Sobhan Hota is a senior member of Pentaho’s Professional Services, specializing in data integration and analytics. He has extensive experience deploying and integrating enterprise data solutions for customers across various industries, leveraging frameworks and template-driven data integration using Pentaho. With a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs), Sobhan has applied natural language processing (NLP) techniques to solve complex, nuanced problems with high accuracy. His work in NLP has been published and presented at conferences and colloquiums. A senior member of ACM, Sobhan holds an MS in Computer Science-CS from Illinois Institute of Technology-Chicago, M. Tech in CS University of Hyderabad and B.E. in CS from Utkal University.
By Sobhan Hota
For organizations that rely on data-driven decision-making, the ability to scale analytics efficiently, manage governance, and optimize data integration pipelines is mission-critical. Yet many enterprises still operate on aging architectures, limiting their ability to process, transform, and analyze data at scale.
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Published on: March 5, 2025
By Duane Rocke
As organizations increasingly adopt multi-cloud architectures, they face growing challenges in managing data pipelines, enforcing governance, and maintaining performance across hybrid environments.
Published on: March 3, 2025
While data is the engine that drives the financial services industry, governance, security, and performance dictate how effectively organizations can leverage it. Financial institutions handle sensitive transactions, regulatory reporting, and large-scale data analytics, requiring data pipelines that are secure, scalable, and operationally resilient.
Published on: February 24, 2025