Scala Hands-on Training With Job Placement

SCALA AND SPARK Training
(Online)

Training will be provided by our experienced and certified Scala and Spark professionals in the respective fields. Training will include exposure to real time work environments and will also prepare you to attend interviews confidently. You do not require prior knowledge for any of the courses listed. We give you an excellent opportunity for enhancing your career in course of your choice. Each training module in IT consulting and training is specially designed so that by the end of the course you will be ready to face client interviews.

SCALA AND SPARK Training Curriculum

Apache Spark is a cluster computing technology and mainly designed for fast computation. Spark Based on MapReduce and used to more type of computation process which includes more queries and stream processing. Spark is an memory cluster computing that increases processing speed of Hadoop Applications.

Course Duration:

• 6 weeks course, 3 days per week,
• 20 hours Scala and Spark project work.
• Free - Demo Training available for interested students

ONLINE SCALA AND SPARK Training:

• We offer online Scala and Spark Training through powerful GOTO Meeting Conferencing.
• Pre-Requisites for Online Scala and Spark Training: Computer with Speaker Phone.

Course Outline:

SECTION 1: INTRODUCTION TO SCALA FOR APACHE SPARK

• What is Scala?
• Why Scala for Spark?
• Scala in other frameworks
• Introduction to Scala REPL
• Basic Scala operations
• Variable types in Scala
• Control Structures in Scala
• Foreach loop
• Functions, Procedures, Collections in Scala-Array
• Array Buffer
• Map, Tuples, Lists, and more.

SECTION 2: OOPS AND FUNCTIONAL PROGRAMMING IN SCALA

• Class in Scala
• Getters and Setters
• Custom Getters and Setters
• Properties with only Getters
• Auxiliary Constructor
• Primary Constructor
• Singletons
• Companion Objects
• Extending a Class
• Overriding Methods
• Traits as Interfaces
• Layered Traits
• Functional Programming
• Higher Order Functions
• Anonymous Functions and more.

SECTION3: INTRODUCTION TO BIG DATA AND APACHE SPARK

• Introduction to big data
• Challenges with big data
• Batch Vs. Real Time big data analytics
• Batch Analytics - Hadoop Ecosystem Overview
• Real-time Analytics Options
• Streaming Data - Spark
• In-memory data - Spark
• What is Spark?
• Spark Ecosystem
• Modes of Spark
• Spark installation demo
• Overview of Spark on a cluster ü Spark Standalone cluster ü Spark Web UI.

SECTION 4: SPARK COMMON OPERATIONS

• Invoking Spark Shell
• Creating the Spark Context
• Loading a file in Shell
• Performing basic Operations on files in Spark Shell
• Overview of SBT
• Building a Spark project with SBT
• Running Spark project with SBT
• Local mode
• Spark mode
• Caching overview
• Distributed Persistence

SECTION 5: PLAYING WITH RDDS

• RDDs
• Transformations in RDD
• Actions in RDD
• Loading data in RDD
• Saving data through RDD
• Key-Value Pair RDD
• MapReduce and Pair RDD Operations
• Spark and Hadoop Integration-HDFS
• Spark and Hadoop Integration-Yarn ü Handling Sequence Files and Partitioner.

SECTION 6: SPARK STREAMING AND MLLIB

• Spark Streaming Architecture
• First Spark Streaming Program
• Transformations in Spark Streaming
• Fault tolerance in Spark Streaming
• Checkpointing
• Parallelism level
• Machine learning with Spark
• Data types
• Algorithms– statistics
• Classification and regression
• Clustering
• Collaborative filtering

SECTION 7: GRAPHX, SPARKSQL AND PERFORMANCE TUNING IN SPARK

• Analyze Hive and Spark SQL architecture
• SQL Context in Spark SQL
• Working with Data Frames
• Implementing an example for Spark SQL
• Integrating hive and Spark SQL
• Support for JSON and Parquet File Formats
• Implement data visualization in Spark
• Loading of data
• Hive queries through Spark
• Testing tips in Scala
• Performance tuning tips in Spark
• Shared variables: Broadcast Variables
• Shared Variables: Accumulators.

SECTION 8: A COMPLETE PROJECT ON APACHE SPARK

• Spark Streaming
• Kafka (for messaging)
• HDFS (for storage)
• Core Spark API (for aggregation)

Highlights:

• Trained over 500+ Scala and Spark professionals
• Live project facility and Real-time examples that apply to your everyday Scala and Spark job.
• Complete Scala and Spark training materials (no need to look for other materials)
• Required material will be supplied for interview preparation
• All real time testing exercises will be discussed
• Real time projects and hands on experience
• Cost effective training and unlimited usage of resources Lab and facility
• Our instructor will work with you to develop an understanding of your course objectives and identify the specific topics that need to be emphasized for your environment.
• In addition, we can develop specialized training materials, tailored to your needs.
• Assignment will be given at the end of each session.
• Scala and Spark course completion certificate will be provided upon successful completion of training
• Assistance will be given for excellent Resume Preparation
• Assistance given for Business Analyst job placement
• We shall provide enough guidance to you until you get a project and extend our help when you are on project.
• H1B & Green Card Processing for eligible students.