Remove Database Design Remove High Quality Data Remove Process Remove Programming
article thumbnail

Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

Data Engineering Podcast

When Paul Dix decided to re-write the InfluxDB engine he found the Apache Arrow ecosystem ready and waiting with useful building blocks to accelerate the process. In this episode he explains how he used the combination of Apache Arrow, Flight, Datafusion, and Parquet to lay the foundation of the newest version of his time-series database.

Database 162
article thumbnail

Six Books that Have Shaped My Data Career

Towards Data Science

Great reads on modeling, processes, and leadership Photo by Emil Widlund on Unsplash At the very start of my journey in data, I thought I was going to be a data scientist, and my first foray into data was centered on studying statistics and linear algebra, not software engineering or database management.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Normalization in DBMS: 1NF, 2NF, 3NF and BCNF

Knowledge Hut

Decomposing relations with redundant data into smaller, simpler, and well-structured relations that satisfy desired attributes is the best way to solve these difficulties. Decomposing the relations into relations with fewer attributes is the process of normalization. He later expanded it with the Second and Third Normal Forms.

MongoDB 52
article thumbnail

What Is Data Normalization, and Why Is It Important?

U-Next

What is Data Normalization? What do you mean by normalization of data? Data normalization is the process of organizing and transforming data to improve its structural integrity, accuracy, and consistency. Data normalization is also an important part of database design.

IT 98
article thumbnail

What Is Data Normalization, and Why Is It Important?

U-Next

What is Data Normalization? What do you mean by normalization of data? Data normalization is the process of organizing and transforming data to improve its structural integrity, accuracy, and consistency. Data normalization is also an important part of database design.

IT 98