Mastering Real-time Processing While Effectively Scaling Data Quality with Lambda or Kappa Architecture

Abstract: 

In a world that creates 2.5 quintillion bytes of data every day, auditing data at scale becomes a challenge of unprecedented magnitude. ‘Mastering Real-time Processing while effectively scaling Data Quality with Lambda or Kappa Architecture’ provides a deep-dive into powerful methodologies, revealing design patterns that turn this challenge into an opportunity for businesses. Join us as we navigate the complexities of data audits and discover how leveraging these techniques can drive efficiency, reduce latency, and deliver actionable insights from your data - at any scale.

Bio: 

Sreyashi is a Senior Data Engineer at Netflix. She loves building data workflows that enable operations research and empower the efficient production of amazing content. Her core expertise lies in the design and implementation of both streaming and batch data movement, as well as in crafting analytical solutions.

At Netflix, she has developed new data products that provide the foundation for metric development and analytical insights for the Studio and Creative Production team. These products contribute to data health, launch timeliness, resource availability, and cost optimization. She has also designed the second generation data processing platform for the animation team.

Prior to her role at Netflix, her expertise was primarily in data warehousing and self-serve business intelligence. She is passionate about creating high-quality data models.

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from - Youtube
Vimeo
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google