Sizing up to Big Data

Management of very large volumes of data, both structured and unstructured, over 10 TB. They have enormous potential in discovering important information for your business, can improve decision making and create competitive advantage.

The main elements of any Big Data project:

●  Big Data Storage: data storage in the cloud is done in a secure, accessible and easy to use way. Several platforms can be used, depending on your needs: Hadoop, MongoDB

●  Data mining: data extraction using mathematical and statistical methods (cluster analysis, anomaly detection, sequential pattern mining, association rule mining): KNIME, RapidMiner

●  Data Analysis: Data analysis in order to obtain the necessary information in the decision process : Apache Spark, Presto, Tableau

●  Data Visualisation: The best way to present data is to turn it into charts, presentations, and tables : Plotly, DataHero, Google Data Studio, ChartJS

 

Horizontal scaling
Map & reduce algorythms
Data redundancy
NoSQL query rewriting
API and data ingestion
SQL-NoSQL data transfer
Sizing up to Big Data
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