Towards Data Science

JANUARY 16, 2024

But in order to justify why this concept came into existence, I thought it’d be great to look back in time and understand the evolution of the data landscape. Evolution of the data landscape 1980s — Inception Relational databases came into existence. Organizations began to use relational databases for ‘everything’.

Data Warehouse 64

Data Warehouse Data Architecture Relational Database NoSQL 64

ProjectPro

JUNE 6, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization So what are the pains of the BI? A data warehouse with more than 50 TB is very difficult to maintain. We know that data warehouse is very big and a very complicated tool to maintain and to meet Big Data problems.

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

Knowledge Hut

DECEMBER 26, 2023

The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data. This process helps convert the unstructured data into structured data, which can easily be collected and interpreted using analytical tools.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98