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Data Engineering Services

Data Engineering Services

Design and build data repositories aggregating data from across your systems and build granular analysis of your entire business

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Today's organizations generate massive amounts of data that need to be optimized and transformed into valuable business knowledge. Our expert Data Engineering team at Polestar Solutions helps enterprises maximize the value of their data by taking a curated approach. We build a strong foundation of data aligned to our goals to tackle critical issues that prevent businesses from exploiting opportunities to scale and transform themselves into data-savvy competitors.

Our Expertise

Data Discovery
Data Discovery
Data Governance
Data Governance
Data Modeling
Data Modeling
Data Mining
Data Mining
Data Integration
Data Integration
Data Digitization
Data Digitization
Master Data Management
Master Data Management
Data Visualization
Data Visualization

Our Services

Technology enabled services and solutions for optimized, effective data management

Data Engineering
Data Engineering

  • Data discovery & Data maturity assessment
  • Data quality checks and standardization
  • Data Lakes and Data Warehouses setup
  • Database Optimization
  • Advanced data analytics
  • Data Pipeline Automation

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Data Warehousing
Data Warehousing

  • Data Modeling & Architecting
  • Assessment of Data Sources and existing Infrastructure
  • Data Governance & Management
  • Data Integration & ETL Pipeline
  • Data Warehouse Modernization
  • Data warehouse Support

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Data Lake
Data Lake

  • Enterprise Data Lake Implementation & Management
  • Data access flexibility
  • Build Data Lake Architectures
  • Reliable Data Governance
  • Data Lake Migration
  • Data Lake Analytics

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Big Data
Big Data

  • Big Data Infrastructure Services
  • Enterprise Data Warehouse Optimization
  • Data Lake Solutions & Services
  • Real-time predictive analytics solutions
  • Big data implementation
  • Big data support

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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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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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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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Recent Articles about Data Management

Frequently Asked Questions

Enterprise data management can be described as an organization's capacity to integrate, govern, secure, and disseminate data from multiple data streams. This includes the ability to transfer data accurately and securely among partners, subsidiaries, applications, and processes. Moreover, it also comprises many sub-processes, such as data collection, data ingestion, data preparation, data storage, data visualization, and data analytics.

Whether on-premise or hybrid, a cloud framework is ideal for Enterprise Data Management because it helps your company make brighter, data-driven decisions anywhere and any device as accessibility is not an issue. It can also make it easier to integrate the insights from your data into your products. Moreover, it ensures you have all the right elements to deliver essential data to your business.

Without quality-assuring governance, enterprises not only miss out on data-driven opportunities; they waste resources. Formulating enterprise-level Data Governance policies for data storage, collection, and analysis is vital to building an EDM framework. Moreover, an effective data governance framework leads to better data analytics, better decision-making, and improved operations support. It is also the crucial step toward building a single source of truth towards achieving true Data Democracy.

Enterprises must simplify access to ever-evolving data, making it more available and predictable. It is beneficial for data scientists and business analysts to access more data resulting in better outcomes. We help enterprises by supporting native data access abilities, which enable manipulation of various types of data from differentiated structures and architectures.

Our team is capable of providing an integrated set of services and solutions, enabling clients to evaluate risks to data, understand the sensitivity of their data, implement and monitor security controls, mask sensitive data, assess user security, monitor user activity, and address data security compliance requirements, all under one umbrella.

Yes, We offer a solid infrastructure and technology stack . As your business grows, the organization's overall productivity, security, and connectivity will become more and more dependent on computing speed, cloud solutions, and IT reliability. With that, we help your business grow more vulnerable to online security breaches. These components work together to create effective communication, efficient processes, and productive workflow within your company.

Get started On Your Data Journey with Data Engineering Services

Why Partner with Polestar Solutions for your Data Engineering Implementations?
  • A pool of 400+ BI consultants, developers, and architects

  • A repeat business ratio of well over 90% for BI Clients

  • Successful delivery of 1000+ BI projects for Fortune 500 & 1000 enterprises

  • Partner of choice for technology OEMs like Microsoft, Qlik, Alteryx & Tableau

  • ISO 9001 certified gives a hallmark to the quality of BI services and solutions

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