Data Analytics
Data Analytics Jumpstart
- Defined scope of Reports and Dashboards with associated data pipelines
- Get data from multiple source systems
- 4-8 weeks engagement
- Cloud Native tools with no licensing fees
- Visualization, Reporting and Dashboarding tool of choice
- Orient Customer team to use data preparation, querying and data blending
- Enable customer teams to start using next gen cloud data platforms
Data Warehouse Development
- Build a data warehouse house on the cloud from scratch
- Use databases like BigQuery, Snowflake and Others
- Data Ingestion from multiple systems
- Data Tiers for raw, processed and aggregated data
- Data pipelines for streaming and batch data
- Data Quality mechanism
- Security, Auditing, Governance
- Iterative development making functionality available to user groups and business units
Data Warehouse Migration To Cloud
- Migrate customer have legacy data warehouses on premise and other clouds
- Legacy Data warehouses may be hosted in Oracle, MS SQL Server, Teradata, Netezza..
- Lift and Shift to same technology or new age analytical databases like Big Query and Snowflake
- Keep existing ETL tools or move to server less, managed open source tools on Cloud
- Smooth cutover for users and upstream and downstream consuming data from data warehouses
- Use existing reporting tools or migrate to tools like Looker, Tableau, PowerBI, Data Studio
Data Lake On Cloud
- Build a data lake on cloud using Hadoop, EMR, Dataproc, Data bricks
- Help customer choose technology using proof of concepts
- Differentiate between data lake and date warehouse technologies
- Migrate customer data to cloud and use cloud storage options that are cheaper and reliable
- Data processing using Spark jobs