Big Data Hadoop Training in Chennai– Why Big Data? Why with Infycle?

Best Seller
(2345) Rating

Hack the blooming industry's leading roles! Everyone started saying Big Data so often as we could see there is a lot of buzz happening around in Big Data Training in Chennai recent times! Join with us for the expert level training of Big data today!

Start HereStart Here

Get started today

Everything you need to grow your business. Order our services today!




5000+ Students Trained & Placed On MNC's
100% Practical Sessions with Real-time projects
100+ Top trending courses precisely formulated.
80+ Certified and Industrial expert trainers

Facts About Big Data & Infycle’s expertise of Big data training in Chennai.

Big data training in chennai will be a totally blooming industry for the following 10 years in India.

Statistics uncover that 16% of the organizations have the required analytics ability set up to deal with big data ventures. Experts are scrambling to get prepared and guaranteed in what’s relied upon to be the hottest new tech skill: Hadoop. With squads of Big data experts, Infycle’s turned out to be one of the best Big data training in Chennai whose Training course and certification is intended to give you skills in building amazing big data applications utilizing Hadoop by performing assignments on the real time Hadoop cluster.

1

Excelling Big Data Hadoop Training In Chennai – Way to become Big Data Specialist!

Hence to excel in this industry and compete with a lot of skilled people, learning Big Data Hadoop training in chennai is a primary chore for all job seekers. Those who join Big Data course in chennai, can learn and implement real time user cases, earn knowledge on maintaining data in HDFS, overall MapReduce architecture as well as HDFS infographic.

 

To become a Hadoop certified professional, one must search for best and trusted software training institutes around them. Suppose a person is interested in learning Big Data Training in Chennai, he/she must compare and choose the right Big Data Hadoop Courses package from the best software training organization in Chennai. Further learning these vast data analytics concepts is nevertheless an easier task. Hence being trained up from highly qualified and experienced teaching experts, one can accomplish his/her dream job come true.

Big Data Training in Chennai with Infycle Technologies!

We strive to enlighten the path of your career with potential skills.
Course planning

We train the courses in Infycle that are precisely planned according to the current trend in the IT market which are in high demand.

Expert trainers

Infycle trainers are working professionals in the real-time fields and has hands-on experience for more than 15+ years with leading technologies.

Placement Assistance

We are here with our expert team to help you in your career development and mock interviews with highly efficient skills and knowledge.

Certificate Course

Build a positive impact on your business. Check out what we have to offer.
May 30thMon-Fri(21 Days)
Timing 07:00 AM to 09:00 AM (IST)
Enroll Now
June 11thMon-Fri(21 Days)
Timing 07:00 AM to 09:00 AM (IST)
Enroll Now
July 30thMon-Fri(21 Days)
Timing 07:00 AM to 09:00 AM (IST)
Enroll Now

Course Price at

₹ 24,500 ₹34,500

10% OFF Expires in

Enroll Now

Only Big Data Training Institute in chennai that provides data experiential Learning!

Infycle Big Data Certification Course is provided by Big Data Hadoop industry specialists, and it covers in and out information on big data hadoop course content tools namely MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume, Sqoop HDFS and YARN.
2
Importance of Acquiring Big Data Certification

In Today’s modern world, data plays a vital role in all major industries like telecom, social media, shopping sites, bank sectors and many more. Where can all these data’s be stored? If we follow the traditional storage systems like DBMS or RDBMS it would be expensive, time consuming and even require a huge number of hard disks as well as man resources. To overcome this complex task, ‘Big Data’ came into existence with various technologies namely Business Intelligence, Cloud Computing, SAP, etc. in the 21st century around 2005. That's why Infycle supports you by providing Best Big Data training in chennai with the expert faculties.

Importance of Infycle’s Big Data Hadoop training in chennai :

The importance of Big data Hadoop training in chennai is illustrated by the fact that many multinational companies around the world use Hadoop and believe that it is an integral part of their activities.
“Worldwide Hadoop market to reach $84.6 billion out of two years” – Allied Market Research.
The quantity of employment accessible for Big Data experts is going high, and thus applicants are progressively learning this innovation to grab top occupations in this technology right now. In addition, this pattern is anticipated to go upwards in the near future making it one of the most desired profiles of recent times.

Big Data Training and Placement in Chennai -Why Infycle?

