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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…
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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

Data Lake Migration To Cloud

  • Customer using own on-premise or data center Hadoop clusters can migrate to Cloud
  • Reduce the operational load from customer teams
  • Use Cloud storage resources to move toward s more Opex model
  • Customer can choose to use Cloud plays Big Data Systems than their own Hadoop implementations e.g. EMR, Dataproc…
  • Help retain integration with other on-premise, data center fir existing cloud systems
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