TM
TMTMSnowflake recommends 100–250 MB files for optimal loading, but why? What happens when you load one large file versus splitting it into smaller chunks? I tested this with real data, and the results were surprising. Click to discover how this simple change can drastically improve loading performance.
Master the bronze layer foundation of medallion architecture with COPY INTO - the command that handles incremental ingestion and schema evolution automatically. No more duplicate data, no more broken pipelines when new columns arrive. Your complete guide to production-ready raw data ingestion
Learn Git and GitHub step by step with this complete guide. From Git basics to branching, merging, push, pull, and resolving merge conflicts—this tutorial helps beginners and developers collaborate like pros.
Discover how data management, governance, and security work together—just like your favorite food delivery app. Learn why these three pillars turn raw data into trusted insights, ensuring trust, compliance, and business growth.
Beginner’s journey in AWS Data Engineering—building a retail data pipeline with S3, Glue, and Athena. Key lessons on permissions, data lakes, and data quality. A hands-on guide for tackling real-world retail datasets.
A simple request to automate Google feedback forms turned into a technical adventure. From API roadblocks to a smart Google Apps Script pivot, discover how we built a seamless system that cut form creation time from 20 minutes to just 2.
Step-by-step journey of setting up end-to-end AKS monitoring with dashboards, alerts, workbooks, and real-world validations on Azure Kubernetes Service.
My learning experience tracing how an app works when browser is refreshed
Demonstrates the power of AI assisted development to build an end-to-end application grounds up
A hands-on learning journey of building a login and sign-up system from scratch using React, Node.js, Express, and PostgreSQL. Covers real-world challenges, backend integration, password security, and key full-stack development lessons for beginners.
Embark on a three-night journey of struggle, persistence, and ultimate triumph as a self-proclaimed Docker novice tackles the complexities of deploying a machine learning model on Google Cloud's Vertex AI.
Discover the top 10 data pipeline tools every data engineer should know in 2025. From Airflow to Fivetran, learn how each tool powers modern data workflows, supports real-time analytics, and scales across cloud ecosystems.
Confused between a data lake, data warehouse, and data mart? Discover key differences, real-world use cases, and when to use each architecture. Learn how to build a modern, layered data strategy for scalability, governance, and business insights.
Explore what syntax means in the world of data and AI—from SQL and Python to JSON and APIs. Learn why syntax matters, common errors, real-world examples, and essential best practices for data engineers, analysts, and AI developers in 2025.
Discover how AWS Data Pipeline helps automate data movement and transformation across AWS services like S3, Redshift, and EMR. Learn its key features, benefits, limitations, and how it compares to modern tools like AWS Glue and MWAA.
Learn how to build scalable and secure data pipeline architectures in 2024 with best practices, modern tools, and intelligent design. Explore key pillars like scalability, security, observability, and metadata tracking to create efficient and future-proof data workflows.
Explore the key differences between ETL and ELT data integration methods in this comprehensive guide. Learn when to choose each approach, their use cases, and how to implement them for efficient data pipelines, real-time analytics, and scalable solutions.
Learn the essential role of ETL (Extract, Transform, Load) in data engineering. Understand the three phases of ETL, its benefits, and how to implement effective ETL pipelines using modern tools and strategies for better decision-making, scalability, and data quality.
Explore how AI-assisted coding tools like Vibe and Replit are transforming software development. In this insightful conversation, Supreet Tare shares real-world examples, team dynamics, and best practices for using generative AI in coding—from accelerating MVPs to prompt engineering tips.
Discover why data orchestration and analysis are essential for modern data systems. Learn how automation tools streamline data workflows, boost insights, and scale with your business
Learn what a data ingestion pipeline is, why it's vital for modern analytics, and how to design scalable, real-time pipelines to power your data systems effectively.
Discover the top 15 data warehouse tools for scalable data management in 2024. Learn how to choose the right platform for analytics, performance, and cost-efficiency.
Confused between a data mart and a data warehouse? Learn the key differences, use cases, and how to choose the right data architecture for your business. Explore best practices, real-world examples, and expert insights from Enqurious.
Discover the top 10 predictive analytics tools to know in 2025—from SAS and Google Vertex AI to RapidMiner and H2O.ai. Learn why predictive analytics is essential for modern businesses and how to choose the right tool for your data strategy.
Explore the key differences between descriptive and predictive analytics, and learn how both can drive smarter decision-making. Discover how these analytics complement each other to enhance business strategies and improve outcomes in 2025 and beyond.
Explore the key differences between predictive and prescriptive analytics, and learn how both can drive smarter decisions, enhance agility, and improve business outcomes. Discover real-world applications and why mastering both analytics approaches is essential for success in 2025 and beyond.
Explore the AI-native mindset with Nitin Gupta, Founder of FlytBase, as he discusses how businesses must embrace AI from the core to stay relevant in the evolving tech landscape. In this podcast, learn how AI enhances team productivity, and sparks creativity.
Compare PostgreSQL vs SQL Server in this comprehensive guide. Learn the key differences, strengths, and use cases to help you choose the right database for your business needs, from cost to performance and security.
