ProjectPro

DECEMBER 7, 2021

To understand the working of a data pipeline, one can consider a pipe that receives input from a source that is carried to give output at the destination. A pipeline may include filtering, normalizing, and data consolidation to provide desired data. It can also be made accessible as an API and distributed to stakeholders.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Towards Data Science

AUGUST 2, 2023

A Step-by-Step Guide to Building an Effective Data Quality Strategy from Scratch How to build an interpretable data quality framework based on user expectations Photo by Rémi Müller on Unsplash As data engineers, we are (or should be) responsible for the quality of the data we provide. Where do I start?

Building 98

Building Data Consolidation Data Datasets 98

ProjectPro

JUNE 16, 2022

Table of Contents What is an AWS Data Pipeline? Amazon Web Services Inc offers Data Pipeline, a web service that helps process and moves data between various AWS compute, on-premises sources, and storage services at specified intervals. Need for AWS Data Pipeline Image Source: d1.awsstatic.com/

Data Pipeline 59

Data Pipeline AWS Amazon Web Services Data Consolidation 59

Ascend.io

DECEMBER 14, 2022

How ETL Became Outdated The ETL process (extract, transform, and load) is a data consolidation technique in which data is extracted from one source, transformed, and then loaded into a target destination. But in a world that favors the here and now, ETL processes lack in the area of providing analysts with new, fresh data.

Data Integration 52

Data Integration Raw Data Data Consolidation Data Warehouse 52

AltexSoft

NOVEMBER 23, 2021

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization.

Process 69

Process Data Lake Metadata Data Warehouse 69

AltexSoft

JUNE 21, 2023

While the prediction target varies depending on a hotel’s goals and the type of data accessible, there are two primary steps to benchmark as part of maximizing profit. This dual tracking allows you to leverage ADR as a strategic tool for making data-driven decisions, optimizing occupancy rates, and enhancing profitability.

Hospitality 52

Hospitality Management Machine Learning Datasets 52