This is the first in a five-part series detailing my experience implementing advanced data engineering solutions with Databricks on Google Cloud Platform. The series covers schema evolution, incremental loading, and orchestration of a robust ELT pipeline.
Discover the 7 major stages of the data engineering lifecycle, from data collection to storage and analysis. Learn the key processes, tools, and best practices that ensure a seamless and efficient data flow, supporting scalable and reliable data systems.
This blog is troubleshooting adventure which navigates networking quirks, uncovers why cluster couldn’t reach PyPI, and find the real fix—without starting from scratch.
Explore query scanning can be optimized from 9.78 MB down to just 3.95 MB using table partitioning. And how to use partitioning, how to decide the right strategy, and the impact it can have on performance and costs.
Dive deeper into query design, optimization techniques, and practical takeaways for BigQuery users.
Wondering when to use a stored procedure vs. a function in SQL? This blog simplifies the differences and helps you choose the right tool for efficient database management and optimized queries.
This blog talks about the Power Law statistical distribution and how it explains content virality
Discover how BigQuery Omni and BigLake break down data silos, enabling seamless multi-cloud analytics and cost-efficient insights without data movement.
In this article we'll build a motivation towards learning computer vision by solving a real world problem by hand along with assistance with chatGPT
This blog explains how Apache Airflow orchestrates tasks like a conductor leading an orchestra, ensuring smooth and efficient workflow management. Using a fun Romeo and Juliet analogy, it shows how Airflow handles timing, dependencies, and errors.
The blog underscores how snapshots and Point-in-Time Restore (PITR) are essential for data protection, offering a universal, cost-effective solution with applications in disaster recovery, testing, and compliance.
The blog contains the journey of ChatGPT, and what are the limitations of ChatGPT, due to which Langchain came into the picture to overcome the limitations and help us to create applications that can solve our real-time queries
This blog simplifies the complex world of data management by exploring two pivotal concepts: Data Lakes and Data Warehouses.
An account of experience gained by Enqurious team as a result of guiding our key clients in achieving a 100% success rate at certifications
demystifying the concepts of IaaS, PaaS, and SaaS with Microsoft Azure examples
Discover how Azure Data Factory serves as the ultimate tool for data professionals, simplifying and automating data processes
Revolutionizing e-commerce with Azure Cosmos DB, enhancing data management, personalizing recommendations, real-time responsiveness, and gaining valuable insights.
Highlights the benefits and applications of various NoSQL database types, illustrating how they have revolutionized data management for modern businesses.
This blog delves into the capabilities of Calendar Events Automation using App Script.
Dive into the fundamental concepts and phases of ETL, learning how to extract valuable data, transform it into actionable insights, and load it seamlessly into your systems.
An easy to follow guide prepared based on our experience with upskilling thousands of learners in Data Literacy
Teaching a Robot to Recognize Pastries with Neural Networks and artificial intelligence (AI)
Streamlining Storage Management for E-commerce Business by exploring Flat vs. Hierarchical Systems
Figuring out how Cloud help reduce the Total Cost of Ownership of the IT infrastructure
Understand the circumstances which force organizations to start thinking about migration their business to cloud