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Big Data Master Program in Siruseri 130
Batch Schedule
Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session
- 20-May-2024 Starts Coming Monday ( Monday - Friday) 08:00 AM
- 15-May-2024 Starts Coming Wednesday ( Monday - Friday) 08:00 AM
Weekend Regular (Class 3Hrs) / Per Session
- 18-May-2024 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
- 18-May-2024 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM
Big Data Master Program in Siruseri 130
Big Data Master Program Training at Tambaram, Chennai. This program follows a term structure with 4 core courses. It makes you an proficient in key technologies related to Big Data. Business moves smarter, more efficient operations , higher profits and happier customers. Each of these papers solves a practical problem and demonstrates the utility of Big Data in helping organizations deliver better information their customers to improve their decision-making processes.Big data master program Training institute at Tambaram, Chennai.At the end of each core course, you will be working on a real-time project to gain hands-on expertise. By the conclusion of the program, you will be ready for seasoned Big Data job roles.
Relational and transactional databases based on SQL language have clearly dominated the market of data storage and data manipulation over the past 20 years.Today’s business enterprises owe a huge part of their achievement to an economy that is firmly knowledge-oriented. As the word recommand Data Analytics refers to the techniques to analyze data to enhance productivity and business gain. We at ACTE provide Big data Master program Training Course in Tambaram, Chennai.
Our Big Data Master Program course will give hands-on experience to you to meet the demands of industry needs. ACTE trainer will be handled in either weekday or weekends programme depends on candidate requirement.We do offers for Big data master program Training course at Tambaram, Chennai. We provide 200+ technologies with a modern syllabus. ACTE institute at Tambaram with the MNC's people as a Trainer, for Fastrack Big data master program training and after completion of the course providing 100 % placement.
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Classroom Batch Training -
One To One Training -
Online Training -
Customized Training
Key Features
ACTE Tambaram 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 SyllabusModule 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
- 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
- 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 AWSProtect your AWS by different authentication system
- Password policies set for users
- AWS User Account and Groups in detail
- Creating custom policies in AWSIntroduction 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 InstanceDescribe 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-scalingGet 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 BalancingIntroduction 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 CloudUnderstanding 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 FrontDescribing cloud front
- Creating a cloud front distribution
- Hosting a website of cloud front distribution
- Implementing global restrictions
- Configuring origins and behaviors
- Route53Describe Hosted zones and Domain name understanding
- How to create hosted zones
- Hosting a website with custom domain name
- Understanding routing policies
- AWS Security ManagementDescribing 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 DBAdding data manually
- Learn about strong and eventual consistency
- Calculating Read write consistency
- Configuring alarms
- Monitoring ServicesKnowledge 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 OverviewWhat is SNS
- Creating a topic
- Create subscription
- Subscribed to the subscription
- SQS & SES
- Lambda and Elastic Beanstalk
- AWS TroubleshootingTroubleshooting EC2 instance
- Troubleshooting using Cloud watch
- Troubleshooting using ELB
- Troubleshooting by using Cloud front
- AWS Architecture and DesignBackup and Disaster Recovery
- How to manage Disaster Recovery and Backups
- Best Practice for DR and Backups
- AWS High Availability Design
- DevOps FundamentalsAn 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 ServicesPre-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 AWSMigrating 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 AWSMigrating 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 ServicesDocker 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 SFTPPurpose of Storage Gateway
- Snowball & Snowball edge services
- Direct Connect tool usage
- 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
- Understanding the Streaming Architecture – DStreams and RDD batches Receivers
- Common transformations and actions on DStreams
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
- Console Logon
- Controlling Console Login
- Virtual Consoles
- Serial Login
- Remote Login
- ssh Login
- Kernel Versions
- Kernel Source Files
- Kernel Patch Files
- Kernel Configuration
- Kernel Building
- Testing a New Kernel
- Partition Types
- Filesystem Types
- Mounting
- Automount
- File Types
- File Security
- Boot Files
- User Files
- Administrator Files
- Configuration Files
- Log Files
- Process Info
- Kernel Config Info
- Hardware Info
- Changing /proc Info
- Sysctl
- Key /bin Commands
- Key /sbin Commands
- History
- man and info
- vi
- Using Shell Scripts
- Users and Groups
- Home Directories
- Password Files
- PAM
- Quotas
- NIS Intro
- tar Files
- Patch Files
- RPM
- Types of Devices
- /dev Namespace
- Modules
- Types of Network Devices
- Monitoring Network Devices
- Controlling Network Services
- xinted
- iptables
- DHCP
- DNS
- SSH
- FTP
- NFS
- Samba
- Sendmail
- Apache
- Squid Proxy Server
- X Servers and X Clients
- XFree86
- X Fonts
- GTK and KDE
BigData Hadoop Course Syllabus Module 1: Introduction to Hadoop
- High Availability
- Scaling
- Advantages and Challenges
- What is Big data
- Big Data opportunities,Challenges
- Characteristics of Big data
- Hadoop Distributed File System
- Comparing Hadoop & SQL
- Industries using Hadoop
- Data Locality
- Hadoop Architecture
- Map Reduce & HDFS
- Using the Hadoop single node image (Clone)
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- HCatalog Installation
- Introduction to HCatalog
- About Hcatalog with PIG,HIVE and MR
- Hands on Exercises
- 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
- HUE.(Hortonworks and Cloudera)
- 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)
- 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
- Functional Programing Vs Object Orient Programing
- Scalable language
- Scala Overview
- Configuring Apache Spark
- JAVA Setup
- SCALA Editor
- Interprepter
- compiler
- 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
- Spark Shell
- Parallel Programming
- context
- RDD
- Transformations
- Programming with RDD
- Actions
- Broadcast Variables
- Accumulators
- Spark Streaming
- MLlib
- GraphX
- Spark SQL
Placement
ACTE Tambaram 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 Program training 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 I am from Velachery.If you want to work in big data related then ACTE institute is the best place.I have got placed. Thank you ACTE institute.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
Prabha
5 days ago ACTE shares the documents for practicals concepts ppt prepared by him and also the video recording of the classes for future reference. Before every class invests some time in a quick review of what was done in last class and clarifys your doubt .I would say one of the food place for BIg Data pgm trainingFrequently Asked Questions
- The minimum requirement for an Big Data Master Program Training is a bachelor’s degree — preferably in a subject like computer science, information technology, or computer information systems. These degree programs typically cover topics along the lines of data structure and mining, distributed systems, web page applications, and database management.
