Salma Bakouk is the CEO and co-founder of Sifflet, a Full Data Stack Observability platform. Before Sifflet, Salma was an Executive Director at Goldman Sachs in Sales & Trading in Asia, leading key Data & Analytics initiatives. Salma holds an Engineering Degree from École Centrale Paris in Applied Mathematics and a Master's in Statistics and Data Science.
Datacast Episode 94: Modern Metadata Management, Open-Source Adoption, and Early-Stage Culture with Mars Lan
Mars Lan is the co-founder and CTO of Metaphor Data, a startup that offers a Modern Metadata Platform to solve many complex organizational data challenges, such as data discovery and data governance. He also co-created the popular open-source project DataHub while working as the Tech Lead of the metadata team at LinkedIn. Mars received his Ph.D. in Computer Science from the University of California, Los Angeles.
Datacast Episode 85: Ad Exchange, Stream Processing, and Data Discovery with Shinji Kim
Shinji Kim is the Founder & CEO of Select Star, an intelligent data discovery platform that helps you understand your data. Previously, she was the CEO of Concord Systems, an NYC-based data infrastructure startup acquired by Akamai Technologies in 2016. She led the development of Akamai’s Internet-of-Things data platform for real-time messaging, log processing, and edge computing.
Prior to Concord, Shinji was the first Product Manager hired at Yieldmo, where she led the Ad Format Lab, A/B testing, and yield optimization. Before Yieldmo, she analyzed data and built enterprise applications at Deloitte Consulting, Facebook, Sun Microsystems, and Barclays Capital.
Shinji studied Software Engineering at the University of Waterloo and General Management at Stanford GSB. She also advises early-stage startups on product strategy, customer development, and company building.
Datacast Episode 76: Modern Data Collaboration and Social Entrepreneurship with Prukalpa Sankar
Prukalpa Sankar is the Co-founder of Atlan. Atlan is a modern data collaboration workspace (like Github for engineering or Figma for design). By acting as a virtual hub for data assets ranging from tables and dashboards to models & code, Atlan enables teams to create a single source of truth for all their data assets and collaborate across the modern data stack through deep integrations with tools like Slack, BI tools, data science tools and more. As a pioneer in the space, Atlan was recognized by Gartner as a Cool Vendor in DataOps, as one of the top 3 companies globally.
Prukalpa previously co-founded SocialCops, a world-leading data-for-good company recognized as a New York Times Global Visionary and a World Economic Forum Tech Pioneer. SocialCops is behind landmark data projects, including India’s National Data Platform and SDGs global monitoring in collaboration with the United Nations.
Prukalpa was awarded the Economic Times Emerging Entrepreneur for the Year and recognized in multiple lists such as Forbes 30u30, Fortune 40u40, and Top 10 CNBC Young Business Women 2016.
What I Learned From Attending DataOps Unleashed 2021
Last week, I attended DataOps Unleashed, a great event that examines the emergence of DataOps, CloudOps, AIOps, and other professionals coming together to aggregate conversations around the latest trends and best practices for running, managing, and monitoring data pipelines.
This long-form blog recap dissects content from the session talks that I found most useful from attending the summit. These talks are from DataOps professionals at leading organizations detailing how they establish data predictability, increase reliability, and create economic efficiencies with their data pipelines.