New Math Data designs, builds, and optimizes high-performance data architectures and scalable data pipelines to process large volumes of data, fast.
Petabyte-scale analytics needs more than DIY Hadoop. Amazon EMR delivers fully managed Spark, Trino, Flink, and Hive runtimes that slash processing time and cost while auto-scaling to any workload. Deep AWS integration streamlines lakehouse pipelines, and built-in monitoring removes cluster headaches—so you focus on insights, not infrastructure. New Math Data adds proven IaC templates, autoscaling policies, and FinOps playbooks so you launch faster, spend less, and scale without surprises.
Whether you’re refreshing nightly ETL or training the next GenAI model, EMR covers every data-intensive scenario:
Transform terabytes into Iceberg, Delta, or Parquet tables ready for analytics and BI.
Distribute model training and feature engineering with Spark MLlib and Ray on EMR.
Spin up EMR Studio or SageMaker Studio notebooks on demand for ad-hoc exploration.
Combine low-latency Spark jobs with Amazon Redshift zero-ETL to surface insights in seconds.
Ingest and aggregate Kafka / Kinesis streams with Spark Structured Streaming at millisecond latency.
Use Spot, Graviton, and EMR Serverless to slash TCO for periodic heavy crunching.
Validated by AWS for deep expertise in turning EMR’s raw horsepower into reliable business value.
New Math Data’s senior engineers draw on decades of large-scale AI, data, and cloud delivery to solve complex business challenges quickly and effectively.
As an AWS Advanced Tier Partner with 16 validated competencies, we guide migrations and modernizations to keep projects on track and on budget.
We provide a full stack approach—from architecture design through deployment and optimization—across AI, cloud, and advanced analytics.
Every engagement is tailored to the unique requirements of your specific industry, from Financial Services & FinTech and Energy & Utilities to Healthcare & Life Sciences and Education.
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