Precisely

JANUARY 9, 2025

Data marts involved the creation of built-for-purpose analytic repositories meant to directly support more specific business users and reporting needs (e.g., And then a wide variety of business intelligence (BI) tools popped up to provide last mile visibility with much easier end user access to insights housed in these DWs and data marts.

Data Warehouse 119

Data Warehouse Hadoop Data Lakes Data Governance 119

How to Learn Machine Learning

APRIL 26, 2025

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). This definition specifically describes the Data Scientist as being the predictive powerhouse of the data science ecosystem.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Dataconomy

MARCH 19, 2025

This helps facilitate data-driven decision-making for businesses, enabling them to operate more efficiently and identify new opportunities. Definition and significance of data science The significance of data science cannot be overstated. Data visualization developer: Creates interactive dashboards for data analysis.

Data Science 91

Data Science Citizen Data Scientist Data Scientist Machine Learning 91

Becoming Human

JANUARY 23, 2023

- a beginner question Let’s start with the basic thing if I talk about the formal definition of Data Science so it’s like “Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis” , is the definition enough explanation of data science?

Data Science 105

Data Science Big Data Big Data Deep Learning 105

ODSC - Open Data Science

SEPTEMBER 27, 2023

Unlike traditional data warehouses or relational databases, data lakes accept data from a variety of sources, without the need for prior data transformation or schema definition. Understanding Data Lakes A data lake is a centralized repository that stores structured, semi-structured, and unstructured data in its raw format.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

Alation

FEBRUARY 20, 2020

A “catalog-first” approach to business intelligence enables both empowerment and accuracy; and Alation has long enabled this combination over Tableau. Self-service analytics tools have been democratizing data-driven decision making, but also increasing the risk of inaccurate analysis and misinterpretation.

Data Governance 52

Data Governance Tableau Hadoop Data Pipeline 52

Pickl AI

AUGUST 1, 2023

Data Engineering is crucial for data-driven organizations as it lays the foundation for effective data analysis, business intelligence, machine learning, and other data-driven applications. Acquire essential skills to efficiently preprocess data before it enters the data pipeline.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52