Smart Data Collective

APRIL 29, 2020

Data management approaches are varied and may be categorised in the following: Cloud data management. The storage and processing of data through a cloud-based system of applications. Master data management. Extraction, Transform, Load (ETL). Private cloud deployments are also possible with Azure.

Data Warehouse 97

Data Warehouse SQL Azure ETL 97

phData

FEBRUARY 21, 2025

A data warehouse enables advanced analytics, reporting, and business intelligence. The data warehouse emerged as a means of resolving inefficiencies related to data management, data analysis, and an inability to access and analyze large volumes of data quickly.

Data Warehouse 52

Data Warehouse Cloud Data ETL Cloud Computing 52

How to Learn Machine Learning

APRIL 26, 2025

This includes duplicate removal, missing value treatment, variable transformation, and normalization of data. Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

phData

APRIL 28, 2025

A Matillion pipeline is a collection of jobs that extract, load, and transform (ETL/ELT) data from various sources into a target system, such as a cloud data warehouse like Snowflake. The workflow well reference throughout this blog was built using customer data from TrellisMart, a fictional retail company.

AI 52

AI AI SQL ETL 52

Data Science Dojo

JULY 3, 2024

Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

phData

JANUARY 5, 2023

Python has proven proficient in setting up pipelines, maintaining data flows, and transforming data with its simple syntax and proficiency in automation. Having been built completely for and in the cloud, the Snowflake Data Cloud has become an industry leader in cloud data platforms.

Python 52

Python Data Engineering Data Engineer Data Engineering 52

phData

JANUARY 4, 2023

Snowflake works with an entire ecosystem of tools including Extract Transform and Load (ETL), data integration, and analysis tools. Disaster Recovery Snowflake allows for an easy and automatic backup of data and enables faster disaster recovery of critical IT systems.

Data Warehouse 52

Data Warehouse SQL Database ETL 52