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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 building resilient self-service products that keep customers happy and engineers calm.
They walked the bros through their data stacks and explained how ZipRecruiter is completely rebuilding its data layer from scratch.
The Data Engineering Show is brought to you by firebolt.io and handcrafted by our friends over at: fame.soBarr 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 different teams are accessing it.
The Data Engineering Show is brought to you by firebolt.io and handcrafted by our friends over at: fame.soWeichen 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-time events while dealing with mutable data and massive scale.
The Data Engineering Show is brought to you by firebolt.io and handcrafted by our friends over at: fame.soSudeep Kumar, Principal Engineer at Salesforce is a ClickHouse fan. He considers the shift to Clickhouse as one of his biggest accomplishments during his eBay days and walks Boaz through his experience with the platform. How on one hand it handled 2B events per minute, but also how it required rollups which compromised granularity when extending time windows.
Besides a ClickHouse review from a practitioner’s point of view, Sudeep tells us about interesting use-cases he’s working on at Salesforce.
The Data Engineering Show is brought to you by firebolt.io and handcrafted by our friends over at: fame.soAccording to Maxime Beauchemin, CEO & Founder at Preset and Creator of Apache Superset and Apache Airflow, it's not so straight-forward to understand what you're really getting into and the vastness of the skills that are required in order to build a thriving company.
Picking the right system and services is key for a successful start, and can help you avoid the chaos of having too many tools spread across multiple teams.
Plus, Max walks the bros through the genesis of Airflow, Superset & Presto, and Airflow's old school marketing approach that won the hearts of developers across the world. And just like the terminator, once the machine takes over, you can't stop.
The Data Engineering Show is brought to you by firebolt.io and handcrafted by our friends over at: fame.soAccording to Yoav Shmaria, VP R&D Platform at Similarweb, the best way to manage data warehouse costs is to tag every table, database or ETL running to have good granularity over every feature.
Besides handy cost management tips, Yoav walks the bros through the tech stack he implemented to analyze 100s of TBs of web data to serve fast customer-facing analytics.
Full disclosure, Similarweb is a Firebolt customer, but the bros kept it objective, and there’s no Firebolt talk in this episode.
According to Yoav Shmaria, VP R&D Platform at Similarweb, the best way to manage data warehouse costs is to tag every table, database or ETL running to have good granularity over every feature.
Besides handy cost management tips, Yoav walks the bros through the tech stack he implemented to analyze 100s of TBs of web data to serve fast customer-facing analytics.
Full disclosure, Similarweb is a Firebolt customer, but the bros kept it objective, and there’s no Firebolt talk in this episode.
The Data Engineering Show is brought to you by firebolt.io and handcrafted by our friends over at: fame.soKlarna 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-only company. Gunnar Tangring, Klarna’s Lead Data Engineer tells Boaz what this new modernized stack looks like.
The Data Engineering Show is brought to you by firebolt.io and handcrafted by our friends over at: fame.soArchana shares Eventbrite’s data stack modernization process, and how you get engineers to adopt new technologies like dbt which may be outside their comfort zone.
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