Knowledge Hut

APRIL 26, 2024

In the age of big data processing, how to store these terabytes of data surfed over the internet was the key concern of companies until 2010. Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Knowledge Hut

MARCH 27, 2024

Technologies and techniques for data analytics enable organizations to gather new information and analyze data sets on a broad scale. Answering business intelligence (BI) questions relates to the operation and performance of a business. Some important big data processing platforms are: Microsoft Azure.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 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

U-Next

AUGUST 3, 2022

An Introduction to A Data Scientist’s Roles and Responsibilities. The Big Data age in the data domain has begun as businesses cope with petabyte and exabyte-sized amounts of data. Up until 2010, it was extremely difficult for companies to store data. What are Data Scientist roles?

Retail 52

Retail Data Science Computer Science Entertainment 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. As a result, Elasticsearch is exceptionally efficient in managing structured and unstructured data.

Engineering 52

Engineering NoSQL Programming Language Java 52

ProjectPro

JULY 22, 2016

Data lake is gaining momentum across various organizations and everyone wants to know how to implement a data lake and why. There are several people writing that data lakes are replacing data warehouses but this is just another technology hype that is coming across the effective use of data.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40