Big Data Correlation and Indexation Platform
Budget: $750 – $1,500 USD
Every single successful data science project revolves around finding accurate correlations between the input and target variables.
Aim :
Build a cost effective, scalable, and fault-tolerant big data platform based on the principle of data supply chain management in order to index and correlate existing Text / Formatted Data using various Open-Source and minimal cost techs (Apache NiFi, Spark, Ellasandra)
What Is Correlation?
Correlation is a statistical measure; it how one or more variables are related to each other. These variables can be input data features which have been used to forecast our target variable.
Two features (variables) can be positively correlated with each other. It means that when the value of one variable increases then the value of the other variable(s) also increases.
DEADLINE for a V0 : 2 weeks
Aim :
Build a cost effective, scalable, and fault-tolerant big data platform based on the principle of data supply chain management in order to index and correlate existing Text / Formatted Data using various Open-Source and minimal cost techs (Apache NiFi, Spark, Ellasandra)
What Is Correlation?
Correlation is a statistical measure; it how one or more variables are related to each other. These variables can be input data features which have been used to forecast our target variable.
Two features (variables) can be positively correlated with each other. It means that when the value of one variable increases then the value of the other variable(s) also increases.
DEADLINE for a V0 : 2 weeks