Data Engineering Podcast

FEBRUARY 25, 2024

Summary Building a database engine requires a substantial amount of engineering effort and time investment. 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. Data lakes are notoriously complex.

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

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.

Data Warehouse 69

Data Warehouse BI Healthcare Database 69

Knowledge Hut

JANUARY 3, 2024

Data duplication could occur in a large database defined as a single relation. This data repetition could lead to the following: Expanding relationships greatly. Maintaining and updating data is difficult since it necessitates searching through numerous related entries. A few guidelines govern database normalization.

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