Data Lakes Data Storage

What is Data Lakes data storage?

Turn your company into a Data Centric business with data storage solutions data lakes that allow to store in a more coherent and fast way any type of data necessary for the Knowledge of business and customers, thus making it possible to have the entire analytical ecosystem and generate knowledge in a highly scalable and efficient way.

Be fast accessing your data in real time. Prepare and share data reports in an agile way to facilitate decision making and make specific comparisons. Store your data in Datalakes to take better advantage of the information.

The integration of information
Having information in the same space is something that benefits any organization. The connection of different tools and having the data connected is the new challenge of the digital age of the XNUMXst century.

Solutions to get your business off the ground

Technical and business consulting

Guidance and accompaniment to determine the right path for your needs

ETL development

Analyze the information coming
from one or more sources


It has a unified workspace that provides you with the real data of your company


Integrate effectively
and personalized data analysis
with your usual way of working

Font Synchronization

Unify your way of working to consolidate
the data from different output points

Integration of information systems

Have a global vision of the systems
of information thanks to the study of data

Cross-selling models

Improve the relationship with customers,
increasing profits and building loyalty
thanks to the information

Customer vision unification

Knowing your customers will give you
a strategic advantage over the competition

source analysis

Connect different data sources and get more information

Warehouse creation

Collect and analyze data from
from multiple heterogeneous sources
through a platform


Analyze your data to make strategic decisions and increase business volume

cloud architecture

Mix and build in the cloud,
have your data at hand at any time

Aggregated statistical data

Leverage data whatever it is
its source or its life cycle

Intelligent forecast systems

Anticipate the market and your customers
Knowing your data and its evolution

Campaign automation

Thanks to the information obtained
we can robotize processes to
optimize resources and time

Projects that guarantee our success in data storage Data Lakes

Web application to facilitate the strategic and automatic planning of the delivery of stock of Adidas products for El Corte Inglés.
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Development and implementation of Datalake for the exploitation and enrichment of commercial and customer information.
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Online tool integrated with your own communications and commercial systems, to view information in an agile and detailed way.
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Analysis and segmentation of clients with a unified vision and the possibility of exporting to carry out different actions.
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Discover which sectors we have helped promote

Digitize, automate and direct simple and complex processes to reduce costs in the industry sector.

Meet your objectives hand in hand with technology, whether you are a bank, an insurance company or a finance company.

Get the basic functions of your company with a technology partner to automate your business processes.

Chase them new horizons for the real estate and construction sector under a framework of technological and digital support.

Build customized solutions thanks to intelligent platforms to materialize your ideas.

Manage and control sales channels, logistics, products and much more to successfully reach the end customer.

Do you want to know more about Data Lakes data storage?

A Data Lake is a data storage architecture that allows large volumes of data to be stored in its original, unstructured form and from various sources. Unlike traditional storage systems, Data Lakes do not require a predefined structure for the data, allowing for greater flexibility in analysis and post-processing.

Raw data storage

Data Lakes allow data to be stored in its original format, including structured, semi-structured, and unstructured data. This includes text files, images, videos, event logs, sensor data, and more. The goal is to capture all available data, regardless of its structure or format.

Scalability and storage capacity

Data Lakes are designed to handle large volumes of data, from terabytes to petabytes and even more. They use distributed and scalable storage technologies, such as Hadoop Distributed File System (HDFS) or cloud storage systems, which allow large amounts of data to be stored and processed efficiently.

flexible structure

Unlike traditional databases, Data Lakes do not require a predefined data structure. Data is stored as is, allowing new data to be added without needing to adjust the existing structure. This provides flexibility to explore and analyze different types of data without restrictions.

Diversity of data sources

Data Lakes can integrate data from various sources, such as relational databases, transactional systems, social networks, web applications, server logs, sensors, and more. This allows for a complete and holistic view of an organization's data, which can reveal hidden relationships and patterns.

Processing and analysis

Data Lakes offer a conducive environment for large-scale data analysis. Using distributed processing tools, such as Apache Spark or Hadoop, data can be processed and analyzed in parallel, which speeds up response time compared to traditional approaches.

Data governance and security

Data Lakes require a robust data governance strategy to ensure the quality, integrity, privacy, and security of stored data. This involves establishing policies and controls for access, authorization, management of
metadata and the protection of sensitive data.

Integration with analytical tools

Data Lakes can be integrated with various analysis and visualization tools, such as programming languages ​​(Python, R), business intelligence (BI) tools, and machine learning systems. This enables advanced analysis and uncovering valuable insights from stored data.

It is important to note that the success of a Data Lake depends on proper planning, effective data management, and the use of appropriate tools and technologies for data processing and analysis.