Transform your data with advanced Data Engineering Services on Microsoft Azure

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Build high performance data by data engineering services

Today, enterprises generate massive data which must be optimized and transformed into valuable business knowledge. Our team of experienced data engineers can build a high-performing data infrastructure that will optimize your data and make it ready to meet your organization’s analytics needs.

We leverage Azure Data Services and Azure Data Platform to simplify data architecture, reduce costs, increase profits, and help achieve your precise business goals.

Service offerings

Data migration services

Data migration

  • Plan, strategize and validate
  • Adopt security best practices
  • SQL-based DB to Azure cloud migration
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Data storage services

Data storage and compute

  • Azure Data Lake, Azure CosmosDB, Azure Storage Service—Blobs, Files, Queues, and Tables
  • Delta lakes using Data bricks
  • Azure Synapse
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Data integration services

Data integration

  • Azure Data Factory
  • Azure Event grid
  • Azure Logic apps
  • Azure functions
  • Azure API Management
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Data governance services

Data governance

  • Azure Data Governance
  • Microsoft Purview
  • Azure Data Explorer
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Are you still using on-premises SQL? We can modernize your enterprise data estate with Microsoft Azure.
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Data engineering solution

Data engineering solutions

Our Approach

PreludeSys is an end-to-end service provider for all your data estate needs; explore, prepare, manage, transform, and serve data—at scale.

We are a trusted, certified Microsoft Gold Partner that has helped many mid and large-scale companies manage their data needs through a broad engagement model covering consulting, implementation, support, and optimization services.

Consulting

  • Assess data quality and recommend data security best practices and policy compliance
  • Develop data strategy to meet ever-expanding/changing organizations’ needs
  • Setup data governance framework to manage enterprise data
  • Strategize and develop a roadmap for a new analytics platform

Implementation

  • Data cleansing, mapping, transformation, and reporting
  • SQL database lift and shift migration—Hybrid ETL/ELT approach with Azure Data Factory
  • Implement on-premise to cloud integration using Azure Data Factory or Databricks
  • Real-time data streaming using Azure Databricks (with Java, Scala, Python, R, etc. languages expertise)

Optimization and support

  • Optimize infrastructure resources and automate data scanning for potential issues
  • Monitor data warehouse and database uptime and availability
  • Optimize the ETL process to minimize errors and load time
  • Maintain enterprise data platforms—Data Mart, Data Lake, Data Warehouse, Data Stores, etc.

Value
proposition

Unified data access

Build a data platform on Azure and centralize your data

Lower TCO

Lower total cost of ownership, fully-managed, and always up to date

Data security

Protect your investment with built-in, intelligent security

Data quality

Cleanse data to ensure accuracy, reliability, completeness, and consistency

Data democratization

Democratize data responsibly to power broader digital transformation

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Case studies


medical nutrition

Find out how Salesforce data integration helped a leading medical nutrition company overcome business performance bottlenecks.


Here’s how the world’s leading music company streamlined their sales performances through data curation and ELT process.


Check out how the data engineering process helped a leading automotive company overcome data quality issues using the Azure platform.

Our Perspectives


Build a successful data architecture using data engineering


What is Data Lakehouse: Concept, Key Features, why Data lake house


Know the Differences between Azure data bricks & Azure synapse analytics

Connect with a Data Consultant

Talk to our Experts