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Big Data Hadoop Certification Training in San Francisco

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  • Obtain Tutored Novice & Top level Classes.
  • Big Data Hadoop Training Immersive hands-on training.
  • Delivered by 12+ years of Big Data Hadoop Certified Expert.
  • 12402+ Students Trained & 350+ Recruiting Clients.
  • Persistence Way to Student’s Portal, Videos & Top MNC Interview Question.
  • Repetitious effective curricula Designed by Industrial Big Data Hadoop.
  • Most restorative Preparation for interview Preparation Techniques in Big Data Hadoop.
  • Next Big Data Hadoop Certification Batch to Begin this week – Enroll Your Name Now!

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INR 14000

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  • Case Studies and Projects 8+

  • Hours of Training 45+

  • Placement Assurance 100%

  • Expert Support 24/7

  • Support & Access Lifetime

  • Certification Yes

  • Skill Level All

  • Language All

Get Train Our with Big Data Hadoop Certification Course in San Francisco

  • This Big Data Hadoop course in port of entry is intended by SMEs World Health Organization can teach you the foremost up-to-date technologies and techniques employed in the large knowledge sector, like Hive, Scala, Spark SQL, Machine Learning with Spark, and so on, utilizing real-world applications. you may have access to technical help twenty four hours daily, seven days per week throughout this high Hadoop Training in port of entry.
  • ACTE Big Data Hadoop Training in the port of entry teaches you ways to become an undefeated Big Data Hadoop knowledgeable by providing an associate in-depth understanding of the large knowledge framework, similarly as topics like Hadoop, shell commands in Hadoop, Spark, Sqoop, Hadoop distributed filing system, MapReduce, Hive, and so on.
  • This Big Data Hadoop course is intended to assist you clear the Cloudera Spark and Hadoop Developer Certification (CA175) exams.
  • The entire course content is in line with these certification programs and helps you clear these certification exams with ease and obtain the simplest jobs within the high MNC.
  • Through ACTE, you will act along with your peers across all categories and batches and even our alumni. Collaborate on comes, share job referrals & interview experiences, contend with the simplest, create new friends – the chances are endless and our community has one thing for everyone.
  • After Course Completion Certificate are awarded upon the completion of the project work (after knowledgeable review) and upon marking a minimum of hr. marks within the quiz. ACTE certification is well recognized in high 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, normal hired, TCS, Genpact, Hexaware, etc.
  • 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, Oozy.
  • START YOUR CAREER WITH HANDOOP CERTIFICATION COURSE THAT GETS YOU A JOB OF UPTO 5 TO 12 LACS IN JUST 60 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

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  • Non-IT to IT (Career Transition) 2371+
  • Diploma Candidates3001+
  • Non-Engineering Students (Arts & Science)3419+
  • Engineering Students3571+
  • CTC Greater than 5 LPA4542+
  • Academic Percentage Less than 60%5583+
  • Career Break / Gap Students2588+
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Upcoming Batches

05-May-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

07-May-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

10-May-2025
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

11-May-2025
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

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    Most Job Oriented Tools Covered in Big Data Hadoop Certification Training in San Francisco

    Course Objectives

      The training course for 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.
    • Average Salary of Big Data Hadoop Developers in San Francisco is $135k.
    • Companies hiring big data professionals in San Francisco - Google, Twitter, