Distributed Computing with Spark SQL
Learn more advanced concepts of SQL and distributed computing with the Distributed Computing with Spark SQL course by Coursera.
Intermediate
Online
4 Weeks
3,257 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Distributed Computing with Spark SQL certification course is a 14 hours course. This course is available on the educational course platform Coursera, and the syllabus is curated by the University of California. Also, this course is part of the main programme, Learn SQL Basics for Data Science Specialization.
This Distributed Computing with Spark SQL training course is made for candidates with some ideas, and information about SQL. This Coursera programme will be great for students who want to step ahead in their data journey. All 4 modules developed for this course are intertwined among themselves. In the end, when all 4 modules are learnt, the candidates will have learned many ways related to Spark SQL, and ways to construct reliable data points.
The Highlights
- Online course
- Shareable certificate
- 14 hours for completion
- English course title available
Programme Offerings
- Flexible Deadlines
- Short Programme
- Different Subtitles
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
The Distributed Computing with Spark SQL certification fee is based on the monthly plans mainly for 1 month, 3 months, or 6 months. All these monthly plans have the number of hours to be learned mentioned and also a certification at the course end to be shared with the candidates.
Distributed Computing with Spark SQL Fee Details
Description | Amount in INR |
1 Month | Rs. 3,257/month |
Eligibility Criteria
Certification Qualifying Details
The Distributed Computing with Spark SQL certification by Coursera is offered when the candidates are done with every course specialization.
What you will learn
Here are some things that will be learnt from the Distributed Computing with Spark SQL certification syllabus:
- Using a collaborative workspace that can help in writing Spark SQL that can be easily executed.
- Learning to inspect the Spark Up that shall be used for analyzing the query performance that helps in ultimately identifying bottlenecks.
- Curating end-to-end pipelines that will help read the data by transforming it and ultimately saving the result.
- Help in building a medallion either gold, bronze, or silver to ensure performance, scalability, and reliability.
Who it is for
Distributed Computing with Spark SQL shall become ideal for people like data scientists, and computer programmers.
Admission Details
To get admission to the Distributed Computing with Spark SQL classes, the students can follow these steps:
Step 1: Follow the official URL: https://www.coursera.org/learn/spark-sql#.
Step 2: During step 2, get to the ‘Enroll Now’ button and then click on it
Step 3: After the account creation is done, then log in must be done which will then lead the students to choose either the free mode or the paid mode.
Step 4: The above decision will be the deciding factor for admission to this course.
The Syllabus
Videos
- Course Introduction
- Why Distributed Computing?
- Spark DataFrames
- The Databricks Environment
- SQL in Notebooks
- Import Data
Readings
- A Note From UC Davis
- Readings and Resources
- Assignment #1 - Queries in Spark SQL
Practice Exercises
- Assignment #1 Quiz - Queries in Spark SQL
- Module 1 Quiz
Videos
- Module Introduction
- Spark Terminology
- Caching
- Shuffle Partitions
- Spark UI
- Adaptive Query Execution (AQE)
Reading
- Readings
- Assignment #2 - Spark Internals
Practice Exercises
- Assignment #2 Quiz - Spark Internals
- Module 2 Quiz
Videos
- Module Introduction
- Spark as a Connector
- Accessing Data
- File Formats
- JSON, Schemas and Types
- Writing Data
- Tables and Views
Readings
- Readings
- Assignment #3 - Engineering Data Pipelines
Practice Exercises
- Assignment #3 Quiz - Engineering Data Pipelines30m
- Module 3 Quiz
Videos
- Module Introduction
- Data Lakes vs. Data Warehouses
- What is a Lakehouse?
- Delta Lake
- Delta Lake (Demo)
- Delta Advanced Features (Demo)
- Continuing with Spark and Data Science
- Course Summary
Readings
- Readings
- Assignment #4 - Lakehouse
Practice Exercises
- Assignment #4 Quiz - Lakehouse
- Module 4 Quiz
Instructors
UC Davis Frequently Asked Questions (FAQ's)
The name of the main course is ‘Learn SQL Basics for Data Science Specialization'.
Yes, the deadlines can be adjusted on the Coursera platform.
The level is intermediate.
There are 2 tutors namely Brooke Wenig, and Conor Murphy.
UC Davis is a partnering institution.