Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is the role of a Data Engineer? Data scientists and data Analysts depend on data engineers to build these data pipelines.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

DareData

JULY 29, 2020

Odds are that your local hospital, pharmacy or medical institution's definition of being data-driven is keeping files in labelled file cabinets, as opposed to one single drawer. One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". What makes a good Data Pipeline?

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

Ascend.io

SEPTEMBER 14, 2023

This feature enhances development speed, allowing data engineers to write and test scripts quickly — facilitating a more iterative and agile approach to data operations. Immediate Execution: Python code runs directly through the interpreter, eliminating the need for a separate compilation step.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Airbnb Tech

JUNE 1, 2021

Because of this multi-year investment, when Airbnb’s business was severely disrupted by COVID-19 last year, we were able to quickly turn data into actionable insights and strategies. Anyone can look up definitions without confusion. Consistent : Data is always consistent. Declarative: Users define the “what” and not the “how”.

Datasets 52

Datasets Pipeline-centric Metadata Data Science 52

RandomTrees

NOVEMBER 29, 2023

Data Vault Architecture Some simple benefits As it is very clearly inferred from the above conceptual architecture a data vault technique is more scalable till and above pita bits of data, being ready for refactoring, more agile, can use familiar architecture principles using most available ETL/ELT codes and they can be generated at will.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52