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. Consistency : The level of harmony and conformity of data across different sources or within the same dataset. Timeliness : The measure of how up-to-date the data is.

Building 98

Building Data Consolidation Data Datasets 98

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

Knowledge Hut

JANUARY 19, 2024

Embracing data science isn't just about understanding numbers; it's about wielding the power to make impactful decisions. Imagine having the ability to extract meaningful insights from diverse datasets, being the architect of informed strategies that drive business success. That's the promise of a career in data science.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

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

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. Using this data pipeline, you will analyze the 2021 Olympics dataset.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 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How ETL Became Outdated The ETL process (extract, transform, and load) is a data consolidation technique in which data is extracted from one source, transformed, and then loaded into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. Optimized for Decision-Making Modern warehouses are columnar and designed for storing and analyzing big datasets.

Data Integration 52

Data Integration Raw Data Data Consolidation Data Warehouse 52