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A Python Library every Data Engineer should know

A Python Library every Data Engineer should know

As a data engineer in a large company, ensuring data quality is a key responsibility. Even if you perform your tasks diligently and rarely…
Go to the profile of Robin von Malottki
Robin von Malottki
Data Engineering Interview Question: Implementing Schema Enforcement for Data Quality in…

Data Engineering Interview Question: Implementing Schema Enforcement for Data Quality in…

Schema Enforcement: It is all about Ensuring Clean and Consistent Data.
Go to the profile of Brahma, The Data Engineer.
Brahma, The Data Engineer.
Bucketing: The Hidden Spark Trick I Learned on a Healthcare Data Engineering Project.

Bucketing: The Hidden Spark Trick I Learned on a Healthcare Data Engineering Project.

Optimizing Data Joins in PySpark with Bucketing.
Go to the profile of Brahma, The Data Engineer.
Brahma, The Data Engineer.
Latest
Real-Time Data Processing with Databricks and Apache Spark Structured Streaming

Real-Time Data Processing with Databricks and Apache Spark Structured Streaming

Learn how to use Databricks and Apache Spark Structured Streaming for real-time data processing.
Go to the profile of Rui Carvalho
Rui Carvalho
One Off to One Data Platform: The Unscalable Data Platform [Part 1]

One Off to One Data Platform: The Unscalable Data Platform [Part 1]

Today, we have access to highly scalable data tools handling massive volumes that would have been unthinkable just a few years ago. LLMs…
Go to the profile of Lulu Cheng
Lulu Cheng
Autopilot Your Data Science: Boost Productivity with LLMs & AI Automation

Autopilot Your Data Science: Boost Productivity with LLMs & AI Automation

As a Data Scientist or Data Analyst, optimizing and automating workflows is key to staying competitive and maximizing productivity. With…
Go to the profile of Talha Nazar
Talha Nazar
A Step-by-Step Guide to Ingesting REST API Data into Apache Spark

A Step-by-Step Guide to Ingesting REST API Data into Apache Spark

Learn Best Practices for Ingesting REST API Data with PySpark to Build Robust, Real-Time Data Pipelines in Apache Spark
Go to the profile of Pritam Deb
Pritam Deb
Array Problems You Can't Miss for Data Engineering Interviews (Part 1)

Array Problems You Can't Miss for Data Engineering Interviews (Part 1)

Prepare for your data engineering interviews with key array problems. Tackle common challenges, sharpen your skills in this essential guide
Go to the profile of Pritam Deb
Pritam Deb
Freelancing for Data Engineers

Freelancing for Data Engineers

A quick compilation of various services you can offer as a freelance data engineer
Go to the profile of Gaurav Thalpati
Gaurav Thalpati
Data Engineering for ML: Building a Customer Churn Prediction Pipeline with Airflow

Data Engineering for ML: Building a Customer Churn Prediction Pipeline with Airflow

My articles are open to everyone; non-members can read the full article by clicking this link .
Go to the profile of Ritam Mukherjee
Ritam Mukherjee
SPARK SUBMIT COMMAND : Apache Spark

SPARK SUBMIT COMMAND : Apache Spark

Asked By Most of The Recruiters For Data Engineer Interview
Go to the profile of B V Sarath Chandra
B V Sarath Chandra
Building End-to-End Customer Insights Pipeline by Integrating Multiple Data Sources in Spark With…

Building End-to-End Customer Insights Pipeline by Integrating Multiple Data Sources in Spark With…

My articles are open to everyone; non-members can read the full article by clicking this link .
Go to the profile of Ritam Mukherjee
Ritam Mukherjee
PySpark Interview Questions You Can’t Miss! -Part 1

PySpark Interview Questions You Can’t Miss! -Part 1

Welcome to Part 1 of our Pyspark Interview Questions You Can’t Miss!
Go to the profile of Arpita Mishra
Arpita Mishra
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