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Big Data Hadoop Certification Training in Washington

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  • Beginner & Advanced level Classes.
  • Hands-On Learning in Big Data Hadoop Certification .
  • Best Practice for interview Preparation Techniques in Big Data Hadoop Certification .
  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Affordable Fees with Best curriculum Designed by Industrial Big Data Hadoop Certification Expert.
  • Delivered by 9+ years of Big Data Hadoop Certification Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
  • Next Big Data Hadoop Certification Batch to Begin this week – Enroll Your Name Now!


INR 18000

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08:00 AM & 10:00 AM Batches

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


Weekdays Regular

08:00 AM & 10:00 AM Batches

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


Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session


Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

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Have Cracked Their Dream Job in Top MNC Companies

Learn From Experts, Practice On Projects & Get Placed in IT Company

  • 100% Guaranteed Placement Support for Freshers & Working Professionals
  • You will not only gain knowledge of Big Data Hadoop Certification Certification and advanced concepts, but also gain exposure to Industry best practices
  • Experienced Trainers and Lab Facility
  • Big Data Hadoop Certification Professional Certification Guidance Support with Exam Dumps
  • Practical oriented / Job oriented Training. Practice on Real Time project scenarios.
  • We have designed an in-depth course so meet job requirements and criteria
  • Resume & Interviews Preparation Support
  • Concepts: High Availability, Big Data opportunities, Challenges, Big Data Hadoop Certification Distributed File System (HDFS), Map Reduce, API discussion, Hive, Hive Services, Hive Shell, Hive Server and Hive Web Interface, SQOOP, H Catalogue, Flume, Oozie.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
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Course Objectives

    Big Data Hadoop skills are in demand – this is an undeniable fact! Hence, there is an urgent need for IT professionals to keep themselves in trend with Big Data Hadoop and Big Data technologies. Apache Big Data Hadoop provides you with means to ramp up your career and gives you the following advantages: Accelerated career growth.
    Big Data Hadoop is the supermodel of Big Data. If you are a Fresher there is a huge scope if you are skilled in Big Data Hadoop. The need for analytics professionals and Big Data architects is also increasing . Today many people are looking to pursue their big data career by grabbing big data jobs as freshers.
    Even as a fresher, you can get a job in Big Data Hadoop domain. It is definitely not impossible for anyone to land a job in the Big Data Hadoop domain if they invest their mind in preparing and putting their best effort in learning and understanding the Big Data Hadoop concepts.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for Big Data Hadoop. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
    A Big Data Hadoop Cluster uses Master-Slave architecture. It consist of a Single Master (NameNode) and a Cluster of Slaves (DataNodes) to store and process data. Big Data Hadoop is designed to run on a large number of machines that do not share any memory or disks. These DataNodes are configured as Cluster using Big Data Hadoop Configuration files. Big Data Hadoop uses a concept of replication to ensure that at least one copy of data is available in the cluster all the time. Because there are multiple copy of data, data stored on a server that goes offline or dies can be automatically replicated from a known good copy.
  • To learn Big Data Hadoop and build an excellent career in Big Data Hadoop, having basic knowledge of Linux and knowing the basic programming principles of Java is a must. Thus, to incredibly excel in the entrenched technology of Apache Big Data Hadoop, it is recommended that you at least learn Java basics.
  • Learning Big Data Hadoop is not an easy task but it becomes hassle-free if students know about the hurdles overpowering it. One of the most frequently asked questions by prospective Big Data Hadoopers is- “How much java is required for Big Data Hadoop”? Big Data Hadoop is an open source software built on Java thus making it necessary for every Big Data Hadooper to be well-versed with at least java essentials for Big Data Hadoop. Having knowledge of advanced Java concepts for Big Data Hadoop is a plus but definitely not compulsory to learn Big Data Hadoop. Your search for the question “How much Java is required for Big Data Hadoop?” ends here as this article explains elaborately on java essentials for Big Data Hadoop.
    Apache Big Data Hadoop is an open source platform built on two technologies Linux operating system and Java programming language. Java is used for storing, analysing and processing large data sets. Big Data Hadoop is Java-based, so it typically requires professionals to learn Java for Big Data Hadoop. Yes, you can learn Big Data Hadoop, without any basic programming knowledge . The only one thing matters is your dedication towards your work. If you really want to learn something, then you can easily learn. It also depends upon on which profile you want to start your work like there are various fields in Big Data Hadoop.

