Apache Spark runs on Hadoop, it is designed for fast computation. It is based on MapReduce and extends and improved the MapReduce model to efficiently use for complex processing
We are providing excellent Apache Spark and Scala training in Chennai by working professionals. This course syllabus is designed to learn Apache Spark from beginner level to in-depth level
Using this course you learn fundamental of Spark and Scala programming language, install and configuration on Spark environment, SparkSQL, Stream Processing, Machine Learning with MLlib and Graph processing using Graphx
Audience
This course is designed for Analytics professional, Data scientists, BI and report professional and Graduates who wants to learn and do their project on Big Data Analytics area
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Apache Spark and Scala Training Syllabus
Introduction to Spark
- Understanding Apache Spark
- Limitation of Hadoop
- Stream processing on Spark
- Spark vs Hadoop
- Installing Spark using binaries
- Python installation
- Development environment tool install
Programming model with Spark
- Understanding programming with Spark
- Overview of Spark RDD
- MapReduce and Join programming with Spark
- Creating RDDs
- Operation and methods on RDD
- Spark library stack
Introduction to Scala
- Understanding to Scala
- Feature and Benefit of Scala
- Classes and Objects
- Basic Types and Operations
- Packages and Imports
- Working with Lists
- Stateful Objects
Working with Spark SQL
- Why Spark SQL?
- Concept on SparkSQL
- DataFrame API
- Aggregation in Spark SQL
- Multi-Datasource joining
- Data Catalogs
Spark Data with Python
- Introduction to Python
- Setting up dataset
- Use cases on Data analysis
- Bar chart
- Pie chart
- Scatter plot
Spark Data with Scala
- User cases with Scala
- Write program with Scala
Working with Spark Stream Processing
- Overview of Spark Stream Processing
- Micro batch data processing
- Windowed data processing
- Spark stream processing
- Pie chart
- Scatter plot
Spark Machine Learning
- Overview of Machine Learning
- Concept on Spark Machine Learning
- Wine classification and prediction
- Spam filtering
- ML algorithm
- Model persistence
Spark Machine Learning using MLlib
- Introduction to MLlib
- Create Vector
- Create matrices
- MLlib with regression
- MLlib Classification
Working Spark Graph Processing
- Understanding graphs
- Concept on Spark GraphX programming
- Spark GraphX library
- Understanding GraphFrames
- Graph optimizations
Optimizations and Performance Tuning
- Overview of Optimization
- Memory Optimizing
- Garbage Collection
- Optimizing level of parallelism
- Serialization to improve performance
Trainer Profile
- More than 10+ Years of experiences on application development and Big Data applications
- Trainers have experienced on multiple real-time projects in their Industries
- Strong Practical and Industries Knowledge
- Are certified Professionals with High Grade
- Have experiences on Service Big Data applications using Hadoop and Spark framework
Placement Assistance after training in Chennai
- Dedicated team to find and arrange interviews for completed students
- Student would be prepared for interview while learning the courses
- Resume preparation tips and samples
- Tie up with Authorized Training Center which helps guidance for certification
- Are Well connected with Hiring HRs in multinational companies
Queries You may have
It required basic understanding of Hadoop and any programming language
The instructors are practitioners from the Industry with minimum 7 yrs of relevant IT experience. They are subject matter experts and working professionals.
We will arrange free demo for all our trainee before enroll any courses. Trainee have all rights to choose suitable trainers and course content
We provides this course in online as well for who can not attend this course in class room they can take from online
Reviews
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