article thumbnail

5 Skills Data Engineers Should Master to Keep Pace with GenAI

Monte Carlo

Organizations need to connect LLMs with their proprietary data and business context to actually create value for their customers and employees. They need robust data pipelines, high-quality data, well-guarded privacy, and cost-effective scalability. Data engineers. Who can deliver?

article thumbnail

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

Data Engineering Podcast

Summary Building a database engine requires a substantial amount of engineering effort and time investment. Over the decades of research and development into building these software systems there are a number of common components that are shared across implementations. Data lakes are notoriously complex.

Database 162
Insiders

Sign Up for our Newsletter

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

article thumbnail

What Is Data Normalization, and Why Is It Important?

U-Next

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. Data normalization is adopted because it helps to ensure that data will be consistent.

IT 98
article thumbnail

What Is Data Normalization, and Why Is It Important?

U-Next

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. Data normalization is adopted because it helps to ensure that data will be consistent.

IT 98