Big Data Master Program

☑ BEST MASTER PROGRAM TRAINING WITH PLACEMENT SUPPORT.
☑ Beginner & Advanced level Classes.
☑ Hands-on Learning experience.
☑ Best Practice for interview Preparation Techniques.
☑ Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
☑ Affordable Fees with Best curriculum Designed by Experts.
☑ Delivered by 9+ years of Certified Expert | 12407+ Students Trained & 350+ Recruiting Clients.
☑ Next Batch to Begin this week – Enroll your Name Now!

Batch Schedule

Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session

  • 04-JUL-2022 Starts Coming Monday ( Monday - Friday) 08:00 AM
  • 06-JUL-2022 Starts Coming Wednesday ( Monday - Friday) 08:00 AM

Weekend Regular (Class 3Hrs) / Per Session

  • 09-JUL-2022 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM

Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session

  • 09-JUL-2022 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM

Big Data Master Program

Candidates that aspire to excel in any technology always choose ACTE. The Big Data Master Program Training in Chennai at ACTE is renounced the most effective training for this technology. Our training methods have proven to be the foremost effective with practical approach and well trained professional trainers.

We at ACTE, provide additional materials that may help the candidates within the long term. people who enrol with us are going to be supplied with their own student login and learning material whilst also being supplied with resume preparation, model interviews, technical interviews and exercise on the technology.

The Big Data Master Program Course in Chennai at ACTE covers all aspects from basics to advanced level, Hence is compatible for candidates of all levels. Our trainers are experts from Multi-national Corporations with over 10 years of experience.

Our Big Data Master Program Training institution in Chennai provides insight into the commercial applications of the technology. Our professional trainers will train you to crack the work openings at top MNCs while providing a practical insight into the course.

The candidates who enrol at the Big Data Master Program Training at Chennai with Placement at ACTE are going to be given a chance to attend interviews upon completion of fifty of the course until placement. they're also supplied with internationally recognized certificate from ACTE's traffic jam The National Institute of Education (NIE) in Singapore. we've got about 5 companies conducting interviews on a weekly basis. Our candidates are assured to search out a task in their dream organization.

  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training

Key Features

ACTE Chennai offers Big Data Master Program Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.

