- Präsentationen
- Dokumente
- Infografiken
Azure Synapse Analytics Overview (r2)
James Serra
•
Vor 3 Jahren
Running Apache Spark on Kubernetes: Best Practices and Pitfalls
Databricks
•
Vor 3 Jahren
Apache Kafka® and Analytics in a Connected IoT World
confluent
•
Vor 3 Jahren
Building with AWS Databases: Match Your Workload to the Right Database (DAT301) - AWS re:Invent 2018
Amazon Web Services
•
Vor 5 Jahren
Building real-time applications with Amazon ElastiCache - ADB204 - Anaheim AWS Summit
Amazon Web Services
•
Vor 5 Jahren
Real-world Streaming Architectures
confluent
•
Vor 6 Jahren
Building BMW Group's Customer Engagement Platform on AWS (AMT305) - AWS re:Invent 2018
Amazon Web Services
•
Vor 5 Jahren
Lessons learned from building practical deep learning systems
Xavier Amatriain
•
Vor 4 Jahren
Value for a Connected Vehicle (IoT)
Brian Loomis
•
Vor 8 Jahren
AMF303-Deep Dive into the Connected Vehicle Reference Architecture.pdf
Amazon Web Services
•
Vor 6 Jahren
How to build your containerization strategy
Docker, Inc.
•
Vor 5 Jahren
Effective Data Lakes: Challenges and Design Patterns (ANT316) - AWS re:Invent 2018
Amazon Web Services
•
Vor 5 Jahren
Deep Learning for Autonomous Driving
Jan Wiegelmann
•
Vor 6 Jahren
AWS Lambda Layers, the Runtime API, & Nested Applications
Amazon Web Services
•
Vor 5 Jahren
PyTorch - an ecosystem for deep learning with Soumith Chintala (Facebook AI)
Databricks
•
Vor 5 Jahren
Unifying State-of-the-Art AI and Big Data in Apache Spark with Reynold Xin
Databricks
•
Vor 5 Jahren
An Enterprise Architect's View of MongoDB
MongoDB
•
Vor 9 Jahren
Apache Spark Performance Troubleshooting at Scale, Challenges, Tools, and Methodologies with Luca Canali
Databricks
•
Vor 6 Jahren
Apache HBase + Spark: Leveraging your Non-Relational Datastore in Batch and Streaming applications
DataWorks Summit/Hadoop Summit
•
Vor 8 Jahren
The Good, The Bad and The Greys of Data Visualisation Design
Andy Kirk
•
Vor 7 Jahren