Knowledge Hut

JUNE 30, 2023

The essential theories, procedures, and equipment for creating trustworthy and effective data systems are covered in this book. It explores subjects including data modeling, data pipelines, data integration, and data quality, offering helpful advice on organizing and implementing reliable data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

OCTOBER 5, 2023

AWS Big Data specialists should thoroughly understand programming languages such as C and C++, technological applications, and cloud environments. Besides, they should be well-versed in data analysis and statistics. Data structures, data modeling, and programming skills are essential.

Big Data 52

Big Data AWS Certification Amazon Web Services 52

ProjectPro

NOVEMBER 10, 2016

Candidates can master Hadoop skills by working on hands-on projects which can be appealing to companies who are looking to scrutinize candidates on their ability to deliver real-world big data solutions. There are at least 16% hadoopers with Python and 6% hadoopers with R programming expertise.

Hadoop 52

Hadoop NoSQL Java Electronics 52

ProjectPro

AUGUST 21, 2015

IBM has a nice, simple explanation for the four critical features of big data: a) Volume –Scale of data b) Velocity –Analysis of streaming data c) Variety – Different forms of data d) Veracity –Uncertainty of data Here is an explanatory video on the four V’s of Big Data 3.

Hadoop 40

Hadoop Big Data Metadata Java 40