Curriculum

Java Essentials Course Syllabus
    Module 1: Getting Familiar with Spark
    • Apache Spark in Big Data Landscape and purpose of Spark
    • Apache Spark vs. Apache MapReduce
    • Components of Spark Stack
    • Downloading and installing Spark
    • Launch Spark
    Module 2: Working with Resilient Distributed Dataset (RDD)
    • Transformations and Actions in RDD
    • Loading and Saving Data in RDD
    • Key-Value Pair RDD
    • MapReduce and Pair RDD Operations
    • Playing with Sequence Files
    • Using Partitioner and its impact on performance improvement
    Module 3: Spark Application Programming
    • Master SparkContext
    • Initialize Spark with Java
    • Create and Run Real-time Project with Spark
    • Pass functions to Spark
    • Submit Spark applications to the cluster
    • AWS Architect
    • Describe the features of AWS The features of AWS marketplace
    • Describe the features of Amazon Compute Services
    • Describe the features of Amazon Storage Services
    • Describe the features of Amazon Network Services
    • Describe the features of Amazon Database services
    • Describe about various services in AWS
    • Global Infrastruture – Regions and Availability Zones
    • Create a free tier account in AWS and onboarding
    • Introduction AWS management console
    • Understand Identity Access Management of AWS Protect your AWS by different authentication system
    • Password policies set for users
    • AWS User Account and Groups in detail
    • Creating custom policies in AWS Introduction about Roles and its use
    • Creating Roles and associating policies
    • Creating programmatic access and management console access for users
    • Associating policies to the user and groups
    • EC2 Instance Describe AMI and AWS Marketplace templates
    • Launch a basic EC2 instance
    • Different types of Instances Reserved, On-demand, Spot, Dedicated
    • Security groups and tags for EC2 instance
    • Public key – Private key introduction and protecting EC2 with keys
    • Attaching and detaching EBS volumes
    • Launch an ec2 instance from an AMI
    • Create custom AMI and working with different region
    • Make use of amazon EBS volume and create snapshots
    • Manage the configuration of your application
    • Deploying a new instance from the created AMI
    • Auto-scaling Get Started with Auto Scaling Using the Console
    • Creating Launch configurations and make use of it for autoscaling groups
    • Maintain a Fixed Number of Running EC2 Instances
    • Dynamic Scaling
    • The lifecycle of autoscaling
    • Policies of autoscaling
    • Load Balancing Introduction to Loadbalancer (ELB)
    • Different types of Loadbalancer in AWS
    • Application Load balancer
    • Network Load balancer
    • Classic Load balancer
    • Migrating classic load balancer to new load balancer
    • Components and types of load balancing
    • EBS (Elastic Block Storage) Create EBS volumes
    • Delete EBS Volumes
    • Attach and detach EBS volumes with EC2 instance
    • Creating and deleting snapshots
    • Object Storage in Cloud Understanding S3 durability and redundancy
    • Introduction about S3 Buckets
    • How S3 Uploading works and how to Download
    • How to S3 Permissions
    • How to implement S3 Object Versioning S3 Lifecycle Policies
    • Storage Gateway
    • Import Export
    • S3 Transfer Acceleration
    • Glacier storage
    • Cloud Front Describing cloud front
    • Creating a cloud front distribution
    • Hosting a website of cloud front distribution
    • Implementing global restrictions
    • Configuring origins and behaviors
    • Route53 Describe Hosted zones and Domain name understanding
    • How to create hosted zones
    • Hosting a website with custom domain name
    • Understanding routing policies
    • AWS Security Management Describing Security Practices for Cloud Deployment
    • AWS Shared Responsibilities and Securities
    • Importance of Cloud Trail
    • Describing Trust advisor
    • Amazon Virtual Private Cloud (VPC) Introduction to Amazon Virtual Private Cloud (VPC).
    • VPC Advantages and understanding IP addressing CIDR
    • Default and Non-default VPC
    • Different Components in VPC
    • Describe, create, and manage Amazon Virtual Private Cloud
    • Amazon VPC, Private Subnet, and Public Subnet
    • AWS Networking, Security Groups, and Network ACLs
    • Configuration and management of VPN connectivity
    • ubnet and Subnet Mask
    • Relational Database Service (RDS) Introduction to RDS
    • Different database services of AWS: Amazon RDS, Dynamo DB, Redshift etc.
    • Create MYSQL RDS Instance, Oracle RDS Instance, MS SQL RDS Instance
    • Configuring the database
    • Configuring backups
    • Configuring the maintenance windows
    • Connecting to the database
    • Dynamo DB Adding data manually
    • Learn about strong and eventual consistency
    • Calculating Read write consistency
    • Configuring alarms
    • Monitoring Services Knowledge on Cloud watch – A monitoring service
    • Create and Configuring Monitoring services
    • How to perform Setting thresholds and Configuring actions
    • Creating a cloud watch alarm
    • Getting statistics for ec2 instances
    • Monitoring other AWS services
    • Configuring Notifications
    • Integrating cloud watch with Autoscaling
    • Application Services – An Overview What is SNS
    • Creating a topic
    • Create subscription
    • Subscribed to the subscription
    • SQS & SES
    • Lambda and Elastic Beanstalk
    • AWS Troubleshooting Troubleshooting EC2 instance
    • Troubleshooting using Cloud watch
    • Troubleshooting using ELB
    • Troubleshooting by using Cloud front
    • AWS Architecture and Design Backup and Disaster Recovery
    • How to manage Disaster Recovery and Backups
    • Best Practice for DR and Backups
    • AWS High Availability Design
    • DevOps Fundamentals An understanding of DevOps and the modern DevOps toolsets
    • The ability to automate all aspects of a modern code delivery and deployment pipeline using:
