ProjectPro

DECEMBER 7, 2021

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. 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

Additionally, I will showcase practical artefacts developed for a data product that would provide data for a marketing campaign reporting tool, demonstrating how the strategy finally translates into business value. Let’s start with the first question When should I start working on data quality?

Building 98

Building Data Consolidation Data Datasets 98

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How ETL Became Outdated The ETL process (extract, transform, and load) is a data consolidation technique in which data is extracted from one source, transformed, and then loaded into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

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

Monte Carlo

FEBRUARY 15, 2023

Finally, where and how the data pipeline broke isn’t always obvious. Monte Carlo solves these problems with our our data observability platform that uses machine learning to help detect, resolve and prevent bad data. Data Security Data Warehouses achieve security in multiple ways.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 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