Try:

Data Warehouse Architecture, Design, and Implementation

Talks on building and scaling data warehouses. Topics include ETL/ELT pipelines, dimensional modeling, and using cloud platforms like BigQuery, Redshift, and Snowflake for analytics.

Matching moments

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 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.

Introducing dbt for structured SQL data transformations
04:19 MIN

Introducing dbt for structured SQL data transformations

Enjoying SQL data pipelines with dbt

Why use Functions as an Event Grid handler
03:08 MIN

Why use Functions as an Event Grid handler

Functions Triggers using Azure Event Grids in Azure Blob Storage

Understanding the modern cloud data platform
02:12 MIN

Understanding the modern cloud data platform

Modern Data Architectures need Software Engineering

Addressing the extraction and loading phases of ELT
01:03 MIN

Addressing the extraction and loading phases of ELT

Enjoying SQL data pipelines with dbt

Ingesting data from ERP, CRM, and warehouse systems
05:36 MIN

Ingesting data from ERP, CRM, and warehouse systems

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

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.

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.

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

Live demo of data analysis with DataWorks
05:13 MIN

Live demo of data analysis with DataWorks

Alibaba Big Data and Machine Learning Technology

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

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

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

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

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

Why use WebAssembly for in-database analytics
06:35 MIN

Why use WebAssembly for in-database analytics

Using WebAssembly for in-database Machine Learning

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

Understanding the primary use cases for distributed databases
01:24 MIN

Understanding the primary use cases for distributed databases

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

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

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

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

The converged database model for modern applications
02:28 MIN

The converged database model for modern applications

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

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

Managing petabyte-scale analytics data with ClickHouse

Scaling: from 0 to 20 million users

Visualizing the complete data flow with materialized views
01:14 MIN

Visualizing the complete data flow with materialized views

Implementing an Event Sourcing strategy on Azure

Q&A: Raw data formats and comparing dbt to Spark
01:29 MIN

Q&A: Raw data formats and comparing dbt to Spark

Enjoying SQL data pipelines with dbt

Modern data architectures and the reality of team size
03:59 MIN

Modern data architectures and the reality of team size

Modern Data Architectures need Software Engineering

Demo: Discovering data with the knowledge catalog
05:06 MIN

Demo: Discovering data with the knowledge catalog

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

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

Identifying key use cases for a cloud database
02:03 MIN

Identifying key use cases for a cloud database

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

Comparing converged vs single-purpose database architectures
05:03 MIN

Comparing converged vs single-purpose database architectures

Crypto-secure Data Management with In-Database Blockchain

Using production metadata for data-driven performance optimization
05:01 MIN

Using production metadata for data-driven performance optimization

How building an industry DBMS differs from building a research one

Building a searchable product catalog pipeline
03:53 MIN

Building a searchable product catalog pipeline

Kafka Streams Microservices

How to evaluate and choose a distributed SQL database
02:00 MIN

How to evaluate and choose a distributed SQL database

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

Matching Videos

The Data Mesh as the end of the Datalake as we know it
37:21

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

Mario Meir-Huber

Reference Architecture of AI in the Cloud
27:57

Reference Architecture of AI in the Cloud

Radu Vunvulea

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

Making Data Warehouses fast. A developer's story.

Adnan Rahic

Modern Data Architectures need Software Engineering
29:25

Modern Data Architectures need Software Engineering

Matthias Niehoff

Enjoying SQL data pipelines with dbt
26:53

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Alibaba Big Data and Machine Learning Technology
43:57

Alibaba Big Data and Machine Learning Technology

Dr. Qiyang Duan

Practical Change Data Streaming Use Cases With Debezium And Quarkus
52:15

Practical Change Data Streaming Use Cases With Debezium And Quarkus

Alex Soto

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

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

Piotr Menclewicz

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

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

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

Event Messaging and Streaming with Apache Pulsar
57:19

Event Messaging and Streaming with Apache Pulsar

Mary Grygleski

IKEA Story: Transforming an Iconic Retail Brand
27:33

IKEA Story: Transforming an Iconic Retail Brand

Parag Parekh

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

Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!
29:34

Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!

Falk-Moritz Schaefer

Empowering Retail Through Applied Machine Learning
22:41

Empowering Retail Through Applied Machine Learning

Christoph Fassbach & Daniel Rohr

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

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

Crypto-secure Data Management with In-Database Blockchain
29:27

Crypto-secure Data Management with In-Database Blockchain

Wei Hu

Database DevOps with Containers
39:15

Database DevOps with Containers

Rob Richardson

Database Magic behind 40 Million operations/s
24:22

Database Magic behind 40 Million operations/s

Jürgen Pilz

Databases on Kubernetes: Why you should care
45:49

Databases on Kubernetes: Why you should care

Denis Wilson Souza Rosa & Steffen Schneider

DataForce Studio
04:14

DataForce Studio

Iryna Kondrashchenko & Oleh Kostromin

Automated MS SQL Server database deployments with dacpacs and Azure DevOps
39:35

Automated MS SQL Server database deployments with dacpacs and Azure DevOps

Sebastian Wolff

Fully Orchestrating Databricks from Airflow
39:14

Fully Orchestrating Databricks from Airflow

Alan Mazankiewicz

How building an industry DBMS differs from building a research one
30:34

How building an industry DBMS differs from building a research one

Markus Dreseler

Implementing continuous delivery in a data processing pipeline
34:00

Implementing continuous delivery in a data processing pipeline

Álvaro Martín Lozano

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

Databases on Kubernetes
48:45

Databases on Kubernetes

Denis Souza Rosa

Using WebAssembly for in-database Machine Learning
58:53

Using WebAssembly for in-database Machine Learning

Akmal Chaudhri

Kubernetes and Microservices with Multi-Model Databases
29:30

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

Industrializing your Data Science capabilities
43:47

Industrializing your Data Science capabilities

Dubravko Dolic & Hüdaverdi Cakir

Swapping Low Latency Data Storage Under High Load
22:32

Swapping Low Latency Data Storage Under High Load

George Asafev

Data Science in Retail
58:21

Data Science in Retail

Julian Joseph

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

In-Memory Computing - The Big Picture
30:36

In-Memory Computing - The Big Picture

Markus Kett