The Modern Data Company

APRIL 15, 2024

There’s a common saying about not wanting to know how the sausage is made, suggesting that the process behind many things we enjoy—be it our favorite food or the conveniences of modern technology—might not be as appealing as the end product itself. This analogy rings especially true in the world of data.

Building 52

Building Raw Data Food Data 52

DataKitchen

JUNE 21, 2024

Teams working in silos, poor communication channels, and a lack of standardized procedures can lead to inconsistencies and errors in data handling. Knowledge Gaps: A lack of comprehensive understanding of the data being handled and the business context it serves can lead to misinterpretations and incorrect data processing.

Data Engineer 53

Data Engineer Data Engineering Engineering Data 53

Knowledge Hut

NOVEMBER 28, 2023

In this article, we will look at 31 different places to find free datasets for data science projects. We will discuss the different types of datasets in data science which cover disciplines like data visualization, data processing, machine learning, data cleaning, exploratory data analysis, natural language processing, and computer vision.

Datasets 96

Datasets Data Science Project Machine Learning 96

Monte Carlo

FEBRUARY 21, 2023

Reduced reliance on IT Integral to a data fabric is a set of pre-built models and algorithms that expedite data processing. The company famously and successfully digitized its business, enabling customers to order food, track delivery status, earn rewards, and more via the company’s website and app.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Reduced reliance on IT Integral to a data fabric is a set of pre-built models and algorithms that expedite data processing. The company famously and successfully digitized its business, enabling customers to order food, track delivery status, earn rewards, and more via the company’s website and app.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Knowledge Hut

NOVEMBER 20, 2023

This is done in the following sequence: Data collection, Data processing, Feature extraction, Model selection, Training. Coming to the training process; it’s done in three stages: feeding processed data into an algorithm, creating predictive models, and evaluating their results.

Manufacturing 52

Manufacturing Pharmaceutical Healthcare Finance 52

Grouparoo

DECEMBER 7, 2021

However, this leveraging of information will not be effective unless the organization can preserve the integrity of the underlying data over its lifetime. Integrity is a critical aspect of data processing; if the integrity of the data is unknown, the trustworthiness of the information it contains is unknown.

Data Integration 52

Data Integration Manufacturing ETL Tools Transportation 52