    • Source code management tools – CVS, Git
    • Build tools – Apache ant, Maven
    • Test automation tools – JUnit
    • Continuous Integration Tools – Jenkins, Team city
    • Configuration management tools – Chef, Puppet, Ansible
    • Migration applications to AWS
    • Introduction to AWS Services Pre-Migration practices usage and learning
    • AWS Migration Strategy
    • Stack creation using an AWS CloudFormation template
    • AWS CAF (Cloud Adoption Framework)
    • Application Migration To AWS
    • Migrating an on premise Server or VM to cloud.
    • Server Migration services;
    • Agent based and agentless server migration service
    • igrating on Premises Hyper VM to AWS AMI
    • Migrating on Premises VMware VM to AWS AMI
    • Database Migration to AWS Migrating an on premises VM machine to AWS environment
    • AWS Database Migration services & challenges
    • Usage of pre & post migration activities by using AWS
    • portfolio of DB migration services
    • Data Migration to AWS Migrating a database from outside the AWS environment to target AWS RDS
    • mazon Aurora DB within AWS environment:
    • Transferring data to AWS in large scale
    • Speeding up a large-scale data migration to S3 by enabling S3 Acceleration
    • Elastic Docker Services Docker Ecosystem usage
    • Understanding the ECS usage in Docker
    • Docker package usage in a monolithic application inside docker container services
    • AWS elastic container service(ECS) used to migrate monolithic application to AWS Cloud
    • AWS transfer for SFTP Purpose of Storage Gateway
    • Snowball & Snowball edge services
    • Direct Connect tool usage
    Module 4: Spark Libraries
      Module 5: Spark configuration, monitoring, and tuning
      • Understand various components of Spark cluster
      • Configure Spark to modify
      • Spark properties
      • environmental variables
      • logging properties
      • Visualizing Jobs and DAGs
      • Monitor Spark using the web UIs, metrics, and external instrumentation
      • Understand performance tuning requirements
      Module 6: Spark Streaming
      • Understanding the Streaming Architecture – DStreams and RDD batches Receivers
      • Common transformations and actions on DStreams
      Module 7: MLlib and GraphX
        SQL Course Syllabus
        • Introduction to Oracle Database
        • Retrieve Data using the SQL SELECT Statement
        • Learn to Restrict and Sort Data
        • Usage of Single-Row Functions to Customize Output
        • Invoke Conversion Functions and Conditional Expressions
        • Aggregate Data Using the Group Functions
        • Display Data From Multiple Tables Using Joins
        • Use Sub-queries to Solve Queries
        • The SET Operators
        • Data Manipulation Statements
        • Use of DDL Statements to Create and Manage Tables
        • Other Schema Objects
        • Control User Access
        • Management of Schema Objects
        • Manage Objects with Data Dictionary Views
        • Manipulate Large Data Sets
        • Data Management in Different Time Zones
        • Retrieve Data Using Sub-queries
        • Regular Expression Support
        Linux Administrator Course Syllabus
          Module 1: Automating Programs
          • Run Levels
          • /etc/rc.d Files
          • Customization of Run Levels
          • cron and anacron
          • at and batch
          Module 2: Login Options
          • Console Logon
          • Controlling Console Login
          • Virtual Consoles
          • Serial Login
          • Remote Login
          • ssh Login
          Module 3: Building a Custom Linux Kernel
          • Kernel Versions
          • Kernel Source Files
          • Kernel Patch Files
          • Kernel Configuration
          • Kernel Building
          • Testing a New Kernel
          Module 4: The GNU/Linux Filesystem
          • Partition Types
          • Filesystem Types
          • Mounting
          • Automount
          • File Types
          • File Security
          Module 5: Key Filesystem Locations
          • Boot Files
          • User Files
          • Administrator Files
          • Configuration Files
          • Log Files
          Module 6: The /proc Pseudo Filesystem
          • Process Info
          • Kernel Config Info
          • Hardware Info
          • Changing /proc Info
          • Sysctl
          Module 7: BASH – Borne Again Shell
          • Key /bin Commands
          • Key /sbin Commands
          • History
          • man and info
          • vi
          • Using Shell Scripts
          Module 8: User Management
          • Users and Groups
          • Home Directories
          • Password Files
          • PAM
          • Quotas
          • NIS Intro
          Module 9: Software Management
          • tar Files
          • Patch Files
          • RPM
          Module 10: Hardware Management
          • Types of Devices
          • /dev Namespace
          • Modules
          Module 11: Network Management
          • Types of Network Devices
          • Monitoring Network Devices
          • Controlling Network Services
          • xinted
          • iptables
          Module 12: Network Services – Part I
          • DHCP
          • DNS
          • SSH
          Module 13: Network Services – Part II
          • FTP
          • NFS
          • Samba
          Module 14: Network Services – Part III
          • Sendmail
          • Apache
          • Squid Proxy Server
          Module 15: The X Window System
          • X Servers and X Clients
          • XFree86
          • X Fonts
          • GTK and KDE
          Module 16: Exam Practice
            Module 17: Installation Challenges
              Module 18: Configuration Challenges
                Module 19: Troubleshooting Challenges
                BigData Hadoop Course Syllabus
                  Module 1: Introduction to Hadoop
                  • High Availability
                  • Scaling
                  • Advantages and Challenges
