DW - Meta- & Master Data Mgt

GDPR stands for 'General Data Protection Regulation' which is European set of regulations aimed to better protect the privacy and thus data of its citizens. GDPR wiill be active as of 2018 and will require every company to be compliant with a set of data protection regulations such as applying proper data masking when business analysts use data or the ability of a customer to 'be forgotten'.Full details and informations can be found here.

A data lake is a storage repository in which we hold raw data in its native format

A CDO is tasked with having the big picture vision on data and information within and around the organization. This entails both governance, security and privacy of data but also includes identifying new business opportunities related to present (or not yet captured) data.

Description du data masking Description du data masking Description du data masking Description du data masking Description du data masking Description du data masking

Levels are an implementation of the hierarchies that represent the level of detail viewed in a dimension. As an example, for a time dimension hierarchy, we have levels for year, quarter, and month. 

Data latency, in a data warehouse context, is the time between the creation of data in a source system and the exact time at which the same data is available for end users on the business intelligence platform. 

Change data capture (CDC) is the process of capturing changes made at the data source and applying them throughout the enterprise. CDC minimizes the resources required for ETL (extract, transform, load) processes because it only deals with data changes. The goal of CDC is to ensure data synchronicity.