Top Common Terms related to Data which everyone should know!

1. Database

A database is a structured collection of data that is organized and managed in a way that allows for efficient storage, retrieval, modification, and deletion of information.

2. Data Lake

A data lake is a large, centralized repository that allows for storage and analysis of vast amounts of raw data in its native format, enabling organizations to derive insights and value from their data.

3. Data Mart

A data mart is a subset of a larger data warehouse that is designed to serve a specific business unit or department within an organization, containing a focused set of data that is relevant to the specific needs of that unit.

4. Data Warehouse

A data warehouse is a large, centralized repository that integrates data from various sources within an organization and is designed to support business intelligence, reporting, and data analysis activities.

5. Data Architechture

Data architecture refers to the overall design of an organization’s data environment, encompassing the structure, policies, practices, and standards that govern how data is collected, stored, managed, and used to support business operations and decision-making.

6. Data Center

A data center is a facility that houses an organization’s critical IT infrastructure, including servers, storage devices, networking equipment, and other computing resources, and is designed to ensure high availability, security, and reliability of these systems.

7. Data Augmentation

Data augmentation is a technique used in machine learning and deep learning to artificially increase the size of a dataset by creating additional training data from existing examples through transformations such as rotation, scaling, cropping, and flipping.

8. Data Governance

Data governance is the set of policies, procedures, and standards that define how an organization manages its data assets across the entire data lifecycle, ensuring data quality, security, privacy, and compliance with regulatory requirements.

9. Data Ingestion

Data ingestion refers to the process of importing, collecting, and loading raw data from various sources into a data storage system or data management platform for further processing and analysis.

10. Data Pipeline

A data pipeline is a set of automated processes that collect, transform, and move data from various sources to a destination for storage, analysis, and consumption by applications or users.

11. Data Analytics

Data analytics is the process of examining, cleaning, transforming, and modeling data to derive insights, patterns, and trends that can be used to inform decision-making, improve business operations, or gain a deeper understanding of a particular phenomenon.

12. Data Science

Data science is an interdisciplinary field that involves using scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data, with the goal of gaining a deeper understanding of a particular phenomenon, solving complex problems, or making predictions and decisions. It incorporates various aspects of statistics, mathematics, computer science, and domain-specific knowledge to analyze data and create models that can be used to drive business value.

I hope these “DATA-Centric” buzz words will help you learn new phenomenon.