Displaying episodes 1 - 25 of 25 in total
Zach Wilson on what makes a great data engineer
How good you are at Spark or Flink ≠ how good you are at data engineering. After years of data engineering experience at Airbnb, Netflix, and Facebook, Zach Wilson is ...
How ZipRecruiter and Yotpo power self-service data platforms that work
Data engineers are not paid to do support. Liran Yogev, Director of Engineering at ZipRecruiter, and Doron Porat, Director of Infrastructure at Yotpo talk about buildi...
Data Observability with Millions of Users - Barr Moses
Barr Moses, CEO of Monte Carlo explains the difference between data quality and data observability, and how to make sure your data is accurate in a world where so many...
How Amplitude Engineers Process 5 Trillion Real-time Events
Weichen Wang, Senior Engineering Manager at Amplitude, came to meet the bros to talk about Amplitude's cutting-edge data stack and how it processes 5 Trillion real-tim...
Making Observability a Key Business Driver
80% of the code that you write doesn’t work on the first try. And that’s fine. But knowing which 80% is not working and which 20% is working is the actual challenge. A...
A ClickHouse Review from a Practitioner’s Point of View
Sudeep Kumar, Prinipal Engineer at Salesforce is a ClickHouse fan. He considers the shift to ClickHouse as one of his biggest accomplishments during his eBay days and ...
The Creator of Airflow About His Recipe for Smart Data-Driven Companies
According to Maxime Beauchemin, CEO & Founder at Preset and Creator of Apache Superset and Apache Airflow, building a thriving company is not so straight-forward. So h...
How Similarweb Delivers Customer Facing Analytics Over 100s of TBs
According to Yoav Shmaria, VP R&D Platform at Similarweb, the best way to manage data warehouse costs is tagging every table, database or ETL running to have good gran...
How Klarna Designed a New Data Platform in the Cloud
Klarna is one of the leading fintech companies in the world, valued at $45B. While many corporations are “stuck” on-prem, Klarna made the move and today is a cloud...
How Eventbrite is Modernizing its Data Stack
Archana Ganapathi, Head of Data & Analytics Engineering at Eventbrite, shares Eventbrite’s data stack modernization process, and how you get engineers to adopt new tec...
A Deep Dive into Slack's Data Architecture
Growing from a startup to an IPOed and then an acquired company meant that Slack’s sales org was scaling rapidly. Apun Hiran, Slack’s Director of Software Engineerin...
Transitioning Scopely’s 5.5 PB Data Platform to the Modern Data Stack
Should data engineering AND BI be handled by the same people? According to Jonathan Palmer, VP Data Platform at Scopely – YES. By Analytics Engineers. His team of ...
Getting rid of raw data with Jens Larsson
Why would you create ugly data? According to Jens Larsson, don’t even go near raw data. Jens started off at Google, continued to manage data science at Spotify, caught...
How Zendesk engineers manage customer-facing data applications
This time on the data engineering show, Eldad abandoned his brother Boaz but it’s ok because Boaz got the full 30 minutes to talk to one of the most interesting people...
How are those data intensive customer facing apps engineered at Gong?
Gong manages hundreds of thousands of videoconferences and millions of emails PER DAY, which add up to hundreds of TBs. The Data Bros met Yarin Benado, Gong’s engi...
How Bolt Engineers Are Designing Its Next-Gen Data Platform
Bolt's ride-hailing app serves over 75M users in Europe and Africa and handles 500K queries every day. Erik Heintare along with Bolt's engineering team is in the m...
How did Agoda scale its data platform to support 1.5T events per day?
Scaling a data platform to support 1.5T events per day requires complicated technical migrations and alignment between hundreds of engineers. What to see how Agoda did...
Diving Into GitHub's Data Stack
It’s the mother of all development projects. You use it daily. And so do 65M developers around the world. This time on the Data Engineering Show – A deep dive into Gi...
Building Data Products For Data Engineers
How does a tech stack that always needs to be at the forefront of technology look like? Roy Miara from Explorium talks about building data products for the audience...
How Vimeo Keeps Data Intact with 85B Events Per Month
How does the Viemo data team deal with 2 PBs of data and 85B events per month? What made them recently build a data ops team? What data tool does the team love? And wh...
How Substack's Data Stack Supports 500K Paying Subscribers
Substack is an amazing — if not the most amazing — content publishing platform out there. Essentially, it allows anyone to become a journalist or to start their own ne...
A Technical Deep Dive to Yelp's Data Infrastructure - With Steven Moy
As an expert in query engines and performance-related challenges, Steven Moy explains how Yelp handled its huge data growth in the past ten years. Guest: Steven Mo...
How Canva's Data Engineers and Analysts Support 55M Active Users
Canva is one of the hottest, if not the hottest, graphic design platforms out there. Only a week ago it was announced that they reached a staggering 16 Billion dollar ...
How AppsFlyer Delivers Sub-Second BI to 1000 Looker Users - With Alexandra Sudilovsky
AppsFlyer has exploded in size, growing from a small company of 200 people to 1000 people in just three years. Dealing not only with a huge amount of data on a daily b...
The Data Engineering Show - Coming Soon...
The Data Engineering Show is a podcast for data engineering and BI practitioners to go beyond theory, and learn from the biggest influencers in tech about their practi...