Where I express personal thoughts in words
Diana Hsieh is the Head of Product and Co-Founder at Correlated. She thrives on working with enterprise software startups. She was previously the first PM at infrastructure startups, including Cockroach Labs and Timescale. Before that, she was a VC at Norwest, focused on investing in early-stage enterprise software companies. Diana is always on the hunt for her next favorite coffee shop on weekends.
Alexa Grabell is the co-founder and CEO of Pocus, a Revenue Data platform that is purpose-built for GTM teams to analyze, visualize, and action data about their prospects and customers without needing engineers.
Alexa’s passion for Product-Led Sales started when she led sales strategy & operations at Dataminr, where she built internal solutions to equip sales teams with data. She studied engineering at Vanderbilt University and received her MBA from Stanford University.
Shruti Bhat leads product management and marketing at Rockset. Before Rockset, she led Product Management for Oracle Cloud, focusing on AI, IoT, and Blockchain. Previously, she was the VP of Marketing at Ravello Systems, where she drove the start-up's rapid growth from pre-launch to hundreds of customers and a successful acquisition. Before that, she was responsible for launching VMware's vSAN and led engineering teams at HP and IBM. Shruti has a bachelor's in computer science engineering and an MBA from UCLA Anderson.
Astasia Myers is a Partner on Quiet Capital's enterprise team leading investments in ML, data infrastructure, open-source, developer tools, and security. She focuses on pre-seed, seed, and Series A.
Prior to joining Quiet, Astasia was an investor in Redpoint's early-stage enterprise team, where she partnered with Dremio, LaunchDarkly, Solo.io, Preset, Hex, Cyral, among others. Before that, she worked at Cisco Investments, where she focused on cloud-infrastructure M&A and investments, including Cohesity, Datos IO, Elastifile, Guardicore, Springpath, and the funding of internal stealth projects.
Kashish Gupta is the founder and co-CEO of Hightouch, a data startup based out of San Francisco. He grew up in Atlanta, loves playing racket sports, and always wanted to be an inventor when he grew up. He studied Machine Learning in college and had a short stint at a VC firm called Bessemer Venture Partners, and ever since graduating has been working on Startups. He and his co-founders are on their 5th business idea and have finally found a product-market fit.
Back in September 2021, I attended the second annual Modern Data Stack Conference, Fivetran’s community-focused event that brings together hundreds of data analysts, data engineers, and data leaders to share the impact and experiences of next-generation analytics. The presenters shared the transformations they experienced with their analytics teams, the new insights and tooling they enabled, and the best practices they employ to drive insights across their organizations.
In this long-form blog recap, I will dissect content from 14 sessions that I found most useful from the conference. These talks are broken down into 4 categories tailored to 4 personas: data engineers, data analysts, product managers, and data team leads. Let’s dive in!
