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  4. Data Engineering: Enriching Data Pipelines, Expanding AI, and Expediting Analytics

Data Engineering: Enriching Data Pipelines, Expanding AI, and Expediting Analytics

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Over 10 years ago, DZone welcomed the arrival of its first ever data-centric publication. The trends surrounding the data movement have since held many titles — big data, data science, advanced analytics, business intelligence and analytics, data analytics, and quite a few more. Despite its varying vernacular, the purpose has remained the same: to build intelligent, data-driven systems. The industry has come a long way from organizing unstructured data and driving cultural acceptance to adopting today's modern data pipelines and embracing business intelligence capabilities.

Join us for the Data Engineering Virtual Roundtable as our panel of contributors and community members draw on all former terminology, advancements, and discoveries into the larger picture, illustrating where we stand today along our unique, evolving data journeys. The panel will uncover the keys to successfully build a foundation for fast and vast data intelligence across their organization, leveraging everything from seamless data ingestion, processing, and integration techniques to vector data and LLMs, data governance, and observability.


Presenters:

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Jesse Davis

Chief Technologist, DZone

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Dr. Tuhin Chattopadhyay

Professor - AI and Analytics, Jagdish Sheth School of Management Bengaluru, India

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Joel Lubinitsky

Senior Software Engineer, Voltron Data

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Sreenath Devineni

Lead Data Engineer, CVS Health

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Fred Jacquet

Technology Evangelist, AI[4]Human-Nexus

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Pedram Navid

Head of Data Engineering and DevRel at Dagster Labs

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Ebere OYEKWE

Founder/Data Strategy, Tekdlin

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Barzan Mozafari, PhD

Founder and CEO, Keebo

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