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