughout the Workflow

Track 3: Data Architecture
9:30 am → 30 min

Activating Metadata to Manage Data Pipeline Chaos

10:00 am

Track 1: Use Cases
10:00 am → 30 min

Object Compaction in Cloud for High Yield

Track 2: Data Engineering
10:00 am → 30 min

A Productive Pipeline: A Focus on Developer Productivity Engineering

Track 3: Data Architecture
10:00 am → 30 min

Data Mesh: From Concept to Code

10:30 am

Track 1: Use Cases
10:30 am → 5 min

Reinventing Business Intelligence for the Next Decade

Track 2: Data Engineering
10:30 am → 5 min

Spark Your Data Strategy with Scalable Machine Learning

Track 3: Data Architecture
10:30 am → 5 min

Can Data Mesh Help Fix Your Data Mess?

10:35 am

Track 1: Use Cases
10:35 am → 5 min

Data strategy While Migrating Your On-Prem Oracle ERP to Fusion Cloud

Track 2: Data Engineering
10:35 am → 5 min

How to Build A Data Platform in 90 Seconds

Track 3: Data Architecture
10:35 am → 5 min

Why Bronze is the New Gold — A Paradigm Shift in Analytics

10:40 am

Track 1: Use Cases
10:40 am → 5 min

Automation and Analytics for Supply Chain

Track 2: Data Engineering
10:40 am → 5 min

Liberate your Data with Delta Sharing

Track 3: Data Architecture
10:40 am → 5 min

Digital Transformation in the new age - Modern Analytics

10:45 am

Track 1: Use Cases
10:45 am → 15 min

Break

11:00 am

Track 1: Use Cases
11:00 am → 30 min

Building a Pipeline for Near Real Time Reporting at Comcast

Track 2: Data Engineering
11:00 am → 30 min

Delivering Reliable Services in a Multi-Cloud World

Track 3: Data Architecture
11:00 am → 30 min

Pipelines in Practice: How Practitioners Operate using the Modern Data Stack

11:30 am

Track 1: Use Cases
11:30 am → 30 min

Data Engineering in Advanced TV: Tapping into the Rich, Deterministic Viewership & Cross-Device Data

Track 2: Data Engineering
11:30 am → 30 min

What Data Engineers Should Know About Building Real-Time Data Pipelines

Track 3: Data Architecture
11:30 am → 30 min

From Data Mess to Data Mesh: Building Data-as-a-Product

12:00 pm

Track 1: Use Cases
12:00 pm → 30 min

Scaling Up Apache Airflow to Enterprise Level – And How to Avoid Mistakes

Track 2: Data Engineering
12:00 pm → 30 min

Real-Time Analytics: Going Beyond Stream Processing with Apache Pinot

Track 3: Data Architecture
12:00 pm → 30 min

Reimagining and Optimizing Data Operations to Drive Evergreen Business Value

12:30 pm

Track 1: Use Cases
12:30 pm → 15 min

Break

12:45 pm

Track 1: Use Cases
12:45 pm → 30 min

Keynote: Fireside Chat with Rohan Kumar

1:15 pm

Track 1: Use Cases
1:15 pm → 30 min

Closing Keynote: Deliberate Data Engineering - New Solutions to Notorious Data Challenges

1:45 pm

Track 1: Use Cases
1:45 pm → 15 min

Wrap-Up and Closing Remarks

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