Srini

Srinimf

Blog: https://srinimf.com/
Blog: https://srinimf.com/
Profile: https://srinimf.com/author/moonrobot/
Profile: https://srinimf.com/author/moonrobot/
Homepage: https://srinimf.com
Homepage: https://srinimf.com

Mastering SQL Date Extraction and Monthly Trends Using LAG()

Learn how to extract the year from a date in MySQL and SQL Server, and analyze monthly customer order growth using the SQL LAG() window function. Includes sample tables, inserts, and output.
Top 25 Snowflake Interview Questions & Answers for 2025 | Snowflake Quiz

Prepare for your Snowflake interview with our 25 advanced and beginner Snowflake quiz questions. Learn about virtual warehouses, Time Travel, Snowpipe, streams, tasks, data sharing, and more. Includes answers and explanations for effective Snowflake prep
Hadoop vs AWS Glue vs Databricks vs Snowflake: Complete 2025 Comparison

Compare Hadoop, AWS Glue, Databricks, and Snowflake in 2025. Explore architecture, fault tolerance, parallel processing, scalability, and cost to choose the best platform for ETL, analytics, and machine learning.
Manage and Monitor 100+ DLT Pipelines with Central Event Logs

Managing 100+ Delta Live Tables (DLT) pipelines in Databricks can be challenging, especially when you want centralized monitoring and analytics for all pipeline runs. DLT automatically generates event logs for each pipeline, but by default, these logs are separate. In this guide, you’ll learn how to consolidate all DLT event logs into a single metastore…
Step-by-Step Guide to Automate DLT Pipeline Deployment on Databricks

Automate Delta Live Tables (DLT) pipeline deployment on Databricks with this step-by-step guide. Learn how to use REST API, CLI, and Terraform to set up, deploy, and trigger production-ready DLT pipelines efficiently.
DLT in Databricks: Event Logs, Pipelines, and Duplicate Handling Explained

Learn how to use Delta Live Tables (DLT) in Databricks to monitor event logs, manage pipelines, and handle duplicate data effectively. This guide covers best practices for building automated DLT workflows and ensures reliable, high-quality data pipelines in production.
Top 8 Python Data Engineering Interview Questions with SQL and Pandas Solutions

Prepare for Python Data Engineer interviews with these top SQL and Pandas exercises. Learn how to filter, aggregate, rank, and analyze data using MySQL CTEs and Pandas with step-by-step solutions and examples.
Top 50 Snowflake Interview Questions and Answers (With SQL Examples)

Learn how to query JSON data in Snowflake using VARIANT columns and colon syntax (:). Step-by-step examples with PARSE_JSON, LATERAL FLATTEN, and real SQL queries.
Stop Manually Checking Databricks Jobs — Export Logs to PostgreSQL Instead

Learn how to securely fetch Databricks job logs via REST API without hardcoding tokens, convert them into a Pandas or PySpark DataFrame, and store logs into a PostgreSQL (pgAdmin) table for analysis. Includes examples with re module, DLT triggers, and secure authentication best practices.
Snowflake vs Redshift: Terminology and Concepts Simplified

Learn the key terminology differences between Snowflake and Redshift, including concepts, tables, warehouses, and data loading methods. Perfect for data engineers and analysts transitioning between the platforms.
AWS EMR Tutorial: Beginner’s Guide to Big Data Processing on the Cloud

Learn AWS EMR from scratch! Step-by-step guide for beginners to run Spark jobs, integrate with S3, and process big data efficiently in the cloud.
Top PySpark & AWS Glue Q&A for Big Data Practitioners

Learn practical PySpark and AWS Glue tips for ETL, caching, sampling, joins, and partitioning. A Q&A guide with real examples for big data workflows.