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Big Data Hadoop Certification Training in Seattle

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  • The Industrial Big Data Hadoop Expert has Developed an Extremely Suitable Curriculum.
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  • Next Big Data Hadoop Certification Batch to Begin this week – Enroll Your Name Now!


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Upcoming Batches


Weekdays Regular

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

Get Train Our with Big Data Hadoop Certification Course in Seattle

  • ACTE Training will provide the best Big Data Hadoop construction at an lower priced rate and with 100% placement help.
  • We offer Big Data Hadoop lessons for college kids and professionals, in addition to company Big Data Hadoop Training Seattle.
  • Our Big Data Hadoop Experts are greater than 12+years of enjoy on this field.
  • This course will cover MapReduce, Swoop, Oozie, Hive, Amazon EC2, Flume Scala, RDD, Spark framework, Spark Streaming, Machine learning with Spark, and many more subjects.
  • During the Big Data Hadoop Online Training in Seattle course, you'll also receive hands-on experience with numerous industrial use cases and prepare for your certification test.
  • 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
  • Enroll Now

Course Objectives

    Hadoop is an Apache project (open-source software) for storing and processing large amounts of data. Hadoop is a distributed and fault-tolerant Big Data storage system that runs on commodity hardware. After then, Hadoop technologies are used to process data in parallel over HDFS (Hadoop Distributed File System).

    As businesses recognise the value of Big Data Analytics, there is a high need for Big Data and Hadoop experts. Companies seek Big Data & Hadoop specialists who are familiar with the Hadoop Ecosystem and best practises for HDFS, MapReduce, Spark, HBase, Hive, Pig, Oozie, Sqoop, and Flume.

  • Comprehensive understanding of Hadoop Ecosystem technologies such as Pig, Hive, Sqoop, Flume, Oozie, and HBase.
  • The ability to use Sqoop and Flume to feed data into HDFS and analyse big datasets stored there.
  • Deep understanding of Hadoop and Big Data, including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), and MapReduce.
  • The opportunity to work on a variety of real-world industry-based projects in  CloudLab.
    Hadoop Certification can assist you with moving your occupation and move up the stepping stool during IJPs. Profitable for People from an assortment of explicit foundations are endeavoring to carry out the improvement to Hadoop. Scouts and occupation postings are searching for Hadoop guaranteed contenders. This is a colossal benefit over a not affirmed competitor Hadoop. It gives you a benefit over different experts in a practically identical field like pay.

To take advantage of these possibilities, you need a coordinated Hadoop Training Course with the latest instructive arrangement as indicated by current industry necessities and best practices. Other than a strong theoretical understanding, you need to manage diverse authentic gigantic data projects using unmistakable Big Data and Hadoop gadgets as a piece of plan method.

Also, you need the heading of a Hadoop ace who is thinking correctly now working in the business on obvious Big Data undertakings and researching regular challenges while executing them. Which would all be able to be acquired from the Big Data Hadoop Course.

Big Data Hadoop Training focuses to pass on the quality setting up that covers solid significant data on focus thoughts with a sensible approach. Such receptiveness to the current business use-cases and circumstances will help understudies with expanding their capacities and perform continuous endeavors with the endorsed systems. Our expert real-time trainer will make you knowledgeable by teaching end-to-end concepts of Big data Hadoop. In this course, you will gain an overall knowledge of areas such as MapReduce, Sqoop, Oozie, Hive, Amazon EC2, Flume Scala, RDD, Spark framework, Spark Streaming, Machine learning using Spark, and a lot more other topics. During this training, you will also work with different industry use cases and be prepared for clearing your certification exam.
    The Big Data Hadoop Certification is designed to fulfill the growing demand for data expertise. This certification training course is ideal for data scientists and analysts since it gives them the real-world skills they need to succeed in the data analytics field. Learners can concentrate on improving their data systems and big data analytics skills to improve their job prospects. Courses in Big Data Hadoop certification will help workers keep up with the growing need for data analytics and data processing in a variety of industries.
ACTE has been totally attracted with 100% Job Placement Assistance as a worth-added execution in the Technical Program. With the assistance of an unquestionable level arranging enlightening system and advancing business projects, we have a strong and making Job Placement and Path Record. Head Preparation ensures that our sets can do unhesitatingly in Interviews even it was their First Interview.

What are some of the Advantages of Seattle Big Data Hadoop Training?

Hadoop is an Apache project (for instance an open-source programming) to store and manage Big Data. Hadoop stores Big Data in an appropriated and weakness liberal way over item gear. Some time later, Hadoop gadgets are used to perform equivalent data taking care of over HDFS (Hadoop Distributed File System).

