Big Data Days 2020

24-26 ноябр

Онлайн

Доклады

James Serra

Big Data/Data Warehouse Evangelist

USA, Microsoft

Talk

Azure Synapse Analytics Overview

James will talk about the new products and features that make up Azure Synapse Analytics and how it fits in a modern data warehouse, as well as provide demonstrations.

Read more…

Data Lake
Azure Synapse Analytics

Barr Moses

CEO & Co-Founder of Data/Analytics Startup Backed by Top Silicon Valley Investors

USA, Monte Carlo

Talk

Making Data Downtime a Pillar of Your Data Strategy

Barr will introduce the concept of “data downtime” — periods of time when data is partial, erroneous, missing or otherwise inaccurate. Data downtime is highly costly for organizations, yet is often addressed ad hoc. She’ll discuss why data downtime matters to the data industry and tactics best-in-class organizations use to address it — including org structure, culture, and technology.

Read more…

Data Reliability
Data Quality
Data Strategy

Carlos Manuel Duclos-Vergara

Software Engineer

Norway, Schibsted

Talk

Processing Billions of Events a Day Using Kafka and Kafka Streams

Designing a system to cope with loads of billions of events is harder than it seems. In this talk the presenter will go through the most common use cases and pitfalls and provide tips and good practices about how to design systems to avoid them.

Read more…

Kafka
Streaming
Schibsted

Cristian Prevedello

Hands-On Chief Architect

Italy, PREVINET 

Talk

Real-Time Stream Processing for Insurance & Health Care With Kafka, Kafka Streams and Multi-Runtime Microservices

As a service provider for insurance companies, pension & healthcare funds we rolled out a resilient stream processing platform running in kubernetes that we can scale out horizontally to integrate different microservices developed in different languages like java, scala or python.

Read more…

Microservices
Streaming
Kafka
Kubernetes

Daniel Wrigley

Senior Search & Analytics Consultant

Germany, SHI GmbH 

Talk

Adding AI Cloud Services to Your On-Prem Data Workflows for NLP & Content Enrichment

In this presentation Daniel will show how on-premise data processing or indexing pipelines can be extended by cloud services to get more out of your unstructured data while bypassing all the above-mentioned challenges saving time and money.

Read more…

Cloud
Streaming
NLP
NiFi

Diego Hueltes

Machine Learning Manager

Spain, RavenPack

Talk

From the Earth to the Moon: Lessons from the Space Race to Apply in Machine Learning Projects

The space race was a EEUU – Soviet Union competition to conquer the space. This competence helped to develop space technology in an incredible manner, developing other derivative technologies as a side effect.

Read more…

Machine Learning
AI
Project Management

Dr. Christoph Zimmermann

European Open Source Thought Leader

Germany, Redis Labs

Talk

Redis: a Multi-Model DB for IoT and Beyond

An overview of Redis, an open-source multi-model NoSQL DB as a foundation for Big Data projects in the Internet of Things ecosystem and beyond.

Read more…

NoSQL
IoT
Redis

Einat Orr

CEO and Co-Founder of Data Lake Management Platform

Israel, Treeverse

Talk

Data Versioning – What Does it Mean?

In this talk we will go over the difference between these solutions by clustering them according to 4 main use cases:
1. Collaboration over data: enabling teams to collaborate over data over time, while contributing to the data evolution.
2. Managing ML pipelines: allowing pipeline management of ML projects, from model creation to production.

Read more…

Data Lake
Data Versioning

John Mertic

Director of Program Management

USA, Linux Foundation

Talk

The New ODPi – Moving from Standards to a Vendor-Neutral Home for Big Data Open Source

In this talk, learn about the new ODPi, how it’s leverage the expertise of the Linux Foundation in hosting vendor-neutral open source projects, and how you can bring your project to ODPi.

Read more…

ODPi Egeria
Open Source

Kane Wu

Co-founder and CEO of ThinkCol Transform

Hong Kong, ThinkCol

Talk

Data Science Case Studies and Formulation of AI Roadmap

From discussing what is AI to practical case studies of AI, Kane will discuss how companies in Hong Kong and world wide uses AI to create business values.

Read more…

Machine Learning
Data Science

Mandy Chessell

IBM Distinguished Engineer, Master Inventor

UK, ODPi TSC & ODPi Egeria & IBM

Talk

Graph Processing for Open Metadata and Governance

Learn how ODPi Egeria uses its distributed virtual graph to connect metadata about an enterprise’s data and IT services from many different tools and then apply governance across this landscape.

Read more…

Metadata
Governance
Open Source

Marko Topolnik

Software Engineer

Croatia, Hazelcast

Talk

Real-Time Streaming with Python ML Inference

In this talk Marko will show one approach which allows you to write a low-latency, auto-parallelized and distributed stream processing pipeline in Java that seamlessly integrates with a data scientist’s work taken in almost unchanged form from their Python development environment.

Read more…

Java
Python
ML
Streaming

Mats Adamczak

Data Scientist

Finland, paf

Talk

The Importance of Good Data Quality and Understanding of Visitor Behavior

In the session, Mats goes through how to measure a person’s journey from being a person in an interesting segment to becoming a customer. He also tells you how to get high data quality on your web visitors so that you can use it in machine learning in Facebook and google.

Read more…

Data Quality
Behavior Economics

« Hазад