DATA WAREHOUSE

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DATA WAREHOUSE 2018-01-12T09:37:20+00:00

Challenges

  1. Confused with choice of technology stack for your data warehouse?

  2. Struggling with Sub-optimal architecture of Data Warehouse?

  3. Data model does not meet business and domain-specific needs?

  4. Capacity planned does not match with business projections?

  5. Implementation issues in building Data Warehouse Services?

  6. Facing performance issues with your Data Warehouse?

  7. Need to integrate semi-structured and unstructured data of all types into your warehouse?

Data Warehouse Services

GrayMatter’s Best Practices

Built on a holistic, bottom-up approach to ensure the underlying data warehouse architecture meets business requirements
Built to handle performance on large data volumes with a combination of application and database optimization processes and techniques
Extendable and Scalable to add or delete new tables, columns
Data models are compliant with industry specific frameworks like Acord (Insurance), Arts (Retail) etc.
The design optimizes the underlying data storage, aggregation, query and retrieval mechanisms to give highest architecture performance
Built to optimize data storage but extendable and scalable. Platform neutral data warehousing solution
Single Version of truth driven by centralized & KPI definitions
Capability to design schema on-read data warehouses and data lakes

Data Warehouse Services

Data Warehousing and Data Mining

Consulting

Sizing, Technology Selection, Design Advisory, conformed dimensions

Data Warehouse Tools

Implementation

Build Data Warehouse to get Enterprise–wide Single Version of Truth

Data Warehouse Company

Support

Ongoing Maintenance of Data Warehouse

Data Warehouse Implementation

Enhancement & Optimization

Incremental changes in DW design, index optimization

Data Warehouse Solutions

Migration & Upgrade

Transition to platform of your choice

Real Time Data Warehouse

Data Lake

Storage for any type and structure of data

Expertise across Technology Stacks

GrayMatter has proven experience of building, deploying and maintaining data warehouses across technology stacks including SAP BW, SAP HANA, MS SQL SERVER, MS SQL, IBM DB2, Teradata, Oracle, HP Vertica etc.