Kylo Setup for Data Lake Management

Kylo is a feature-rich data lake platform built on Apache Hadoop and Apache Spark. It provides data lake solution enabling self-service data ingest, data preparation, and data discovery. It integrates best practices around metadata capture, security, and data quality. It contains many special purposed routines for data lake operations leveraging Apache Spark and Apache Hive.

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Kylo Setup for Data Lake Management

Call Detail Record Analysis –  K-means Clustering with R

Call Detail Record (CDR) is the information captured by the telecom companies during Call, SMS, and Internet activity of a customer. This information provides greater insights about the customer’s needs when used with customer demographics. Most of the telecom companies use CDR information for fraud detection by clustering the user profiles, reducing customer churn by usage activity, and targeting the profitable customers by using RFM analysis.

read more

Call Detail Record Analysis – K-means Clustering with R

Kylo Setup for Data Lake Management

Kylo is a feature-rich data lake platform built on Apache Hadoop and Apache Spark. It provides data lake solution enabling self-service data ingest, data preparation, and data discovery. It integrates best practices around metadata capture, security, and data quality. It contains many special purposed routines for data lake operations leveraging Apache Spark and Apache Hive.

read more

Kylo Setup for Data Lake Management

Call Detail Record Analysis –  K-means Clustering with R

Call Detail Record (CDR) is the information captured by the telecom companies during Call, SMS, and Internet activity of a customer. This information provides greater insights about the customer’s needs when used with customer demographics. Most of the telecom companies use CDR information for fraud detection by clustering the user profiles, reducing customer churn by usage activity, and targeting the profitable customers by using RFM analysis.

read more

Call Detail Record Analysis – K-means Clustering with R

Call Detail Record Analysis –  K-means Clustering with R

Call Detail Record Analysis – K-means Clustering with R

Call Detail Record (CDR) is the information captured by the telecom companies during Call, SMS, and Internet activity of a customer. This information provides greater insights about the customer’s needs when used with customer demographics. Most of the telecom companies use CDR information for fraud detection by clustering the user profiles, reducing customer churn by usage activity, and targeting the profitable customers by using RFM analysis.