Online Events

Due to time zones, events presented by American speakers will be spread over more days, and will take place in the afternoon from 2 pm to 6 pm Italian time

Agile Data Science 2.0

ONLINE LIVE STREAMING

Oct 25 - Oct 29, 2021

By: Russell Jurney

Understanding DataOps to Deliver Analytics Better and Faster

ONLINE LIVE STREAMING

Nov 02, 2021

By: John O'Brien

Incorporating Big Data, Hadoop and NoSQL in Data Warehouse and Business Intelligence Systems

ONLINE LIVE STREAMING

Nov 03 - Nov 04, 2021

By: Rick van der Lans

Designing, developing and deploying a Microservices Architecture

ONLINE LIVE STREAMING

Nov 05, 2021

By: Sander Hoogendoorn

Data Visualisation

ONLINE LIVE STREAMING

Nov 08 - Nov 09, 2021

By: Andy Kirk

User Experience Design

ONLINE LIVE STREAMING

Nov 09 - Nov 12, 2021

By: James Hobart

Practical Steps for Building a Data Strategy and Governance

ONLINE LIVE STREAMING

Nov 15 - Nov 16, 2021

By: Christopher Bradley

Designing, operating and managing a Multi-purpose Data Lake

ONLINE LIVE STREAMING

Nov 22 - Nov 23, 2021

By: Mike Ferguson

Machine Learning and Advanced Analytics

ONLINE LIVE STREAMING

Nov 24 - Nov 25, 2021

By: Mike Ferguson

Free article of the month

October 2021

Upcoming events by this speaker:

Dec 1 – Dec 2, 2021:
Data Mesh, Data Fabric

Now-Data Fabric, Mesh and a Lakehouse

The first time I heard the words data warehouse was in 1985. A new and inexperienced systems architect, I was a member of a tiny team in IBM Ireland’s internal software laboratory. We had been asked to propose a new approach to providing consistent, reliable management information to sales and finance teams in IBM Europe who were struggling as the business underwent significant change in the types and range of hardware and software products being sold.

The technology solution was pre-set as the then emerging relational databases and would showcase IBM’s DB2 that had launched in 1983. Although relational databases would conquer the world by the mid-90s, at the time, they couldn’t match the power and function of the then dominant hierarchical databases, such as IMS, in operational systems. DB2 was looking for a market niche, and decision support was chosen.

                                                                                                                           …continue to read

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