Apache Spark Training

Best Apache Spark Training Star Rating 150 reviews

What is Apache Spark ?

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.


Section 1: Introduction to Scala for Apache Spark

Learning Objectives – In this module, you will understand the basics of Scala that are required for programming Spark applications. You can learn about the basic constructs of Scala such as variable types, control structures, collections, and more.

  • 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
  • ArrayBuffer
  • Map, Tuples, Lists, and more.

Section 2: OOPS and Functional Programming in Scala

Learning Objectives – In this module, you will learn about object oriented programming and functional programming techniques 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

Learning Objectives – In this module, you will understand what is big data, challenges associated with it and the different frameworks available. The module also includes a first-hand introduction to 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  Spark Standalone cluster  Spark Web UI.

Section 4: Spark Common Operations

Learning Objectives – In this module, you will learn how to invoke Spark Shell and use it for various 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

Learning Objectives – In this module, you will learn one of the fundamental building blocks of Spark – RDDs and related manipulations for implementing business logics.

  • 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  Handling Sequence Files and Partitioner.

Section 6: Spark Streaming and MLlib

Learning Objectives – In this module, you will learn about the major APIs that Spark offers. You will get an opportunity to work on Spark streaming which makes it easy to build scalable fault-tolerant streaming applications, MLlib which is Spark’s machine learning library.

  • 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

Learning Objectives – In this module, you will learn about Spark SQL that is used to process structured data with SQL queries, graph analysis with Spark, GraphX for graphs and graph-parallel computation. You will also0 get a chance to learn the various ways to optimize performance in Spark.

  • Analyze Hive and Spark SQL architecture
  • SQLContext in Spark SQL
  • Working with DataFrames
  • 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

Learning Objectives – In this module, you will get an opportunity to work on a live Spark project where you can implement the learnings from previous modules hands-on, and solve a real-time use case.Problem Statement: Design a system to replay the real time replay of transactions in HDFS using Spark.
Technologies used:

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

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Apache Spark Training in Chennai – Reviews

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Highly Recommended

Extremely talented, hard working trainer gave us many hands on tutorials. He has lots of experience in Spark, Hadoop, kafka, apache, AWS etc which helps a lot in understanding BigData concepts with real time examples and case studies. He is ready to help anytime and is a great mentor. I rank 5 out of 5 with no doubts.

Hari Haran

Best Spark training in Velachery

I did completed my Spark training in Velachery branch,  absolute worth the money. As I’m a working professional I had timing constrains, but the sessions here are flexible and the trainers too are humble and down to earth. I will definitely suggest Credo as the best software training institute in Chennai.

Renuga Devi

Good Learning Experience

I’m Vinoth working in CSS Crop joined here for Spark training. I will definitely rank 5 out 5 for the training. Experienced trainers, practical sessions, very interactive, can be reachable at any time. A pure professional customer service. Good job Cerdo Systemz for providing the best spark training in velachery Chennai

Vinoth Kumar:

Best Spark Training in chennai

Hi guys, I am Dilip completed my Spark training  in Feb batch, to be frank before joining here I searched many institutes to do my training in which I found these guys in Credo doing a professional job.  They arranged free demo session with the trainer that gave me much confidence in taking the session here. Overall complete professional Spark training in Chennai.


Spark Training in Chennai Velachery

Credo Systemz is the best institute for doing Spark training in Chennai.I did my Apache Spark Training in Credo Systemz. My trainer handled each and every topic with real time examples. In best Spark institute timings are adjustable based on my needs which i found very convenient.Thank you Credo Systemz for gave best Spark training..


Apache Spark Training with Placement Assistance

Hi I'm Avanthika and completed my Apache Spark Training in chennai at credosystemz. The whole Apache Spark course was more satisfied to me, The trainer was more experienced and made the session very interactive. In this institute Course fees was very applicable with all. Spark training course content are very clear and updated topics so useful to learn more information about apache spark.. Thank You CREDO SYSTEMZ

Data Engineer / TCS

Apache Spark Training Institute in Chennai

In Credo Systemz i Had a good experience studying apache spark training here. My Trainer was very good. He taught us from the basic to expert level and he helped a lot for clear interviews. Also they provided useful Spark tutorials every week to learn apache spark easily.

Spark Developer / HCL Technologies

Best Apache Spark Training in Chennai

Hai I am Sundar and recently completed my Apache Spark training in chennai at credo systemz. Apache Spark Training classes are only interview point of view and Practical oriented so easy tounderstand all topics. Every end of the Spark training class my trainer give more examples which useful to understand the spark training concepts and learn more things about Apache Spark. Thank you credo systemz

Hadoop Tester / Wipro Technologies

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