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Data Engineering Consulting

Our data engineering consulting team can help prepare a data core that is “AI Ready” for your organization. We are prepared to help in consolidating, integrating, and transforming your data for improved usage and deep learning.

Data engineering consulting empowers data insights through enhanced data systems. The Clarkston Consulting team is ready to help in consolidating, integrating, and transforming your data for improved usage and deep learning. Knowing where to start in making data more accessible and effective can be a challenge for many organizations. Especially with large amounts of data sources, analyzing and maintaining data can be overwhelming for teams. Organizations need improved processes to collect, store and analyze their data. Businesses often have a high potential for valuable data insights with many AI use-cases across the organization, but because of poor or non-existent data pipelines, they are not able to tap into those insights. By focusing on improving data structure, businesses can unlock the full potential of AI, driving innovation and ensuring ethical outcomes.

Data engineers design and build systems to improve data accessibility, reliability, and security so that other professionals can gain insights and make business decisions more efficiently. Our data engineering consulting team can prepare a data core that is “AI Ready” for your organization. Our consultants assess existing IT infrastructure/tools, optimize workloads, implement monitoring, and identify any potential technology needs for building an “AI Ready” data core. By implementing data lineage tracking and quality assurance measures, we can enhance the contextualization process, ensuring the integrity of data throughout its processing and analytics. Building a data core that is “AI Ready” through scalable, resilient pipelines and integration tools can provide the foundation for organizations to build and adopt AI solutions. Our data engineering consultants are prepared to help your organization with data collection, storage, transformation, quality, and assurance processes for large amounts of data.

Empower data insights through enhanced data systems.

Knowing where to start in making data more accessible and effective can be a challenge for many organizations. Especially with large amounts of data sources, analyzing and maintaining data can be overwhelming for teams. Organizations need improved processes to collect, store and analyze their data. Businesses often have a high potential for valuable data insights with many AI use-cases across the organization, but because of poor or non-existent data pipelines, they are not able to tap into those insights. By focusing on improving data structure, businesses can unlock the full potential of AI, driving innovation and ensuring ethical outcomes. Data engineers design and build systems to improve data accessibility, reliability, and security so that other professionals can gain insights and make business decisions more efficiently.

Data Engineering Solutions

Our consultants assess existing IT infrastructure/tools, optimize workloads, implement monitoring, and identify any potential technology needs for building an “AI Ready” data core. By implementing data lineage tracking and quality assurance measures, we can enhance the contextualization process, ensuring the integrity of data throughout its processing and analytics.

Data Ingestion and Governance

  • Establishing systems to extract and collect data
  • Strengthening data sources and formats for validation
  • Data indexing and cataloging tools
  • Establishing data lineage
  • Logging and monitoring
  • Ensuring data quality, accessibility, and compliance

Data Storage and Management

  • Setup and configuration of Cloud Data Warehouse and Data Lake
  • Technical advisory
  • Infrastructure optimization
  • Data orchestration
  • Structured and unstructured data storage
  • Security of systems (ie. cybersecurity protocols, data privacy regulations)

Data Transformation

  • Cleaning and enriching data
  • ETL (extract, transform, load) data pipelines
  • Data integration workflows
  • Combining processed data into usable systems
  • Managing data volume and query load

Data Modeling

  • Defining and optimizing data models
  • Evaluating database performance
  • Enabling scaling infrastructure
  • Continuous integration and deployment
  • Scheduling and maintenance

Enhance your data core with data engineering support.

Building a data core that is “AI Ready” through scalable, resilient pipelines and integration tools can provide the foundation for organizations to build and adopt AI solutions. Our data engineering consultants are prepared to help your organization with data collection, storage, transformation, quality, and assurance processes for large amounts of data.  Contact Clarkston’s Data + Analytics team today for a free quote on a data engineering assessment.


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Phone: (919) 484-4400
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