How to Learn Machine Learning

APRIL 26, 2025

Data Storage and Management Once data have been collected from the sources, they must be secured and made accessible. The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark).

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

MAY 31, 2023

Tools such as Matplotlib, Seaborn, and Tableau may help you in creating useful visualisations that make challenging data more readily available and understandable to others. It is critical for knowing how to work with huge data sets efficiently. Also Read: How to become a Data Scientist after 10th?

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

JUNE 7, 2024

It is a process for moving and managing data from various sources to a central data warehouse. This process ensures that data is accurate, consistent, and usable for analysis and reporting. Definition and Explanation of the ETL Process ETL is a data integration method that combines data from multiple sources.

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ETL Data Quality Data Pipeline Data Warehouse 40