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A ClickHouse Review from a Practitioner’s Point of View

Sudeep Kumar, Principal Engineer at Salesforce considers the shift to Clickhouse as one of his biggest accomplishments

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A Deep Dive into Slack's Data Architecture

How the data platform evolved as Slack grew from a startup to an IPOed and then acquired company.

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A Technical Deep Dive to Yelp's Data Infrastructure — with Steven Moy

Steven Moy thoroughly explains Yelp’s data architecture under the hood and how it evolved over the past ten years.

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A primer on analyzing semi-structured data (Part 1)

This guide will provide you with the fundamental knowledge necessary to handle semi-structured data effectively. 

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A primer on analyzing semi-structured data (Part 2)

With the data ingested, let’s delve right into two popular frameworks to visualizing the data.

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AWS re:Invent Keynote Recap for Data Professionals

AWS re:invent 2022 was all about building the anticipation and delivering on expectations of us technologists. 

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Big Data Analytics for Gaming

In our recent ‘Big Data Analytics for Gaming Workshop’ we let the audience do the talking, here’s a summary of the talk.

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Bill Inmon, the Godfather of Data Warehousing

As people in the data industry go, Bill Inmon is among the top, often seen as the godfather of the data warehouse.

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Building Data Products For Data Engineers

How does a tech stack that always needs to be at the forefront of technology look like?

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Cloud data warehouse costs: Look before you leap

In this post, we look at factors to consider when building a data warehouse.

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Data Observability with Millions of Users - Barr Moses

Barr Moses explains how to make sure your data is accurate in a world where so many different teams are accessing it

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Data engineering from the early 2000s till today - BlackRock

When it comes to data management, have we come a long way since the early 2000s?

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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.

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ETL Vs. ELT - Know The Differences

Explore the significant differences between ELT and ETL data integration processes and find the best option for you.

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Firebolt Announces Series C Round at $1.4 Billion Valuation to Build the World's Fastest and Most Versatile Cloud Data Warehouse

Demand from engineering teams has skyrocketed since Firebolt emerged from stealth last year

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Firebolt Ignites Growth with a $127M Series B Funding Round

Upstart cloud data warehouse sees rapid growth in 2021, plans to double its workforce

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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.

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How Amplitude Engineers Process 5 Trillion Real-time Events

Amplitude's cutting-edge data stack and how it processes 5 Trillion real-time events while dealing with mutable data

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How AppsFlyer manages scale without sacrificing performance

Appsflyer deals not only with 120 billion events per day, but does so while growing quickly as a company

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How Bolt Engineers Are Designing Its Next-Gen Data Platform

Bolt engineers are in the midst of designing a new next-gen data platform

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How Eventbrite is Modernizing its Data Stack

An episode about Eventbrite’s data stack modernization process, and how you get engineers to adopt new technologies

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How IQVIA Maximizes Analytics Performance for Life Sciences

IQVIA deep dive into maximizing impact of BI solutions for faster and more informed decision-making in Life Sciences.

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How Klarna Designed a New Data Platform in the Cloud

Klarna is one of the leading fintech companies in the world, valued at $45B.

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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

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How Substack's Data Platform Supports 500K Paying Subscribers

How does Substack's data platform support 500K paying subscribers?

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How Vimeo Keeps Data Intact with 85B Events Per Month

How Vimeo handles Data Ops to deal with massive scale?

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How Zendesk engineers manage customer-facing data applications

Ananth Packkildurai is Principal Software Engineer at Zendesk and runs one of the strongest newsletters in data

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How ZipRecruiter and Yotpo power self-service data platforms that work

How ZipRecruiter and Yotpo build resilient self-service products that keep customers happy and engineers calm

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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.

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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

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How do Canva's engineers and analysts scale data platforms to keep up with growth? — with Krishna Naidu

Canva is one of the hottest, if not the hottest, graphic design platforms out there.

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Joe Reis and Matt Housley on the fundamentals of data engineering

Joe Reis and Matt Housley joined the bros for some much-needed ranting, priceless data advice, and good laughs.

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Joseph Machado, Senior Data Engineer at LinkedIn talks best practices

Data engineering should be less about the stack and more about best practices.

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Large scale data engineering at Momentive.ai - Meenal Iyer

Meenal Iyer, VP Data at Momentive.ai, talks about enforcing collaboration in large organizations

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Making Observability a Key Business Driver

80% of the code that you write doesn’t work on the first try. But knowing which 80% is not working is the real challenge

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Megan Lieu on powerful notebooks that enable collaboration

Megan Lieu about her approach to data advocacy as well as the power of notebooks

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PostgreSQL Swiss army knife and The analytics workload

Is Postgres truly the right engine for analytics? 

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Professors Joe Hellerstein and Joseph Gonzalez on LLMs

Joe Hellerstein and Joseph Gonzalez inspired generations of database enthusiasts and are now on the show

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Semi-structured data modeling

How to ingest, store and query JSON data, for example, is a consistent question on the minds of customers.

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The Creator of Airflow About His Recipe for Smart Data-Driven Companies

Max walks the Bros through his recipe for a smart data-driven company, and the genesis of Airflow, Superset & Presto.

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Transitioning Scopely’s 5.5 PB Data Platform to the Modern Data Stack

Should data engineering AND BI be handled by the same people?

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Transitioning from software engineering to data engineering

Every data team should have at least one data engineer with a software engineering background.

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Vin Vashishta explains why we should stop using dashboards

Vin Vashishta, the guy we all love to follow, has never seen a dashboard with positive ROI.

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Zach Wilson on what makes a great data engineer

How good you are at Spark or Flink ≠ how good you are at data engineering. Zach Wilson explains.

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