Data

Modernization

Pricing

data-mordernization-pricing

NuoData Guarantee

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Migration Accuracy

We provide 100% guarantee of the conversion on your target systems.

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Performance

We provide 100% guarantee on the performance of your workloads and will meet or exceed existing levels.

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6-10X Faster

Guaranteed time to market by at-least 6X. Complete projects in 4 months that would otherwise take 2 years.

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50% Less Expensive

Guaranteed cost savings of at-least 50%. Use this money for feature build.

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FREE Estimation

Our expert team will work with you and provide a free estimation of scope, schedule & cost for your modernization project.

Target Tech Stack

Source Platform

Informatica

Hadoop

Oracle

Teradata

SAP Sybase

MS SQL Server

Target Platform

ANY Cloud, Databricks, Snowflake, WatsonX.data

ANY Cloud, Databricks, Snowflake, WatsonX.data

ANY Cloud, Databricks, Snowflake, WatsonX.data

ANY Cloud, Databricks, Snowflake, WatsonX.data

ANY Cloud, Databricks, Snowflake, WatsonX.data

ANY Cloud, Databricks, Snowflake, WatsonX.data

entity-type

Entity Type

Workflow

Mapping

Maplet / Worklet

SQL

Workflow / Oozie

Workload / Hive

Any other SQL

Workflow / Stored Procedures

Workload / SQL Query

Workflow / Oozie

Workload / Hive

Any other SQL

Workflow / Stored Procedures

Workload / SQL Query

Workflow / Stored Procedures / DB Jobs

Workload / SQL Query

entity-type

Target/ Engine

Airflow

Spark / Presto

Airflow

Spark / Presto

Airflow

Spark / Presto

Spark / Presto

Airflow

Spark / Presto

Airflow

Spark / Presto

Spark / Presto

Airflow

Spark / Presto

Airflow

Spark / Presto

Entity Type

Target/ Engine

Industry leaders are choosing NuoDataAchieve breakthroughs, innovate faster, and cut costs. See how you can too.

Modernizing Financial Reporting for a Global Bank

Outcomes:

Successfully converted 95% of MS-SQL stored procedures to Spark SQL automatically
Reduced report generation time by 70%, from hours to minutes
Increased data processing capacity by 5x without significant cost increase
Improved data freshness, with updates now available hourly instead of daily
Achieved 40% reduction in overall IT infrastructure costs

Enhancing Data Discovery and Governance for a Big Credit Card Company

Outcomes:

Reduced time spent searching for relevant data by 70%.
Enhanced data context and understanding across the organization.
Increased collaboration between technical and non-technical users.
Streamlined data operations with a single source of truth for all data assets.

Implementing Efficient and Collaborative Data Quality Management for a Retail Giant

Outcomes:

Reduced time to create and run data validations by 80% (from hours to minutes)
Democratized data quality management, involving both technical and business users
Improved debugging and resolution of data quality issues through centralized metadata and lineage information.
Decreased number of data quality incidents by 40% within six months
Cost savings by eliminating the need for separate data quality tools

Modernizing Financial Reporting for a Multi-National Corporation

Outcomes:

Reduced monthly financial close process from 10 days to 3 days
Improved data quality, with a 95% reduction in data discrepancies
Automated 80% of data transformation tasks, reducing manual effort by 60%
Achieved compliance with regulatory reporting deadlines, avoiding potential fines
Enabled self-service analytics for finance teams, reducing IT dependency by 70%

Streamlining E-commerce Data Integration for Real-Time Analytics

Outcomes:

Reduced data integration time by 75%, from 2 weeks to 3 days
Increased data freshness, with updates now available every 15 minutes instead of daily
Achieved 99.9% data accuracy, eliminating manual errors
Saved 30 hours per week of engineering time previously spent on maintaining data pipelines
Enabled real-time inventory management, reducing stockouts by 40%

Modernizing Financial Reporting for a Global Bank

Outcomes:

Successfully converted 95% of MS-SQL stored procedures to Spark SQL automatically
Reduced report generation time by 70%, from hours to minutes
Increased data processing capacity by 5x without significant cost increase
Improved data freshness, with updates now available hourly instead of daily
Achieved 40% reduction in overall IT infrastructure costs

Implementing Efficient and Collaborative Data Quality Management for a Retail Giant

Outcomes:

Reduced time to create and run data validations by 80% (from hours to minutes)
Democratized data quality management, involving both technical and business users
Improved debugging and resolution of data quality issues through centralized metadata and lineage information.
Decreased number of data quality incidents by 40% within six months
Cost savings by eliminating the need for separate data quality tools

Modernizing Financial Reporting for a Multi-National Corporation

Outcomes:

Reduced monthly financial close process from 10 days to 3 days
Improved data quality, with a 95% reduction in data discrepancies
Automated 80% of data transformation tasks, reducing manual effort by 60%
Achieved compliance with regulatory reporting deadlines, avoiding potential fines
Enabled self-service analytics for finance teams, reducing IT dependency by 70%

Streamlining E-commerce Data Integration for Real-Time Analytics

Outcomes:

Reduced data integration time by 75%, from 2 weeks to 3 days
Increased data freshness, with updates now available every 15 minutes instead of daily
Achieved 99.9% data accuracy, eliminating manual errors
Saved 30 hours per week of engineering time previously spent on maintaining data pipelines
Enabled real-time inventory management, reducing stockouts by 40%

Modernizing Financial Reporting for a Global Bank

Outcomes:

Successfully converted 95% of MS-SQL stored procedures to Spark SQL automatically
Reduced report generation time by 70%, from hours to minutes
Increased data processing capacity by 5x without significant cost increase
Improved data freshness, with updates now available hourly instead of daily
Achieved 40% reduction in overall IT infrastructure costs

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