Data Analytics Services

Standard solutions using statistics and probability to design, train, execute, and evaluate predictive machine learning models. Use-case-based feature engineering, design, implementation, and evaluation building blocks for customized solutions. Big data ML pipelines on cloud and Hadoop using Spark.

Services

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Data Analytics Components

Data Analytics Components

Data warehouse models, Spark, Cloud, Hadoop, and Kubernetes deployments.

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Data Visualization

Data Visualization

Tableau, PowerBI, Qlik, and Superset.

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Standard Model Implementation

Standard Model Implementation

Spark generics classification implementation and Spark generics recommendation implementation. Spark generics time-series implementation, standard feature engineering, ETL building blocks, standard hyperparameter tuning, cross-validation, and grid search in Spark ML.

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Secure Notebook Deployment

Secure Notebook Deployment

Dynamic privileges and secure containerization allows for robust deployment of containers in Zeppelin and Jupyter.