Will I Be Given Sufficient Practical Training In Big Data Hadoop Online Training in Washington?

    Our course ware is designed to give a hands-on approach to the students in Big Data Hadoop. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.

Is it worth learning Big Data Hadoop Course?

    Yes It is worth , Future will be bright. Learning Big Data Hadoop will definitely give you a basic understanding about working of other options as well. Moreover, several organizations are using Big Data Hadoop for their workload. So there are lot of opportunities for good developers in this domain. Indeed it is! No Learning Big Data Hadoop is not very difficult. Big Data Hadoop is a framework of java. Java is not a compulsory prerequisite for learning Big Data Hadoop. Big Data Hadoop is an open source software platform for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware.

How long would it take to learn Big Data Hadoop?

    Big Data Hadoop framework can be coded in any language, but still, Java is preferred. For Big Data Hadoop, the knowledge of Core Java is sufficient, and it will take approximately 5-9 months. Learning Linux operating system: - It is recommended to have a basic understanding and working of the Linux operating system.

Top reasons to consider a career in Big Data Hadoop Training in Washington?

    Big Data Hadoop brings in better career opportunities in 2015. Learn Big Data Hadoop to pace up with the exponentially growing Big Data Market. Increased Number of Big Data Hadoop Jobs. Learn Big Data Hadoop to pace up with the increased adoption of Big Data Hadoop by Big data companies.
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Overview of Big Data Hadoop Certification Training in Washington

The Big Data Hadoop certification training is designed to give you a comprehensive understanding of the Big Data framework using Hadoop and Spark. You will use Integrated Lab to complete real-world, industry-based projects in this hands-on Hadoop course. The Big Data Hadoop training programme, which includes 14 real-time industry-oriented case-study projects, will help you master Big Data Hadoop and Spark in preparation for the Cloudera CCA Spark and Hadoop Developer Certification (CCA175) exam, as well as Hadoop Administration.You will learn how to use MapReduce, Hive, Pig, Sqoop, Oozie, and Flume, as well as work with Amazon EC2 for cluster setup, Spark framework and RDD, Scala and Spark SQL, Machine Learning with Spark, Spark Streaming, and other tools in this Big Data course.

Additional Info


The Big Data course is designed by industry experts with over ten years of experience and covers in-depth knowledge of Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, and Pig. You will work on real-world industry use cases in Retail, Social Media, Aviation, Tourism, and Finance during this online instructor-led live Big Data Hadoop certification training. It is a comprehensive Hadoop Big Data training course designed by industry experts to assist you in learning Big Data Hadoop and Spark modules while keeping current industry job requirements in mind.This is an industry-recognized Big Data Hadoop certification training course that combines Hadoop developer, Hadoop administrator, Hadoop testing, and analytics training courses with Apache Spark training. This Cloudera Hadoop and Spark training will prepare you for the Cloudera CCA175 Big Data certification exam.

Choosing a Career:

  • According to the results of the 2017 Stack Overflow Survey, Hadoop is the most popular and well-liked Big Data framework ( Survey Link).
  • This is only possible because individuals from various IT backgrounds saw Hadoop as a potential career path and wish to change.
  • Whatever your current IT position is, the transition to a career in the Hadoop world will be straightforward.
  • Here are a few well-known examples:

  • As a Software Developer, Hadoop Data Developer works with various Hadoop abstraction SDKs and derives value from data (Programmer).
  • So you know how to use SQL, right? Data Analyst.
  • Working on SQL engines such as Hive or Impala is a huge opportunity in Hadoop:

  • Analyst, Business:Organizations are attempting to become more profitable through the use of massive amounts of data, and the role of a business analyst is critical in this.
  • ETL Programmer:You can easily transition from traditional ETL to Hadoop ETL using Spark tools if you are a traditional ETL developer.
  • Testers:Testers are in high demand in the Hadoop world.This role is open to any tester who understands the fundamentals of Hadoop and data profiling.Professionals in business intelligence and data warehouse can easily transition from Hadoop Data Architecture to Data Modeling.
  • Senior IT personnel:A senior professional with a thorough understanding of the domain and existing data challenges can become consultants by learning how Hadoop is attempting to address these issues.
  • There are generic roles like Data Engineers or Big Data Engineering that are in charge of implementing solutions, primarily on top of Cloud vendors. If you learn about the data components that the cloud provides, this will be a promising role.

