U-Next

AUGUST 17, 2022

Data Engineer roles and responsibilities have certain important components, such as: Refining the software development process using industry standards. Identifying and fixing data security flaws to shield the company from intrusions. Employing data integration technologies to get data from a single domain.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Knowledge Hut

MARCH 26, 2024

Data Solutions Architect Role Overview: Design and implement data management, storage, and analytics solutions to meet business requirements and enable data-driven decision-making. Role Level: Mid to senior-level position requiring expertise in data architecture, database technologies, and analytics platforms.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

JUNE 20, 2023

Apache Spark, Microsoft Azure, Amazon Web services, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. The generalist position would suit a data scientist looking for a transition into a data engineer.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 27, 2023

Variety : Refers to the professed formats of data, from structured, numeric data in traditional databases, to unstructured text documents, emails, videos, audios, stock ticker data and financial transactions. Some examples of Big Data: 1. However, big data analytics and using big data tools must be learned.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Knowledge Hut

JULY 3, 2023

Studying data in deeper detail can help to identify the inefficiencies, bottlenecks or anomalies hence leading to quick actions resulting in efficient operations and reduced costs. Appreciated Customer Experience: The industry focuses on customer-centric approaches to enhance the overall customer experience.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

ProjectPro

JULY 30, 2021

Compared to Cloud computing, Mobile computing is more customer-centric. In contrast, customer-oriented cloud computing aims at the enterprise level and deals with organisations and their services. Cloud-Native are technologies and services built to leverage cloud architecture. What is Cloud Computing? Why use Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

phData: Data Engineering

JULY 18, 2023

First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse. Central Source of Truth for Analytics A Cloud Data Warehouse (CDW) is a type of database that provides analytical data processing and storage capabilities within a cloud-based infrastructure.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52