Data Journeys with Bruno Aziza

Google Cloud Platform Podcast

Episode | Podcast

Date: Wed, 16 Feb 2022 17:25:28 +0000

<p><span style="font-weight: 400;">On the show this week,</span> <a href="https://twitter.com/markmirch"><span style="font-weight: 400;">Mark Mirchandani</span></a> <span style="font-weight: 400;">and</span> <a href="https://twitter.com/stephr_wong"><span style="font-weight: 400;">Stephanie Wong</span></a> <span style="font-weight: 400;">share two popular episodes of</span> <a href="https://twitter.com/brunoaziza"><span style="font-weight: 400;">Bruno Aziza</span></a><span style="font-weight: 400;">’s YouTube series Data Journeys.</span></p> <p><span style="font-weight: 400;">First up, Bruno talks with Aaron Biller of Postmates about their triangle of complex data that includes customer, courier, and merchant. He details their data storage and analytics structure, describing it as a reverse pyramid of tons of data with few engineers to manage and analyze it. To handle this, Postmates takes a stay-out-of-the-way approach by providing good data and letting the analysts do what they do best without micromanaging. Aaron talks about this data architecture, including the use of BigQuery as data lakes to keep data storage simple, and how Google collaboration tools streamline access and authorization tasks. Communication and flexibility are important, Aaron tells us, and he offers other advice for companies designing data systems. Feedback loops, dedicated training, and an open environment with no silos also help foster a productive, healthy data workplace.</span></p> <p><span style="font-weight: 400;">Matteo of Delivery Hero speaks to Bruno next. With the goal of increasing their global reach and offerings, it’s important that Delivery Hero has a smooth data system. Matteo outlines the new data structure they’ve built to ease onboarding of new companies and territories and describes different use cases for their data. From determining the number of delivery people necessary in each area to offering personalized customer recommendations, Delivery Hero uses Google offerings like Google Analytics and BigQuery to interpret collected data. Matteo details how they tailor data infrastructures for each use case and offers tips to help companies think through their data infrastructure design. Don’t work in a bubble, Matteo stresses, and focus on thorough onboarding of team members and clear communication with colleagues and customers.</span></p> <h5><strong>Bruno Aziza</strong></h5> <p><a href="https://twitter.com/brunoaziza"><span style="font-weight: 400;">Bruno</span></a> <span style="font-weight: 400;">is the Head of Data & Analytics at Google Cloud. He specializes in everything data, from data analytics, to business intelligence, data science, and artificial intelligence. Before working at Google, he worked at companies like Business Objects when it went IPO and Oracle, where his team led a big turnarounds in the business analytics industry. Bruno also had the opportunity to help launch startups like Alpine Data (now part of Tibco). Sisense and AtScale and helped Microsoft grow its Data unit into a $1B business. He has been educated in the US, France, the UK, and Germany and has written two books on Data Analytics and Performance Management. In his spare time, Bruno writes a monthly column on Forbes.com on everything Data, AI and Analytics.</span></p> <h5><strong>Aaron Biller</strong></h5> <p><span style="font-weight: 400;">Aaron is the Manager of Data Engineering at Postmates.</span></p> <h5><strong>Matteo Fava</strong></h5> <p><span style="font-weight: 400;">Matteo is Senior Director of Global Data Products and Analytics at Delivery Hero.</span></p> <h5><strong>Cool things of the week</strong></h5> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Celebrating National Muffin Day with machine learning</span> <a href="https://cloud.google.com/blog/topics/developers-practitioners/celebrating-national-muffin-day-machine-learning"> <span style="font-weight: 400;">blog</span></a></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Managed Istio-based service mesh on our managed GKE clusters: Anthos Service Mesh comes to GKE Autopilot</span> <a href="https://cloud.google.com/blog/products/containers-kubernetes/managed-anthos-service-mesh-on-gke-autopilot-clusters"> <span style="font-weight: 400;">blog</span></a></li> </ul> <h5><strong>Interview</strong></h5> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Data Journeys</span> <a href="https://g.co/cloud/datajourneys"><span style="font-weight: 400;">videos</span></a></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Episode 12: How Postmates delivers on data needs with just six data engineers</span> <a href="https://www.youtube.com/watch?v=OpWBgqeoBNE"><span style="font-weight: 400;">video</span></a></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Episode 5: How Delivery Hero uses data to deliver meals</span> <a href="https://www.youtube.com/watch?v=aoN8z2YoOMw"><span style="font-weight: 400;">video</span></a></li> <li style="font-weight: 400;"><span style="font-weight: 400;">BigQuery</span> <a href="https://cloud.google.com/bigquery"><span style="font-weight: 400;">site</span></a></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Google Workspace</span> <a href="https://workspace.google.com/"><span style="font-weight: 400;">site</span></a></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Dataproc</span> <a href="https://cloud.google.com/dataproc"><span style="font-weight: 400;">site</span></a></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Pub/Sub</span> <a href="https://cloud.google.com/pubsub"><span style="font-weight: 400;">site</span></a></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Google Analytics</span> <a href="https://analytics.google.com/analytics/web/provision/#/provision"><span style="font-weight: 400;"> site</span></a></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Looker</span> <a href="https://looker.com/"><span style="font-weight: 400;">site</span></a></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Tableau</span> <a href="https://www.tableau.com/"><span style="font-weight: 400;">site</span></a></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Data Studio</span> <a href="https://datastudio.google.com/"><span style="font-weight: 400;">site</span></a></li> <li style="font-weight: 400;"><span style="font-weight: 400;">GCP Podcast Episode 266: Data Analytics Launches with Bruno Aziza and Eric Schmidt</span> <a href="https://www.gcppodcast.com/post/episode-266-data-analytics-launches-with-bruno-aziza-and-eric-schmidt/"> <span style="font-weight: 400;">podcast</span></a></li> <li style="font-weight: 400;"><span style="font-weight: 400;">GCP Podcast Episode 281: Google Cloud Next Data, Analytics, and AI Launches with Eric Schmidt and Bruno Aziza</span> <a href="https://www.gcppodcast.com/post/episode-281-google-cloud-next-data-analytics-and-ai-launches-with-eric-schmidt-bruno-aziza/"> <span style="font-weight: 400;">podcast</span></a></li> </ul> <h5><strong>What’s something cool you’re working on?</strong></h5> <p><span style="font-weight: 400;">Steph is working on the next Ask Google Cloud event and she wants your Kubernetes questions!</span></p> <h5><strong>Hosts</strong></h5> <p><span style="font-weight: 400;">Mark Mirchandani and Stephanie Wong</span></p>