Data Engineering Data Plateform Monitoring

In order to be analyzed the data must be reliable and available

Bearing in mind the importance of collecting information, companies benefit from new technologies by feeding themselves with multi-source data. Storage systems are becoming so complex that ensuring the access to reliable and relevant data is a major issue for a modern company, especially for analysis experts. As as consequence, how can we design and maintain platforms ensuring data mining and reliability in order to answer operational and strategic needs?

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Our approach to build analytics platforms to collect, store and consolidate your data

Corporate Analytics

Ensure that a Data Warehouse with reliable data is available to produce your official and regular institutional reports.

Data Lake & Streaming Analytics

Design the storage and distribution of a large volume of data using an optimized Data Lake. This data can come from multiple internal and external sources, cover different formats and can be potentially acquired in real time. (IoT, Web…).

Cloud Analytics

Take advantage of the emergence of cloud computing to migrate your current platforms, define a hybrid strategy or mark a break via an analytical platform as a service.

Products & Technologies

ibm

IBM

The combination of IBM's Cognos Analytics and Datastage tools provides one of the most robust and complete Business Intelligence platforms on the market.

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Cloudera Big Data Platform

Cloudera

Big Data is mainly based on different open source products with multiples versions, which leads to problems of coexistence between those products. Cloudera provides a distribution that guarantees the proper functioning of the ecosystem (used products) and provides a support staff team.

AWS Amazon Web Services Logo Cloud Analytics

AWS

AWS provides a complete set of managed services, from data warehouse or data lake implementation to predictive analysis. The cloud company made Analytics as a Service possible.

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