                  Module 2: Introduction to Big Data
                  • What is Big data
                  • Big Data opportunities,Challenges
                  • Characteristics of Big data
                  Module 3: Introduction to Hadoop
                  • Hadoop Distributed File System
                  • Comparing Hadoop & SQL
                  • Industries using Hadoop
                  • Data Locality
                  • Hadoop Architecture
                  • Map Reduce & HDFS
                  • Using the Hadoop single node image (Clone)
                  Module 4: Hadoop Distributed File System (HDFS)
                  • HDFS Design & Concepts
                  • Blocks, Name nodes and Data nodes
                  • HDFS High-Availability and HDFS Federation
                  • Hadoop DFS The Command-Line Interface
                  • Basic File System Operations
                  • Anatomy of File Read,File Write
                  • Block Placement Policy and Modes
                  • More detailed explanation about Configuration files
                  • Metadata, FS image, Edit log, Secondary Name Node and Safe Mode
                  • How to add New Data Node dynamically,decommission a Data Node dynamically (Without stopping cluster)
                  • FSCK Utility. (Block report)
                  • How to override default configuration at system level and Programming level
                  • HDFS Federation
                  • ZOOKEEPER Leader Election Algorithm
                  • Exercise and small use case on HDFS
                  Module 5: Map Reduce
                  • Map Reduce Functional Programming Basics
                  • Map and Reduce Basics
                  • How Map Reduce Works
                  • Anatomy of a Map Reduce Job Run
                  • Legacy Architecture ->Job Submission, Job Initialization, Task Assignment, Task Execution, Progress and Status Updates
                  • Job Completion, Failures
                  • Shuffling and Sorting
                  • Splits, Record reader, Partition, Types of partitions & Combiner
                  • Optimization Techniques -> Speculative Execution, JVM Reuse and No. Slots
                  • Types of Schedulers and Counters
                  • Comparisons between Old and New API at code and Architecture Level
                  • Getting the data from RDBMS into HDFS using Custom data types
                  • Distributed Cache and Hadoop Streaming (Python, Ruby and R)
                  • YARN
                  • Sequential Files and Map Files
                  • Enabling Compression Codec’s
                  • Map side Join with distributed Cache
                  • Types of I/O Formats: Multiple outputs, NLINEinputformat
                  • Handling small files using CombineFileInputFormat
                  Module 6: Map Reduce Programming – Java Programming
                  • Hands on “Word Count” in Map Reduce in standalone and Pseudo distribution Mode
                  • Sorting files using Hadoop Configuration API discussion
                  • Emulating “grep” for searching inside a file in Hadoop
                  • DBInput Format
                  • Job Dependency API discussion
                  • Input Format API discussion,Split API discussion
                  • Custom Data type creation in Hadoop
                  Module 7: NOSQL
                  • ACID in RDBMS and BASE in NoSQL
                  • CAP Theorem and Types of Consistency
                  • Types of NoSQL Databases in detail
                  • Columnar Databases in Detail (HBASE and CASSANDRA)
                  • TTL, Bloom Filters and Compensation
                  Module 8: HBase
                  • HBase Installation, Concepts
                  • HBase Data Model and Comparison between RDBMS and NOSQL
                  • Master & Region Servers
                  • HBase Operations (DDL and DML) through Shell and Programming and HBase Architecture
                  • Catalog Tables
                  • Block Cache and sharding
                  • SPLITS
                  • DATA Modeling (Sequential, Salted, Promoted and Random Keys)
                  • JAVA API’s and Rest Interface
                  • Client Side Buffering and Process 1 million records using Client side Buffering
                  • HBase Counters
                  • Enabling Replication and HBase RAW Scans
                  • HBase Filters
                  • Bulk Loading and Co processors (Endpoints and Observers with programs)
                  • Real world use case consisting of HDFS,MR and HBASE
                  Module 9: Hive
                  • Hive Installation, Introduction and Architecture
                  • Hive Services, Hive Shell, Hive Server and Hive Web Interface (HWI)
                  • Meta store, Hive QL
                  • OLTP vs. OLAP
                  • Working with Tables
                  • Primitive data types and complex data types
                  • Working with Partitions
                  • User Defined Functions
                  • Hive Bucketed Tables and Sampling
                  • External partitioned tables, Map the data to the partition in the table, Writing the output of one query to another table, Multiple inserts
                  • Dynamic Partition
                  • Differences between ORDER BY, DISTRIBUTE BY and SORT BY
                  • Bucketing and Sorted Bucketing with Dynamic partition
                  • RC File
                  • INDEXES and VIEWS
                  • MAPSIDE JOINS
                  • Compression on hive tables and Migrating Hive tables
                  • Dynamic substation of Hive and Different ways of running Hive
                  • How to enable Update in HIVE
                  • Log Analysis on Hive
                  • Access HBASE tables using Hive
                  • Hands on Exercises
                  Module 10: Pig
                  • Pig Installation
                  • Execution Types
                  • Grunt Shell
