The Data Engineering Show
Technology Podcasts
The Data Engineering Show is a podcast for data engineering and BI practitioners to go beyond theory. Learn from the biggest influencers in tech about their practical day-to-day data challenges and solutions in a casual and fun setting. SEASON 1 DATA BROS Eldad and Boaz Farkash shared the same stuffed toys growing up as well as a big passion for data. After founding Sisense and building it to become a high-growth analytics unicorn, they moved on to their next venture, Firebolt, a leading high-performance cloud data warehouse. SEASON 2 DATA BROS In season 2 Eldad adopted a brilliant new little brother, and with their shared love for query processing, the connection was immediate. After excelling in his MS, Computer Science degree, Benjamin Wagner joined Firebolt to lead its query processing team and is a rising star in the data space. For inquiries contact tamar@firebolt.io
Location:
United States
Genres:
Technology Podcasts
Description:
The Data Engineering Show is a podcast for data engineering and BI practitioners to go beyond theory. Learn from the biggest influencers in tech about their practical day-to-day data challenges and solutions in a casual and fun setting. SEASON 1 DATA BROS Eldad and Boaz Farkash shared the same stuffed toys growing up as well as a big passion for data. After founding Sisense and building it to become a high-growth analytics unicorn, they moved on to their next venture, Firebolt, a leading high-performance cloud data warehouse. SEASON 2 DATA BROS In season 2 Eldad adopted a brilliant new little brother, and with their shared love for query processing, the connection was immediate. After excelling in his MS, Computer Science degree, Benjamin Wagner joined Firebolt to lead its query processing team and is a rising star in the data space. For inquiries contact tamar@firebolt.io
Language:
English
Episodes
How ZoomInfo transitioned from data graveyards to ROI-driven data projects
4/16/2024
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 data projects have value, and provide an unfiltered peak into ZoomInfo’s data stack and unique tech culture.
Duration:00:39:46
Matthew Weingarten from Disney Streaming about Data Quality Best Practices
3/26/2024
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.
Duration:00:27:21
Joseph Machado, Senior Data Engineer @ LinkedIn talks best practices
2/29/2024
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 principles that are key to success, leveraging AI for automation, and adopting software engineering methods.
Duration:00:25:59
Professors Joe Hellerstein and Joseph Gonzalez on LLMs
1/24/2024
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 (including Benji and Eldad) and have come on the show to talk about all things LLM and RunLLM which they co-founded.
If you consider yourself a hardcore engineer, this episode is for you.
Duration:00:46:07
Megan Lieu on powerful notebooks that enable collaboration
1/1/2024
There are two types of data influencers on LinkedIn:
1. Those who talk directly about the products and companies they work for
2. Those that provide more general guidance, tips and opinions
Can influencers actually be passionate about the products they’re developing and straightforwardly talk about them without sounding salesly?
We’re kicking off 2024 with the amazing Megan Lieu on a new Data Engineering Show episode.
Megan is one of those influencers that combine the two approaches, and with almost 100K followers, her content seems to be resonating with many data folks.
She talked to the bros about her approach to data advocacy as well as the power of notebooks, especially when they become broader and enable collaboration.
Duration:00:31:31
Transitioning from software engineering to data engineering
11/22/2023
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 engineer at Adyen with a software engineering background, and she met the bros to talk about why both software and data engineering skills are so important.
Without software engineering skills you’ll be limited to the rigid capabilities of your stack. But without data engineering skills you’ll find it hard to be cost effective and see the bigger picture.
Duration:00:29:48
Vin Vashishta explains why we should stop using dashboards
10/4/2023
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 knowledge. It’s no longer just about the data volume, it’s about quality and relevance.
Duration:00:35:45
Joe Reis and Matt Housley on the fundamentals of data engineering
9/6/2023
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 value and dashboards, even though we don’t really have anything new to say? If there are so many great tools in the data stack, why are we still so troubled? How can we focus more on things like data governance and data quality that’ll actually push the industry forward?
Duration:00:42:11
Bill Inmon, the Godfather of Data Warehousing
8/8/2023
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 modeling renaissance, and why ChatGPT is not Textual ETL.
Duration:00:30:32
Large-scale data engineering at Momentive.ai - Meenal Iyer
7/12/2023
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 ensure what she considers the three most important data factors: Adoption, Trust, and Value.
Duration:00:38:40
Data engineering from the early 2000s till today - BlackRock
6/8/2023
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, leading engineering teams at Cisco, Oracle, Greenplum, and now as Sr. Director of Engineering at BlackRock, Krishnan Viswanathan talks about the data engineering challenges that existed two decades ago and still exist today.
Duration:00:41:49
Zach Wilson on what makes a great data engineer
4/27/2023
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. He met Benjamin Wagner to explain why data modeling and storytelling are more important than the actual tech, why data engineering is going to see more job growth than data science, and what brought him to start creating content, reaching over 250K followers on LinkedIn.
Duration:00:34:02
How ZipRecruiter and Yotpo power self-service data platforms that work
3/23/2023
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.
Duration:00:45:48
Data Observability with Millions of Users - Barr Moses
2/8/2023
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.
Duration:00:38:36
How Amplitude Engineers Process 5 Trillion Real-time Events
1/5/2023
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.
Duration:00:27:58
Making Observability a Key Business Driver
11/29/2022
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 engineers(!) Vijaye Raji founded Statsig to make observability automated and real-time. How is the semantic layer managed? How was the Statsig team able to build an observability product that handles real-time ever-changing metadata? What are Vijaye’s main takeaways from engineering at Facebook? Tune in.
Duration:00:48:40
A ClickHouse Review from a Practitioner’s Point of View
9/1/2022
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 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.
Duration:00:34:41
The Creator of Airflow About His Recipe for Smart Data-Driven Companies
8/3/2022
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 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.
Duration:00:45:56
How Similarweb Delivers Customer Facing Analytics Over 100s of TBs
7/14/2022
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.
Duration:00:37:11
How Klarna Designed a New Data Platform in the Cloud
6/9/2022
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 new modernized stack looks like.
Duration:00:40:37