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Unleash the Power of Data Acceleration with New Math Data! Your data holds the key, but we know that unlocking its full potential can be a real challenge. That's where New Math Data steps in to make your journey to data-driven success a breeze! At New Math Data, we're here to help startups like yours supercharge their data and AI/ML ambitions with unwavering support from our trusted partners. We're committed to providing you with the expertise and guidance you need to build a rock-solid data infrastructure and strategy from day one.

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A specially trained AI model could bring tremendous value to your business. New Math Data will help your team assess AI models customized for your business and compliance requirements. This readiness assessment will give you the roadmap and insight you need to build a high-level architecture. Designed for the business stakeholders whose primary role is positioning their organization to keep up with the demands of today’s fast-paced technological advances Embark on your journey towards AI adoption with the guidance of the seasoned experts at New Math Data.

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Are you ready to harness the full potential of your data? New Math Data is here to help you transform your business through our comprehensive Data Assessment. We will partner with you to understand your unique goals and challenges and assess your current data structure, and origins. We will define a strategy aligned with your desired tech stack. Get ready to unlock valuable insights and drive informed decision-making like never before!

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New Math Data offers a tailored Well-Architected Review service to help organizations optimize their AWS cloud infrastructure. Using AWS’s Well-Architected Framework, we evaluate your current environment and provide detailed insights on how to improve across key pillars: operational excellence, security, reliability, performance efficiency, and cost optimization. Our experts work closely with your team to ensure your AWS architecture meets industry best practices, reduces costs, and enhances cloud performance.

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In the era of cloud-native data warehousing, organizations are seeking to modernize their legacy Teradata environments. Refactoring your Teradata warehouse to leverage the scalability, cost-efficiency, and flexibility of Spark SQL, Redshift SQL, or Athena opens up new possibilities for data analytics and insights.

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Keeping your Java applications up-to-date with the latest language features and security updates is essential for maintaining a competitive edge. However, manual Java refactoring can be time-consuming, resource-intensive, and prone to errors. Amazon Q Developer's Code Transformation feature revolutionizes this process by leveraging generative AI to automate the refactoring of your Java applications, enabling faster upgrades, reduced risk, and improved performance.

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Unlock the power of expert cloud solutions with New Math Data's Solutions Architect On-Demand offering. Designed to help AWS customers and Account Managers (AMs) seamlessly navigate architectural challenges, this service provides free access to professional Solutions Architect (SA) hours tailored to your unique cloud needs.

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In the realm of big data processing, the ability to adapt and optimize Spark applications is crucial. Refactoring Scala-based Spark applications to utilize the flexibility of PySpark 3.0 and the performance advantages of Iceberg tables opens new avenues for data processing efficiency and scalability.