AI/ML
Shifting from a career in software development to data engineering? Here are some tips
The role of a data engineer has gained prominence and sparked curiosity about the data engineer career path and the possibilities it…
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…
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…
Amplifying business value of analytics with Cloud data warehouse
Cloud data warehouses enable companies with a scalable data infrastructure and the ability to handle high-performance analytics workloads. The pandemic has further…
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…