Infycle Big Data Training in Chennai, provides big data fundamentals and Hadoop instructional class which is intended to assist you with becoming a talented Hadoop engineer through a hands-on industry-based venture.

We, Infycle Training provides the following benefits:

  • Trainees will get a prompt response to any training related questions, either specialized or something else. We prompt our learners not to hold up until the following class to look for answers to any specialized issue.
  • Training meetings are directed by a well-experienced instructor with ongoing models.
  • We give training and placement guidance with your preferred choice.
  • As a feature of this training, you will be dealing with projects and assignments that have gigantic implications in real industry situations, therefore helping you quickly track your profession easily.
  • Toward the end of this training program, there will be tests that neatly reflect the sort of inquiries posed in the particular certification tests and assist you with scoring better.
  • Infycle effectively gives placement to all trainees who have effectively finished the training.
Start Here

Interested? Let's get in touch!

LeadEngine is a fully packed practical tool of premium built and design. Let your creativity loose and start building your website now.

Best Big Data Training in Chennai- Infycle:

Benefits of big data includes several known and unknow benefits and some of them are exclusive.
  • Excelling Interviews with Live projects – The most significant question you will be asked is, your proficiency & expertise in Big Data and what are the projects you have worked on?”. With Infycle, you can able to answer every question like a pro! Besides, our training and projects we taught you will help you to handle the tasks effortlessly.

 

  • Trust built for Infycle Big Data Training In Chennai – since our brand “Infycle ” widely trusted by most of the top MNC’s & organizations for it’s quality of training. So, your profile will have high level standards to attract any type of companies.

 

  • Upgrade your skills every day with Infycle- At regular intervals, every day our team & trainers will come up with new experiments, ideas, tools, technologies to sharpen your skill. Also, we arrange week after week Webinars, Podcasts, online training sessions through which you can gain values & knowledge at the same time.
Start Here

Reach Us

I am text block. Click edit button to change this text.

Find Better solution!

Are you still not aware about the course? Infycle is open to clarify all your doubts. Reach us for your queries.




Big Data Hadoop Training in Chennai- Infycle Course Assets.

To improve your knowledge and our training modules we explore out our methodologies!

Course Attributes

Our course training is an extreme level of knowledge transfer that could help you in the right way!
Course NameBig Data
Skill LevelBeginner, Intermediate, Advanced
Total Learners5000+
Course Duration500 Hours
Course Material
  • Class Room Training’s
  • Online Training’s
  • Webinars
  • Assignments
  • Projects
Student Portal    Yes
Placement Assistance     Yes

Course overview

We provide the best industry-based training to help you learn the structured and unstructured data, data handling methods that helps you evolve as a expert big data expert.

Scope of Big Data

Big companies like Amazon, Facebook, and IBM are generating tons and tons of data every day, and they need an expert to handle this data. Infycle offers the finest big data hadoop training in Chennai that helps you to learn big data from scratch and become a pro to be a huge asset for an organization.

Career Enhancement with Big Data

After learning Bid Data you kick start you career as a big data developer or job related to database administration. With passage of time, you can get exposed to new set of technologies and enrich the career enormously.

Our Schedules

We are available for you in a flexible manner for the best support.

Regular session

We offer you regular classes for those who are interested to learn full-fledged. Regular session comprises of 30 days training with 2 hours session per day.

Fast track schedule

We know the complication of working professionals. Those who wish to make it in short span we provide you with carefully planned and precised schedule with no compromise in qulaity.

Weekend schedule

For the working people and those who are unable to make it regular.. we support you with the weekend schedules for about 10 weekends and 3 hours per day.

Our Flexibility

Infycle wishes you to be comfort. We make you space to keep yourself comfort with the shcedule depending on your availability for training. You can decide the schedule based on your convenience.

We give you the right path!

We consider your goals and provide you the clear vision of the career growth.
10
Take a Demo!

Want to know our proficiency ? We offer you free demo classes! You can attend our free training and decide. We only deliver the best ever.

Are you Confused in Career path?

We offer career consultation with immense care about your future! We consider all of your Ambitions and Goals and guide you to the best career path for a great future!

Sample Course guide

Our course materials are highly rated among industry experts. We have made few of our course lectures and induction kit for smooth learning experience.

