Cloud Transformation
How to detect and overcome Model Drift in MLOps
Machine learning (ML) is widely regarded as the cornerstone of digital transformation, yet ML models are the most susceptible to the changing…
How to optimize Nested Queries using Apache Spark
Spark has a great query optimization capability that can significantly improve the execution time of queries and ensure cost reduction. However, when…
Improving data processing with Spark 3.0 & Delta Lake
Collecting, processing, and carrying out analysis on streaming data, in industries such as ad-tech involves intense data engineering. The data generated daily…
Increased profitability & customer lifetime value through personalization
Product recommendations based on personal preferences have taken customer-centricity to a whole new level. Advances in technologies such as data analytics and…
10 hacks to prepare for data engineering interviews
Data engineers are a crucial part of the tech team and are responsible for data cleaning, preparation, maintaining data pipeline, and more….
Online marketing spend optimization for a CPG brand on a leading eCommerce platform
To remain relevant and competitive in the market, a majority of CPG companies have shifted their focus on a deeper analysis of…
10 must-have skills for Data Engineering jobs
In today’s fast-paced business landscape, the ability to efficiently design, build, and manage data pipelines is crucial for enterprises aiming to extract…
Automate data ingestion to enable near real-time access to insights
CPG Companies across the globe are looking to get more insights into the latest sales trends from their retailers, to make informed…
5 tips for preparing resume for a Data Engineering interview
Data engineering is a highly specialized field. From distributed computing to building data pipelines, data engineering requires multidisciplinary skills. The term data…