Data Collection

What is data collection?Data collection is an essential step in conducting any research or analytics project. This article covers the basics of data collection, types of data and methods used to collect it, and highlights some challenges that may arise during the process.

Validation of data collectionIn this article, we will discuss the importance of data validation, its different types, and how to perform it. By the end, you will have a clear understanding of data validation and be able to perform validation checks on your own data.

What is Data Aggregation?Data aggregation refers to the process of gathering data from multiple business sources and compiling it into a single, summarized dataset for reporting and analysis.

Methods of data collectionData teams are constantly exploring ways to collect data that can provide insights and enable strategies. In this article, we explore the variety of data collection methods, ranging from traditional approaches to emerging technologies.

Data collection best practicesThis article outlines significant areas to consider and address before, during, and after data collection. It defines the best practice, then explains how to implement them and why this action will help a business's data collection process.

History of data collectionIn this article, we will take you on a captivating journey through the history of data, starting from ancient times to the emergence of modern data science and machine learning.

The Data Maturity Guide

Learn how to build on your existing tools and take the next step on your journey.

Build a data pipeline in less than 5 minutes

Create an account

See RudderStack in action

Get a personalized demo

Collaborate with our community of data engineers

Join Slack Community