Get the Globalized knowledge

Infycle works with motive of delivering only the best to the students to enhance their skills!
Knowledge from global experts

Infycle faculty team have a thorough knowledge of their core subjects. Our faculties are experienced IT experts who have worked with multiple reputed IT firms globally. They deliver their best of knowledge acquired through their vast hands-on experience to equip students at Infycle to the highest standard skills.

Diversity of Trainers

The vast experience of the trainers and their diversity skills provides the most excellent knowledge to upgrade the skills and minds of the students. They make the training friendly, supportive and best interactive sessions.

Interactive sessions

The friendly approach and the upgraded skills of the trainers provides the best support to the students that makes the training interactive. The one-one training is highly effective to deliver only the best to the students from the expert minds of the faculty.

Master up your skills with certification!

Enrich the status of your profile by gaining the certification of the course to upgrade yourself.
13-1
Certification Exam

Infycle's Big data program helps you clear the Big data certification examination. This certification is a great plus to upgarde your resume.

Certification Benefits

Pursuing Big data Certification enhances your chances of moving to a great job to many folds. Infycle's training are a great source to clear the examination.

FAQ's

We prove our confidence by giving a right solution to you! Some of the solutions provided here.

Who can take up the Big Data course?

Big data is a best, highly demanded and beneficial course. If you are interested then you can take up the training. It is affordable for fresh graduates, experienced developers and other software professionals.

What are the prerequisites for Big Data training?

There are no prerequisites for getting trained in Bid Data course. It is beneficial if you have prior knowledge of programming.

Do Infycle offers Placement after doing big data course?

Infycle is proud to present that we have placed 5000+ students in various reputed firms. Our expert placement team provides 100% placement guidance and helps you to mock the interview and get placed with best offers.

Is there any additional benefits in the training?

Infycle Technologies supports you with the best training sessions. In addition to the course, we support you with projects cases, query session and resume building that adds points to your profile to grab the job opportuinities.

Is Big Data is hard to learn?

No. It is basically a database language and uses general language for easy understanding. With our experienced faculty team at Infycle, we make it more easier to learn.

What is my career scope in Big Data?

With everything going digital, all the firms and industries depend a database to maintain records.So with every changing moment, the career opportunities for big data developer is wide open in all sectors.There is a huge demand for database administrators with high paychecks.

Questions?

I am text block. Click edit button to change this text. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Contact us?

Reviews

Cras mattis iudicium purus sit amet fermentum at nos hinc posthac, sitientis piros afros. Lorem ipsum dolor sit amet, consectetur adipisici elit, petierunt uti sibi.
Dignissim per dis dignissim mi nibh a parturient habitasse suspendisse ut a feugiat morbi neque tortor.Tellus volutpat scelerisque tempor.

Raymond Turner

Sales Manager

Dignissim per dis dignissim mi nibh a parturient habitasse suspendisse ut a feugiat morbi neque tortor.Tellus volutpat scelerisque tempor.

Bruce Sutton

Marketing Expert

Dignissim per dis dignissim mi nibh a parturient habitasse suspendisse ut a feugiat morbi neque tortor.Tellus volutpat scelerisque tempor.

Pete Hugh

Design Director

Dignissim per dis dignissim mi nibh a parturient habitasse suspendisse ut a feugiat morbi neque tortor.Tellus volutpat scelerisque tempor.

David Banner

Web Developer

Big Data Hadoop Course Content

Have a glance through our course syllabus and precisely formulated modules of Big Data.

Bigdata Hadoop Administration Course Content

Introduction to Bigdata and the Hadoop Ecosystem 

  • Why we need Bigdata
  • Real time use cases of Bigdata Overview
  • Introduction to Apache Hadoop and the Hadoop Ecosystem
  • Apache Hadoop Overview
  • Data Ingestion and Storage
  • Data Locality
  • Data Analysis and Exploration
  • Other Ecosystem Tools

Hadoop Ecosystem Installation

  • Ubuntu 14.04 LTS Installation through VMware Player
  • Installing Hadoop 2.7.1 on Ubuntu 14.04 LTS (Single-Node Cluster)
  • Apache Hive Installation
  • MySQL Installation
  • Apache Sqoop and Flume Installation
  • Kafka and spark Installation
  • Scala SBT Installation

Apache Hadoop File Storage (HDFS)

