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Data Observability
Managing Data Quality and Pipelines in the Cloud Era

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AUGUST 25, 2022 11:30 AM ET

The emerging discipline of observability seeks to help business and IT leaders understand all the moving pieces. It monitors indicators, correlates them, identifies issues, assesses root causes, generates alerts, and remediates issues. But how do you extract just the right signals from all that noise? And how many tools do you need?

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ABOUT CDO TECHVENT

An innovative, half-day, virtual event for chief data officers and team leaders that provides practical advice for selecting and implementing key data technologies.

The NEW Way Data Leaders Evaluate Data Tools

CDO TechVent Helps CDOs:

  • Understand the trends driving key data technologies

  • Accelerate the evaluation and selection of new products

  • Understand key differences among products

  • Identify which products are best suited to their organization

  • Understand best practices for implementing products

  • Evaluate products side-by-side in a virtual bake-off

 
 

Event Schedule

Event begins August 25, 2022 11:30 AM ET

11:30 AM

Keynote: "Data Observability Products and Best Practices"
Presenters: Kevin Petrie, Laura Sebastian-Coleman

12:30 PM

Technology Panel: "How to Evaluate and Select a Data Observability Platform"

1:15 PM

Breakout Rooms 
Deep dive topics and speakers

1:15 PM

Vendor Rooms 
Product Demos, 1:1 Conversations, Resource Links

2:15 PM

Wrap Up: "Key Takeaways and Recommendations"

Event Speakers

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Event Sponsors

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Acceldata has developed the world's first enterprise Data Observability Cloud to help enterprises transform their data systems from unreliable, hard-to-scale, and expensive to stable, agile, and cost efficient. Going beyond simple monitoring, Acceldata uniquely observes data processing, data, and data pipelines to deliver a single, tech-agnostic source for actionable insight and analytics. Acceldata's unique cloud solution Acceldata's products have been embraced by global customers, such as Oracle, PubMatic, PhonePe (Walmart), Pratt & Whitney, DBS, and many more.

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Bigeye is the data reliability engineering platform that helps data teams build trust in data. Data teams use Bigeye to automate their data observability, detect anomalies, accelerate root cause analysis, and build trust in the data. Bigeye deploys in under 15 minutes and enables teams to continuously monitor over 50 data quality attributes, define custom monitoring, and proactively detect and resolve issues, all with a SOC2 compliant and low-impact platform that never copies or exports their data.

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Databand, an IBM Company, is the only proactive data observability
platform that helps modern data engineering teams deliver more reliable and trustworthy data. Databand removes data surprises like broken pipelines, missing data, and schema changes by detecting and resolving them before they create costly business impacts. Unlike other observability solutions that only monitor data-at-rest when it arrives at the warehouse, Databand provides the only
proactive data observability platform that ties directly into all stages of your data pipelines, beginning with your source data.

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FirstEigen was founded in 2015, by Seth Rao. We are a team of Data Scientists and Data Governance professionals. Our team has had experience in resolving Data Integrity issues at major corporations like AmEx, Travelers, Anthem, Citibank, UBS, Bank of America, Merrill Lynch, J.P. Morgan Chase, Progressive, Cigna, Humana, Blue Cross Blue Shield (IL, MI), etc. Leveraging our experience we created a tool, DataBuck, to validate Data Quality and Data Integrity for data in the 10’s to 100’s of GB’s in minutes. DataBuck can even handle petabytes of data without scaling issues.

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Unravel’s DataOps observability platform enables your data teams to intelligently optimize, automatically troubleshoot and proactively control costs of data pipelines and applications. Designed for modern data stacks, Unravel captures, correlates, and analyzes the granular insights you need to maximize business value from data.

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