The RestApp Blog

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Data ingestion is the process of transferring data from one system to another. It can be a quick and efficient way to get your data ready for analysis. Discover what data ingestion is, its benefits, and some of the best tools for data ingestion.

 · 10 min read

The main purpose of a data transformation tool is to help you convert unstructured or semi-structured data into a clean, well-organized format that can be activated in SaaS applications. This article will look at some of the more popular data transformation tools available today and how they work.

 · 11 min read

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You are a big fan of the marketing tools like Hubspot but the fact that the data are from separate systems and applications is cumbersome for you? Don’t worry, here I will show two ways to load revenue data into Hubspot so that you can free up time for your engineering and ops teams and get always up-to-date data in Hubspot.

 · 8 min read

SQL is a language used to manipulate data in databases. It’s a standard query language that’s been around since the 1970s, but it has never been more popular than it is right now. In short, SQL is the lingua franca when it comes to data transformation and data manipulation from various sources. Let’s dive into the pros and cons of using a language that has been around since the 1970s!

 · 9 min read

Data enrichment is the process of adding or updating data to existing datasets. It is also called data enhancement, data cleansing, or data tagging. Discover how data enrichment can help you succeed in your day-to-day business and make you closer to a data-driven decision-making organization!

 · 9 min read

APIs are the building blocks of the Internet. They allow developers to take the data from one platform and use it on another one. There are many types of APIs, but we will focus on two in this article: REST API and API. There is a lot of confusion around the differences between API and Rest API, so I decided to write this blog post to clear up some of that confusion. We’ll also look at some of their key differences.

 · 12 min read

Analytics engineering is the combination of business intelligence, engineering and data analysis to create actionable insights from raw data. It makes use of various tools to slice and dice data in order to make better decisions based on analytics. So let’s dive into the hottest role in modern data teams and why it is crucial to rejuvenate the structure of Modern Data Teams.

 · 13 min read


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