Data Engineering Data Lakes Deep Learning 
AWS Machine Learning Blog
JUNE 5, 2023
Many teams are turning to Athena to enable interactive querying and analyze their data in the respective data stores without creating multiple data copies. Athena allows applications to use standard SQL to query massive amounts of data on an S3 data lake. Create a data lake with Lake Formation.
ODSC - Open Data Science
FEBRUARY 2, 2023
As you’ll see in the next section, data scientists will be expected to know at least one programming language, with Python, R, and SQL being the leaders. This will lead to algorithm development for any machine or deep learning processes. Java’s still being used frequently as many frameworks run on JVM (Java Virtual Machine).
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AWS Machine Learning Blog
SEPTEMBER 1, 2023
These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.
NOVEMBER 24, 2023
Data scientists and ML engineers require capable tooling and sufficient compute for their work. Therefore, BMW established a centralized ML/deep learning infrastructure on premises several years ago and continuously upgraded it. He has a record of working with distributed teams across the globe within large enterprises.
ODSC - Open Data Science
NOVEMBER 19, 2024
Here’s a breakdown of ten top sessions from this year’s conference that data professionals should consider. Topological Deep Learning Made Easy with TopoX with Dr. Mustafa Hajij Slides In these AI slides, Dr. Mustafa Hajij introduced TopoX, a comprehensive Python suite for topological deep learning.
ODSC - Open Data Science
MARCH 11, 2024
NLP and LLMs The NLP and LLMs track will give you the opportunity to learn firsthand from core practitioners and contributors about the latest trends in data science languages and tools, such as pre-trained models, with use cases focusing on deep learning, speech-to-text, and semantic search.
The MLOps Blog
JUNE 27, 2023
Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. This provides end-to-end support for data engineering and MLOps workflows.
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