Knowledge Hut

NOVEMBER 7, 2023

Applications of Cloud Computing in Data Storage and Backup Many computer engineers are continually attempting to improve the process of data backup. Previously, customers stored data on a collection of drives or tapes, which took hours to collect and move to the backup location.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

JUNE 4, 2015

Hadoop common provides all Java libraries, utilities, OS level abstraction, necessary Java files and script to run Hadoop, while Hadoop YARN is a framework for job scheduling and cluster resource management. 2) Hadoop Distributed File System (HDFS) - The default big data storage layer for Apache Hadoop is HDFS.

Hadoop 52

Hadoop Architecture IT Java 52

Knowledge Hut

DECEMBER 26, 2023

This includes everything from the front-end design and user experience to the back-end data storage and security. The user experience, front-end design, and back-end data storage are all considered. It was founded in 2010 by Bhavish Aggarwal and Ankit Bhati. The company is headquartered in Bangalore, India.

Food 52

Food Programming Language Transportation Manufacturing 52

AltexSoft

SEPTEMBER 21, 2023

In this edition of “The Good and The Bad” series, we’ll dig deep into Elasticsearch — breaking down its functionalities, advantages, and limitations to help you decide if it’s the right tool for your data-driven aspirations. It is developed in Java and built upon the highly reputable Apache Lucene library.

Engineering 52

Engineering NoSQL Programming Language Java 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

MARCH 27, 2024

Let's check some big data analytics tools examples and software used in big data analytics. Listed below are the top and the most popular tools for big data analytics : 1. Data from one server can be processed by multiple structured and unstructured computers, and users of Hadoop can also access it across multiple platforms.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

JANUARY 19, 2022

Data Engineering Requirements Here is a list of skills needed to become a data engineer: Highly skilled at graduation-level mathematics. Good skills in computer programming languages like R, Python, Java, C++, etc. Supports big data technology well. Supports high availability for data storage.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52