                  • Pig Latin
                  • Data Processing
                  • Schema on read
                  • Primitive data types and complex data types
                  • Tuple schema, BAG Schema and MAP Schema
                  • Loading and Storing
                  • Filtering, Grouping and Joining
                  • Debugging commands (Illustrate and Explain)
                  • Validations,Type casting in PIG
                  • Working with Functions
                  • User Defined Functions
                  • Types of JOINS in pig and Replicated Join in detail
                  • SPLITS and Multiquery execution
                  • Error Handling, FLATTEN and ORDER BY
                  • Parameter Substitution
                  • Nested For Each
                  • User Defined Functions, Dynamic Invokers and Macros
                  • How to access HBASE using PIG, Load and Write JSON DATA using PIG
                  • Piggy Bank
                  • Hands on Exercises
                  Module 11: SQOOP
                  • Sqoop Installation
                  • Import Data.(Full table, Only Subset, Target Directory, protecting Password, file format other than CSV, Compressing, Control Parallelism, All tables Import)
                  • Incremental Import(Import only New data, Last Imported data, storing Password in Metastore, Sharing Metastore between Sqoop Clients)
                  • Free Form Query Import
                  • Export data to RDBMS,HIVE and HBASE
                  • Hands on Exercises
                  Module 12: HCatalog
                  • HCatalog Installation
                  • Introduction to HCatalog
                  • About Hcatalog with PIG,HIVE and MR
                  • Hands on Exercises
                  Module 13: Flume
                  • Flume Installation
                  • Introduction to Flume
                  • Flume Agents: Sources, Channels and Sinks
                  • Log User information using Java program in to HDFS using LOG4J and Avro Source, Tail Source
                  • Log User information using Java program in to HBASE using LOG4J and Avro Source, Tail Source
                  • Flume Commands
                  • Use case of Flume: Flume the data from twitter in to HDFS and HBASE. Do some analysis using HIVE and PIG
                  Module 14: More Ecosystems
                  • HUE.(Hortonworks and Cloudera)
                  Module 15: Oozie
                  • Workflow (Action, Start, Action, End, Kill, Join and Fork), Schedulers, Coordinators and Bundles.,to show how to schedule Sqoop Job, Hive, MR and PIG
                  • Real world Use case which will find the top websites used by users of certain ages and will be scheduled to run for every one hour
                  • Zoo Keeper
                  • HBASE Integration with HIVE and PIG
                  • Phoenix
                  • Proof of concept (POC)
                  Module 16: SPARK
                  • Spark Overview
                  • Linking with Spark, Initializing Spark
                  • Using the Shell
                  • Resilient Distributed Datasets (RDDs)
                  • Parallelized Collections
                  • External Datasets
                  • RDD Operations
                  • Basics, Passing Functions to Spark
                  • Working with Key-Value Pairs
                  • Transformations
                  • Actions
                  • RDD Persistence
                  • Which Storage Level to Choose?
                  • Removing Data
                  • Shared Variables
                  • Broadcast Variables
                  • Accumulators
                  • Deploying to a Cluster
                  • Unit Testing
                  • Migrating from pre-1.0 Versions of Spark
                  • Where to Go from Here
                  Apache Spark & Scala Course Syllabus
                    Module 1: Introduction to Spark and Hadoop platform
                    • What is Hadoop platform
                    • Why Hadoop platform
                    • What is Spark
                    • Why spark
                    • Evolution of Spark
                    Module 2: Introduction to Scala
                    • Functional Programing Vs Object Orient Programing
                    • Scalable language
                    • Scala Overview
                    Module 3: SPARK Environment
                    • Configuring Apache Spark
                    Module 4: SCALA Enivronment
                    • JAVA Setup
                    • SCALA Editor
                    • Interprepter
                    • compiler
                    Module 5: Deep Dive into Scala
                    • Benefits of Scala
                    • Language Offerings
                    • Type inferencing
                    • Variables
                    • Functions
                    • LOOPS
                    • Control Structures
                    • Vals
                    • Arrays
                    • Lists
                    • Tuples
                    • Sets
                    • Maps
                    • Traits and Mixins
                    • Classes and Objects
                    • First class functions
                    • Clousers
                    • Inheritance
                    • Sub classes
                    • Case Classes
                    • Modules
                    • Pattern Matching
                    • Exception Handling
                    • FILE Operations
                    Module 6: Deep Dive into Spark
                    • Spark Shell
                    • Parallel Programming
                    • context
                    • RDD
                    • Transformations
                    • Programming with RDD
                    • Actions
                    • Broadcast Variables
                    • Accumulators
                    Module 7: Spark EcoSystem
                    • Spark Streaming
                    • MLlib
                    • GraphX
                    • Spark SQL

