Driving Data Quality at Scale with High-Performance Observability
Webinar Speaker: James Kobielus, Senior Research Director for Data Management
Date: Thursday, October 24, 2024
Time: 9:00 a.m. PT / 12:00 p.m. ET
Enterprises run on high-quality data. In addition to using business intelligence tools to make smarter decisions, organizations everywhere are using data-driven applications such as advanced analytics and artificial intelligence to automate business processes, achieve greater efficiencies, and build innovative products and services.
Maintaining high-quality data is a top imperative for modern enterprises. In today’s dynamic business environment, this requires that organizations unite diverse data into a single source of truth that both people and AI can understand. Organizations must continue to scale, accelerate, and automate data quality management processes—and implement these processes on an extensible cloud ecosystem that can evolve to support the complexity of modern IT infrastructures. Data observability is required for quickly preventing, detecting, and fixing data issues at scale.
In this webinar, TDWI senior research director James Kobielus will discuss the value of observability, lineage analysis, and other tools for driving data quality at scale in the cloud. He will be joined by Michael Segner, technical product marketing manager of Monte Carlo, and Raghu Kuppa, Redshift specialist solutions architect at Amazon Web Services, in a panel in which they will discuss:
- What is the role of data observability in the modern enterprise cloud data environment?
- How can enterprises leverage observability, lineage, and operational business intelligence to determine which data matters most?
- How can enterprises use observability to monitor data quality metrics and measure improvements over time?
- How do observability tools enable enterprises to understand the root causes of data quality problems?
- How can data teams leverage these tools to reduce the time spent resolving data issues?
Guest Speakers
Raghu Kuppala
Analytics Specialist Solution Architect
AWS
Raghu is part of the analytics specialist solution architect group primarily focusing on Amazon Redshift. He has over 15 years of experience in building and managing analytics and BI platforms on MPP data warehouses.
Michael Segner
Product Marketing Manager
Monte Carlo
Michael Segner leads product marketing at Monte Carlo, a data observability platform that ensures data reliability by monitoring freshness, distribution, volume, and schema changes in real-time and alerting stakeholders to incidents.
Prior to Monte Carlo, he led public relations and demand generation at AvePoint, securing top-tier media coverage for major announcements. He also managed PR strategy at Sage Communications for clients like AWS Public Sector and SAIC.
James Kobielus