Business Problem: The client is lacking a single source of truth and optimal process for Data Aquisition, Processing and producing Advanced Analytics in realtime.

Business Solution:
Need new data architecture.
Re-engineering and new data model for the data lake.
Make a single source of truth in Data lake Horton works.
Data science complication.
KPI & generation of new reporting.

Technical Solution:  Develop Data lake, Micro service architecture, API, Database performance issue, Data ingestion.

Technologies Used: Azure Data Lake, Hadoop, NoSQL, Docker, Kubernetes, Microservice architecture, Spark, Hive, Hbase, Kafka, REST API, Hortonworks, Hive, Oracle, SQL Server