Remove Data Ingestion Remove Non-relational Database Remove Relational Database Remove SQL
article thumbnail

Data Engineering Glossary

Silectis

Data Engineering Data engineering is a process by which data engineers make data useful. Data engineers design, build, and maintain data pipelines that transform data from a raw state to a useful one, ready for analysis or data science modeling.

article thumbnail

Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. Structured data is modeled to be easily searchable and occupy minimal storage space.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

100+ Big Data Interview Questions and Answers 2023

ProjectPro

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

article thumbnail

20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

With SQL, machine learning, real-time data streaming, graph processing, and other features, this leads to incredibly rapid big data processing. DataFrames are used by Spark SQL to accommodate structured and semi-structured data. DataFrames are used by Spark SQL to accommodate structured and semi-structured data.