  • Why we need HDFS
  • Apache Hadoop Cluster Components
  • HDFS Architecture
  • Failures of HDFS 1.0
  • High Availability and Scaling
  • Pros and Cons of HDFS
  • Basics File system Operations
  • Hadoop FS or HDFS DFS – The Command-Line Interface
  • Decommission methods for Data Nodes.
  • Exercise and small use case on HDFS.
  • Block Placement Policy and Modes
  • Configuration files handling
  • Federation of HDFS
  • FSCK Utility (Heart Beat and Block report).
  • Reading and Writing Data in HDFS
  • Replica Placement Strategy
  • Fault tolerance

 MapReduce

  • Overview and Architecture of Map Reduce
  • Components of MapReduce
  • How MapReduce works
  • Flow and Difference of MapReduce Version
  • YARN Architecture
  • Working with YARN
  • Types of Input formats & Output Formats

 Apache Hive

  • Installation on Ubuntu 14.04 With MySQL Database Metastore
  • Overview and Architecture
  • Command execution in shell and HUE
  • Hive Data Loading methods, Partition and Bucketing
  • External and Managed tables in Hive
  • File formats in Hive
  • Hive Joins
  • Serde in Hive

Apache Sqoop

  • Overview and Architecture
  • Import and Export
  • Sqoop Incremental load
  • Managing Directories
  • File Formats
  • Boundary Query and Split-by
  • Delimiter and Handling Nulls
  • Sqoop import all tables

Apache Pig

  • Apache Pig Overview and Architecture
  • MapReduce Vs Pig
  • Data types of Pig
  • Pig Data loading methods
  • Pig Operators and execution modes
  • Performance Tuning in Pig
  • Type casting in Pig
  • Data Validation in Pig
  • Pig script execution in shell/HUE

 Apache Hbase

  • Introduction to NoSQL/CAP theorem concepts
  • Apache HBase Overview and Architecture
  • Apache HBase Commands
  • HBase and Hive Integration module
  • Hbase execution in shell/HUE

Apache Spark Basics

  • What is Apache Spark?
  • Starting the Spark Shell
  • Using the Spark Shell
  • Getting Started with Datasets and Data Frames
  • Data Frame Operations
  • Apache Spark Overview and Architecture

RDD and Paired RDD

  • RDD Overview
  • RDD Data Sources
  • Creating and Saving RDDs
  • RDD Operations
  • Transformations and Actions
  • Converting Between RDDs and Data Frames
  • Key-Value Pair RDDs
  • Map-Reduce operations
  • Other Pair RDD Operations

Working with Data Frames, Schemas and Datasets

  • Creating Data Frames from Data Sources
  • Saving Data Frames to Data Sources
  • Data Frame Schemas
  • Eager and Lazy Execution
  • Querying Data Frames Using Column Expressions
  • Grouping and Aggregation Queries
  • Joining Data Frames
  • Querying Tables, Files, Views in Spark Using SQL
  • Comparing Spark SQL and Apache Hive-on-Spark
  • Creating Datasets
  • Loading and Saving Datasets
  • Dataset Operations

 Running Apache Spark Applications

  • Writing a Spark Application
  • Building and Running an Application
  • Application Deployment Mode
  • The Spark Application Web UI
  • Configuring Application Properties

Apache Flume

  • Introduction to Flume & features
  • Flume topology & core concepts
  • Flume Agents: Sources, Channels and Sinks
  • Property file parameters logic

Apache Kafka

  • Installation
  • Overview and Architecture
  • Consumer and Producer
  • Deploying Kafka in real world business scenarios
  • Integration with Spark for Spark Streaming

Apache Zookeeper

  • Introduction to zookeeper concepts
  • Overview and Architecture of Zookeeper
  • Zookeeper principles & usage in Hadoop framework
  • Use of Zookeeper in Hbase and Kafka

Apache Oozie

  • Oozie Fundamentals
  • Oozie workflow creations
  • Concepts of Coordinates and Bundles

Bigdata Hadoop Development Course Content

Introduction to Bigdata and the Hadoop Ecosystem 

  • Why we need Bigdata
  • Real time use cases of Bigdata Overview
  • Introduction to Apache Hadoop and the Hadoop Ecosystem
  • Apache Hadoop Overview
  • Data Ingestion and Storage
  • Data Processing
  • Data Analysis and Exploration
  • Other Ecosystem Tools

Apache Hadoop File Storage (HDFS)

  • Why we need HDFS
  • Apache Hadoop Cluster Components
  • HDFS Architecture
  • Failures of HDFS 1.0
  • High Availability and Scaling
  • Pros and Cons of HDFS
  • Basics File system Operations
  • Hadoop FS or HDFS DFS – The Command-Line Interface
  • Decommission methods for Data Nodes.
  • Exercise and small use case on HDFS.

