Smart Data Collective

SEPTEMBER 23, 2020

Data Warehouse. Data Type: Historical which has been structured in order to suit the relational database diagram Purpose: Business decision analytics Users: Business analysts and data analysts Tasks: Read-only queries for summarizing and aggregating data Size: Just stores data pertinent to the analysis.

Data Lakes 135

Data Lakes Data Warehouse Big Data Big Data 135

Pickl AI

NOVEMBER 15, 2023

IoT and Manufacturing Data Lake A manufacturing company harnesses the power of a Data Lake to manage and analyze data generated by Internet of Things (IoT) devices embedded in its production lines. This includes sensor data from machinery, real-time performance metrics, and maintenance logs.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

Pickl AI

JULY 20, 2023

Web and App Analytics Projects: These projects involve analyzing website and app data to understand user behaviour, improve user experience, and optimize conversion rates. Big data technology, data pretreatment, statistical analysis, and machine learning methodologies must be thoroughly understood for these applications.

Analytics 40

Analytics Analytics Big Data Big Data 40