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

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

Towards Data Science

MARCH 29, 2023

The simple 4-step design process is still shockingly effective, even decades later. I think that the entire book is worth reading, but when you read those later chapters is going to depend on specific data modeling problems you encounter. At the same time, I got a real sense of how various data technologies work.

Data Warehouse 69

Data Warehouse BI Healthcare Database 69

Knowledge Hut

JANUARY 3, 2024

Redundancy in database tables is removed or reduced using normal forms. A normalization database or normalization in DBMS design method avoids data duplication and removes undesired traits like Insertion, Update, and Deletion Anomalies. Therefore, it helps to reduce relational redundancy.

MongoDB 52

MongoDB Database Coding Utilities 52

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