WEBINAR: Managing Risk in Decentralized Networks with Time Series 24 March 2020

Data Science Central Webinar Series Event

Managing Risk in Decentralized Networks with Time Series Join us for this latest DSC Webinar on March 24th, 2020 A distributed network is key to providing storage at lower costs than other cloud providers. By equipping customers with fast, secure and fully distributed storage, users no longer need to manage infrastructure. This platform enables applications to store and share end-to-end encrypted data across a distributed network. Discover how a time series database is a key component to their service. In this latest Data Science Central webinar, John Gleeson and Ben Sirb will dive into: The definition of a cloud object storage network The advantages of using open source software in a modern tech stack How high-volume, real-time telemetry data is used to inform key business decisions A forecast predicting the impact of node churn on object health Speakers: John Gleeson, VP of Operations -- Storj Labs International, SEZC Benjamin Sirb, PhD, Sr. Data Scientist -- Storj Labs International, SEZC Hosted by: Stephanie Glen, Editorial Director -- Data Science Central   Title:  Managing Risk in Decentralized Networks with Time Series Date:  Tuesday, March 24th, 2020 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now   After registering you will receive a confirmation email containing information about joining the Webinar.

3 tips on how to stop misusing or under-utilising corporate data by Alex Toews via @Infomgmt

Few organizations have assessed how their data can be put to work in the most productive way. This leaves them vulnerable to inefficiencies and can prevent important information from making its way 'to the top.'

A data model is a great place to start as you can begin to understand how the data relates to each other. The data dictionary is also useful as you can see which fields are repeated which is crucial if you want to understand how you can join data together from different sources. Just pay attention to formats and if any conversion needs to be done.