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Data Warehousing Services

Data Warehousing Services

Break down silos and bring together distinct data into one repository for exponential growth with Polestar Solutions Data Warehousing Solutions

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With the IT and the data landscape growing increasingly complicated and fragmented with time, a comprehensive enterprise data warehouse solution has become a need rather than a want for organizations. With a well-thought-out data governance and data warehousing strategy enterprises can maximize the return on their data investments by enhancing accessibility, transparency & functionality.

With Polestar Solutions as your Enterprise Data Warehousing partner, you can have a team of experts to guide you in building an advanced data platform as a foundation for all your analytics & business intelligence needs. With our years of experience, we have helped many small, mid, and Fortune-500 companies to build comprehensive data warehouse solutions to provide a unified view of your business.

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Why you need high-performing Data Warehousing solutions for your enterprise

Scalability
Scalability

Get an easily scalable EDW Platform that is elastic, scalable, and cost-friendly with enhanced capabilities

Performance
Performance

Experience better processing speeds even when handling different streams of data to realize total value of your data

Quality
Quality

Integrate with BI to create reports with consistent & standardized data and improved data accuracy

Our Approach

Our Approach

Data Warehousing Services We Offer

Strategy & Consulting
Strategy & Consulting
  • Assessment of Data Sources and existing Infrastructure
  • Data Integration, Accessibility & Migration Requirements
  • Enterprise Data Warehouse Workload Estimation & Costing
  • DWH Platforms & Tech-stack - On premise, Cloud or Hybrid
DWH Development
DWH Development
  • Conceptualizing a Data Model based on business Objectives
  • Identification & Extraction from Data Sources (E)
  • Data Cleaning and Transformation to improve quality (T)
  • Loading the data into a centralized repository (L)
DWH Optimization
DWH Optimization
  • Diagnostics Report of the existing Enterprise DWH Setup
  • Resolving Modeling issues to improve query response time
  • Enabling best practices for Master Data Management
  • Data Cube and Marts assessment
Data Warehouse as a Service
Data Warehouse as a Service
  • Eliminating your burden to implement and maintain a DWH
  • Flexible, scalable and Secure Enterprise Data warehouse storage
  • Experts Support for Data Migration and Cleaning
  • Pay-only for what you-use
Data warehouse Support
Data warehouse Support
  • Data Warehouse Administration & Governance
  • Enterprise Data Warehouse Capacity and Storage Management
  • Prioritized DWH Support and Ticket Resolution
  • Task monitoring & utilization of field-tested data warehouse processes
Data Warehouse Migration
Data Warehouse Migration
  • Migration Services from on-premise to Cloud DWH and vice-versa
  • Assistance and Migration assessment for best DWH Platform
  • EDW Migration Framework to safeguard against downtime
  • Keeping the Data and Business Logic intact

Client Success Stories

Consumer Electronics Giant Streamlined Warehouse Management For Unrivalled Efficiency And Profitability
Consumer Electronics Giant Streamlined Warehouse Management For Unrivalled Efficiency And Profitability

Leading businesses stay relevant through incremental improvement in their processes. This century-old Consumer Electronics company had a knack for evolving with the market.

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Airport Concessionaire Optimizes Data Management With QlikView
Airport Concessionaire Optimizes Data Management With QlikView

Our client is India’s Largest Airport Concessionaire. They strive to provide world-class infrastructure & facilities. To meet the customer’s requirements more effectively...

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Global Alcoholic Beverages Firm Resolves Sales Data Challenges With Microsoft Azure And Power BI Stack
Global Alcoholic Beverages Firm Resolves Sales Data Challenges With Microsoft Azure And Power BI Stack

Our client is a leading beverage multi-national, famous for some iconic alcoholic labels & brands. The Indian division of the company was facing difficulties in data accumulation.

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Data Warehousing Technologies we work on

Latest Insights about Data Warehouse

Frequently Asked Questions

A Database is a collection of data that is organized for storage, accessibility, and retrieval. This is mainly used for supporting the operational data of current data. Because the purpose of a Database is to capture and maintain data the schema with which it is stored is Flat Relational. Whereas, a data warehouse is a place where a huge amount of data is stored from disparate and multiple sources.

This is extremely important for data analysis and decision-making. Because the data stored is historical and current, the data must be integrated from multiple systems, therefore a multidimensional scheme is required.

By implementing Data Warehousing for your business, you can break down data silos, increase data integrity, and store current and historical data. With this, companies can easily access information and shift their reporting from static to dynamic, especially for Business Intelligence reporting.

With Data Warehousing, your company can ensure flexibility of sources, data security, historical accuracy, and timely data extraction for your needs.

With our team of experienced Data Engineers, DWH solution architects, DevOps architects, QA specialists, and Database admins; we at Polestar Solutions provide the best Data Warehousing services including Advisory, Implementation, Support & Migration, and Managed Data Warehousing.

With our experience working with Azure, GCP, AWS, Snowflake, Cloudera, etc. we can help your organization right from identifying the suitable DWH to its implementation.

The stages of a Data warehouse implementation are - Planning, Data Gathering, Implementation, Data Analysis, and Action. In addition to the ETL - Extraction, transformation, and loading phase, which is well known, other components of a Data warehouse include establishing a Central database, leveraging ETL tools, creating Metadata, and access tools

These components are especially important in the Planning and the Data Gathering phase. Once the technology, tools, and the type of data warehouse are selected and the implementation is done (ETL), the users can streamline their Data Analysis and Business action phase.

Data warehouse consultants can include Modelers, Architects, Administrators, ETL Developers, Reports developers, Data Profilers, and BI consultants. Depending on the role and the requirement, Data warehouse consultants develop processes and procedures for data management across the organization.

At Polestar Solutions, our Data warehouse consultants help consolidate data from disparate sources to create a single source of truth for analytical reporting and querying.

Throughout the Data Warehouse Project of DWH Migration or DWH Implementation, our team will be available to support your queries and project implementation throughout. Based on your Data warehousing needs, you would be assigned Consultants, Architects, ETL Data engineers, Analysts, etc., with a Project manager leading the Data Warehouse project implementation along with your stakeholders to ensure timely resolution of queries.

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