GetInData | Part of Xebia

🚨 We're twice hitting the Data & AI Warsaw Tech Summit 2025 stage. And trust us — both talks are packed with hard-earned lessons, zero buzzwords, and plenty of "oh, THAT's why it broke in prod" moments 😅 Here's what our experts are bringing: 📊 Architecting a Scalable and Cost-Effective Data Lakehouse Tomasz Kostyrka & Marek Wiewiórka (GetInData | Part of Xebia) 👉 How to build a flexible, high-perf lakehouse without lighting your cloud budget on fire. 👉 Real-world insights, open-source vs SaaS pros/cons, and why the right architectural call early on saves you later. ⚙️ How Dema.ai Uses ClickHouse & Flink for Customer-Facing Analytics Juliusz Nadberezny (GetInData | Part of Xebia) & Peter Porserud (Dema.ai) 👉 KFC stack (Kafka-Flink-ClickHouse) in action. 👉 Building real-time, customer-facing insights that scale. 💬 And one more thing... Don't miss the panel discussion hosted by Adam Kawa: "AI's Double-Edged Sword: Reshaping the Future of Data & AI Careers" Featuring experts from LinkedIn, XTB, Softserve, and more — this is where we get honest about how AI is reshaping our industry and our jobs. Will AI free us up for higher-value work or radically change team structures? What should data professionals focus on now — and in the next 10 years? Expect honest takes, future-focused advice, and practical career tips. 🗓 April 9, 2025 📍 Warsaw 🎟️ Don't sleep on this — link in comments! 💸 Bonus: Use promo code Getindata300 for 300 PLN off your ticket! #DataEngineering #DataLakehouse #ClickHouse #ApacheFlink #AIcareers #TechPanel #WarsawTechSummit

🚨 We’re twice hitting the Data & AI Warsaw Tech Summit 2025 stage. And trust us; both talks are packed with hard-earned lessons, zero buzzwords, and plenty of “oh, THAT’s why it broke in prod” moments 😅 Here’s what our experts are bringing: 📊 Architecting a Scalable and Cost-Effective Data Lakehouse Tomasz Kostyrka & Marek Wiewiórka (GetInData | Part of Xebia) 👉 How to build a flexible, high-perf lakehouse without lighting your cloud budget on fire. 👉 Real-world insights, open-source vs SaaS pros/cons, and why the right architectural call early on saves you later. ⚙️ How Dema.ai Uses ClickHouse & Flink for Customer-Facing Analytics Juliusz Nadberezny (GetInData | Part of Xebia) & Peter Porserud (Dema.ai) 👉 KFC stack (Kafka-Flink-ClickHouse) in action. 👉 Building real-time, customer-facing insights that scale. 🗓 April 9–10, 2025 📍 Warsaw 🎟️ Don’t sleep on this—link in comments! 💸 Bonus: Use promo code Getindata300 for 300 PLN off your ticket! #DataEngineering #DataLakehouse #ClickHouse #ApacheFlink #Kafka #StreamingData #LLMOps #BigData #CloudArchitecture

🧠 Data Scientists, we’ve got a challenge for you! From business problem to deployed model—you’ll own the full journey. We're looking for someone who builds ML solutions that actually get used and make an impact. 🔹 Define problems 🔹 Build + deploy models (with MLOps support) 🔹 Monitor real-world outcomes Sound like you? Or know someone perfect for this? 👇 Tag them below! 📌 Apply now! Link in the comments #Getindata #remotejob #datascientistjob #python

We’re getting hands-on with GenAI—and showing you how to go from idea to production with LLMOps that actually works 😎 Join us at Data & AI Warsaw Tech Summit 2025 for a one-day workshop: ⚙️ LLMOps in Action: Build, Deploy & Optimize GenAI Apps Here’s what’s going down: 🧠 Mateusz Pytel and Marek Wiewiórka will guide you through building a full GenAI app—data ingestion, prompt management, observability, cost control, LLM evaluation—all the good stuff. No fluff. Just best practices, open-source tools, and lessons learned from the field. From first prompt to full deployment, we’ll show you where the real challenges lie—and how to avoid faceplants in prod 😅 📍 ADN Centrum Konferencyjne, Warsaw 📅 April 8, 2025 | 9:00–16:00 🎟️ Link in comments #LLMOps #GenAI #GetInData #Xebia #TechSummit2025 #DataAIWarsaw #AIWorkshop #DataEngineering

