Data Science ETL Software Engineer 
ODSC - Open Data Science
MARCH 12, 2025
The field of data science has evolved dramatically over the past several years, driven by technological breakthroughs, industry demands, and shifting priorities within the community. Data Engineerings SteadyGrowth 20182021: Data engineering was often mentioned but overshadowed by modeling advancements.
Marktechpost
JULY 5, 2024
Programming for Data Science with Python This course series teaches essential programming skills for data analysis, including SQL fundamentals for querying databases and Unix shell basics. Students also learn Python programming, from fundamentals to data manipulation with NumPy and Pandas, along with version control using Git.
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The MLOps Blog
SEPTEMBER 7, 2023
Data Scientists and ML Engineers typically write lots and lots of code. From writing code for doing exploratory analysis, experimentation code for modeling, ETLs for creating training datasets, Airflow (or similar) code to generate DAGs, REST APIs, streaming jobs, monitoring jobs, etc.
ODSC - Open Data Science
OCTOBER 9, 2024
The rapid evolution of AI is transforming nearly every industry/domain, and software engineering is no exception. But how so with software engineering you may ask? These technologies are helping engineers accelerate development, improve software quality, and streamline processes, just to name a few.
ODSC - Open Data Science
JANUARY 18, 2024
They’ll also work with software engineers to ensure that the data infrastructure is scalable and reliable. These professionals will work with their colleagues to ensure that data is accessible, with proper access. So let’s go through each step one by one, and help you build a roadmap toward becoming a data engineer.
Pickl AI
JULY 25, 2023
Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Big Data Technologies: Hadoop, Spark, etc.
ODSC - Open Data Science
SEPTEMBER 27, 2023
Data Warehouses and Relational Databases It is essential to distinguish data lakes from data warehouses and relational databases, as each serves different purposes and has distinct characteristics. Schema Enforcement: Data warehouses use a “schema-on-write” approach. You can connect with her on Linkedin.
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