Abhishek Tiwari
JULY 7, 2023
Airflow provides rich scheduling and execution semantics enabling data engineers to easily define complex pipelines, running at regular intervals. From transportation and logistics to e-commerce and food delivery, the core operations of many successful companies can be viewed as workflow problems.
O'Reilly
FEBRUARY 18, 2020
Along with R , Python is one of the most-used languages for data analysis. From pre-built libraries for linear or logistic regressions, decision trees, naïve Bayes, k-means, gradient-boosting, etc., there’s a Python library for virtually anything a developer or data scientist might need to do. This follows a 3% drop in 2018.
All Things Distributed
OCTOBER 7, 2015
We live in a world where massive volumes of data are generated from websites, connected devices and mobile apps. In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data.
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