Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Knowledge Hut

MAY 31, 2023

Top Database Project Ideas Using PostgreSQL PostgreSQL is an open-source relational database management system. To implement this project, you could utilize Java for the frontend UI, backend logic, and integration with PostgreSQL for storing and managing all data related to appointments and contacts.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

JULY 24, 2023

In-memory Databases For applications that demand real-time data processing, in-memory databases are created. These databases use RAM-based data storage, which offers quicker access and response times than disk-based storage. These databases give users more freedom in how to organize and use data.

Database 52

Database NoSQL Management Relational Database 52

Knowledge Hut

NOVEMBER 28, 2023

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Big resources still manage file data hierarchically using Hadoop's open-source ecosystem.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

Knowledge Hut

JULY 26, 2023

Amazon RDS (Relational Database Service) is a service provided by AWS for maintaining relational databases such as MySQL, PostgreSQL, SQL Server, and Oracle. Facebook, on the other hand, as a social media giant, has created its own database solutions to handle large amounts of user data. Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Data pipelines can be automated and maintained so that consumers of the data always have reliable data to work with.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

AltexSoft

JUNE 26, 2023

Find sources of relevant data. Choose data collection methods and tools. Decide on a sufficient data amount. Set up data storage technology. Below, we’ll elaborate on each step one by one and share our experience of data collection. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52