AI News, Agile Data Science 2.0
- On Sunday, September 30, 2018
- By Read More
Agile Data Science 2.0
This talk will cover the full lifecycle of large data application development and will show how to use lessons from agile software engineering to apply data science using this full-stack to build better analytics applications.
The system starts with plumbing, moving on to data tables, charts and search, through interactive reports, and building towards predictions in both batch and realtime (and defining the role for both), the deployment of predictive systems and how to iteratively improve predictions that prove valuable.
- On Saturday, December 7, 2019
Real-time data streams with Apache Kafka and Spark : Build 2018
This action-packed session will show you how to keep up with the ever-increasing stream of data that developers are tasked with processing. From ingestion ...
The Developer Data Scientist – Creating New Analytics Driven Applications using Apache Spark
The developer world is changing as we create and generate new data patterns and handling processes within our applications. Additionally, with the massive ...
Sourabh Bajaj - Data processing with Apache Beam
Description In this talk, we present the new Python SDK for Apache Beam - a parallel programming model that allows one to implement batch and streaming ...
Developing Real-Time Data Pipelines with Apache Kafka
Speaker: Joe Stein Big Data Track Slides: Developing ..
Deploying an Angular 4 App
This video is from my Free Angular 4 Course: Written tutorial: for mo
Building Robust ETL Pipelines with Apache Spark - Xiao Li
Stable and robust ETL pipelines are a critical component of the data infrastructure of modern enterprises. ETL pipelines ingest data from a variety of sources and ...
Building Apps with Distributed In-Memory Computing using Apache Geode
In this Meetup, we cover an introduction to the Apache Geode (incubating) project, an open source in-memory data grid based on the technology developed in ...
How to Build a Data Pipeline on Apache Kafka by Etsy Developers
Don't miss the next DataEngConf in Barcelona: For more tech talks and to network with other engineers, check out our site ..
2. Creating a Streams Application | Apache Kafka® Streams API
Write an app: | Building a Streams application is easy. With just a few lines of configuration, you're ready to start ..
Four Distributed Systems Architectural Patterns by Tim Berglund
Subscribe to Devoxx on YouTube @ Like Devoxx on Facebook @ Follow Devoxx on Twitter .