Outsourcing Services

Software outsourcing enables businesses to benefit from operational cost savings, shorter time-to-market cycles and access to cutting-edge software development expertise. Saven's outsourcing solutions ranges from application maintenance and development to complete architecture and deployment of Enterprise Applications.

Big Data/Cloud Data Integration &

Warehouse



In today’s fast paced business environment, leading big data companies—enterprises that differentiate, outperform, and adapt to emerging needs faster than competitors—rely on robust big data systems. They see how the purposeful, systematic exploitation of big data, coupled with analytics, reveals opportunities for better business outcomes. Companies need a clear way to transform how they source, interpret and consume information. That requires a flexible modern data and analytics platform capable of turning problems into achievable opportunities. In the era of Big Data, designing a flexible data architecture that scales with business is imperative. Saven helps clients build modern, cloud based data platforms.

  • Build robust, scalable big data architectures in the cloud and create roadmaps to modernize the technology platform that powers data.
  • Migrate to Cloud based data ecosystem to enable the seamless flow, management, and consumption of fast-growing volumes of structured and unstructured data.
  • Harness the power of Machine Learning and Artificial Intelligence technologies to process data at speed and scale, verify its validity and trustworthiness, and make sure everyone in the organization makes data-driven business decisions.

Big Data pipelines for a Large Hedge Fund

  • Data Sources: Files delivered via SFTP, Amazon S3, E-Mails, REST API. 20+ datasets of Petabyte sizes from various vendors.
  • Data Formats: Delimited, compressed files, Parquet, JSON files.
  • ETL Processing: Hadoop/MapReduce programs running on Amazon EMR clusters (500 node cluster). Porting to Databricks Spark platform. Apache Airflow for pipeline monitoring, scheduling.
  • Data warehouse: Amazon RedShift, Snowflake, SQL Server.Using DBeaver management studio.
  • Machine Learning: Create production workflows for Facebook’s Prophet TimeSeries Forecasting Algorithm on Databricks Spark cluster using MLFlow.
  • Data Analytics: Create analytics dashboards on Google Data Studio with BigQuery backend.

CASE STUDIES

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