As affiliations have perceived the benefits of Big Data Analytics, so there is a tremendous interest for Big Data and Hadoop specialists. Associations are looking for Big data and Hadoop experts with the data on Hadoop Ecosystem and best practices about HDFS, MapReduce, Spark, HBase, Hive, Pig, Oozie, Sqoop and Flume. You can procure these capacities with the Big Data Course.

How will be the Career Opportunities With Big Data Hadoop Certification?

    Big Data career opportunities are on the rise, and Hadoop is quickly becoming a Must-know technology for the following professionals:
  • Software Developers and Architects
  • Analytics Professionals
  • Data Management Professionals
  • Business Intelligence Professionals
  • Project Managers
  • Aspiring Data Scientists

What are the Prerequisites to learn Big Data Hadoop?

There are no pre-requisites to take up the Big Data Hadoop Administrator certification course. However, a basic understanding of mathematics and statistics is beneficial prior to starting this course. Specialists going into Big Data Hadoop insistence getting ready should have a principal appreciation of Core Java and SQL. If you wish to survey your Core Java capacities, Simplilearn offers a free independent course Java fundamentals for Hadoop as a component of the course plan.

Could i get a Opportunity to Work on Real Time Projects during Big Data Hadoop Course?

Can a Big Data Hadoop Expert Makes a High Pay on Average?

A Hadoop Developer in Seattle is fundamentally compelled by an up-and-comer's useful abilities, the extent of limits, work understanding, affiliation size and notoriety, and occupation region. Pay for senior-level Hadoop Developers are commonly high, the overall Hadoop Big Data market is depended upon to create at a CAGR of 43% from $4.91 billion out of 2015 to $40.69 billion in forthcoming years.
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Overview of Big Data Hadoop Certification Training in Seattle

ACTE's comprehensive Big Data course is selected by industry professionals with over 11+Years of experience, and it includes an in-depth understanding of Big Data and Hadoop Ecosystem technologies including HDFS, YARN, Map Reduce, Hive, and Pig. Using ACTE Cloud Lab, you will work on real-life industry use cases in the Retail, Social Media, Aviation, Tourism, and Finance sectors during this online instructor-led live Big Data Hadoop certification program. Our Big Data Online Training is nicely ready with lab centers and the Best infrastructure for offering you real-time Training revel in. We additionally offer a Big Data Certification Training program.

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Key Features

ACTE Seattle 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 Seattle
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
<strongclass="streight-line-text"> 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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Hands on Real-Time Big Data Hadoop Certification Projects

Project 1
Analyze Crime Rates

It finds patterns in the crimes to help the agencies in predicting future events and helps them in mitigating.

Project 2
Tourist behavior analysis

It analyzes the tourist behavior to identify tourist interests and most visited locations accordingly.

Project 3
Text Mining Project

This project performs the text analysis and visualization for the provided documents.

Project 4
Health status prediction

This project is designed to predict the health status based on massive datasets.

Our Top Hiring Paretner for Placements

    ACTE provides placement possibilities to all students and experts who have finished our Big Data Hadoop Certification Training in Seattle, whether in-person or online. Many of our scholars work at the organizations listed below.
  • All learners who finish our online certification training at a higher level are qualified for ACTE placement in India's top MNCs.
  • You will profit from Salesforce Certification and the sources listed above, but you will also be linked to the greatest systems.
  • ACTE Course components worked with steeple teams from Accenture, Google, CTS, and other companies. It broadens the scope of our students' activities at top MNC corporations in Seattle.
  • Our learner portals have been designated for the organization. As we discussed, you will bring all interview registrants right here.
  • We may conduct an interview section with our learners and move them to Face to Face Communication when they have completed 50% of the Training route material.
  • Students are encouraged by their teachers to enhance their resumes to suit the demands of today's companies.
  • We have a Specialist Service guide crew wing that helps Learners become inducted according to their needs.
  • When the Training Course is completed, the ACTE Placement Team organizes a group discussion on the topic, and exams and conferences must be organized to evaluate the Candidate's ability.

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.

Get Certified

About Experienced Big Data Hadoop Trainers

  • ACTE Big Data Hadoop Training Trainers have over ten years of Big Data Hadoop experience and have worked for several MNCs in Seattle.
  • Our Trainers analyze the Beginners' existing ability level and build intentions based on that knowledge.
  • Several accolades have been bestowed upon our Institute, including Best Online Training (National/Regional), Best Corporate Training Program (National/Regional), and others.
  • The Instructor evaluates the novices' progress and advises them on areas where they may improve.
  • ACTE Tutors have exceptional organizational skills since they constantly check several schedules and reliability in each topic.
  • Our Instructor may be essential to assist Learners in gaining the main specialized issue area throughout the course.
  • Our Teachers are institutional leaders with at least ten years of experience who are always learning and improving as individuals.

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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