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

ProjectPro

DECEMBER 7, 2021

A data pipeline automates the movement and transformation of data between a source system and a target repository by using various data-related tools and processes. 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.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Towards Data Science

AUGUST 2, 2023

The goal of this article is to share a step-by-step guide to get all the answers you need for building an effective data quality strategy that fulfils the needs of business. This process involves collaboration among stakeholders, product owners, developers and sharing data quality metrics with potential users.

Building 98

Building Data Consolidation Data Datasets 98

ProjectPro

JUNE 16, 2022

An AWS data pipeline helps businesses move and unify their data to support several data-driven initiatives. Generally, it consists of three key elements: a source, processing step(s), and destination to streamline movement across digital platforms. Table of Contents What is an AWS Data Pipeline?

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How ETL Became Outdated The ETL process (extract, transform, and load) is a data consolidation technique in which data is extracted from one source, transformed, and then loaded into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. In the 1980s, companies started to amass big amounts of transactional data. This causes two issues.

Data Integration 52

Data Integration Raw Data Data Consolidation Data Warehouse 52

Monte Carlo

FEBRUARY 15, 2023

Since the inception of the cloud, there has been a massive push to store any and all data. On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. Cloud data warehouses solve these problems.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

AltexSoft

JUNE 21, 2023

However, introducing ML-powered predictive analytics has revolutionized this process. 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. Data shortage and poor quality. Sounds great, right?

Hospitality 52

Hospitality Management Machine Learning Datasets 52