DataOps

Datacast Episode 114: Building Data Products and Unlocking Data Insights with Carlos Aguilar

Datacast Episode 114: Building Data Products and Unlocking Data Insights with Carlos Aguilar

Carlos Aguilar is the Founder and CEO of Glean, a data visualization company based in New York City.

He grew up in Washington, DC, where he started tinkering with robots and websites early on and fell in love with the intersection of art and technology. At Cornell, he studied Mechanical Engineering and robotics and did research in machine learning applications in robotics and art. In 2009, he joined an early robotics startup called Kiva Systems, where he got deep into data and analytics.

After Kiva was acquired by Amazon, Carlos joined Flatiron Health and worked on data products to help cancer centers and cancer researchers. As the head of the Data Insights team, Carlos grew the team to 25 people who helped launch dozens of data products and supported Flatiron's core data infrastructure.

Datacast Episode 95: Open-Source DataOps, Building In Public, and Remote Work Culture with Douwe Maan

Datacast Episode 95: Open-Source DataOps, Building In Public, and Remote Work Culture with Douwe Maan

Douwe Maan is the founder and CEO of Meltano, an open-source DataOps platform. Before joining Meltano, he was hired as the tenth employee at GitLab, later becoming an Engineering Manager. While at GitLab, he spent six months traveling the world, visiting colleagues in 14 different countries. In 2019, he joined the internal Meltano project at GitLab and quickly became its General Manager. In early 2021, Douwe led Meltano in spinning out of GitLab to become an independent startup, raising seed funding from investors led by Alphabet's GV.

What I Learned From DataOps Unleashed 2022

What I Learned From DataOps Unleashed 2022

Earlier this month, I attended the second iteration of DataOps Unleashed, a great event that examines the emergence of DataOps, CloudOps, AIOps, and other professionals coming together to share the latest trends and best practices for running, managing, and monitoring data pipelines and data-intensive analytics workloads.

In this long-form blog recap, I will dissect 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 reduce costs with their data pipelines. If interested, you should also check out my recap of DataOps Unleashed 2021 last year.

Datacast Episode 76: Modern Data Collaboration and Social Entrepreneurship with Prukalpa Sankar

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.

Datacast Episode 73: Datasets for Software 2.0 with Taivo Pungas

Datacast Episode 73: Datasets for Software 2.0 with Taivo Pungas

Taivo Pungas is a tech entrepreneur working on a stealth-mode startup. Previously, he built the AI team at Veriff from scratch to 20+ people and contributed to various ML/data roles at Starship and other Estonian startups. On the side, he advises startups and writes a blog at taivo.ai.

What I Learned From Attending DataOps Unleashed 2021

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.