                  Placement

                  ACTE Chennai offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.
                  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
                  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
                  • After completion of 70% Big Data Master Programtraining course content, we will arrange the interview calls to students & prepare them to F2F interaction
                  • Big Data Master Program Trainers assist students in developing their resume matching the current industry needs
                  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
                  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

                  Reviews

                  Our ACTE Chennai Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

                  Velachery Reviews

                  H

                  Hari

                       
                  1 day ago ACTE institute in Velachery is one of the best institutes to start your career in Big data master program. ACTE institute helped me build my programming skills.The faculty here is extremely good,the way they make us understand the concepts is really praise worthy.
                  S

                  saran

                       
                  1days ago I had joined this institute with Big Data knowledge but now i have learned a lot and i got placed in MNC.Thanks to all the staff members of ACTE institute for the opportunity and support.I would surely recommend this institute for big data master program course.
                  V

                  varsha

                       
                  3days ago It's a good institute to start your advanced big data.Great institute to learn big data master program.They will give industrial projects to do and staffs are very good in teaching.They took all modules from scratch and explain each and every topic clearly.So you can easily clear interviews.I had great experience there.
                  Y

                  Yazhini

                       
                  4 days ago having less knowledge about Big Data Masters Program but after searching on Internet i found . ACTE Chennai on top. I started my training in . ACTE Chennai and i must say that this is the best decision i have taken in my life. Now i have became professional Big Data Masters Program and doing job in Industry. I thanks ACTE Chennai to make make me this. Thanks alot …
                  K

                  Kamatchi

                       
                  + 5 days ago ACTE institute is the place to be if you want to start your career in data master program.This institute has well trained mentors who strive hard towards helping young individuals build and shape their career.

                  Tambaram Reviews

                  M

                  manivannan

                       
                  1day ago Thank you so much to all the staff members of ACTE isntitute team for all the support which you all gave.Because of you all I am going to start up my career with such a good company - Honeywell.The study environment is very good.It's very good place to learn for those who want to be strong in their technical skills and give a start towards your career .
                  M

                  maran

                       
                  2days ago I will recommend to ACTE institute in Tambaram because of there are highly experienced mentors, they will teach you from the grass root level that anyone can understand.And they are providing good placements in good MNCs as well.
                  R

                  ravi

                       
                  4days ago ACTE institute is the best leading big data institute with good teaching and guidance.They provided lot of placement opportunities.chances of getting placed are more,if you learn and practice really well.This is the best institute to start your advanced data knowledge.I got placed in L&T Technology Services.Thank you ACTE institute.
                  K

                  kanaga

                       
                  5 days ago I would suggest ACTE instituet in Tambaram is the best platform to get yourself trained professionally.After my BE in Dr.Ambedkar Institute of Technology,i joined here.Mentors are very good and cooperative.They give many placement opportunities and i got job in realated technology.
                  D

                  Disha

                       
                  5 days ago In ACTE isntitute they teach from the basics of big data and the teaching staff and the mentors are highly skilled.They guide each and every student.Placement team in ACTE institute is also good.They are very supportive.

                  OMR Reviews

                  M

                  meena

                       
                  1 day ago They give placements all students who join to ACTE institute at OMR.If you have below 60% or if you are not a fresher then also you will get job through ACTE institute.Finally I thank ACTE institute for helping me to build my career.
                  R

                  Roshan

                       
                  2day ago ACTE institute is the best place to get trained in Big Data master program professionally,the faculties are very supportive.I recently got placed in In MNC through ACTE institute and it was like dream come true for me since I got placed in an MNC company.I really thank advanced big data course to improve upon my technical skills required to get placed in an core company .
                  A

                  andrew

                       
                  4 days ago. I recommend to join this Institute to enhance your technical knowledge and get good opportunities.Thank all my teachers and mentors for your support.
                  S

                  sarala

                       
                  4 days ago One of the finest teaching and guidance by professional trainers who had vast experience in this field (company experience and teaching).Frequency of companies visiting for placement is good rest depends upon ones dedication and hardwork.
                  V

                  vishal

                       
                  5days ago The teaching methodology and conceptual foundation laid by the faculties helps understand the concepts in depth.The numerous assignments and projects carried out help in the practical understanding.