- ACTE is offering the 24/7 query resolution and you can raise your doubts with the dedicated support team anytime. You can also avail the email support for all your queries. One-to-one sessions with the trainers is also available for doubt clarification. Another benefit of ACTE is you can ask for support even after completion of the training. We also do not put a limit for students to raise doubt when it comes to query resolution and doubt clearance.
- "You will never miss a lecture at ACTE! You can choose either of the two options:
- View the recorded session of the class available in your LMS.
- You can attend the missed session, in any other live batch."
- ACTE Job Assistance program will help you land in your dream job by sharing your resume to potential recruiters and assisting you with resume building, preparing you for interview questions. ACTE training should not be regarded either as a job placement service or as a guarantee for employment as the entire employment process will take part between the learner and the recruiter companies directly and the final selection is always dependent on the recruiter.
- Online Training
- Classroom training
- One-one training
- Self-paced training
- ACTE provides real-world projects as part of the training program that is updated and most relevant one. This kind of project will help you to implement the learning that you acquired in a real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning and practical knowledge thus making you completely industry-ready. You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. Upon successful completion of the projects your skills will be considered equal to six months of rigorous industry experience.
- Those who enroll for Big Data Master Program Training 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.
- You will receive ACTE Technology Globally recognized course completion certificate.
- We train professionals and nonprofessionals who have a keen eye to jump into Big Data Master Program Training and take it as part of their career to reach the next level.
- Once you complete the ACTE training program along with all the real-world projects, quizzes and assignments and upon scoring at least 60% marks in the qualifying exam; you will be awarded the ACTE verified certification. This certificate is very well recognized in ACTE affiliate organizations which include over 80 top MNCs from around the world which are also part of the Fortune 500 list of companies.
- ACTE has several branches across the city and the candidate can enroll themselves on the one which is most convenient to them. Our entire branch contains well expert trainers for training you.
- ACTE Has separate placement cells for placing completed candidate. ACTE actively provides placement assistance to all learners who have successfully completed the training. For this we are exclusively tied-up with over 80 top MNCs from around the world. This way you can be placed in outstanding organizations. We also help you with the job interview and résumé preparation part as well.
- All trainers at ACTE have 12+ years of relevant industry experience and they have been actively working as consultants in the same domain making them subject matter experts.
- You can definitely make the switch from self-paced to online instructor-led training by simply paying the extra amount and joining the next batch of the training which shall be notified to you specifically.
- 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 Tambaram, 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 Tambaram, 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 Tambaram, Chennai is designed according to the current IT industry
- We offer the best Bigdata Master Program Training in Tambaram, Chennai, covering all course modules during Bigdata Master Program Classes. In addition, students take Bigdata Master Program Courses in Tambaram, Chennai through job assistance
- The Bigdata Master Program Training in Tambaram, 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 Tambaram, 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 Tambaram, 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 trainingWe 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
Student Interested
- Data Science Master Program
- Java Master Program
- Freshers Masters Program & Placement
- Cloud Computing Master Program
- Web Design & PHP Development Master Program
- Big Data Master Program
- DevOps Master Program
- Software Testing Master Program
- Full Stack Master
- Business Intelligence Master Program
- Oracle
- SAP
- Server Maintenance
- Python Master Program
Office Address
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 Program Training with us.- Big Data Master Program Training in Anna Nagar
- Big Data Master Program Training in Kelambakkam
- Big Data Master Program Training in Tambaram
- Big Data Master Program Training in Porur
- Big Data Master Program Training in Kalpakkam
- Big Data Master Program Training in Velachery
- Big Data Master Program Training in Kanathur
- Big Data Master Program Training in OMR
- Big Data Master Program Training in Siruseri
- Big Data Master Program Training in Medavakkam
- Big Data Master Program Training in T.Nagar
- Big Data Master Program Training in Pallikaranai
- Big Data Master Program Training in Adyar
- Big Data Master Program Training in Thiruvanmiyur
- Big Data Master Program Training in Vandalur
- Big Data Master Program Training in Sithalapakkam
- Big Data Master Program Training in Maraimalai Nagar
- Big Data Master Program Training in Thiruporur