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Data ingestion: what’s at stake?

Ingestion de données

Companies are looking to make the most of the vast amounts of data they collect every day. To do this, they need to be able to store the data in a single, quickly accessible right. This is where data ingestion comes in.

From batch to streaming systems, data ingestion offers a practical, structured way of digitizing processes, building predictive analytics and improving business decisions. In addition to processing data, it also enables companies to better understand their customers’ needs and behaviors. This is a real opportunity that is shaking up the Big Data sector.


What is data ingestion?





Data ingestion is the process of transforming information from different sources into a centralized, unified database. This can be files, online applications or even Web services, to create a single source of consolidated data.

This tool enables companies to increase their market presence, improve data collection and processing, and manage the volume of information to be processed.


The different methods of data ingestion


There are several ways of ingesting data:


  • Batch ingestion: data is collected and processed at regular intervals. This method is commonly used for daily reports or scheduled updates.


  • Real-time Ingestion: data is collected and processed as it happens; essential for monitoring, follow-up and immediate reaction.


  • Lambda architecture: data are collected and processed using a combination of the 2 previous methods.


Data ingestion stages


The process generally consists of several steps:


Multiple data recovery


Initially, it’s essential to collect data from a variety of channels and sources. This can include databases, files, real-time feeds, IoT sensors, websites and more.


Checking data quality


A crucial step is to assess the quality of the data collected. This involves detecting and correcting errors, duplicates and inconsistencies, and ensuring that the data is reliable and relevant.


Standardizing data formats


Data from different sources can sometimes have different formats. It is therefore necessary to standardize these data to make them consistent and compatible, facilitating further processing.


Loading cleaned data


Data is loaded into a central database or data warehouse (dwh), ready to be used for analysis or other applications.


Integration into existing systems


Integrating new data into the existing system is essential. This ensures that information is accessible to the right people, that it is synchronized with other data, and that updates are consistent with current operations.





What are the challenges of data ingestion?




Companies can optimize their operations by using the data ingestion process to reduce the costs associated with creation and technical expertise, while improving their access to relevant data. In addition, data ingestion enables them to forecast market trends, understand consumer needs, analyze customer experiences and thus improve their marketing strategies and organizational decisions.


A continuous flow of information is essential for informed decision-making, providing a deep understanding of the market and target customers. Today’s technologies enable companies to accumulate vast amounts of organized data, which they can then exploit to optimize their operations in the areas of marketing, sales and administration.


Improving processes


Data ingestion is very useful for making fast, professional decisions, thanks to a combination of data analysis, prediction and planning. As a result, companies can better understand their customers and target the best opportunities on offer.


Better decision-making


By gathering information about their consumers and analyzing their trends, companies can improve their ability to make the right strategic decisions that will help them achieve their objectives while reducing costs.


Data analysis


Advanced data ingestion solutions provide companies with technologies capable of tracking consumer and market behavior in real time. This enables organizations not only to increase the quality and efficiency of data analysis, but also to optimize marketing and sales operations while reducing risk.




What are the challenges of data ingestion?


Technical challenges of data integration


When it comes to integrating different data streams, there are certain technical challenges that need to be overcome in order for the technology to work properly. When several sources converge on a central database, it is important that this integration is carried out successfully, so that no information is lost or corrupted during the transfer. It is essential that the solution used is capable of processing large volumes of data quickly, without sacrificing the quality of the information collected.


Data management security


Security is of paramount importance when managing various types of data from different sources, as it protects sensitive information from contamination or illicit manipulation. Cloud services enable organizations to store.


Benefits of data ingestion


Data ingestion makes it easy to gather and organize data from a wide variety of sources. This enables more in-depth analysis and more appropriate decision-making, giving the company a considerable competitive edge. Although this technology presents challenges in terms of data security and confidentiality, it continues to improve, offering organizations incredible possibilities.


Tenor has been an expert in data flow exchange for over 30 years, supporting you in your data managements, d’EDI and e-invoicing projects.