Big Data Training in Chennai and Hadoop Spark with Scala Big Data Course Online

Enroll in our comprehensive Big Data training program in Chennai, designed to equip you with in-depth knowledge of Hadoop, Spark, and Scala. Our online courses offer a dynamic learning experience, providing hands-on expertise to navigate the complexities of Big Data analytics. Elevate your skills and career prospects with our industry-relevant curriculum and expert-led training sessions.

Big Data Training in Chennai and Hadoop Spark with Scala Big Data Course Online - Overview

Learn from experienced data professionals by joining iconGen’s Big Data Training in Chennai and Hadoop Scala Spark Big Data Course Online Training. You can learn the complete knowledge of areas such as Spark Streaming, Spark Framework, Flume Scala, Amazon EC2, RDD, Hive, Oozie, Sqoop, Machine Learning using Spark, and MapReduce from this course. Just enroll in Big Data online training with us and become a Big Data Hadoop Developer, CCA Spark developer, or Spark developer.

What is Big Data Hadoop Scala Spark?

Big Data is a new term highly used in every segment of society. Manufacturing, research, agriculture, Software companies, and others have been using Big Data recently. Big Data is a great field that offers the best ways to inspect, systematically bring out information from, or otherwise manage datasets that are too big or small to handle by conventional data processing applications.

Hadoop is open-source software to store and process big data. Generally, Hadoop saves big data in a fault-tolerant and distributed manner. Then, Hadoop tools help to perform parallel data processing.

Where Can Young Aspirants Undergo Online Big Data Training in Chennai?

Chennai is one of the fantastic places to learn online big data Hadoop courses; because, the students here are actually knowledgeable and competitive in nature when it comes to learning. Therefore, it will encourage you to study well. The Big data industry had significant growth in recent years, which makes it the increase of the best Hadoop training institutes in Chennai.

iconGen turned out to be the great big data Hadoop training in Chennai which is designed to offer you in-depth knowledge of the Big Data framework using Hadoop, Scala, and Spark, which is inclusive of MapReduce, YARN, and HDFS. With this course, you will discover how to use Impala, Hive, and Pig to process and analyze huge datasets which are stored in the HDFS and use Flume and Sqoop for data ingestion with our big data Hadoop training.

You will be proficient in real-time data processing by using Spark, which is inclusive of Spark RDD optimization techniques, implementing Spark applications, and functional programming in Spark. Our experienced trainers will help you to learn all the several interactive algorithms in Spark. You can make use of Spark SQL for developing, modifying, and querying data forms.

As part of the Hadoop training in Chennai you will need to perform Live industry-based projects using CloudLab in various telecommunication, insurance, banking, e-commerce, and social media fields.

Why Choose iconGen for Big Data Hadoop Scala Spark Course?

iconGen offers the best online Big Data courses for all types of learners in Chennai. Big Data Hadoop Scala Spark is an all-in-one online course that is designed to provide a 360- degree overview of Hadoop architecture with Live projects. Moreover, it also covers the development of applications in Scala and Spark programming and the real-time processing of unbound data streams. Learners can explore functional programming, parallel processing, real-time data processing, Spark SQL, spark RDD optimization techniques, and Spark applications. Most of the freshers and experienced professionals choose iconGen because we offer in-depth knowledge of the Hadoop framework and Big Data concept proficiently with our well-trained trainers.

  • We provide the Big Data Hadoop Scala Spark course certification for every learner.
  • We conduct Live interactive training sessions with world-class trainers. Moreover, you can clear your doubts and queries instantly with us.
  • All of our trainers offer hands-on project-based learning such as files, course demo datasets, industry-relevant projects, assignments, and quizzes.
  • You will receive free access to future updates and get unlimited access to the course content.
  • iconGen offers lifetime access to course materials, videos, and syllabus updates without any additional charges. You will also get free cloud access for performing the training sessions for a lifetime. You can resolve all of your queries with our help desk support at any time.

What Skills are Included in the Big Data Courses Online?

  • Spark Installation Process
  • SparkSQL
  • Scala Programming Language
  • Spark ML Programming
  • Resilient Distributed Datasets RDD
  • Spark Streaming Features
  • GraphX Programming


The Importance of Learning Big Data Online Course

As the technologies developed, almost every organization started using Big Data to identify new opportunities and features. Big Data Hadoop enhances business efficiency and cost reduction and gets good customer satisfaction for great understanding. Basically, Big Data courses are designed for Software developers, System Engineers, Data Storage Managers, Testing Professionals, BI professionals, Project Managers, Architects, and others.

