Big Data and Data Lakehouse
Data Engineering , Data Modelling
Our journey delivering performance management projects showed that giving Business Users easy access to data improves their decision-making and helps monitor actual vs expected results. Real-time monitoring of customer behavior or goods shipment can prevent losses or increase profits by allowing for quick action.
S2AI offers quick-to-deploy, non-intrusive solutions to give Business Users better data insights, fitting into any existing IT landscape.
Data Lake
S2AI designs and implements data lakes, which store massive amounts of raw data in their native format until they are needed. A data lake uses a flat architecture to store data, whereas a hierarchical data warehouse stores data in files or folders. Each data element in a lake is given a unique identifier and is assigned a set of extended metadata tags. When a business question arises, the data lake can be queried for relevant data, which can then be analyzed to help answer the question.
Modern DataWarehouse
Modern data warehouses have been proven to be an effective alternative for supporting various analytical use cases, establishing the appropriate level of governance, and enabling optimal data retrieval. It is also a good option when a customer does not have enough data to justify "Big Data" or a Data Lake Implementation but still needs to leverage new technologies and concepts to augment their exciting data warehouse after years of investment.
Data Ingestion , real time, near real time
Classic ETL has shown some limitations when it comes to treating unstructured data or processing large amounts of data over the years. And, most of the time, this exercise necessitates a significant amount of resources (memory, CPU, etc.). New data ingestion tools emerged to overcome traditional ETL limitations and enable real-time data processing with limited resources.
Self Service Reporting & Query at place
Design and build self-service reporting platforms that embrace "Query at place" concepts using best-of-breed reporting technology. Users (business or IT) can run ad-hoc analysis and create their own dashboards without having to move raw data from its original storage location.
Complex Event Processing
S2AI designs and implements Complex Event Processing platforms to track and analyze streams of information (data) about events that occur (transactions, payments, delivery, connection), and derive a conclusion that we make available to business users through Dashboards and, eventually, notification processes.