BIG DATA CONFERENCE
Vilnius and Online
In-Database Machine Learning with Jupyter
Learn about new architectures that successfully supply the needs of both business analysts and data scientists. Get a peek at the future.
Development of a Kafka-Powered Advanced Stream Commerce Platform
Since the GoLive platform itself is built on top of Kafka, we also will highlight the advantages of using the same streaming platform to achieve asynchronous communication between micro-services and real-time web-socketing.
Designing Great Data Products via SLOs
By exploring Service Level Objective theory, we’ll explore how to intentionally design effective and governable data products and how to move them into a state of automated data governance.
Real Time Streaming Data from AWS MSK Kafka to Cloudera
This Session will be on the real Use Case he did on a huge Medical Company, using open-source tools to get real-time data incrementally from Relation Database to Cloudera, will be a live demonstration on Getting events from Kafka and Data from RDS streamed to Cloudera using Stream sets Data Collector tools.
Real-Time Streaming in Any and All Clouds, Hybrid and Beyond
Today, data is being generated from devices and containers living at the edge of networks, clouds and data centers. We need to run business logic, analytics and deep learning at the scale and as events arrive.
The Honest Review of Amazon SageMaker
He wants to present when Amazon SageMaker shines and when you should avoid it. Everything is supported by the experiences that we – at Pattern Match – have gained on real-world projects.