7 Key Ways to Gather and Import Data: A Quick reference for all Data Analysts

by SambittData Analytics, Data Science, TechnologyPosted on No Comments

In today’s data-driven world, the ability to efficiently gather and import data from various sources is essential for making informed decisions and uncovering actionable insights. As a data analyst, mastering a diverse set of data acquisition techniques enables you to work across different environments, industries, and use cases. Here are seven key methods to gather …

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Exploring ETL, the backbone of Data Analytics

by SambittData Analytics, Data SciencePosted on No Comments

A key part of Data Analytics is Extract, Transform & Load, commonly referred as ETL. This fundamental process ensures that the data is clean, well structured, and ready for analysis. One can think of ETL as a sophisticated assembly line for data. Extract: Gathering Raw Data The journey begins with extraction – pulling raw data …

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Simplifying Data Repositories

by SambittData Analytics, Data SciencePosted on No Comments

Data RepositoriesA data repository, also known as a data archive or library, is a generic term that refers to a segmented data set used for reporting or analysis. It serves as a centralized storage facility for managing and storing various usable datasets. When we say usable dataset, the data is already collected, organized & isolated. …

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Significance of Data Types in Data Analytics

by SambittData Analytics, Data Science, Machine Learning & AIPosted on No Comments

Let’s understand the practical significance of structured, unstructured, and semi-structured data in the realm of data analytics. To view the short presentation video, click here. Structured Data:Structured data refers to information that is organized into a well-defined format. Structured data is typically stored in relational databases (RDBMS), where it follows a tabular structure with rows …

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