Data Collection Blog

Qualitative data collection methods

Quantitative pertains to numbers such as competitor product fluctuations, while qualitative pertains to the ‘narrative’ such as audience social sentiment regarding a particular brand. This article explains all the key differences between the two, as well as offering tools to quickly and easily obtain target data points

What is a reverse proxy

Reverse proxies can serve as a more efficient encryption tool, helping attain distributed load balancing, as well as locally caching content, ensuring that it is delivered quickly to data consumers. This article is your ultimate guide to reverse proxies
What is a private proxy

What is a private proxy

Private proxies offer better security, increased privacy, and a 99.9% success rate at a higher price. Shared proxies are considerably more cost-efficient options for target sites with simpler site architectures. This guide will help you understand the major differences whilst making the right choice for your business.
How to parse JSON data with Python

How to parse JSON data with Python

Here is your ultimate ‘quick, and dirty’ guide to JSON syntax, as well as a step-by-step walkthrough on ‘>>> importing json’ to Python, complete with a useful JSON -> Python dictionary of the most commonly used terms, making your life that much easier
What is big data analytics

What is big data analytics

Big data analytics uses data collected at scale in order to ease the corporate decision-making process while yielding actionable, and monetizable insights. This post will walk you through the workflow
What is an ETL pipeline

What is an ETL pipeline

This guide will walk you through the Extraction, Transformation, and Loading stages of a typical business’s ETL data extraction pipeline. It includes an eCommerce use case that can help illustrate how an ETL pipeline can be implemented within the context of a day-to-day digital business workflow
How microdata marketplaces are leading the charge in terms of data monetization

How microdata marketplaces are leading the charge in terms of data monetization

Learn how Data Collection as a Service companies are leveraging the ‘self-serve’ data model in order to decrease consumer friction while shortening sales cycles, as well as making long-term, client-side data supply contracts superfluous
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