Try:

ETL: Building and Optimizing Data Pipelines

Explore talks on designing scalable ETL pipelines. Topics include data quality, performance tuning, batch vs. stream processing, and using modern tools like Airflow, Spark, and Kafka.

Matching moments

Using an ETL pipeline for configuration management
03:45 MIN

Using an ETL pipeline for configuration management

Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company

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

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.

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

Building a data aggregation and enrichment pipeline
04:09 MIN

Building a data aggregation and enrichment pipeline

100 million days in Vienna: A story of APIs & AI in tourism.

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

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

Why modern applications adopt event streaming
04:18 MIN

Why modern applications adopt event streaming

Event Messaging and Streaming with Apache Pulsar

Building versioned data pipelines with feature stores
07:36 MIN

Building versioned data pipelines with feature stores

DevOps for Machine Learning

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

Implementing the ETL process with Jenkins and S3
01:59 MIN

Implementing the ETL process with Jenkins and S3

Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company

Understanding the modern cloud data platform
02:12 MIN

Understanding the modern cloud data platform

Modern Data Architectures need Software Engineering

Common patterns for concurrent architectures
08:06 MIN

Common patterns for concurrent architectures

Concurrency with Go

Addressing the core failures of traditional data approaches
06:27 MIN

Addressing the core failures of traditional data approaches

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

Introducing dbt for structured SQL data transformations
04:19 MIN

Introducing dbt for structured SQL data transformations

Enjoying SQL data pipelines with dbt

Implementing retrieval augmented generation with a vector store
04:50 MIN

Implementing retrieval augmented generation with a vector store

Building AI-Driven Spring Applications With Spring AI

Applying software engineering practices to data pipelines
03:47 MIN

Applying software engineering practices to data pipelines

Enjoying SQL data pipelines with dbt

Ingesting and processing legacy EDI data with Apache Camel
09:09 MIN

Ingesting and processing legacy EDI data with Apache Camel

Enterprise Integration Is Dead! Long Live AI-Driven Integration with Apache Camel

How the OpenTelemetry data pipeline works
03:19 MIN

How the OpenTelemetry data pipeline works

Telemetry without the 'Tool Tax'

Combining OpenTelemetry data with the Elastic stack
03:15 MIN

Combining OpenTelemetry data with the Elastic stack

Observability with OpenTelemetry & Elastic

Using Egeria for unified search and regulatory compliance
05:49 MIN

Using Egeria for unified search and regulatory compliance

A Data Mesh needs Open Metadata

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

Building reliable event-driven microservices with TEQ
04:32 MIN

Building reliable event-driven microservices with TEQ

Kubernetes and Microservices with Multi-Model Databases

Visualizing application performance with an Elastic dashboard
03:09 MIN

Visualizing application performance with an Elastic dashboard

Observability with OpenTelemetry & Elastic

Implementing and running data quality tests
00:47 MIN

Implementing and running data quality tests

Enjoying SQL data pipelines with dbt

Implementing unit, integration, and data quality tests
01:25 MIN

Implementing unit, integration, and data quality tests

Modern Data Architectures need Software Engineering

Using the Modern Data Stack and DBT for transformations
05:00 MIN

Using the Modern Data Stack and DBT for transformations

Modern Data Architectures need Software Engineering

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

Building a searchable product catalog pipeline
03:53 MIN

Building a searchable product catalog pipeline

Kafka Streams Microservices

Practical applications and use cases for TEEs
05:06 MIN

Practical applications and use cases for TEEs

This Machine Ends Data Breaches

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

Owning and exporting your telemetry data with OTel
03:25 MIN

Owning and exporting your telemetry data with OTel

Telemetry without the 'Tool Tax'

Understanding the collector's processing pipeline
04:45 MIN

Understanding the collector's processing pipeline

Hands on with OpenTelemetry

Deploying data selection triggers to the vehicle fleet
05:06 MIN

Deploying data selection triggers to the vehicle fleet

Intelligent Data Selection for Continual Learning of AI Functions

Understanding dbt's core benefits and limitations
02:00 MIN

Understanding dbt's core benefits and limitations

Enjoying SQL data pipelines with dbt

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

Matching Videos

Alibaba Big Data and Machine Learning Technology
43:57

Alibaba Big Data and Machine Learning Technology

Dr. Qiyang Duan

Introduction to Azure Machine Learning
54:27

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

Modern Data Architectures need Software Engineering
29:25

Modern Data Architectures need Software Engineering

Matthias Niehoff

Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company
17:31

Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company

Axel Barbier

Building AI-Driven Spring Applications With Spring AI
32:14

Building AI-Driven Spring Applications With Spring AI

Timo Salm & Sandra Ahlgrimm

Enjoying SQL data pipelines with dbt
26:53

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Every CEO needs a digital twin to understand the scope of generative AI
30:30

