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Architecting, Implementing, and Querying Modern Data Lakes

Learn to ingest, store, and process large volumes of structured and unstructured data. Explore design patterns, governance strategies, and popular tools like Apache Iceberg and Delta Lake.

Matching moments

Core components and satellite architecture of the data lake
03:54 MIN

Core components and satellite architecture of the data lake

Empowering Retail Through Applied Machine Learning

The evolution from data warehouses to data lakes
02:22 MIN

The evolution from data warehouses to data lakes

Modern Data Architectures need Software Engineering

The historical evolution from data warehouses to data lakes
05:10 MIN

The historical evolution from data warehouses to data lakes

The Data Mesh as the end of the Datalake as we know it

The challenges of a centralized data lake architecture
04:59 MIN

The challenges of a centralized data lake architecture

A Data Mesh needs Open Metadata

Comparing data sources for machine learning models
03:54 MIN

Comparing data sources for machine learning models

Intelligent Data Selection for Continual Learning of AI Functions

Managing massive data scales with the Robotic Drive platform
10:54 MIN

Managing massive data scales with the Robotic Drive platform

How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution

Using private data securely with RAG and MCP
04:40 MIN

Using private data securely with RAG and MCP

Panel discussion: Developing in an AI world - are we all demoted to reviewers? WeAreDevelopers WebDev & AI Day March2025

Understanding traditional data architecture before Microsoft Fabric
02:08 MIN

Understanding traditional data architecture before Microsoft Fabric

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Understanding the modern cloud data platform
02:12 MIN

Understanding the modern cloud data platform

Modern Data Architectures need Software Engineering

Using DataWorks as a unified IDE for big data
05:05 MIN

Using DataWorks as a unified IDE for big data

Alibaba Big Data and Machine Learning Technology

Exploring Alibaba's big data and AI product portfolio
04:18 MIN

Exploring Alibaba's big data and AI product portfolio

Alibaba Big Data and Machine Learning Technology

Exploring the components of the IBM Data Fabric
04:15 MIN

Exploring the components of the IBM Data Fabric

Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization

Managing petabyte-scale analytics data with ClickHouse
02:10 MIN

Managing petabyte-scale analytics data with ClickHouse

Scaling: from 0 to 20 million users

Comparing core data processing engines on Alibaba Cloud
04:09 MIN

Comparing core data processing engines on Alibaba Cloud

Alibaba Big Data and Machine Learning Technology

How Microsoft Fabric unifies data on one platform
02:10 MIN

How Microsoft Fabric unifies data on one platform

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Overcoming the fragmented machine learning tool ecosystem
00:36 MIN

Overcoming the fragmented machine learning tool ecosystem

DataForce Studio

Introducing the DataStax real-time data cloud
03:10 MIN

Introducing the DataStax real-time data cloud

Building Real-Time AI/ML Agents with Distributed Data using Apache Cassandra and Astra DB

Leveraging Oracle Database 23ai for AI vector search
03:48 MIN

Leveraging Oracle Database 23ai for AI vector search

Langchain4J - An Introduction for Impatient Developers

Differentiating between OLAP and OLTP database workloads
04:33 MIN

Differentiating between OLAP and OLTP database workloads

Making Data Warehouses fast. A developer's story.

Learning from database indexes and stream processing
04:58 MIN

Learning from database indexes and stream processing

How Gatsby Cloud's real-time streaming architecture drives <5 second builds

Building a data-driven culture with ALDI Data & Analytics
02:56 MIN

Building a data-driven culture with ALDI Data & Analytics

Empowering Retail Through Applied Machine Learning

An overview of the Optimize data and AI ecosystem
03:12 MIN

An overview of the Optimize data and AI ecosystem

Blueprints for Success: Steering a Global Data & AI Architecture

Using Debezium for transaction log-based CDC
05:13 MIN

Using Debezium for transaction log-based CDC

Practical Change Data Streaming Use Cases With Debezium And Quarkus

Automating the data pipeline with multi-cloud services
04:09 MIN

Automating the data pipeline with multi-cloud services

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML

Building a self-service data and AI workbench
02:41 MIN

Building a self-service data and AI workbench

Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow

Merging data engineering and DevOps for scalability
01:55 MIN

Merging data engineering and DevOps for scalability

Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure

Supporting hyperscale workloads with a single database
03:24 MIN

Supporting hyperscale workloads with a single database

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

An introduction to the Apache Spark analytics engine
02:56 MIN

An introduction to the Apache Spark analytics engine

PySpark - Combining Machine Learning & Big Data

Understanding Spark's core data APIs and abstractions
03:50 MIN

Understanding Spark's core data APIs and abstractions

PySpark - Combining Machine Learning & Big Data

Building the analytical record for the model
04:27 MIN

Building the analytical record for the model

Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base

Separating offline and online data processing
02:22 MIN

Separating offline and online data processing

Building the platform for providing ML predictions based on real-time player activity

Answering questions on data volume, challenges, and databases
07:21 MIN

Answering questions on data volume, challenges, and databases

Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies

The challenge of managing traditional SQL data pipelines
00:38 MIN

The challenge of managing traditional SQL data pipelines

Enjoying SQL data pipelines with dbt

The developer's struggle with data warehouse latency
03:21 MIN

The developer's struggle with data warehouse latency

Making Data Warehouses fast. A developer's story.

