Challenge
Massive amounts of data in various formats generated daily to be monetized.
Solution
Data Analysis : Use Spark, Hive, and Tez to process petabyte-scale data stored in HDFS.
Data Flow Management : Automate pipelines with Airflow and NiFi.
Real-Time Streaming : Capture data with Kafka and Flume, then analyze it with Spark Streaming.
Data Science and Artificial Intelligence : use Spark (CPU/Nvidia GPU) to perform exploratory data analysis and Train machine learning algorithms on petabyte-scale data
Search and Indexing : Use Solr to index and search large datasets.
NoSQL Storage : Use HBase and Phoenix for transactional use cases.
Security and Governance : Apply Ranger policies and track data lineage with Atlas.
Results
Improvements in targeting campaigns.
Reduction in customer churn rate.
Increase in customer satisfaction levels.
Increase in operational efficiency.
Decrease in revenue losses due to fraudulent activities.