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In regards to the Webinar
With the explosive progress of DataOps to drive quicker and extra assured enterprise selections, proactively understanding the standard and well being of your knowledge is extra necessary than ever. Knowledge observability is an rising self-discipline inside knowledge high quality used to reveal anomalies in knowledge by constantly monitoring and testing knowledge utilizing synthetic intelligence and machine studying to set off alerts when points are found.
Be part of Julie Skeen and Shalaish Koul from Exactly, to learn the way knowledge observability can be utilized as a part of a DataOps technique to enhance knowledge high quality and reliability and to stop knowledge points from wreaking havoc in your analytics and be certain that your group can confidently depend on the information used for superior analytics and enterprise intelligence.
Subjects you’ll hear addressed on this webinar:
- Knowledge observability – what’s it and the way it can complement your knowledge high quality technique
- Why now’s the time to include knowledge observability into your DataOps technique
- How knowledge observability helps stop knowledge points from impacting downstream analytics
- Examples of how knowledge observability can be utilized to stop real-world points
In regards to the Speakers
Julie Skeen
Sr. Product Advertising Supervisor, Exactly
Julie Skeen is a Sr. Product Advertising Supervisor with Exactly. She has over 25 years of expertise engaged on options for purchasers in data-intensive industries. She focuses on understanding buyer wants and guaranteeing Exactly’s knowledge high quality and knowledge observability options are aligned with these wants.
Michael Sisolak
Principal Gross sales Engineer, Exactly
Michael is a Pre-Gross sales Guide for Exactly and has been working the within the knowledge administration area for over 20 years. He focuses on Knowledge High quality, Knowledge Governance, Knowledge Integration, and Massive Knowledge.
