InfoQ Homepage Database Content on InfoQ
-
Big Data and Deep Learning: A Tale of Two Systems
Zhenxiao Luo explains how Uber tackles data caching in large-scale DL, detailing Uber’s ML architecture and discussing how Uber uses Big Data, concluding by sharing AI use cases.
/presentations/uber-big-data-dl-ml/en/mediumimage/Zhenxiao-Luo-m-1542321646320.jpeg)
-
The New Kid on the Block: Spring Data JDBC
Jens Schauder describes the current state of Spring Data JDBC, its features and some of the underlying design decisions, especially its DDD-based API.
/presentations/spring-data-jdbc/en/mediumimage/Jens-Schauder-m-1542268560409.jpeg)
-
Under the Hood of Reactive Data Access
Mark Paluch explains what happens inside the Spring Data 5 reactive driver and how data is accessed and provided in a reactive way.
/presentations/spring-data-5-reactive-driver/en/mediumimage/Mark-Paluch-m-1541597716610.jpeg)
-
Reactive Relational Database Connectivity
Ben Hale discusses the Reactive Relational Database Connectivity (R2DBC), explaining how the API works, the benefits of using it, and how it contrasts with the ADBC proposed as a successor to JDBC.
/presentations/r2dbc/en/mediumimage/Ben-Hale-m-1541598632317.jpeg)
-
Accelerated Spark on Azure: Seamless and Scalable Hardware Offloads in the Cloud
Yuval Degani shows how hardware accelerations in Azure can be utilized to speed-up Spark jobs, with the aid of RDMA (Remote Direct Memory Access) support in the VM.
/presentations/spark-azure-hardware-acceleration/en/mediumimage/Yuval-Degani-m-1541385111862.jpeg)
-
Making Security Usable: Product Engineer Perspective
Anastasiia Voitova goes through several stages of inception and implementation of database encryption and intrusion detection tools.
/presentations/database-encryption-detection-tools/en/mediumimage/Anastasiia-Voitova-m-1541204959916.jpeg)
-
Implementing AutoML Techniques at Salesforce Scale
Matthew Tovbin shows how to build ML models using AutoML (Salesforce), including techniques for automatic data processing, feature generation, model selection, hyperparameter tuning and evaluation.
/presentations/data-models-automl/en/mediumimage/matthew-tovbin-m-1540825690823.jpg)
-
How to Use Data Responsibly
Emma Prest and Clare Kitching discuss practical, pragmatic and ethical data science, talking about real world experience from the work of DataKind UK.
/presentations/ethics-data-science/en/mediumimage/Douabig-1535163281913.JPG)
-
Privacy Ethics – A Big Data Problem
Raghu Gollamudi broadly covers best practices with respect to Data Management aspects from mapping Enterprise data to applying Data Protection rules like GDPR at petabyte scale.
/presentations/privacy-ethics/en/mediumimage/Ragbig-1535162565603.JPG)
-
How Machines Help Humans Root Case Issues @ Netflix
Seth Katz discusses ways to build tools designed to enhance the cognitive ability of humans through automated analysis to speed root cause detection in distributed systems.
/presentations/netflix-ml-root-case/en/mediumimage/Setbig-1535161619597.JPG)
-
What is a Data Citizen?
Caitlin McDonald discusses how big data affects people online and the ethics to be considered when dealing with data.
/presentations/big-data-ethics/en/mediumimage/caitlin-mcdonald-big-data-ethics-1534529044914.jpg)
-
When Data Kills
Cori Crider shares insights from her investigations of US drone strikes in Yemen and Pakistan, and explores how misuse of mass surveillance data has claimed innocent lives.
/presentations/big-data-kills/en/mediumimage/cori-crider-big-data-kills-1534155504231.jpg)