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Big Data Analysis with Scala and Spark (Scala 2 version)
Intermediate
Online
3 Weeks
Free Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
The Syllabus
Videos
- Introduction, Logistics, What You'll Learn
- Data-Parallel to Distributed Data-Parallel
- Latency
- RDDs, Spark's Distributed Collection
- RDDs: Transformation and Actions
- Evaluation in Spark: Unlike Scala Collections!
- Cluster Topology Matters!
Readings
- Tools Setup (Please read)
- SBT tutorial and Submission of Assignments (Please read)
- Cheat Sheet
- Scala Tutorial
- Scala Style Guide
- Working on Assignments
Videos
- Introduction, Logistics, What You'll Learn
- Data-Parallel to Distributed Data-Parallel
- Latency
- RDDs, Spark's Distributed Collection
- RDDs: Transformation and Actions
- Evaluation in Spark: Unlike Scala Collections!
- Cluster Topology Matters!
Readings
- Tools Setup (Please read)
- SBT tutorial and Submission of Assignments (Please read)
- Cheat Sheet
- Scala Tutorial
- Scala Style Guide
- Working on Assignments
Videos
- Reduction Operations
- Pair RDDs
- Transformations and Actions on Pair RDDs
- Joins
Videos
- Reduction Operations
- Pair RDDs
- Transformations and Actions on Pair RDDs
- Joins
Videos
- Shuffling: What it is and why it's important
- Partitioning
- Optimizing with Partitioners
- Wide vs Narrow Dependencies
Videos
- Shuffling: What it is and why it's important
- Partitioning
- Optimizing with Partitioners
- Wide vs Narrow Dependencies
Videos
- Structured vs Unstructured Data
- Spark SQL
- DataFrames (1)
- DataFrames (2)
- Datasets
Videos
- Structured vs Unstructured Data
- Spark SQL
- DataFrames (1)
- DataFrames (2)
- Datasets