Computer Science Data Lakes Data Warehouse 
Dataconomy
MAY 26, 2025
Designing big data architecture They create big data architectures tailored to the organization, selecting suitable technologies to build and maintain scalable data processing systems. Education and career path for big data engineers Aspiring Big Data Engineers typically follow a well-defined educational and career path.
AUGUST 17, 2023
Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development.
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IBM Journey to AI blog
OCTOBER 16, 2023
The rise of the foundation model ecosystem (which is the result of decades of research in machine learning), natural language processing (NLP) and other fields, has generated a great deal of interest in computer science and AI circles. Foundation models can use language, vision and more to affect the real world.
IBM Journey to AI blog
SEPTEMBER 19, 2023
Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Watsonx comprises of three powerful components: the watsonx.ai
O'Reilly Media
OCTOBER 19, 2021
ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses. They are often built by data scientists who are not software engineers or computer science majors by training. Software Architecture.
MAY 9, 2025
He is focused on big data, data lakes, streaming and batch analytics services, and generative AI technologies. Dhara Vaishnav is Solution Architecture leader at AWS and provides technical advisory to enterprise customers to use cutting-edge technologies in generative AI, data, and analytics.
AWS Machine Learning Blog
JUNE 25, 2024
The customer review analysis workflow consists of the following steps: A user uploads a file to dedicated data repository within your Amazon Simple Storage Service (Amazon S3) data lake, invoking the processing using AWS Step Functions. The raw data is processed by an LLM using a preconfigured user prompt.
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