Question 1

What is columnar storage and why does it matter for analytics?

Accepted Answer

Columnar storage organizes data by columns rather than rows. For analytical queries that typically scan a few columns across millions of rows, columnar formats like Parquet and ORC dramatically reduce the amount of data read from disk — enabling faster queries, better compression, and lower compute costs. This course teaches you exactly how and why.

Question 2

What tools will I use in this course?

Accepted Answer

The primary hands-on tool is DuckDB — a fast, in-process analytical query engine that requires minimal setup. You will also work with Parquet files, CSV data, and SQL query plan tools (EXPLAIN). No complex installation or cloud accounts are needed.

Question 3

Is this a follow-along course?

Accepted Answer

Yes. This course is built around a follow-along, demonstration-driven learning model. Each concept is taught through step-by-step video demonstrations using DuckDB and Parquet that you can replicate on your own machine. DuckDB runs locally with minimal setup, so you can pause, rewind, and practice alongside each demo at your own pace.

Question 4

Do I need prior SQL experience?

Accepted Answer

Basic SQL familiarity (SELECT, FROM, WHERE) is helpful but not strictly required. Module 1 begins with SQL fundamentals — what SQL is, CRUD operations, and how READ operations work internally — before progressing to advanced query optimization. The course is accessible for beginners while still valuable for experienced SQL users.

Question 5

What is DuckDB and why is it used in this course?

Accepted Answer

DuckDB is a modern, open-source analytical query engine designed for fast, in-process SQL analytics. It runs locally without a server, reads Parquet files natively, and provides query plan visibility through EXPLAIN — making it ideal for learning storage and optimization concepts without infrastructure overhead.

Question 6

What is a query execution plan and will I learn to read one?

Accepted Answer

A query execution plan shows the step-by-step strategy a query engine uses to retrieve your data — including scan operations, filter application, join methods, and aggregations. In Module 3, you will use EXPLAIN to view execution plans, interpret them conceptually, and diagnose where queries slow down.

Question 7

What is the difference between Parquet and ORC?

Accepted Answer

Both Parquet and ORC are columnar file formats designed for analytics. Parquet is more widely adopted in cloud and open-source ecosystems (Spark, Hive, DuckDB), while ORC is optimized for Hive-based environments. This course covers both formats and helps you understand when to use each.

Question 8

What query optimization techniques will I learn?

Accepted Answer

You will learn column pruning (reading only needed columns), filter pushdown (applying filters early), partitioning (organizing data for faster scans), data skipping (avoiding irrelevant data blocks), and aggregation optimization. Module 4 includes before-vs-after comparisons so you can measure the real performance impact of each technique.

Question 9

Who is this course designed for?

Accepted Answer

Data Analysts who want to understand query performance, junior Data Engineers building storage foundations, BI Professionals moving into platform or performance roles, and SQL Developers who want to go beyond syntax to understand execution internals. If slow queries frustrate you, this course is for you.

Question 10

What career roles does this course prepare me for?

Accepted Answer

Storage and query optimization are foundational skills for Data Engineering, Analytics Engineering, BI Development, Database Engineering, and Performance Engineering roles.

Question 11

What prerequisites do I need?

Accepted Answer

Basic computer literacy is sufficient. SQL is taught from fundamentals in Module 1. No prior experience with DuckDB, Parquet, or query optimization is required. Familiarity with basic SELECT statements will help you move faster but is not mandatory.

Question 12

Will I receive a certificate upon completion?

Accepted Answer

Yes. Upon completing all graded assessments and the final course assessment, you will earn a Coursera Course Certificate from Edureka that you can add to your LinkedIn profile, resume, or CV.

Question 13

When will I have access to the lectures and assignments?

Accepted Answer

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

Question 14

What will I get if I purchase the Certificate?

Accepted Answer

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Question 15

Is financial aid available?

Accepted Answer

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.