In an era of emerging technologies and tough competition, the best way to reach higher levels in your career. Then, it is better to learn big data Hadoop training practically. Most young aspirants get confused about which is the best institute to learn from because there are various training institutes that offer classroom training, virtual training, live training, and online training.

IconGen is the best training institute for Big Data Certification which provides instructor online training, classroom training, books, and online recorded training videos. All these options make the learners improve their knowledge and strengthen their skills in Big Data Hadoop.

Career Opportunities and Placement Support

Stepping into the Hadoop career does not require any skills. Learners should show dedication and work hard. Freshers, Beginners, and Experienced individuals from IT companies and non-IT companies can also make their career in Hadoop. There are various struggles when the job searching stage and getting the job offer. Our big data certification course will help you to place in the below career easily.

  • Hadoop Administrator
  • Apache Kafka
  • Apache Scala and Spark
  • Spark Developer
  • Big Data Hadoop Developer
  • Hadoop Developer
  • Data Scientist
  • Data Engineer
  • Big Data Architect
  • Big Data Analyst
  • Hadoop Tester
  • Data Analyst
  • Hadoop Architect



FAQ

1. How long will It take to learn Big Data Hadoop Training?

Suppose you may join the Big data course in the regular classes; then, it will take around 45 days. If you choose weekend classes, then it will take around three months to four months.

2. What is the procedure to join the course in IconGen?

The admission procedure is very simple. Individuals who want to learn Big Data Hadoop can simply fill out the inquiry form on the official website. Otherwise, you can make a phone call to 9361217989.

3. How can I get placed in the leading company after course completion?

Based on industry standards, you will surely become a big data expert. After the Big data course completion, you need to attend the interviews boldly. We offer career-oriented training, which includes technical reviews and mock interviews.

4. Is it possible to join the weekend classes?

Yes. Absolutely, you can also join in the weekend training classes. Usually, most working individuals prefer weekend classes. Additionally, we have both online training and classroom training.

5. Can I know the course fee structure, whether it is expensive or minimal?

Of course, we will charge the most reasonable and affordable fee for all of our courses. Moreover, we also give two to three installment payment options for all our learners. In case you have any doubts, then you can attend our free demo classes so that you can be able to understand us before paying any fees.

6. How long can I access the recorded training videos?

You will get lifetime access to the training recorded sessions, which include POCs, Hadoop study material, and Hadoop projects.



We are offering following courses :

For complete syllabus : Click Course Curriculum / Fill Enquiry Form (or) Call us @ 9361217989