MapReduce

  • Overview and Architecture of Map Reduce
  • Components of MapReduce
  • How MapReduce works
  • Flow and Difference of MapReduce Version
  • YARN Architecture
  • Working with YARN
  • Types of Input formats & Output Formats
  • Examples of MapReduce Tasks

HDFS Info graphic

  • Reading Data from HDFS
  • Writing Data from HDFS
  • Replica Placement Strategy
  • Fault tolerance

 Apache Hive

  • Installation on Ubuntu 14.04 With MySQL Database Metastore
  • Overview and Architecture
  • Command execution in shell and HUE
  • Hive Data Loading methods, Partition and Bucketing
  • External and Managed tables in Hive
  • File formats in Hive
  • Hive Joins
  • Serde in Hive
  • Functions in Hive
  • String Manipulation in Hive
  • Date Manipulation in Hive
  • Row level transformations in Hive
  • Indexes and Views in Hive
  • Hive Query Optimizers
  • Windowing Functions in Hive

Apache Sqoop

  • Overview and Architecture
  • Import and Export
  • Sqoop Incremental load
  • Sqoop Eval
  • Managing Directories
  • File Formats
  • Compression Algorithm
  • Boundary Query and Split-by
  • Transformations and filtering
  • Delimiter and Handling Nulls
  • Sqoop import all tables
  • Column Mapping in Sqoop Export

Apache Pig

  • Apache Pig Overview and Architecture
  • MapReduce Vs Pig
  • Data types of Pig
  • Pig Data loading methods
  • Pig Operators and execution modes
  • Load and Store Operators
  • Diagnostic Operators
  • Grouping and Joining
  • Combining and Splitting
  • Filtering and Sorting
  • Built-in Functions
  • Pig script execution in shell/HUE

Apache Hbase

  • Introduction to NoSQL/CAP theorem concepts
  • Apache HBase Overview and Architecture
  • Apache HBase Commands
  • HBase and Hive Integration module
  • Hbase execution in shell/HUE

Introduction to Scala

  • Functional Programing Vs Object Orient Programing
  • Scala Overview
  • Configuring Apache Spark with Scala
  • Variable Declaration
  • Operations on variables
  • Conditional Expressions
  • Pattern Matching
  • Iteration

Deep Dive into Scala

  • Scala Functions and Oops Concept
  • Scala Abstract Class & Traits
  • Access Modifier, Array and String
  • Exceptions, Collections and Tuples
  • File handling and Multithreading
  • Spark Ecosystem

Apache Spark Basics

  • What is Apache Spark?
  • Starting the Spark Shell
  • Using the Spark Shell
  • Getting Started with Datasets and Data Frames
  • Data Frame Operations
  • Apache Spark Overview and Architecture

RDD and Paired RDD

  • RDD Overview
  • RDD Data Sources
  • Creating and Saving RDDs
  • RDD Operations
  • Transformations and Actions
  • Converting Between RDDs and Data Frames
  • Key-Value Pair RDDs
  • Map-Reduce operations
  • Other Pair RDD Operations

Working with Data Frames, Schemas and Datasets

  • Creating Data Frames from Data Sources
  • Saving Data Frames to Data Sources
  • Data Frame Schemas
  • Eager and Lazy Execution
  • Querying Data Frames Using Column Expressions
  • Grouping and Aggregation Queries
  • Joining Data Frames
  • Querying Tables, Files, Views in Spark Using SQL
  • Comparing Spark SQL and Apache Hive-on-Spark
  • Creating Datasets
  • Loading and Saving Datasets
  • Dataset Operations

Apache Flume

  • Introduction to Flume & features
  • Flume topology & core concepts
  • Flume Agents: Sources, Channels and Sinks
  • Property file parameters logic

Apache Kafka

  • Installation
  • Overview and Architecture
  • Consumer and Producer
  • Deploying Kafka in real world business scenarios
  • Integration with Spark for Spark Streaming

