The Cost of Bad Data Practices A recent report by commercial data and analytics firm Dun and Bradstreet reveals that businesses are missing out on revenue opportunities and losing customers due to ineffective data practices. The research, based on a survey…
How DoorDash Became the Dominant Food Delivery Service
DoorDash‘s journey from a small startup to the dominant player in the food delivery market is a remarkable story of strategic execution and data-driven innovation. This article delves into the three critical elements that fueled DD’s rise: a clear strategy and…
Riding the Data Wave: How Uber Transforms Transportation with Data Science
Uber leverages data science and BD to revolutionize transportation and logistics on a global scale. With over 8 million users, 1 billion trips, and 160,000 drivers across 449 cities in 66 countries, Uber has become a leading force in the ride-sharing…
How Netflix Leveraged Big Data to Boost Revenue by Billions
Netflix‘s remarkable success in the entertainment industry can be largely attributed to its strategic use of big data and analytics. With a market valuation exceeding $164 billion, Netflix has outpaced competitors such as Disney, thanks in part to a customer retention…
The Future of the Modern Data Stack: Insights and Innovations
In the rapidly evolving landscape of data management, understanding the modern data stack is crucial for organizations aiming to leverage their data effectively. This blog explores the past, present, and future of the modern data stack, focusing on key innovations and…
Transforming Data Integration: The Shift from ETL to ELT in the Cloud Era
What You’ll Learn in This Blog ETL vs ELT Let’s start by understanding the difference between ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform). ETL ETL emerged in the 90s with the rise of data warehousing. The process involved: Before…
The Data Revolution: Transitioning from Warehouses to Lakehouses for Enhanced Analytics
The evolution of data analytics platforms has seen a significant shift from traditional data warehouses to modern data lakehouses, driven by the need for more flexible and scalable data management solutions. The Shift in Data Management Historically, organizations relied heavily on…
Mastering Java: Essential Code Techniques for Modern Development
Java Roadmap Mastering Java requires a step-by-step approach, moving from the basics to advanced topics. Here’s a streamlined roadmap to guide your journey: 1. Setup and Tools 2. Core Java Concepts 3. File I/O and Collections 4. Advanced Java Concepts 5….
Head of data – Job
Job Description Because SaaS does not satisfy most of specific needs, we need to market new kind of CDP to empower data management. Requirements: We can consider someone junior, but you really should have at least academic experience with the technologies…
How to parse dynamic HTML content using Python
In the previous tutorial we learning how to parse HTML in Python. In the Python tutorial we are going to learn to to parse dynamic HTML content generated by JavaScript, jQuery, Ajax, Angular or other dynamic pages technology. What’s the problem with…