The following are the objectives of Hadoop Certification:

  • It's critical to make sure you get the most out of it and that the curriculum covers the most recent Apache Hadoop topics.
  • For example, by the end of the course, you should have mastered the Apache Hadoop concepts listed below.
  • Learn about Hadoop's Distributed File System and the MapReduce framework.
  • Learn how to load data using Sqoop and Flume.
  • Learn how to write complex MapReduce programmes.
  • Perform data analytics with Pig and Hive.
  • Understand the ZooKeeper service completely.
  • Implement best practises for Hadoop development and debugging.
  • Set up a Hadoop cluster.
  • MapReduce programming (both MRv1 and MRv2).
  • Programming with YARN (MRv2).
  • HBase, MapReduce Integration, Advanced Usage, and Advanced Indexing are all recommended.
  • Hadoop 2.0 introduces new features such as YARN, HDFS Federation, and NameNode High Availability.
  • Set up a Hadoop project.

Key Characteristics:

1. Lifetime access to self-paced content.

2. The level of interaction in live online classes taught by industry experts is 8X higher.

3. four real-world industry projects that make use of Hadoop, Hive, and the Big Data stack.

4. Training for Yarn, MapReduce, Pig, Hive, HBase, and Apache Spark.

5. The Cloudera CCA175 certification exam is in sync.

The Benefits of Big Data Hadoop Certification:

  • Recruiters and job postings are looking for Hadoop certified candidates.
  • This is a significant advantage over a candidate who is not certified in Hadoop.
  • It gives you an advantage over other professionals in the same field in terms of remuneration.
  • Hadoop Certification can help you advance your career and move up the ladder during IJPs.
  • Advantageous for People from a variety of technical backgrounds are attempting to make the transition to Hadoop.
  • Validates your hands-on Big Data experience.
  • This test ensures that you are current on the most recent Hadoop features.
  • The certification allows me to speak more confidently about this technology at my company when networking with other companies.

Responsibilities and Roles:

  • The primary responsibility of a Hadoop Developer is to code. They are essentially software developers who specialise in Big Data Hadoop.
  • They excel at creating design concepts that are used in the creation of large software applications. They are computer programming language experts.
  • As a Hadoop Developer, you will be responsible for the following tasks:

  • Learn about the agile software development methodology.
  • Designing, developing, documenting, and architecting Hadoop applications are all part of the process.
  • Manage and monitor Hadoop log files.
  • Make MapReduce code that works well on Hadoop clusters.
  • SQL, NoSQL, data warehousing, and DBA experience are required.
  • Learn about cutting-edge concepts like Apache Spark and Scala programming.
  • Learn everything you can about the Hadoop ecosystem and Hadoop Common.
  • Transform difficult-to-understand technical specifications into outstanding designs.
  • Create web services to enable fast data tracking and high-speed data queries.
  • Prototype software is tested, standards are proposed, and they are implemented smoothly.

Certification of Big Data Hadoop Training:

  • This Big Data training course is designed to help you pass the Cloudera Spark and Hadoop Developer Certification (CCA175) exams.
  • The entire training course content is aligned with these certification programmes, allowing you to easily pass these exams and land the best jobs in the top MNCs.
  • You will work on real-time projects and assignments that have huge implications in real-world industry scenarios as part of this training, allowing you to easily advance your career.
  • At the end of this Big Data training programme, there will be quizzes that will perfectly reflect the type of questions asked in the respective certification exams and will help you score higher.
  • The ACTE Course Completion Certificate will be awarded after completing the project work (after expert review) and scoring at least 60% on the quiz.
  • Top 80+ MNCs recognise Intellipaat certification, including Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, and others.

Who is Eligible to Begin a Big Data Hadoop Course:

What is the most efficient method for learning Hadoop?

