Our Use Cases

Built a true self service business intelligence platform for 10+ line of businesses leveraging At Scale and allowing 300+ business users directly access, analyze and produce shared insights across the organization through live connections to 10 TB of big data and RDBMS sources via a unified semantic layer, regardless of where the data is stored. 

• Flexible and automated building of Hadoop clusters using Ansible playbooks. Built different Big data MapR clusters based on workload types ( Batch, Real-time, BI, ADHOC etc. ) supporting 100+ application teams.  
• Leveraged Password Vault for secret management, github for source code & configuration management.
• Cluster designs, layouts, administration & performance tuning of the cluster services as well as upgrades, patches and monitoring.

• Created robust data security authorization framework for Big Data MapR & Cloudera platforms hosting 7+ Petabytes of production data covering 15+ data domains.  
• Created centralized access control, streamlined data policy management and consistent data sharing and compliance using Privacera , MapR ACE, Ranger KMS , Atlas & HSM for enterprise data lake platform. 

Built a true self service business intelligence platform for 10+ line of businesses leveraging AtScale and allowing 300+ business users directly access, analyze and produce shared insights across the organization through live connections to 10 TB of big data and RDBMS sources via a unified semantic layer, regardless of where the data is stored. 

• Ad-hoc, mission-critical BI – and everything in between – directly on cloud data lake storage, without copying the data into warehouses, marts, extracts or cubes.
• Data analysts and data scientists are empowered to discover, curate, analyze, and share datasets with a self-service mindset. Users can build interactive dashboards through native Dremio connectors in tools, such as Tableau and Power BI.

• Migrated 50+ complex application teams from RDBMS to Hadoop & from Hadoop MapR 5.2 to 6.1. The migration included building of various clusters based on workload type ( Batch, Real-time, BI, ADHOC etc. ) involving various tools & services like Hive, Spark, HBase, Map-Reduce. 
• Created migration plans, deployment architectures, security authentication & authorization, including data, metadata, jobs and user migration. 
• Involved in detailed test case creation and validation. Identity capacity needs and resource allocation via queues.  

• Built real-time processing cluster for Fraud & Authentication services enabling them make real-time fraud decisions, fraud detection, prevention as well as perform fraud analytics. 
• Procured 27 nodes and built MapR real-time cluster hosting 3.2 Billion messages per month, installed MapR core services including spark and drill clients.
• Created MapR-DB JSON tables and secondary indexes. Set-up Business continuity platform and replication set-up. 
• Helped application teams deploy microservices on top of the MapR-DB database.  

Built Enterprise Data Catalog enabling metadata discovery, visualize data lineage, identify and isolation of sensitive data as well as data profiling using Lumada Data Catalog.