Towards Data Science

APRIL 6, 2023

Today’s post follows the same philosophy: fitting local and cloud pieces together to build a data pipeline. And, when it comes to data engineering solutions, it’s no different: They have databases, ETL tools, streaming platforms, and so on — a set of tools that makes our life easier (as long as you pay for them). not sponsored.

AWS 79

AWS Data Pipeline Amazon Web Services Python 79

Towards Data Science

JANUARY 7, 2024

Streamline Data Pipelines: How to Use WhyLogs with PySpark for Effective Data Profiling and Validation Photo by Evan Dennis on Unsplash Data pipelines, made by data engineers or machine learning engineers, do more than just prepare data for reports or training models. It lets you log all sorts of data.

Data Pipeline 81

Data Pipeline Hospitality Data Validation Datasets 81

ProjectPro

NOVEMBER 22, 2021

PySpark has exploded in popularity in recent years, and many businesses are capitalizing on its advantages by producing plenty of employment opportunities for PySpark professionals. According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% billion by 2026.

Hadoop 52

Hadoop Python Datasets Metadata 52