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Master Web Development, Data Engineering, and Modern Analytics. Learn in-demand skills through practical courses and real-world blogs designed for developers and data professionals.

Latest Courses

PySpark Interview Questions for Data Engineers — From Basics to Production
•PySpark

PySpark Interview Questions for Data Engineers — From Basics to Production

Master PySpark the way it is tested in real data engineering interviews. This course covers everything from Spark architecture and lazy evaluation to joins, window functions, Delta Lake, MERGE operations, SCD patterns, streaming, and performance tuning. Every question is written the way a real interviewer asks it, with a clear thinking framework before any code, production-grade PySpark solutions, and concise answers to the follow-up questions that separate good candidates from great ones. Built for engineers with hands-on Spark experience who want to go deeper and walk into interviews fully prepared

32 sections
SQL Interview Questions for Data Engineers - Real Scenarios, Real Answers
•SQL

SQL Interview Questions for Data Engineers - Real Scenarios, Real Answers

Master SQL the way interviewers actually ask it. This course covers the most commonly tested SQL concepts for data engineer and data analyst roles, from window functions and CTEs to joins, aggregations, query optimisation, and real-world data reconciliation scenarios. Every question is written the way a real interviewer frames it, with a structured thinking approach before any code, clean solutions across SQL Server, PostgreSQL, and MySQL, and sharp answers to every follow-up question. No textbook theory. No syntax dumps. Just the patterns that actually come up in interviews at product companies, startups, and data-first teams.

31 sections
SQL Interview Questions & Practice
•SQL

SQL Interview Questions & Practice

SQL Interview Questions & Practice is a hands-on, bite-sized series designed to help you crack real SQL interview questions with clarity and confidence.

14 sections
Opportunities

Latest Opportunities

Discover upcoming events, workshops, webinars, hackathons, certifications and other opportunities.

View all opportunities
Live NowLearning Program

Databricks Advanced Learning Festival: September 16 - October 14 2026

Databricks · Data Engineering · Data Analytics · AI / ML · Cloud

💻 Online

The Databricks Advanced Learning Festival is a four-week virtual learning event focused on upskilling across data engineering, analytics, machine learning, generative AI, Apache Spark, and data warehousing. Participants can complete at least one learning pathway during the event window to become eligible for a 50% off Databricks Certification voucher and a 20% discount on a yearly Databricks Academy Labs subscription.

Starts: 16 Sept 2026

databricksdata engineeringdata analyticsapache spark
EndedConference

Data Leaders Forum 2026 - Bengaluru: Agentic Enterprise Blueprint

Google Cloud · Data Engineering · Data Analytics · AI / ML · Cloud

📍 In-person

Hotel Conrad, Bengaluru

Data Leaders Forum 2026 in Bengaluru is a Google Cloud forum focused on building trusted data foundations for the Agentic Enterprise. The event explores unified semantic layers, real-time governance, data accessibility, and how modern data foundations can support autonomous and real-time business action.

Starts: 10 Sept 2026, 5:00 pm

google clouddata engineeringdata analyticsagentic ai
EndedConference

Databricks Data + AI Summit 2026

Databricks · Data Engineering · Data Analytics · AI / ML · Cloud

💻 Online

Databricks Data + AI Summit 2026 is a global event for data, analytics, AI, and machine learning professionals, featuring technical sessions, product announcements, training, and opportunities to learn from data and AI practitioners.

Starts: 15 Jun 2026

databricksdata engineeringdata analyticsdata + ai

Latest Blogs

How to Start a Career in Data Engineering, a Complete Roadmap
•Data Engineering

How to Start a Career in Data Engineering, a Complete Roadmap

A single place that answers the question almost every beginner and every career switcher asks at some point, where do I even start, what do I actually need to learn, and how do I get from zero to job ready.

Git for Data Engineers, Complete Roadmap from Basics to Advanced
•Data Engineering

Git for Data Engineers, Complete Roadmap from Basics to Advanced

A proper syllabus for Git specifically from a data engineering angle, covering exactly what to learn, in what order, and where each command actually shows up in real pipeline and notebook work, not just generic version control theory.

Azure for Data Engineers, Complete Roadmap from Basics to Advanced
•Data Engineering

Azure for Data Engineers, Complete Roadmap from Basics to Advanced

A proper syllabus for the Azure data engineering stack, covering exactly which services to learn, in what order, and where each one actually shows up in a real production pipeline rather than as an isolated tool name.