Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. Let us first get a clear understanding of why Data Science is important. What is the need for Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

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. The following are the key advantages that make Elasticsearch a great choice for data search and analytics.

Engineering 52

Engineering NoSQL Programming Language Java 52

Databand.ai

DECEMBER 29, 2022

He believes in making data do the work through proper data management based on strategic rationale and business alignment. On LinkedIn, he posts frequently about big data, master data, data science, data management, and data storytelling.

BI 52

BI Consulting Data Science Data Governance 52

AltexSoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. Data use component in a modern data stack.

IT 59

IT Data Warehouse Data Governance Data Lake 59