Learn what Power BI is and how it works in this beginner's guide. Discover its key features, components, benefits, and real-world applications, and how it empowers businesses to make data-driven decisions.
Explore what a Business Intelligence Engineer does—from building data pipelines to crafting dashboards. Learn key responsibilities, tools, and why this role is vital in a data-driven organization.
Discover why data lineage is essential in today’s complex data ecosystems. Learn how it boosts trust, compliance, and decision-making — and how Enqurious helps you trace, govern, and optimize your data journeys.
Learn what a data mart is, its types, and key benefits. Discover how data marts empower departments with faster, targeted data access for improved decision-making, and how they differ from data warehouses and data lakes.
Master data strategy: Understand data mart vs data warehouse key differences, benefits, and use cases in business intelligence. Enqurious boosts your Data+AI team's potential with data-driven upskilling.
Learn what Azure Data Factory (ADF) is, how it works, and why it’s essential for modern data integration, AI, and analytics. This complete guide covers ADF’s features, real-world use cases, and how it empowers businesses to streamline data pipelines. Start your journey with Azure Data Factory today!
Discover the key differences between SQL and MySQL in this comprehensive guide. Learn about their purpose, usage, compatibility, and how they work together to manage data. Start your journey with SQL and MySQL today with expert-led guidance from Enqurious!
Learn Power BI from scratch in 2025 with this step-by-step guide. Explore resources, tips, and common mistakes to avoid as you master data visualization, DAX, and dashboard creation. Start your learning journey today with Enqurious and gain hands-on training from experts!
AI tools like ChatGPT are transforming clinical data management by automating data entry, enabling natural language queries, detecting errors, and simplifying regulatory compliance. Learn how AI is enhancing efficiency, accuracy, and security in healthcare data handling.
Big Data refers to large, complex data sets generated at high speed from various sources. It plays a crucial role in business, healthcare, finance, education, and more, enabling better decision-making, predictive analytics, and innovation.
Discover the power of prompt engineering and how it enhances AI interactions. Learn the key principles, real-world use cases, and best practices for crafting effective prompts to get accurate, creative, and tailored results from AI tools like ChatGPT, Google Gemini, and Claude.
Learn what a Logical Data Model (LDM) is, its key components, and why it’s essential for effective database design. Explore how an LDM helps businesses align data needs with IT implementation, reducing errors and improving scalability.
Discover the power of a Canonical Data Model (CDM) for businesses facing complex data integration challenges. Learn how CDM simplifies communication between systems, improves data consistency, reduces development costs, and enhances scalability for better decision-making.
Discover the 10 essential benefits of Engineering Data Management (EDM) and how it helps businesses streamline workflows, improve collaboration, ensure security, and make smarter decisions with technical data.
Explore how vibe coding is transforming programming by blending creativity, collaboration, and technology to create a more enjoyable, productive, and human-centered coding experience.
Learn how Azure Databricks empowers data engineers to build optimized, scalable, and reliable data pipelines with features like Delta Lake, auto-scaling, automation, and seamless collaboration.
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.
Explore the top 10 data science trends to watch out for in 2025. From generative AI to automated machine learning, discover how these advancements are shaping the future of data science and transforming industries worldwide.
Discover the key differences between data scientists and data engineers, their roles, responsibilities, and tools. Learn how Enqurious helps you build skills in both fields with hands-on, industry-relevant learning.
Discover the 9 essential steps to effective engineering data management. Learn how to streamline workflows, improve collaboration, and ensure data integrity across engineering teams.
Azure Databricks is a cloud-based data analytics platform that combines the power of Apache Spark with the scalability, security, and ease of use offered by Microsoft Azure. It provides a unified workspace where data engineers, data scientists, analysts, and business users can collaborate.
In today's data-driven world, knowing how to make sense of information is a crucial skill. We’re surrounded by test scores, app usage stats, survey responses, and sales figures — and all this raw data on its own isn’t helpful.
In this blog, we will discuss some of the fundamental differences between AI inference vs. training—one that is, by design, artificially intelligent.
This guide provides a clear, actionable roadmap to help you avoid common pitfalls and successfully earn your SnowPro Core Certification, whether you’re making a career pivot or leveling up in your current role.
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.
"Ever had one of those days when you’re standing in line at a store, waiting for a sales assistant to help you find a product?" In this blog we will get to know about -What is RAG, different types of RAG Architectures and pros and cons for each RAG.
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.
Discover how Databricks and Snowflake together empower businesses by uniting big data, AI, and analytics excellence
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
How do major retailers like Walmart handle thousands of customer queries in real time without breaking a sweat? From answering questions instantly to providing personalized shopping recommendations, conversational AI reshapes how retailers interact with their customers.
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.
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.
This conversation helps understand the meaning of embeddings via lucid examples in cricket
A conversation between a mentee and a mentor to clarify why Snowflake should be a preferred choice for enterprise customers
A conversation between a mentee and a mentor to clarify that datawarehouses are different from databases and are purposely designed for analytical purposes
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