                  Annanagar Reviews

                  G

                  ganesh

                       
                  1 day ago I thank the faculty and placement department for their endless support and guidance.If Big Data master program is ur career choice then begin with ACTE institute in Anna nagar!!
                  N

                  nithaya

                       
                  2days ago I joined ACTE institute without any knowledge.The mentors are highly supportive and experienced.I got placed.The assignments and test series were very helpful to crack the written exam and my first interview.Thanks to ACTE institute...
                  K

                  kiran

                       
                  3days ago I got to know about ACTE institute in Anna nagar from my friends.ACTE institute has good faculty and enough placement opportunities too.All the faculty members are so supportive.The ones who are dedicated to become a big data master program expert,this is the best platform.
                  A

                  anbu

                       
                  3days ago ACTE institute is really good in terms of placements if you really want to go in core domain because there are very less chances of getting into big data or other domain as a fresher.
                  S

                  sathyapriya

                       
                  5 days ago ACTE institute is the best Photoshop institute with good teaching.They provided lot of placement opportunities.This is the best institute to start yourmaster program in big data knowledge and to have a practical experience.I got placed. Thank you ACTE institute.

                  Porur Reviews

                  S

                  sanjana

                       
                  1 day ago Hey guys if you are really thinking to work in MNC then ACTE institute in Porur is a right place for you to build your career and to get first job in top leading company.
                  E

                  elavarasan

                       
                  2days ago After my Big data master program training it created confidence in me to write a program as per the requirement and specifications.So,thank you ACTE institute in Porur team.
                  K

                  kamesh

                       
                  3days ago For those who are looking for a career in advanced big data,No matter if you are a Student or a working professional who look for a different career path,I recommend ACTE.Go for it.They Start from the basics and they teach us according to our pace.
                  K

                  Kalai

                       
                  5days ago Got to know about ACTE through Google.I can say this institute has an excellent set of mentors who are real experts and experienced in the big data subjects.The management is also approachable,flexible and provides solution/options for any genuine concerns.
                  D

                  daiz

                       
                  5 days ago ACTE is the best big data master program institute with finest teaching and guidance.Lot of placement opportunities are provided and chances of getting placed are more,if you practice really well.Finally I would like to thank ACTE institute!!

                  Frequently Asked Questions

                  • Those who enroll for Big Data Master Program training at ACTE will be provided with offline and online materials that can be accessed from anywhere around the globe. On the Successful completion of the course everyone is provided with an internationally recognized certificate and We send our candidates for interviews until placed.
                  • Average annual salary after the completion of this course is ₹8,00,000 in India.
                  • ACTE has several branches across the city and the candidate can enroll themselves on the one which is most convenient to them.
                  • At ACTE, we offer the Classroom training and online instructor-led training. Apart from that, we also provide corporate training for enterprises. We believe in practical learning. Our training mode is majorly practical and has proven to benefit our candidates.
                  • Weekend Training Batch (Saturday, Sunday & Holidays)
                  • Seats Available : 8 (maximum)
                  • Regular Batch (Morning, Afternoon & Evening)
                  • Seats Available : 8 (maximum)
                  • Fast Track Batch
                  • Seats Available : 5 (maximum)
                  • Online Training (Flexible timing)
                  • Seats Available : One to One (or) 3 (maximum)

                  Trainers Profile

                  Bigdata Master Program Trainers are
                  • Our Bigdata Master Program Training in Chennai. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
                  • As all Trainers are Bigdata Master Program domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
                  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
                  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
                  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Bigdata Master Program training to the students.
                  • We have received various prestigious awards for Bigdata Master Program Training in Chennai from recognized IT organizations.

                  Top Reason

                  • We are a unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS & National Institute of Education (NIE) Singapore.
                  • Bigdata Master Program Training in Chennai is designed according to the current IT industry
                  • We offer the best Bigdata Master Program Training in Chennai, covering all course modules during Bigdata Master Program Classes. In addition, students take Bigdata Master Program Courses in Chennai through job assistance
                  • The Bigdata Master Program Training in Chennai is scheduled on weekdays, weekends and online Training . In addition, students can choose a customized schedule according to requirements
                  • ACTE has got a collaboration 500+ MNCs and MLCs from the industry, that helps the trainees during their placement.
                  • Our team of instructors are industry experts with more than ten years of training experience.
                  • Mentors train Bigdata Master Program Training in Chennai not only to assist students in implementing live projects, but also to hold a preparatory session for the interview along with community outreach.
                  • The ultra-modern I.T laboratory is equipped with the latest infrastructure. Our laboratory is open 365 days a year. Students, at their discretion, may use the lab to complete projects and practice technical tasks
                  • Our classrooms are equipped with a state-of-the-art I.T infrastructure, such as projectors, racks, Wi-Fi
                  • We offer our students a room with a glass door and a discussion area (conference room) to enhance their learning and learning skills
                  • We also organize valuable seminars on personal development and presentation skills
                  • Our educational material includes ACTE’s student portal access to get the updated course materials, books and copies of didactic material in the form of PDF files, sample documents, Training videos, technical interviews and projects.
                  • Students attending the Bigdata Master Program Training in Chennai may also be located near hostels for their convenience
                  • We help students, at no cost, study, teaching materials, copies of PDF files, video training, sample questions for appropriate certification and interview questions, and lab guides that are available on our site for quick access and also life time access of student portal for course materials in all format
                  • Practical oriented domain specifically training is provided, to suit the needs of the industry Being a corporate training institute, at ACTE, training is provided at its corporate facility having state-of-the-art infrastructure
                  • Trainees at ACTE are provided with unlimited interview calls, untill the time they are placed.
                  • Add on training modules cover soft skills, communication skills, interview based training etc., to ensure the overall development of the trainees.
                  • Our trainers pay you individual attention.To improve students' knowledge of complex technical concepts are passed on through simple training We also Provide Internship for fresher’s with certification. Our certificates are recognized worldwide after the course ends
                  • We accept Master and Visa cards (debit and credit) as well as cash, checks and internet access in payment mode
                  • Office Address

