ProjectPro

OCTOBER 15, 2014

Generally data to be stored in the database is categorized into 3 types namely Structured Data, Semi Structured Data and Unstructured Data. We generally refer to Unstructured Data as “Big Data” and the framework that is used for processing Big Data is popularly known as Hadoop.

Hadoop 52

Hadoop Java Unstructured Data SQL 52

AltexSoft

MAY 14, 2021

A single car connected to the Internet with a telematics device plugged in generates and transmits 25 gigabytes of data hourly at a near-constant velocity. And most of this data has to be handled in real-time or near real-time. Variety is the vector showing the diversity of Big Data. Apache Hadoop. Hadoop architecture layers.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

NOVEMBER 17, 2023

In 2006, Amazon launched AWS to handle its online retail operations. Data scientists widely adopt these tools due to their immense benefits. Data Storage Data scientists can use Amazon Redshift. It allows you to execute complex queries on structured and unstructured data. Below are some tools.

AWS 52

AWS Data Science Certification Amazon Web Services 52

ProjectPro

JANUARY 24, 2023

Additionally, columnar storage allows BigQuery to compress data more effectively, which helps to reduce storage costs. BigQuery enables users to store data in tables, allowing them to quickly and easily access their data. It supports structured and unstructured data, allowing users to work with various formats.

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52

AltexSoft

JULY 29, 2022

Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. a suitable technology to implement data lake architecture. In September 2021 Snowflake announced the public preview of the unstructured data management functionality.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59