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The Data Bros
The Data Engineering ShowEpisodes
The Data Bros
The Data Engineering Show
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Episodes of The Data Engineering Show
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Too often expensive resources and manhours are spent on dashboards no one uses, resulting in zero ROI. Philip Philip Zelitchenko, VP of Data & Analytics at ZoomInfo met the bros to talk about adopting product management principles to ensure dat
Matthew Weingarten, Lead Data Engineer at Disney Streaming, talks about principles essential for data quality, cost optimization, debugging, and data modeling, as adopted by the world's leading companies.
Matthew Weingarten, Lead Data Engineer at Disney Streaming, talks about principles essential for data quality, cost optimization, debugging, and data modeling, as adopted by the world's leading companies.
Data engineering should be less about the stack and more about best practices. While tools may change, foundational principles will remain constant. Joseph Mercado, Senior Data Engineer at LinkedIn, is on The Data Engineering Show to talk about
Joe Hellerstein is the Jim Gray Professor of Computer Science at Berkeley and Joseph Gonzalez is an Associate Professor in the Electrical Engineering and Computer Science department. They’ve inspired generations of database enthusiasts (includi
There are two types of data influencers on LinkedIn:1. Those who talk directly about the products and companies they work for2. Those that provide more general guidance, tips and opinions Can influencers actually be passionate about the product
Every data team should have at least one data engineer with a software engineering background. This time on The Data Engineering Show, Xiaoxu Gao is an inspiring Python and data engineering expert with 10.6K followers on Medium. She’s a data en
Vin Vashista, the guy we all love to follow, has never seen a dashboard with positive ROI. This time on The Data Engineering Show, he met the bros to talk about the difference between BI dashboards and analytics that actually introduce knowledg
After co-writing the best-selling book ‘Fundamentals of Data Engineering’, Joe Reis and Matt Housely joined the bros for some much-needed ranting, priceless data advice, and good laughs. So why are we still talking about providing business valu
As people in the data industry go, Bill Inmon is among the top, often seen as the godfather of the data warehouse. In this Data Engineering Show episode, Bill Inmon talks about surviving rabbit holes throughout the evolution of data, the data m
As companies scale, data gets messy. The data team says one thing, the business team says something completely different. Meenal Iyer, VP Data at Momentive.ai, Met the Data Bros to talk about enforcing collaboration in large organizations to en
As companies scale, data can get messy. The data team says one thing, the business team says something else. Meenal Iyer, VP Data at Momentive.ai, met the Data Bros to talk about enforcing collaboration in large organizations to ensure what she
When it comes to data management, have we come a long way since the early 2000s? Or has it simply taken us 20 years to finally realize that you can’t scale properly without data modeling. With over 20 years of experience in the data space, lead
When it comes to data management, have we come a long way since the early 2000s? Or has it simply taken us 20 years to finally realize that you can’t scale properly without data modeling. With over 20 years of experience in the data space, lead
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 now focused on spreading the knowledge in EcZachly and all over social media.
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 ca
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 different teams are accessing it.
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-time events while dealing with mutable data and massive scale.
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. After 10 years at Facebook, managing and scaling the Seattle site to over 6000
Sudeep 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 hand
According 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 b
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 th
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-only company. Gunnar Tangring, Klarna’s Lead Data Engineer tells Boaz what this
Archana 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.
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 Engineering explains how the data stack and architecture evolved to support this growth w
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