Knowledge Hut

DECEMBER 27, 2023

Because of its sheer diversity, it becomes inherently complex to handle big data; resulting in the need for systems capable of processing the different structural and semantic differences of big data. The more effectively a company is able to collect and handle big data the more rapidly it grows.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

AUGUST 24, 2021

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. This big data project discusses IoT architecture with a sample use case.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

DECEMBER 14, 2021

Data insights, improved quality, and correct data condensed in a single document have become more critical. Companies interested in harnessing data should invest in a business intelligence system. Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization.

BI 52

BI Project Business Intelligence Datasets 52