Leveraging self-serve platforms to accelerate data work
03:19 MIN

Leveraging self-serve platforms to accelerate data work

The Data Mesh as the end of the Datalake as we know it

Introducing Cube as a semantic analytics API layer
02:18 MIN

Introducing Cube as a semantic analytics API layer

Making Data Warehouses fast. A developer's story.

Matching Videos

The Data Mesh as the end of the Datalake as we know it
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The Data Mesh as the end of the Datalake as we know it

Mario Meir-Huber

A Data Mesh needs Open Metadata
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A Data Mesh needs Open Metadata

Ferd Scheepers

OLTP in the Lakehouse: Redefining Data for AI Workloads
24:36

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

Reference Architecture of AI in the Cloud
27:57

Reference Architecture of AI in the Cloud

Radu Vunvulea

Empowering Retail Through Applied Machine Learning
22:41

Empowering Retail Through Applied Machine Learning

Christoph Fassbach & Daniel Rohr

Building the platform for providing ML predictions based on real-time player activity
30:57

Building the platform for providing ML predictions based on real-time player activity

Artem Volk & Fabian Zillgens

Tracking vehicles at scale
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Tracking vehicles at scale

Thorsten Riess

Why Systems Break After Initial Success: The Architectural Failures That Take Months to Surface
26:37

Why Systems Break After Initial Success: The Architectural Failures That Take Months to Surface

Christian Del Monte

Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post
20:43

Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post

Lukas Alber

How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution
1:18:27

How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution

Ulrich Wurstbauer & Mohamed Nassar

Modern Data Architectures need Software Engineering
29:25

Modern Data Architectures need Software Engineering

Matthias Niehoff

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents
26:58

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Dr. Alexander Wachtel & Hanna Schwab

Conversational AI meets MS data agents to improve customer experience
23:36

Conversational AI meets MS data agents to improve customer experience

Tomasz Kacala, Marina Stefan & Alexandra Mihai

Building an AI-Ready Content Lake: Scaling RAG and Document AI Beyond Demos
42:13

Building an AI-Ready Content Lake: Scaling RAG and Document AI Beyond Demos

Angel Borroy

Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization
45:58

Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization

Andreas Christian

From Data Mesh to AI Mesh: Integrating Distributed Intelligence on Decentralized Data Architectures
45:31

From Data Mesh to AI Mesh: Integrating Distributed Intelligence on Decentralized Data Architectures

Olga Woschitz & Thomas Görz

WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More
59:42

WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More

Chris Heilmann, Daniel Cranney & Colleen Lake

AI Space Factories, Hacking Self-Driving Cars & Detecting Deepfakes
03:47

AI Space Factories, Hacking Self-Driving Cars & Detecting Deepfakes

Chris Heilmann & Daniel Cranney

Alibaba Big Data and Machine Learning Technology
43:57

Alibaba Big Data and Machine Learning Technology

Dr. Qiyang Duan

DataForce Studio
04:14

DataForce Studio

Iryna Kondrashchenko & Oleh Kostromin

Making Data Warehouses fast. A developer's story.
42:16

Making Data Warehouses fast. A developer's story.

Adnan Rahic

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases
32:46

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)
43:28

Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)

Gregor Bauer

Enjoying SQL data pipelines with dbt
26:53

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Databaseless Data Processing - High-Performance for Cloud-Native Apps and AI
30:21

Databaseless Data Processing - High-Performance for Cloud-Native Apps and AI

Markus Kett

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG
07:02

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases
28:41

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Python-Based Data Streaming Pipelines Within Minutes
39:04

Python-Based Data Streaming Pipelines Within Minutes

Bobur Umurzokov

Implementing continuous delivery in a data processing pipeline
34:00

Implementing continuous delivery in a data processing pipeline

Álvaro Martín Lozano

Industrializing your Data Science capabilities
43:47

Industrializing your Data Science capabilities

Dubravko Dolic & Hüdaverdi Cakir

Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies
48:54

Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies

Oliver Zimmert

Intelligent Data Selection for Continual Learning of AI Functions
52:10

Intelligent Data Selection for Continual Learning of AI Functions

Nico Schmidt

Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base
22:06

Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base

Lukas Kölbl

Data Science in Retail
58:21

Data Science in Retail

Julian Joseph

PySpark - Combining Machine Learning & Big Data
43:26

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Convert batch code into streaming with Python
46:43

Convert batch code into streaming with Python

Bobur Umurzokov