U-Next

MARCH 1, 2023

The data engineering process involves the creation of systems that enable the collection and utilization of data. Analyzing this data often involves Machine Learning, a part of Data Science. What is a data warehouse? How does a data warehouse differ from a database?

Data Engineer 75

Data Engineer Data Engineering Non-relational Database Engineering 75

Knowledge Hut

JUNE 23, 2023

You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

AltexSoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

JANUARY 24, 2024

You should be data-driven if you want to pursue your career in Business Intelligence, Analytics, or Data Science. Connectivity with Live and In-Memory Data Allows the user to freely combine data from several types of data sources. It also works faster on large data sets with greater efficiency.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. MySQL An open-source relational databse management system with a client-server model.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Knowledge Hut

SEPTEMBER 22, 2023

Microsoft Azure Data Engineer Certification Career Opportunities I have seen data engineers finding employment in businesses or on projects focusing on a variety of industries, including artificial intelligence ( AI ), software, data analytics , healthcare, IT, retail, marketing , government, transportation, and more.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Cloud Academy

JANUARY 27, 2022

Regular expressions can be used in all data formats and platforms. For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON. This includes understanding the AWS data analysis services and how they interact with one another.

Certification 52

Certification Data Engineer Data Engineering Engineering 52