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Data Management

Databases, data pipelines and secure, high-performance storage solutions

Big DataETL PipelineData Security

Turn your data into a strategic asset. We design robust data architectures, high-performance ETL pipelines and secure storage solutions that let your company make full use of its data at scale.

Who is it for?

Companies whose data is scattered across several software tools, Excel files and databases

Management teams that want reliable, up-to-date dashboards to steer the business

Technical teams dealing with slow or overloaded databases

Organizations that need to better secure, back up and govern their data

Key Benefits

Centralized data available in real time

Reliable, automated data pipelines

Security and compliance (Law 09-08, GDPR)

Optimized performance for big data

Use Cases

1

Data warehouses and data lakes

2

ETL pipelines and data streaming

3

Distributed databases

4

Automated archiving and backup

5

Data governance and data quality

Our Approach

1

Data inventory

We list your data sources, their quality, their volumes and the uses expected by business teams.

2

Architecture design

We design the right data model and architecture: operational database, data warehouse or data lake.

3

Pipelines and integration

We build automated, monitored ETL pipelines to collect, clean and centralize data reliably.

4

Security and operations

We set up access controls, backups, monitoring and documentation for smooth long-term operation.

Technologies We Use

PostgreSQL
MongoDB
Redis
Kafka
Airflow
Snowflake

Frequently Asked Questions

What is an ETL pipeline?

ETL stands for Extract, Transform, Load: data is extracted from your various tools, transformed (cleaned, harmonized) and then loaded into a central database. A pipeline automates this process so your data is always up to date.

What is the difference between a data warehouse and a data lake?

A data warehouse stores structured data prepared for analysis and dashboards. A data lake keeps large volumes of raw data in any format, useful in particular for data science. Many companies combine the two.

How do you protect personal data?

We apply the principle of least privilege, encryption, access logging and tested backups, and take into account the obligations of Moroccan law 09-08 and, where applicable, the European GDPR.

How is the price of a data project set?

It depends on the number of sources to connect, the data volumes, the update frequency and the tools chosen. We provide a quote after the data inventory.

Ready to start your project?

Let's discuss your needs and see how we can help you reach your goals.

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