COMIDOC
CouponsFreeTopics
COMIDOC
CouponsVerified CouponsFreeFree CoursesTopicsTopics
React
AdvertiseSubmit Course

About

Udemy coupons monitored continuously.

Verified offers, course alerts, precise filters, and browser detection built for learners who want coupons that still work.

TelegramTwitterFacebookRSS

Browser tools

Find coupons directly on Udemy.

The extension surfaces an available Comidoc coupon while you browse a Udemy course page.

ChromeFirefoxEdgeSafari

Useful links

Discover

  • Blog
  • Daily Freebies
  • Most Wanted Coupons
  • Coupon Statistics
  • Top Contributors
  • Udemy Sale Calendar

Services

  • Pricing
  • Advertise Here
  • Developer API
  • Submit Coupon

Comidoc

  • About
  • Contact
  • Data License
  • Privacy
  • Service status
  • Terms

© 2017–2026 Comidoc

v6.7.6

Independent coupon discovery for Udemy learners

Apache Spark with Scala - Hands On with Big Data!

Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets, on your desktop or on Hadoop with Scala!

  1. Topics
  2. IT & Software
  3. Apache Spark

Apache Spark with Scala - Hands On with Big Data!

InstructorSundog Education by Frank Kane
Duration8h 51m
Students104.3K
Rating4.5 (18.9K)
Sponsored
Price
$17.99
Coupon
None
No active coupon currently available
Access
Email alert
We will email you when a verified deal appears
Open on UdemyCurrent Udemy price
Comidoc Analysis

Spark-focused training with Scala foundations and cloud integration

Strengths

Practical Spark Application

The curriculum includes over 20 hands-on examples covering diverse areas such as movie rating analysis, social graphs via GraphX, and cloud deployment on Amazon EMR.

Editorial course preview

What the public course preview actually shows

These 3 complementary views highlight concrete, legible examples from the course presentation.

Preview 1 of 3

This visual example demonstrates a social graph structure using Marvel superheroes as nodes, illustrating how entities are linked through relationships in big data analysis.

Preview 2 of 3

The instructor introduces the course content while graphics displaying the official logos for Apache Spark and Scala appear on screen.

Preview 3 of 3

The instructor introduces advanced Apache Spark modules, specifically highlighting coverage of MLLib for machine learning and GraphX for graph processing.

Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.

Scala Integration

A dedicated module provides a Scala crash course to prepare learners for distributed programming using the language.

Limitations

Environment and Setup Friction

Learner signals suggest difficulties with project structure alignment and potential mismatches between instruction and current software versions. Note that these reports predated the displayed update date, so the update label does not prove a correction.

Variable Instructional Depth

Some instruction may prioritize example execution over explaining the underlying syntax or logic, and certain complex topics like GraphX may lack clarity. Note that these reports predated the displayed update date, so the update label does not prove a correction.

Best suited to

  • Software engineers expanding into big data
  • Learners seeking Scala-based Spark instruction
  • Users interested in AWS EMR integration

Less suited to

  • Those requiring deep syntax and logic explanations
  • Learners needing highly stable environment setup guides

Comidoc Score

5.6/10

Worth considering
Defined audience

Comidoc verdict

The learning path begins with Scala fundamentals before moving into core Spark components like RDDs, DataFrames, and Structured Streaming. It extends into cloud-based execution using Amazon EMR and specialized libraries such as GraphX.

Technical strengths lie in the breadth of practical examples that allow learners to transition from local environments to distributed clusters. However, these are tempered by signals regarding setup instability and a tendency toward superficial explanations of code syntax. One signal suggests difficulty aligning project structures with video instruction, while another indicates potential confusion within specific modules like GraphX.

This trade-off makes sense for software engineers who prioritize functional Spark skills and cloud deployment over deep theoretical or syntactic rigor.

Score breakdown

Curriculum depth
6.5

The curriculum covers a wide range of topics including Streaming and GraphX, though signals suggest some areas may lack depth. Note that these reports predated the displayed update date, so the update label does not prove a correction.

Applied learning
7.3

Extensive hands-on examples are provided, though setup issues can hinder the initial practical experience. Note that these reports predated the displayed update date, so the update label does not prove a correction.

Clarity & experience
3.5

Instructional signals indicate a lack of depth in syntax explanations and potential confusion in specific modules. Note that these reports predated the displayed update date, so the update label does not prove a correction.

Currency & reliability
3.5

Warnings regarding Java versions and reports of misaligned project structures suggest potential aging issues. Note that these reports predated the displayed update date, so the update label does not prove a correction.

Audience fit
6.5

The curriculum aligns well with the goal of teaching Spark and Scala to engineers.

More Apache Spark courses

Azure Databricks & Spark for Data Engineers:Hands-on ProjectRamesh Retnasamy . 200,000+ Learners4.6 (27.9K)31h 46m
Spark and Python for Big Data with PySparkJose Portilla4.5 (26.5K)10h 35m
Data Engineering for Beginners: Learn SQL, Python & SparkDurga Viswanatha Raju Gadiraju4.4 (8,907)55h 57m
Taming Big Data with Apache Spark 4 and Python - Hands On!Sundog Education by Frank Kane4.5 (18K)8h 49m
PySpark - Apache Spark Programming for Beginners (2026)Prashant Kumar Pandey4.6 (17.5K)28h 29m
Apache Spark Project World Development Indicators AnalyticsBigdata Engineer4.1 (140)5h 31m
Big Data Hadoop and Spark with ScalaHarish Masand4.5 (1,038)44h 45m
Databricks Certified Data Engineer Associate - Ultimate PrepRamesh Retnasamy . 200,000+ Learners4.7 (4,633)21h 53m

More Related Topics

  • Scala Programming52
  • Big Data Analytics46
  • Hadoop Big Data Ecosystem68
  • Databricks Platform & Noteboo…201
  • PySpark Mastery86
  • Data Engineering412
  • Delta Lake47
  • Big Data Processing with Spark44
  • Spark SQL22
  • Spark Development8