Modern cybersecurity operations depend on fast, reliable data movement across cloud, on-premises and hybrid environments. Security teams collect data from security information and event management ...

CI/CD pipelines are optimized for code deployments. Long-running operational processes and self-service workflows can be orchestrated more flexibly with Kestra. Philip Lorenz works as a DevOps and ...

A Prefect-based ETL pipeline orchestrator that automatically detects schema drift, quarantines bad records, applies healing strategies, and sends structured alerts with root-cause hints. etl_framework ...

I built this repo as a cumulative sequence. The early notebooks teach Python, data modeling, storage, processing, and streaming. Later chapters stop talking in abstractions and force those ideas into ...

Your browser does not support the audio element. Five years ago, deploying a machine learning model meant Jupyter notebooks, pickle files, and a prayer that your ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Senior Data Analyst at Coresignal. Always striving to bring the most value out of data. Exploring text processing tools. Ensuring data quality is paramount for businesses relying on data-driven ...

Apache Airflow is a platform for managing data pipeline that is written in Python, used for creating and scheduling tasks. Being entirely based on code, it is extensively used in data engineering for ...