It is a Big Data Project on Cloud platform. TUI addresses their future markets with this module. We have designed a new job for some comparisons with Competitors data based on String comparison and matching ratio with different algorithms. We are designing a dynamic pricing module based on above comparison.

It is a Big Data Project on Cloud platform. TUI wants their system to be upgraded, enhanced and moved to cloud platform upgrades. We have designed a new pipeline for some new platforms like Global Marketing Platform(GMP) to process their data using Cloud based tools. Data Flow 1: Source (HDFS) S3 Matillion Snowflake IBM UNICA Data Flow 2: Source (HDFS) S3 Spark (Qubole) Hive (Qubole) IBM UNICA

It is a Big Data Project on Hadoop platform. Employees Payroll processing data pertaining to different production houses will be loaded from source i.e. Amazon (S3) into Hbase tables. This involves capturing the business requirements and making sure validation is in place. Later on to reduce the cost of using EMR cluster we replaced the Hbase with Amazon Redshift and after ETL processing moved the data to Amazon Redshift instead of Hbase .This data is further getting normalized and aggregated for the purpose of Business Intelligence Analysis through FAE(Fluid Analytics Engine) Visualizations/Dashboards.

Data Flow: Source (Amazon S3) àHadoop (Hbase Tables) / Amazon Redshift à Reports (FAE)

It is a Big Data Project on Hadoop platform. American Automobile Association (AAA) wants their system to be upgraded and enhanced to Hadoop 2.7 with corresponding platform upgrades with some claim fraud analytics upgrade. We have designed a new pipeline for some new modules like portfolio from scratch. Data Flow: Source (RDBMS/File) Sqoop/Shell Pig/Hive/Spark Elastic Search Web UI Portals

It is a Big Data Project on Hadoop platform. Consumer Insurance USA data pertaining to Claims, Policies, Agency and Billings & Payments will be loaded from source database into Hadoop HIVE tables. This involves combining data from multiple sources, capturing the business requirements and making sure that correct data is in place. This data is further getting normalized and aggregated for the purpose of Business Intelligence Analysis through TABLEAU Visualizations/Dashboards. The efforts include creation of Landing, Staging, Aggregation Layer and Reports using iMAP Architecture.

Data Flow: Source (SQL Server) àHadoop (Landing Layer à Staging Layer à Aggregation Layer) à Reports (Tableau)

It is a Big Data Project on Hadoop platform. Consumer Insurance USA data pertaining to Claims, Policies, Agency and Billings & Payments will be loaded from source database into Hadoop HIVE tables. This involves combining data from multiple sources, capturing the business requirements and making sure that correct data is in place. This data is further getting normalized and aggregated for the purpose of Business Intelligence Analysis through TABLEAU Visualizations/Dashboards. The efforts include creation of Landing, Staging, Aggregation Layer and Reports using iMAP Architecture. Data Flow: Source (SQL Server) Hadoop (Landing Layer Staging Layer Aggregation Layer) Reports (Tableau)