Hevo

AUGUST 21, 2023

Seamlessly connecting PostgreSQL on Amazon RDS to MySQL opens up new possibilities for data consolidation, analysis, and business intelligence. Amazon RDS supports PostgreSQL as one of its database engines, while MySQL continues to be a popular choice for many applications and organizations.

PostgreSQL 52

PostgreSQL MySQL Data Consolidation Business Intelligence 52

WeCloudData

OCTOBER 19, 2021

Tools used: SQL Server, Python, Tableau Milestones Data Consolidation Transactional data Customer ID, Date of purchase, Transaction id of purchase, Total amount spent, Quantity of product ordered, etc. Segment customers based on spending behaviour , time between multiple purchases.

Consulting 52

Consulting Electronics Data Consolidation Machine Learning 52

WeCloudData

OCTOBER 19, 2021

Tools used: SQL Server, Python, Tableau Milestones Data Consolidation Transactional data Customer ID, Date of purchase, Transaction id of purchase, Total amount spent, Quantity of product ordered, etc. Segment customers based on spending behaviour , time between multiple purchases.

Consulting 52

Consulting Electronics Data Consolidation Machine Learning 52

Towards Data Science

AUGUST 2, 2023

By this collaboration, we will set the data quality standards that are aligned with the actual needs and expectations of our users.

Building 98

Building Data Consolidation Data Datasets 98

FreshBI

JULY 27, 2020

Direct Integrations: This custom connector allows you to integrate your Xero data with ANY other dataset. You integrate with your data. All of your data. Consolidations: A. of the Xero authentication process is that multi company Xero Consolidations is possible.

BI 52

BI Data Consolidation Banking Business Intelligence 52

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How ETL Became Outdated The ETL process (extract, transform, and load) is a data consolidation technique in which data is extracted from one source, transformed, and then loaded into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. We won’t dive into the origins of ETL , but it’s important to understand its surroundings. This is when ELT came in.

Data Integration 52

Data Integration Raw Data Data Consolidation Data Warehouse 52

AltexSoft

NOVEMBER 23, 2021

In simple terms, data remains in original sources while users can access and analyze it virtually via special middleware. Before we get into more detail, let’s determine how data virtualization is different from another, more common data integration technique — data consolidation.

Process 69

Process Data Lake Metadata Data Warehouse 69

Ascend.io

DECEMBER 21, 2022

As we hinted at in the introduction, reverse ETL stands on the shoulders of two data integration techniques: ETL and ELT. The ETL process is a data consolidation technique in which data is extracted from one source, transformed, and then loaded into a target destination.

ETL Tools 52

ETL Tools ETL System Data Warehouse Data Consolidation 52

Striim

JUNE 10, 2024

Speed to Market: The dispersion of data across multiple systems hindered Macy’s ability to develop and deploy applications swiftly. The time-consuming data consolidation processes delayed new initiatives, impacting Macy’s agility in responding to market trends.

Google Cloud 52

Google Cloud Retail Data Consolidation Cloud 52

ProjectPro

JUNE 16, 2022

Table of Contents What is an AWS Data Pipeline? The following is the AWS data pipeline architecture for the above example: To Learn More About Other AWS Data Pipeline Example Implementation, Check Out AWS Data Pipeline Examples documentation. Need for AWS Data Pipeline Image Source: d1.awsstatic.com/

Data Pipeline 59

Data Pipeline AWS Amazon Web Services Data Consolidation 59

Snowflake

JUNE 6, 2023

The Government & Education Data Cloud is part of the Snowflake platform, which offers a single, fully managed, multi-cloud platform for data consolidation, governance, and performance. It empowers decision-makers in government and education to share and collaborate with data within and across agencies and departments.

Education 52

Education Government Cloud Amazon Web Services 52

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 Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Grouparoo

NOVEMBER 5, 2021

The implementation of data integration can employ various techniques, including: Data replication techniques manage the transfer of data between storage repositories to maintain synchronization. The use of this method applies to situations where no transformation of the data is necessary.

Data Integration 40

Data Integration Datasets Data Warehouse Big Data 40

AltexSoft

JUNE 21, 2023

Hotel software , including Property Management Systems (PMSs) , hotel websites with a direct booking module, and channel managers , stores detailed information about reservations and pricing, such as booking lead times , occupancy data, and the rates at which particular rooms or accommodations were reserved during a specific period.

Hospitality 52

Hospitality Management Machine Learning Datasets 52

Knowledge Hut

JANUARY 19, 2024

The syllabus, resembling a guidebook, talks about organized storage, a unified view, and the flexibility offered by data lakes. For beginners in the curriculum for self-study, this is about creating a scalable and accessible data hub. Importance: Efficient organization and retrieval of data.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

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.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52