At, Annanta Source, LLC we walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. We understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology.
“A data pipeline is the combination of architecture, systems, and processes that move data through the stages of the data engineering lifecycle.”
Our practitioners are partially dedicated to research in conjunction with ML engineering responsibilities. At Annanta Source, our AI researchers work on new, advanced machine learning techniques. AI researchers also work with large technology companies, specialized intellectual property startups (OpenAI, DeepMind), or academic institutions. Our specialized machine learning labs are often 100% committed to research.