What is Data Ingestion (Definition, Types and Benefits)


Ingestion Data
Ingestion Data

What is Data Ingestion – Hi friends, meet us again. How are you friends today, we hope you are always in good health. In this article, we will discuss something related to data and companies, yep, namely Data Ingestion. The discussion starts from the definition of ingestion data, its types and benefits for the company.

Understanding Data Ingestion

Ingestion Data
Ingestion Data

We cannot deny that collecting data from various sources requires a lot of effort and takes a lot of time. If you face such problems, then data ingestion is a solution that can be tried. In today’s era, data is a mainstay for companies as a business strategy, predicting ongoing trends, and making decisions.

Data Ingestion is the process of transferring data collected from one or more sources to a container or storage. The data that has been transferred will be stored and analyzed further. The types of formats collected from these data sources must vary, not to mention the problem of incompatibility of data from one source to another. Therefore, companies usually use certain software to automate the data ingestion process.

Types and Benefits of Data Ingestion

The following are the types of ingestion data:

  1. Real time – This type collects and transfers data from the system using change data capture. CDC is a solution for retrieving data from other databases. Real-time data ingestion is useful for companies that need to react quickly to new incoming information.
  2. Batch-based – is the process of collecting and transferring data in a set according to a scheduled interval. Data collection can be based on events, schedules and customized sequences. Batch-based data ingestion is useful when companies need to collect certain data on a daily basis.
  3. Lambda architecture-based – The last type is a combination or combination of the two previous methods, namely real time and batch based. The sequence consists of the process of data collection, presentation and speed layers. The process of collecting and presenting data is indexing the data. Then the last run instantly indexes the data that hasn’t been fetched from the first run.

So much information that we can convey, hopefully useful, thank you.