logo
episode-header-image
Jun 2021
1h 11m

Lessons Learned From The Pipeline Data E...

Tobias Macey
About this episode

Summary

Data Engineering is a broad and constantly evolving topic, which makes it difficult to teach in a concise and effective manner. Despite that, Daniel Molnar and Peter Fabian started the Pipeline Academy to do exactly that. In this episode they reflect on the lessons that they learned while teaching the first cohort of their bootcamp how to be effective data engineers. By focusing on the fundamentals, and making everyone write code, they were able to build confidence and impart the importance of context for their students.

Announcements

  • Hello and welcome to the Data Engineering Podcast, the show about modern data management
  • When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own. And don’t forget to thank them for their continued support of this show!
  • Are you bored with writing scripts to move data into SaaS tools like Salesforce, Marketo, or Facebook Ads? Hightouch is the easiest way to sync data into the platforms that your business teams rely on. The data you’re looking for is already in your data warehouse and BI tools. Connect your warehouse to Hightouch, paste a SQL query, and use their visual mapper to specify how data should appear in your SaaS systems. No more scripts, just SQL. Supercharge your business teams with customer data using Hightouch for Reverse ETL today. Get started for free at dataengineeringpodcast.com/hightouch.
  • Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more. Go to dataengineeringpodcast.com/atlan today and sign up for a free trial. If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription
  • Your host is Tobias Macey and today I’m interviewing Daniel Molnar and Peter Fabian about the lessons that they learned from their first cohort at the Pipeline data engineering academy

Interview

  • Introduction
  • How did you get involved in the area of data management?
  • Can you start by sharing the curriculum and learning goals for the students?
  • How did you set a common baseline for all of the students to build from throughout the program?
    • What was your process for determining the structure of the tasks and the tooling used?
  • What were some of the topics/tools that the students had the most difficulty with?
    • What topics/tools were the easiest to grasp?
  • What are some difficulties that you encountered while trying to teach different concepts?
  • How did you deal with the tension of teaching the fundamentals while tying them to toolchains that hiring managers are looking for?
  • What are the successes that you had with this cohort and what changes are you making to your approach/curriculum to build on them?
  • What are some of the failures that you encountered and what lessons have you taken from them?
  • How did the pandemic impact your overall plan and execution of the initial cohort?
  • What were the skills that you focused on for interview preparation?
  • What level of ongoing support/engagement do you have with students once they complete the curriculum?
  • What are the most interesting, innovative, or unexpected solutions that you saw from your students?
  • What are the most interesting, unexpected, or challenging lessons that you have learned while working with your first cohort?
  • When is a bootcamp the wrong approach for skill development?
  • What do you have planned for the future of the Pipeline Academy?

Contact Info

Parting Question

  • From your perspective, what is the biggest gap in the tooling or technology for data management today?

Links

The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

Support Data Engineering Podcast

Up next
Jul 6
Foundational Data Engineering At 2Sigma
SummaryIn this episode of the Data Engineering Podcast Effie Baram, a leader in foundational data engineering at Two Sigma, talks about the complexities and innovations in data engineering within the finance sector. She discusses the critical role of data at Two Sigma, balancing ... Show More
55m 5s
Jun 29
Enabling Agents In The Enterprise With A Platform Approach
SummaryIn this episode of the Data Engineering Podcast Arun Joseph talks about developing and implementing agent platforms to empower businesses with agentic capabilities. From leading AI engineering at Deutsche Telekom to his current entrepreneurial venture focused on multi-agen ... Show More
54m 18s
Jun 18
Dagster's New Era: Modularizing Data Transformation in the Age of AI
SummaryIn this episode of the Data Engineering Podcast we welcome back Nick Schrock, CTO and founder of Dagster Labs, to discuss the evolving landscape of data engineering in the age of AI. As AI begins to impact data platforms and the role of data engineers, Nick shares his insi ... Show More
1h 1m
Recommended Episodes
Mar 2022
Bayesian Machine Learning with Ravin Kumar (Ep. 191)
This is one episode where passion for math, statistics and computers are merged. I have a very interesting conversation with Ravin,  data scientist at Google where he uses data to inform decisions. He has previously worked at Sweetgreen, designing systems that would benefit team ... Show More
31m 12s
Mar 2022
Mining the Golden Age of Data with Tableau’s CEO & President Mark Nelson
Mark Nelson is the President and CEO of Tableau, a company dedicated to democratizing analytics and putting data back in the hands of consumers. But while this digital pioneer may be excited about the technical side of things, he’s more excited about how accessing data (and askin ... Show More
36m 32s
Jan 2022
Academics and Data Science Innovation with Dr. David Bader, Distinguished Professor and Director, Institute for Data Science, New Jersey Institute of Technology
The data science field is expanding because so many businesses and other institutions require skilled workers who can manage data as well as provide insights. Companies and students are clamoring for more academic programs. There is great need, but academic institutions are still ... Show More
39m 32s
Jan 2022
#498: [African Stories #2] EXPLORE Data Science Academy
The EXPLORE Data Science Academy (EDSA) is a premier data science academy in South Africa that offers students an intensive one-year training course and provides a fundamental understanding of software development and cloud computing technologies. In this episode, Simon speaks wi ... Show More
14m 33s
Nov 2021
Time Plus Data Equals Efficiency with Paul Dix, the Founder and CTO of InfluxData and the Creator of InfluxDB
If the topic of databases is brought up to certain people, their eyes may gloss over. But if that happened, that would be because they just don’t know the awesome power of databases. Data can be valuable but only if it is contextualized, and time is an extremely relevant aspect t ... Show More
36m 4s
Oct 2023
#628: Data on EKS
Organizations use their data to make better decisions and build innovative experiences for their customers. With the exponential growth in data, and the rapid pace of innovation in machine learning (ML), there is a growing need to build modern data applications that are agile and ... Show More
20m 56s
Jun 2018
SSR, SEO, Tips for Students, music, security and GraphQL
It’s a Potluck episode - you bring the questions and we turn them into tasty treats. Freshbooks - Sponsor Get a 30 day free trial of Freshbooks at freshbooks.com/syntax and put SYNTAX in the “How did you hear about us?” section. Coffeecup’s CSS Grid Builder Tool Check out Coffeec ... Show More
1 h
Mar 2024
LLM Security and Privacy
Sean Falconer (@seanfalconer, Head of Dev Relations @SkyflowAPI, Host @software_daily) talks about security and privacy of LLMs and how to prevent PII (personally identifiable information) from leaking outSHOW: 807 CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw NEW TO CLO ... Show More
26m 9s
Jul 2020
Nora Jones on Resilience Engineering, Mental Models, and Learning from Incidents
In this podcast, Nora Jones, Co-Founder and CEO at Jeli and co-author of O’Reilly’s “Chaos Engineering: System Resiliency in Practice”, sat down with InfoQ podcast co-host Daniel Bryant. Topics discussed included: chaos engineering and resilience engineering, planning and running ... Show More
36 m