Vishal Jadhav Top 10 Data Engineering Skills Every Company Needs in 2026
Most in demand skills for data engineers in 2026
What Is Data Engineering? A Complete Guide for 2026?
Data Engineering has become one of the most essential disciplines in todayโs data-driven world. Whether youโre a student, a beginner exploring tech, techie or someone interested in how companies use…
Data Modeling – How to design it?
Data modeling is a structured approach to designing and organizing data for a database or system. Here are the key steps: 1. Identify Business RequirementsUnderstand the purpose of the data…
GCP BigQuery
Following are the most important topics in bigquery. This is also important topics in a perspective of GCP Profession Data Engineer exam.
What Are Accumulators, and How Do They Work?
What Are Accumulators, and How Do They Work? This is a most frequently asked PySpark interview question! Hereโs the breakdown: What Are Accumulators? How Do They Work? Example: Pro Tip:…
How Catalyst Optimizer Works in PySpark
๐ช๐ต๐ฎ๐ ๐ถ๐ ๐๐ต๐ฒ ๐๐ฎ๐๐ฎ๐น๐๐๐ ๐ข๐ฝ๐๐ถ๐บ๐ถ๐๐ฒ๐ฟ, ๐ฎ๐ป๐ฑ ๐๐ผ๐ ๐๐ผ๐ฒ๐ ๐๐ ๐ช๐ผ๐ฟ๐ธ? This is a must-know PySpark interview question! Hereโs the breakdown: ๐ช๐ต๐ฎ๐ ๐ถ๐ ๐๐ต๐ฒ ๐๐ฎ๐๐ฎ๐น๐๐๐ ๐ข๐ฝ๐๐ถ๐บ๐ถ๐๐ฒ๐ฟ? ๐๐ผ๐ ๐๐ผ๐ฒ๐ ๐๐ ๐ช๐ผ๐ฟ๐ธ? ๐๐ฒ๐…
How to handle skewed data in PySpark?
๐๐ผ๐ ๐๐ผ ๐ฌ๐ผ๐ ๐๐ฎ๐ป๐ฑ๐น๐ฒ ๐ฆ๐ธ๐ฒ๐๐ฒ๐ฑ ๐๐ฎ๐๐ฎ ๐ถ๐ป ๐ฃ๐๐ฆ๐ฝ๐ฎ๐ฟ๐ธ? This is a critical PySpark interview question! Hereโs the breakdown: โ ๐ช๐ต๐ฎ๐ ๐ถ๐ ๐ฆ๐ธ๐ฒ๐๐ฒ๐ฑ ๐๐ฎ๐๐ฎ? A skewed partition in Spark occurs when…
Given a code – How Catalyst Optimizer Works in This Code?
You have the following code. Explain how the catalyst optimizer works in the code? Explain in detail PySparkโs Catalyst Optimizer is a powerful query optimizer used by Spark SQL to…
Catalist optimizer : Prediction pushdown
if in your code/query if you are filterring the data at the end, Catalyst optimizer (in prediction pushdown) will apply filtering on input or source and then do the other…
What happens when you enable cache() in PySpark and the dataset exceeds the available memory? How does Spark handle this situation, and what potential issues might arise?
both cache() and persist() store data in memory to speed up the retrieval of intermediate data used for computation. However, persist() is more flexible and allows users to specify storage…