Data Automation, Data Modelling, Data Visualization and Visualization

Here’s Why Automation For Data Lakes Could Be Important

Smart Data Collective

APRIL 2, 2019

The primary reason data lakes were so attractive to companies was the promise of agile processing of data in order to provide real-time (or near real-time) results on data sets. In order for this to even be possible, the data visualization aspect needs to be streamlined to show exactly what the user wants to see.

Big Data

Big Data Agile Data Analytics Data Analytics

The Complete Guide to Reverse ETL

Astera

JANUARY 25, 2024

Guide to the Workflow of Reverse ETL There are four main aspects to reverse ETL: Data Source: It refers to the origin of data, like a website or a mobile app. Data Models: These define the specific sets of data that need to be moved.

E-Commerce

E-Commerce Data Warehouse Retail Customer Experience

Business Analysis Digest

Here’s Why Automation For Data Lakes Could Be Important

The Complete Guide to Reverse ETL

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