AltexSoft

JULY 29, 2022

No matter the actual size, each cluster accommodates three functional layers — Hadoop distributed file systems for data storage, Hadoop MapReduce for processing, and Hadoop Yarn for resource management. Today, Hadoop which combines data storage and processing capabilities remains a basis for many Big Data projects.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

AUGUST 26, 2015

The largest item on Claude Shannon’s list of items was the Library of Congress that measured 100 trillion bits of data. 1960 - Data warehousing became cheaper. 1996 - Digital data storage became cost effective than paper - according to R.J.T. Varian and Peter Lyman at UC Berkeley in computer storage terms.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

ProjectPro

SEPTEMBER 1, 2015

Hive - Comparison between the key tools of Hadoop Google’s CEO, Eric Schmidt said: “There were 5 exabytes of information created by the entire world between the dawn of civilization and 2003. Once big data is loaded into Hadoop, what is the best way to use this data? Now that same amount is created every two days.”

Hadoop 40

Hadoop Java Unstructured Data SQL 40