We came, we saw, we... may have sparked heated debates about cloud best practices and data engineering. 😅 Here’s a quick rundown: 🧠 Tomasz Kostyrka & Paweł Mitruś: Got real about Databricks Platform Engineering—automation, CI/CD with Terraform, and why DevOps folks sometimes side-eye data projects. Real stories, good laughs, and solid takeaways. 🌐 Patrick de Kruijf from Xebia: Took us through the ups and downs of Azure Virtual WAN—sharing practical tips, lessons learned, and some “don’t try this at home” moments. 🔵 Erwin Staal from Xebia: Dropped some solid insights on Azure Landing Zones—best practices for building a secure and scalable foundation without losing your mind. Big shoutout to Patrick, Erwin, Tomek, and Paweł for bringing the knowledge and keeping it real! Microsoft Azure User Group Poland #GetInData #Xebia #Azure #DevOps #DataEngineering #CloudTech

Data Lineage can be complex, but it doesn't have to be. Join our hybrid event to discover how OpenLineage simplifies lineage management. Hear from industry professionals who have addressed real-world challenges and improved efficiency. 🎙️ Featured Presentations: 👉 GCP Composer Migration to OpenLineage by Augusto Hidalgo (Google) 👉 Adding OpenLineage Support to Airflow Operators by Kacper Muda (GetInData now Astronomer) 👉 Standardized Compatibility Testing for OpenLineage by Tomasz Nazarewicz (GetInData) 👉 Connecting OpenLineage within Observability Ecosystems by Maciej Obuchowski (Datadog) 👉 Exposing Metrics through Spark OpenLineage Connector by Paweł Leszczyński (GetInData) 📅 Date: April 3, 2025 🕔 Time: 5:30 PM CET 💻 Hybrid Event – Join in Person or via Zoom! 🔗 Registration closes on March 31 – don't miss out! (Link in the comments) #GetInData #DataEngineering #OpenLineage #PipelineManagement #DataOps #Observability #HybridEvent

🏗️ Building the ❓Ultimate❓ Data Solution: Data Lakehouse Architecture The demands of modern data workloads are diverse and ever-changing. From real-time analytics to MLOps and AI/GenAI, your data platform needs to be flexible, scalable, and future-proof. At GetInData, we’re excited to share how the Data Lakehouse Architecture can meet these demands! Join our upcoming webinar to learn from Marek Wiewiórka. In this session, we’ll cover: ✅ What makes a Lakehouse a game-changer: modularity, elasticity, and performance ✅ Core principles like ACID compliance, open formats, and compute/storage separation ✅ Why Open Data Lakehouse (ODL) is the holy grail of data architecture – any compute, any storage, seamlessly cataloged ✅ Real-world applications from BI/DWH to real-time analytics, MLOps, and AI/GenAI 📅 Date: April 15th, 2025 🕔 Time: 3 PM CET 🔗 Save your seat! Link in the comment #GetInData #DataLakehouse #DataEngineering #DataArchitecture #AI #MachineLearning

Multi-Team Apache Airflow: Isolation or Efficiency? Managing Apache Airflow for multiple teams can be tricky. Should you use separate environments or a shared instance? 1️⃣ Separate Environments: ✅ Full isolation & security ✅ Custom configurations per team ⚠️ Higher cost & maintenance 2️⃣ Shared Instance: ✅ Cost-efficient & easier to manage ⚠️ Risk of team interference & security issues With Airflow 2, native multi-tenancy support is lacking, but Airflow 3 promises improvements! Until then, choose between strict isolation or balancing costs with shared resources. Got questions? Let’s chat! 💪 Full blog in the comments 👇 #GetInData #ApacheAirflow #DataEngineering #DevOps 

MLOps Engineers, your models need you! 🤖💡 Are you ready to automate, scale, and optimize ML workflows with GCP, Kubeflow, and Vertex AI with us? If containerization, orchestration, and ML automation are second nature to you, let’s chat! Know someone who eats Kubernetes configs for breakfast? Tag them below! 👇 📌 Apply now! Link in the comments #MLOps #MachineLearning #DataEngineering #Hiring #GCP #Kubernetes #BigQuery

New Webinar Series: Toward Data Lakehouse Architecture 01: Data Lakehouse (DL) - is it the holy grail 🏆 we have been looking for? Data Lakehouse seems to be a new buzzword. Everyone wants it, but does everyone need it? In many cases, Data Lakehouse will be a perfect solution, but not always, and not just ANY Data Lakehouse. In this Webinar Series, we want to get closer to the #DataLakehouse concept, what problems it addresses, and how to design its architecture to make it the holy grail 🏆 In the first Webinar on April 15th, Marek Wiewiórka will discuss: 💡 What is Data Lakehouse 💡 What problems DL solves 💡 Key principles like modularity, separation of concern 💡 Low vendor-lock - exit strategies 💡 Market standards and key open technologies 💡 Architectural key aspects #datalakehouse #dataarchitecture #dataplatform #bigdata