Data Engineering Google Cloud Technical Advisors 
CIO
AUGUST 18, 2022
You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. Gartner’s Ronthal sees the evolution of the data lake to the data lakehouse as an inexorable trend.
Perficient
AUGUST 2, 2023
Our award-winning culture attracts and retains proficient people like Courtney Haupt , senior technical consultant. As a senior technical consultant, I help clients better leverage their data. I assist and advise teams when migrating data and infrastructure to Google Cloud Platform (GCP).
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Apiumhub
AUGUST 12, 2021
His main work is software development consulting, which combines actually writing code with advising clients on how to do that better. His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. Currently, he is the T. Twitter: [link] Linkedin: [link].
Mobilunity
DECEMBER 9, 2024
Google Professional Machine Learning Engineer implies developers knowledge of design, building, and deployment of ML models using Google Cloud tools. It includes subjects like data engineering, model optimization, and deployment in real-world conditions. AI consultant. AI solutions architect.
O'Reilly Media - Ideas
JANUARY 25, 2024
That may or may not be advisable for career development, but it’s a reality that businesses built on training and learning have to acknowledge. 1 That makes sense, given the more technical nature of our audience. Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6%
Mobilunity
NOVEMBER 11, 2024
With an advanced LLM, businesses can assemble personalized training data or deliver round-the-clock assistance within internal systems to guide employees through tasks and processes. The technical side of LLM engineering Now, let’s identify what LLM engineering means in general and take a look at its inner workings.
Existek
SEPTEMBER 28, 2023
Monitoring and maintenance: After deployment, AI software developers monitor the performance of the AI system, address arising issues, and update the model as needed to adapt to changing data distributions or business requirements. It covers a dynamic process where everyone works towards achieving set goals and objectives.
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