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Big Data

Data, and the insight it offers, are essential for businesses to innovate and differentiate. Coming from a variety of sources, from inside the firewall out to the edge, the growth of data in terms of volume, variety, and speed leads to innovative approaches. Today, data lakes and data hub architectures allow organizations to accumulate huge reservoirs of information for future analysis. At the same time, the Cloud provides easy access to technologies to those who do not have the necessary infrastructure and Artificial Intelligence promises to proactively simplify management.

With Big Data technologies, Business Intelligence is entering a new era. Hadoop and the likes, NoSQL databases, and cloud-managed infrastructures store and represent structured and unstructured data and time series such as logs and sensors. From collect to visualization, the whole processing chain operates in batch and real-time.

Big Data
Cloud and on-premise infrastructure


Cloud, on-premise, and hybrid environments:

  • Integration with the information system
  • Automated deployments
  • End-to-end security
  • Management in multi-tenant environments
  • Clusters operations, disaster recovery
  • Level 3 support
Data management

Data management

Governance and data provisioning:

  • Big Data and Data Lake architecture
  • Modeling and application architecture
  • Low latency and high throughput use cases
  • Batch and streaming data sourcing and ingestion pipelines
  • Data cleaning and enrichment
  • Data quality control and enforcement
Data intelligence

Data intelligence

Collaboration with business units to serve projects needs:

  • Restitution et visualisation de données
  • Distributed traitement Optimisation des flux et des traitements distribués
  • Ad hoc queries and data mining
  • Machine Learning models and custom algorithms elaboration
  • DevOps, SRE et MLOps

Articles related to Big Data

Comparison of database architectures: data warehouse, data lake and data lakehouse

Comparison of database architectures: data warehouse, data lake and data lakehouse

Categories: Big Data, Data Engineering | Tags: Data Governance, Infrastructure, Iceberg, Parquet, Spark, Data Lake, Data Warehouse, File Format

Database architectures have experience constant innovation, evolving with the appearence of new use cases, technical constraints, and requirements. From the three database structures we are comparing…

Gonzalo ETSE

By Gonzalo ETSE

May 17, 2022

Canada - Morocco - France

International locations

10 rue de la Kasbah
2393 Rabbat

We are a team of Open Source enthusiasts doing consulting in Big Data, Cloud, DevOps, Data Engineering, Data Science…

We provide our customers with accurate insights on how to leverage technologies to convert their use cases to projects in production, how to reduce their costs and increase the time to market.

If you enjoy reading our publications and have an interest in what we do, contact us and we will be thrilled to cooperate with you.