Data Lifecycle Management
Offerings include a well thought out framework driven set of activities such as Data ingestion design, deployment, Governance & Management Warehousing, and Business Intelligence & Analytics:
- Data Lakes & Enterprise Data Warehouse (EDW) with automated / manual data
ingestion using Big Data tools such as Apache Kafka, Hadoop, Hive, HBASE,
Cloudera & Cassandra.
- Support for already ongoing data science projects involving the tools including
and not limited to KNIME, Python in Jupyter, Zeppelin, Tensorflow, OpenCV, Scala, H2O.
AI, SparkML, RapidMiner
- Business Intelligence (BI): Data Visualization, Reporting and Analytics using
Microsoft Power BI, Salesforce Tableau & TIBCO Spotfire. Mobile app enablement &
on-the-go decision support.
- Advanced expertise in containerization – Kubernetes and Dockers.
- Migration of data from traditional RDBMS databases to advanced NoSQL databases.