ACTE's Big Data Hadoop Certification training is intended to help you learn and master the entire Hadoop ecosystem. By providing an industry relevant course catalogue, we ensure that the learning is in line with how the technology is being used in the market today. For more hands-on experience, we also have real-time projects for our students to work on. With our cloud lab implementation, we provide the ideal environment for all learners to gain as much practical experience as possible.

What are the prerequisites for gaining knowledge of Hadoop Big Data?

The Big Data Course has no such prerequisites. Prior knowledge of Core Java and SQL is preferred but not required. In addition, if you enrol in the Big Data Course, ACTE will provide you with a free self-paced course on "Java essentials for Hadoop."

How long does it take to learn Hadoop?

ACTE's Big Data Hadoop certification training will help you master the technology's concepts and practical applications in just one month. If you have dedicated resources and a never-say-die attitude, you can master the technology in one month.

What is the best way for newcomers to get started with Hadoop?

The first step is always the most crucial and difficult to take. We understand that in order to become certified, you must first learn more about the technology. On our YouTube channel and blogs, we have a plethora of tutorials on the Hadoop ecosystem. These tutorials will teach you everything you need to know to begin using Hadoop.


1. A Hadoop Developer's salary in India is primarily determined by a candidate's educational credentials, skill set, work experience, company size and reputation, and job location.

2. Candidates with a postgraduate degree, for example, can expect to earn Rs. 4 – 8 LPA as a starting salary.

3. Salaries for senior-level Hadoop Developers (with more than 15 years of experience) are typically very high, ranging from Rs. 28 – 50 LPA or more.

4. The global Hadoop Big Data market is expected to grow at a CAGR of 43 percent from $4.91 billion in 2015 to $40.69 billion by 2021.

5. This suggests that the demand for Hadoop Developers will rise in the near future.

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Key Features

ACTE Washington offers Big Data Hadoop Certification 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.



Syllabus of Big Data Hadoop Certification Course in Dallas
Module 1: Introduction to Big Data Hadoop Certification
  • 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 Big Data Hadoop Certification
  • Big Data Hadoop Certification Distributed File System
  • Comparing Big Data Hadoop Certification & SQL
  • Industries using Big Data Hadoop Certification
  • Data Locality
  • Big Data Hadoop Certification Architecture
  • Map Reduce & HDFS
  • Using the Big Data Hadoop Certification single node image (Clone)
Module 4: Big Data Hadoop Certification Distributed File System (HDFS)
  • HDFS Design & Concepts
  • Blocks, Name nodes and Data nodes
  • HDFS High-Availability and HDFS Federation
  • Big Data Hadoop Certification 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 Big Data Hadoop Certification 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 Big Data Hadoop Certification Configuration API discussion
  • Emulating “grep” for searching inside a file in Big Data Hadoop Certification
  • DBInput Format
  • Job Dependency API discussion
  • Input Format API discussion,Split API discussion
  • Custom Data type creation in Big Data Hadoop Certification
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
  • 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
  • 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
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Need customized curriculum?

Hands-on Real Time Big Data Hadoop Certification Projects

Project 1
Customer churn analysis –Telecom Industry

The project involves tracking consumer complaints registered on various Platforms.

Project 2
UBER Projects

Determine dynamic pricing based on traffic congestion, Spark Streaming and Cassandra.

Our Top Hiring Partner for Placements

ACTE Washington 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 Hadoop Certification training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Big Data Hadoop Certification 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

Get Certified By MapR Certified Big Data Hadoop Certification Developer (MCHD) & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

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About Experienced Big Data Hadoop Certification Trainer

  • Our Big Data Hadoop Certification Training in Washington. 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 Big Data Hadoop Certification 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 Big Data Hadoop Certification training to the students.
  • We have received various prestigious awards for Big Data Hadoop Certification Training in Washington from recognized IT organizations.

Big Data Hadoop Certification Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Big Data Hadoop Certification training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Big Data Hadoop Certification Course At ACTE?

  • Big Data Hadoop Certification Course in ACTE is designed & conducted by Big Data Hadoop Certification experts with 10+ years of experience in the Big Data Hadoop Certification domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Big Data Hadoop Certification batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Big Data Hadoop Certification . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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