  • Pre-requisite
  • What is Big Data ?
  • 5Vs
  • Why Big data ?
  • What is the necessity of Hadoop ?
  • Evolution of Hadoop
  • Hadoop Distributions
  • Hadoop Eco System & Cluster members
  • NameNode, SecondaryNode, DataNode
  • Configuration files & settings
  • Hadoop High Availability
  • Additional Features in Hadoop Ver#3
  • HDFS Shell commands
  • HDFS use cases
  • YARN, Resource Manager, Node Manager
  • MapReduce Custom Input Format
  • Byte-Offset,InputSplit,Writables
  • Map Phase Java class & methods
  • Reduce Phase Java class & methods
  • Data Flow (Map – Shuffle – Reduce)
  • MapReduce – Unstructured data, Structured data
  • Partitioner class & Combiner class
  • DistCache, JobSubmitter Flow
  • Introduction & Architecture
  • Hive Server2, Beeline Client
  • Metastore - Remote,Local & Embedded
  • Table properties
  • Managed Table and External Table
  • Handling delimeters, Nulls
  • Aggregate functions
  • OrderBy,DistributeBy,ClusterBy
  • Join , MapJoin,Shuffle Join, SMB join
  • Dynamic Partitioning
  • Bucketing
  • Rollup, Cube, Ranking, Windowing Analytics
  • Loading JSON data ,XML data ,Parquet data,ORC data
  • Views, Indexes,Explain
  • Command line Script execution
  • Collection Data types
  • UDF - User Defined Functions
  • Performance Tuning
  • Introduction & Architecture
  • Loading unstructured data
  • Loading Structured data
  • Dump, Store
  • Join, Union, Distinct
  • CoGroup,Split
  • Explain,Illustrate
  • Spl Data types Tuptle,Bag & Map
  • Executing command line scripts
  • Diff between PIG and Hive
  • Loading data from RDBMS to HDFS
  • Loading data from RDBMS to Hive
  • Full load, Incremental Append
  • Joining Multiple tables
  • Performance Tuning
  • Direct,Split-by, numMapper
  • Validation,Options-file
  • Convert to Parquet,ORC file format
  • Snappy Compression Format
  • Comparison between RDBMS & Columnar DB
  • CAP Theorem
  • What is NoSQL ?
  • HBase Architecture
  • Role of Zookeeper , Region Server,HMaster
  • MapReduce Integration
  • CRUD operations on HBase Tables
  • Multiple Column Families
  • Alter Version
  • Value Filer, Row Filter, Page Filter
  • Compaction, Bloom Filter
  • Comparison of Spark & Hadoop
  • Spark Architecture
  • DriverNode,WorkerNode
  • Spark Session,Spark Context
  • DAG,TaskScheduler,Executor
  • Spark Core Components
  • Exploring Spark Shell
  • Creating Spark Context
  • Operations on Resilient Distributed Dataset – RDD
  • Transformations
  • Narrow & Wide Transformation
  • Actions
  • Map,FlatMap,Filter
  • Arrays,List
  • Loading & Saving Data in a File
  • Creating SQL Context
  • Creating DataFrame
  • Loading Data from CSV,JSON Files
  • Working with DataFrame Aggregate functions
  • Working with DataSets
  • Working with SQL Queries
  • Loading Data from RDBMS
  • Loading Parquet & ORC files
  • Connecting to Hive
  • Configuration Builder
  • Difference between Hive and Spark processing
  • Overview of Scala
  • Scala vs Java Comparison
  • Data types
  • Data Structure
  • Arrays
  • Literals
  • Logical Operators
  • Mutable & Immutable objects
  • Type interface
  • Scala Object
  • Scala Class
  • Oops vs Functions
  • Anonymous
  • Recursive
  • Call-by-name
  • Currying
  • Conditional statement
  • List
  • Map
  • Sets
  • Options
  • Tuple
  • Mutallble Collection
  • Immutable Collections
  • Iterating
  • Filtering and Counting
  • Group by
  • Flat Map
  • Word count
  • File manipulationg
  • Architecture of Spark Streaming
  • File Read & Write Streaming
  • Twitter Data Streaming
  • Overview of Kafka Streaming
  • Topics
  • Producer
  • Consumer
  • File Streaming
  • Twitter Streaming
  • Maven Build Tool Implementation/li>
  • Build Libraries
  • Create JAR Files
  • Spark Submit Command-line
  • Overview of Machine Learning Algorithms
  • Linear Regression
  • Logistic Regression
  • Overview of Spark Graphx
  • Vertices
  • Edges
  • Triplets
  • Page Rank
  • Pregel
  • Web UI monitoring
  • Master Logs
  • Worker Logs
  • Driver Logs
  • Memory Tuning
  • On-Off-Heap Memory
  • Kryo Serialization
  • Broadcast Variable
  • Accumulator Variable
  • Data Locality
  • DAG Scheduler
  • Check Pointing
  • Speculative Execution
  • Master Driver Node capacity
  • Worker Node Capacityry
  • Executor Capacity
  • Executor Core capacity
  • Project Scenario
  • Trouble Shooting - General
  • Out of memory Error handling
  • Best Practices

Course Info

  • Course: Big Data Hadoop Spark Training in Chennai , India
  • Timings:120 mts/daily
  • Duration:120 Hours
OCT 08th SAT & SUN (6 WEEKS)
Weekend Batch
SOLD OUT
Timings - 08.30 PM to 11.30 PM (IST)
NOV 12th SAT & SUN (6 WEEKS)
Weekend Batch
Timings - 07.70 AM to 11.00 PM (IST)
NOV 14th MON & FRI (18 DAYS) Filling Fast
Timings - 08.30 PM to 11.30 PM (IST)

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