Every CEO needs a digital twin to understand the scope of generative AI

Kai Mueller & Sebastian Luxem

Fully Orchestrating Databricks from Airflow
39:14

Fully Orchestrating Databricks from Airflow

Alan Mazankiewicz

A Data Mesh needs Open Metadata
38:36

A Data Mesh needs Open Metadata

Ferd Scheepers

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

100 million days in Vienna: A story of APIs & AI in tourism.
43:11

100 million days in Vienna: A story of APIs & AI in tourism.

Thomas Reiter

Concurrency with Go
56:19

Concurrency with Go

Frank Müller

Hands on with OpenTelemetry
53:57

Hands on with OpenTelemetry

Nočnica Mellifera

Telemetry without the 'Tool Tax'
24:30

Telemetry without the 'Tool Tax'

Ben Greenberg

Observability with OpenTelemetry & Elastic
30:29

Observability with OpenTelemetry & Elastic

Iulia Feroli

Why make use of an integration platform in today's software developments and infrastructure?
18:57

Why make use of an integration platform in today's software developments and infrastructure?

Nils Hünerberg

Implementing continuous delivery in a data processing pipeline
34:00

Implementing continuous delivery in a data processing pipeline

Álvaro Martín Lozano

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

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

Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata
32:12

Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata

Clemens Vasters

Valven Atlas: Engineering Intelligence That Delivers
04:48

Valven Atlas: Engineering Intelligence That Delivers

Serdar Bicer

Transforming Task Management: Integrating Camunda with Scalable Frontend Solutions
27:33

Transforming Task Management: Integrating Camunda with Scalable Frontend Solutions

Kevin Kaiser & Ludwig Wrabel

Empowering Retail Through Applied Machine Learning
22:41

Empowering Retail Through Applied Machine Learning

Christoph Fassbach & Daniel Rohr

All your telemetry data from any source in one place
2:01:25

All your telemetry data from any source in one place

Liam Hurrell

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

The Evolution of Enterprise Java with Jakarta EE 11 and Beyond
30:16

The Evolution of Enterprise Java with Jakarta EE 11 and Beyond

Ivar Grimstad

Unlocking Value from Data: The Key to Smarter Business Decisions-
28:29

Unlocking Value from Data: The Key to Smarter Business Decisions-

Taqi Jaffri, Kapil Gupta & Farooq Sheikh and Tomislav Tipurić

Enterprise Integration Is Dead! Long Live AI-Driven Integration with Apache Camel
32:24

Enterprise Integration Is Dead! Long Live AI-Driven Integration with Apache Camel

Bruno Meseguer & Markus Eisele

The user in the eye of the Cargo1492 storm
47:10

The user in the eye of the Cargo1492 storm

Martin Nader

Convert batch code into streaming with Python
46:43

Convert batch code into streaming with Python

Bobur Umurzokov

Data Science in Retail
58:21

Data Science in Retail

Julian Joseph

Tips, Techniques, and Common Pitfalls Debugging Kafka
54:29

Tips, Techniques, and Common Pitfalls Debugging Kafka

DeveloperSteve

Dirty Tests And How To Clean Them
54:58

Dirty Tests And How To Clean Them

Gil Zilberfeld

The future of automotive mobility: Upcoming E/E architectures, V2X and its challenges
1:47:33

The future of automotive mobility: Upcoming E/E architectures, V2X and its challenges

Georg Kühberger & Manuel Pascual

Tolgee: Open-Source, In-Context AI Localization That Cuts Dev Effort
03:36

Tolgee: Open-Source, In-Context AI Localization That Cuts Dev Effort

Jan Cizmar

Dev & Test in the Cloud? Deploy your cloud environments with Ansible & Terraform
22:41

Dev & Test in the Cloud? Deploy your cloud environments with Ansible & Terraform

Goetz Rieger