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Data analytics solutions that offer a holistic approach to data engineering and enterprise test data management that covers all the technical drivers required to fully capitalize on your enterprise data resources.

  • Build data ingestion pipelines that move streaming data and batched data from pre-existing databases, different sources, and data warehouses to a data lake.
  • Develop data pipelines, either from scratch or by using the services provided by major cloud platform vendors.
  • Perform data ingestion using the most performant and scalable data ingestion commercial platforms or using a combination of the open stacks.
  • Data stitching for SQL and NoSQL databases.
  • Data pipeline automation using tools such as PySpark, Data Bricks, and Snowflake.
  • Manage unstructured data using NLP-based algorithms.
  • Information mining and document/search stores (BERT, knowledge graph-based taxonomies).


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