                    ACTE Branches in Chennai are listed here. And most popular locations where students / professionals are lining up to get trained with us.
                    ACTE Velachery No 1A, Sai Adhithya Building, Taramani Link Road, Velachery. Chennai, Tamil Nadu 600042 Landmark: Velachery Main Bus Stand & Next to Athipathi Hospital 93833 99991 / 93800 99996
                    ACTE Tambaram No : 31, Alagesan Street, West Tambaram, Chennai, Tamil Nadu 600045 Landmark: (Backside Tambaram Main Bus Stand & Near Railway Station) 98407 55991 / 95141 99997 / 93613 80760
                    ACTE OMR No 5/337, 2nd Floor, Vinayaga Avenue, Oggiyamduraipakkam, OMR, Near Cognizant & Oggiyamduraipakkam Bus Stop, Chennai, Tamil Nadu 600097 95661 05791 / 95661 05795
                    ACTE Porur No 100/5, 1st Floor, Mount poonamalle Trunk Road, Lakshmi Nagar, Porur, Chennai - 600 116 Landmark: (Next to Saravana Store & Opposite to Porur Water Tank) 91509 10602 / 91509 10603 / 93800 99996
                    ACTE Anna Nagar53-K, 1st Floor, W-Block, 4th Street, Anna Nagar, Chennai - 600 040 Landmark: (Opp to: Kandasamy College / Roundana) 90928 55551 / 90927 99991 / 93613 49873
                    ACTE T. Nagar,No.136, Habibullah Road, T.Nagar, Chennai - 600 017 90928 55551 / 93800 99996 / 90927 99991
                    ACTE AdyarNo.59, Second Street, Padmanabha Nagar, Adyar,Chennai - 600 020 91509 10602 / 93833 99991 / 93800 99996
                    ACTE Thiruvanmiyur 81, Lattice Bridge Road,(Kalki Krishnamoorthy Salai) Thiruvanmiyur, Chennai,Tamil Nadu 600041 Landmark - Opposite to Jeyanthi Theatre 93833 99991 / 93800 99996
                    ACTE Maraimalai NagarNo.37, 1st Floor, No. 51, Thiruvalluvar Salai,NH-1, Maraimalai Nagar, Chennai - 603209 98407 55991 / 95141 99997 / 93613 80760
                    ACTE Siruseri No. 851, Sathya Dev Avenue Extn Street, OMR Road, Egatoor, Navallur, Siruseri Chennai, Tamil Nadu 600130 93833 99991 / 93800 99996
                  • 1

                    Branch Locations

                    ACTE Branches in Chennai are listed below and most popular locations where students / professionals are in just few Kilometers away from below mentioned locations lining up to get Big Data Master ProgramTraining with us.
                    • Big Data Master Program Training in Velachery
                    • Big Data Master Program Training in Tambaram
                    • Big Data Master Program Training in OMR
                    • Big Data Master Program Training in Porur
                    • Big Data Master Program Training in Anna Nagar
                    • Big Data Master Program Training in T.Nagar
                    • Big Data Master Program Training in Adyar
                    • Big Data Master Program Training in Thiruvanmiyur
                    • Big Data Master Program Training in Siruseri
                    • Big Data Master Program Training in Chromepet
                    • Big Data Master Program Training in Kodambakkam
                    • Big Data Master Program Training in Mylapore
                    • Big Data Master Program Training in Guduvanchery
                    • Big Data Master Program Training in Guindy
                    • Big Data Master Program Training in Poonamallee
                    • Big Data Master Program Training in Padi
                    • Big Data Master Program Training in Tiruvottiyur
                    • Big Data Master Program Training in Maraimalar Nagar