Meeting Archive:
Applying Data Quality Best Practices at Big Data Scale


Meeting Description:

Global organizations are investing aggressively in data lake infrastructures in the pursuit of new, breakthrough business insights. At the same time, however, 2 out of 3 business executives are not highly confident in the accuracy and reliability of their own Big Data. Regaining that confidence requires utilizing proven data quality tools at Big Data scale.

In this webinar, discover how to ensure your data lake is a trusted source for advanced business insights that lead to new revenue, cost savings and competitiveness. You will have the opportunity to:

  • Compare your organization’s data lake “readiness” against initial findings from our upcoming annual Big Data Trends survey
  • Gain insight into where and how to leverage data quality best practices for Big Data use cases
  • Explore how a ‘Develop Once, Deploy Anywhere’ approach, including to native Big Data infrastructures such as Hadoop and Spark, facilitates consistent data quality patterns
Details
Date: Wed, Nov 8, 2017
Time: 11:00 AM EST
Duration: 1 hour
Host(s): Syncsort
 Presenter Information
Harald Smith, Director, Product Management
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Harald Smith is Director of Product Management at Trillium Software and co-author of Patterns of Information Management published by IBM Press.  Harald has a diverse career specializing in information quality, integration, and governance products with a focus on accelerating customer value and delivering innovative solutions.  He has written extensively on the integration, management, and use of information and has been issued 4 patents in this field.


Michael Urbonas, Director of Product Marketing, Data Quality
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Michael Urbonas, Director of Product Marketing for Trillium Software, is responsible for conveying the unique functionality and business value of the Trillium family of data quality solutions. Mike has over 15 years of software experience that includes business intelligence/data warehousing, data management/ETL, text analytics and enterprise search.