Monte Carlo

FEBRUARY 27, 2024

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?

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

Data Engineering Podcast

FEBRUARY 25, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Database 162

Database Technology Data Lake High Quality Data 162

U-Next

FEBRUARY 27, 2023

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

IT Bytes Database Recruitment 98

U-Next

MARCH 7, 2023

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

IT Bytes Database Recruitment 98

Knowledge Hut

JANUARY 3, 2024

High-quality data is necessary for effective lead scoring to categorize those prospects actively. Data normalisation is more than simply restructuring the data in a database, as data has increasing value for all businesses.

MongoDB 52

MongoDB Database Coding Utilities 52

Towards Data Science

MARCH 29, 2023

As someone who had minimal exposure to computer science, I felt it pretty easy to follow along with his explanations of encodings, database design (and tradeoffs), and distributed architecture. At the same time, I got a real sense of how various data technologies work.

Data Warehouse 68

Data Warehouse BI Healthcare Database 68