Apache Zookeeper

  • Introduction to zookeeper concepts
  • Overview and Architecture of Zookeeper
  • Zookeeper principles & usage in Hadoop framework
  • Use of Zookeeper in Hbase and Kafka

Apache Oozie

  • Oozie Fundamentals
  • Oozie workflow creations
  • Concepts of Coordinates and Bundles

CCA Certification Course Content

Introduction to Apache Hadoop and the Hadoop Ecosystem 

  • Introduction to Apache Hadoop and the Hadoop Ecosystem
  • Apache Hadoop Overview
  • Data Ingestion and Storage
  • Data Processing
  • Data Analysis and Exploration
  • Other Ecosystem Tools

Hadoop Ecosystem Installation

  • Ubuntu 14.04 LTS Installation through VMware Player
  • Installing Hadoop 2.7.1 on Ubuntu 14.04 LTS (Single-Node Cluster)
  • Apache Hive Installation
  • MySQL Installation
  • Sqoop and Flume Installation
  • Kafka and spark Installation
  • Scala SBT Installation

Apache Hadoop File Storage

  • Why we need HDFS
  • Apache Hadoop Cluster Components
  • HDFS Architecture
  • Failures of HDFS 1.0

Distributed Processing on an Apache Hadoop Cluster

  • Overview and Architecture of Map Reduce
  • Components of MapReduce
  • How MapReduce works
  • Flow and Difference of MapReduce Version
  • YARN Architecture
  • Working with YARN

HDFS Info graphic

  • Reading Data from HDFS
  • Writing Data from HDFS
  • Replica Placement Strategy
  • Fault tolerance – 1,2 and 3

Introduction to Scala

  • Functional Programing Vs Object Orient Programing
  • Scala Overview
  • Configuring Apache Spark with Scala

Scala Basics

  • Variable Declaration
  • Operations on variables
  • Conditional Expressions
  • Pattern Matching
  • Iteration

Deep Dive into Scala

  • Functions and Oops Concept of scala
  • Abstract Class & Traits
  • Access Modifier, Array and String
  • Exceptions, Collections and Tuples
  • File handling and Multithreading
  • Spark Ecosystem

Apache Hive

  • Installation on Ubuntu 14.04 With MySQL Database Metastore
  • Overview and Architecture
  • Command execution in shell and HUE
  • Data Loading methods, Partition and Bucketing
  • External and Managed tables in Hive
  • File formats in Hive
  • Hive Joins
  • Serde in Hive

Apache Sqoop

  • Overview and Architecture
  • MySQL Installation
  • Sqoop Installation
  • Import Examples and Export Example

Apache Spark Basics

  • What is Apache Spark?
  • Starting the Spark Shell
  • Using the Spark Shell
  • Getting Started with Datasets and DataFrames
  • DataFrame Operations

Working with DataFrames and Schemas

  • Creating DataFrames from Data Sources
  • Saving DataFrames to Data Sources
  • DataFrame Schemas
  • Eager and Lazy Execution

Analyzing Data with DataFrame Queries

  • Querying DataFrames Using Column Expressions
  • Grouping and Aggregation Queries
  • Joining DataFrames

RDD 

  • RDD Overview, Data Sources and operations
  • Creating and Saving RDDs

Transforming Data with RDDs

  • Writing and Passing Transformation Functions
  • Transformation Execution
  • Converting Between RDDs and DataFrames

Aggregating Data with Pair RDDs

  • Key-Value Pair RDDs
  • Map-Reduce operations
  • Other Pair RDD Operations

Querying Tables and Views with Apache Spark SQL

  • Spark with Querying Tables Using SQL
  • Querying Files and Views
  • The Catalog API
  • Comparing Spark SQL, Apache Impala, and Apache Hive-on-Spark

Working with Datasets in Scala

  • Datasets and DataFrames
  • Creating Datasets
  • Loading and Saving Datasets
  • Dataset Operations

Writing, Configuring, and Running Apache Spark Applications

  • Writing a Spark Application
  • Building and Running an Application
  • Application Deployment Mode
  • The Spark Application Web UI
  • Configuring Application Properties

Distributed Processing

  • Review: Apache Spark on a Cluster
  • RDD Partitions
  • Example: Partitioning in Queries
  • Stages and Tasks
  • Job Execution Planning
  • Example: Catalyst Execution Plan
  • Example: RDD Execution Plan

Distributed Data Persistence

  • DataFrame and Dataset Persistence
  • Persistence Storage Levels
  • Viewing Persisted RDDs
  • Difference between RDD, Dataframe and Dataset

Common Patterns in Apache Spark Data Processing

  • Common Apache Spark Use Cases
  • Iterative Algorithms in Apache Spark
  • Machine Learning
  • Example: k-means

Apache Spark Streaming: Introduction to DStreams

  • Apache Spark Streaming Overview
  • Example: Streaming Request Count
  • Developing Streaming Applications
  • Print and Saving tweets
  • Explain how stateful operations work
  • Explain window and join operations

Apache Flume

  • Introduction to Flume & features
  • Flume topology & core concepts
  • Flume Agents: Sources, Channels and Sinks
  • Property file parameters logic

Apache Kafka

  • Installation
  • Overview and Architecture
  • Consumer and Producer
  • Deploying Kafka in real world business scenarios
  • Integration with Spark for Spark Streaming

Apache Spark Streaming: Processing Multiple Batches

  • Multi-Batch Operations
  • Time Slicing
  • State Operations
  • Sliding Window Operations
  • Preview: Structured Streaming

Apache Spark Streaming: Data Sources

  • Streaming Data Source Overview
  • Apache Flume and Apache Kafka Data Sources
  • Example: Using a Kafka Direct Data Source

Section Title

I am text block. Click edit button to change this text. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Certificate List

Earn a professional certificate from top universities and institutions including Harvard, MIT, Microsoft and more.

Interested? Let's get in touch!

LeadEngine is a fully packed practical tool of premium built and design. Let your creativity loose and start building your website now.

Infycle’s Big Data Training Institute In Chennai -What’s This Program About?

“Inspired by industry and driven by student success”

The program enables you to

  • Build your resume to grab a recruiter attraction and leave an extraordinary initial introduction in any company you join in.
  • Reclassifying your career objectives and molding your portfolio to assist you “TO STAND OUT IN A GROUP”.
  • Pretending during a mock interview and Q&A rounds to intellectually set you up for progress.

Big Data Analytics Introduction:

  • Big data Analytics offers further knowledge about the importance of data sets by recounting the story behind the data.
  • This empowers partners to settle on progressively educated choices. This program furnishes students with an exceptional mix of hypothetical information and applied skills.
  • Students will learn about how to gather, control, encode, and store data indexes so they can be analyzed and mined.

Career Opportunities of Big Data analytics training in Chennai:

Infycle’s training allows graduates to gather, sort out and associate data for a wide range of businesses including government, applied research, HR, social insurance, and marketing.

Utilizing earlier foundation, aptitudes, and experience, students and working employees might be utilized in jobs, for example, Data Analyst, Data Visualization Developer, BI Specialist, etc.

 

Top 12 Companies using Apache Hadoop 

Hadoop is an open source platform that runs huge amounts of unstructured data in commodity hardware with great flexibility across the web. Here are some of the top companies which follow Hadoop clusters in their businesses:=

  • Amazon web services
  • Cloudera
  • Sciencesoft
  • Pivotal
  • Hortonworks
  • IBM
  • Microsoft
  • MapR
  • Datameer
  • Hadapt
  • Adello
  • Karmasphere

Section Title

I am text block. Click edit button to change this text. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Latest Blog

We help businesses of all sizes to increase visibility, drive more traffic and improve commercial success
Top 10 Tips To Build Successful Career In IT

Top 10 Tips To Build Successful Career In IT [2020]

Today we got surrounded by an unexpected pandemic condition which created uncertainty in everyone’s life. Still, it’s our prior responsibility to make things favorable at any situation. […]

Gallery post 2

Prepared do an dissuade be so whatever steepest. Yet her beyond looked either day wished nay. By doubtful disposed do juvenile an. Now curiosity you explained immediate […]

Standard post 2

Prepared do an dissuade be so whatever steepest. Yet her beyond looked either day wished nay. By doubtful disposed do juvenile an. Now curiosity you explained immediate […]

Client testimonials

We are very proud of the service we provide and stand by every product we carry. Read our testimonials from our happy customers.

Tags Post

We are very proud of the service we provide and stand by every product we carry. Read our testimonials from our happy customers.

Customized solutions

We help businesses of all sizes to increase visibility, drive more traffic and improve commercial success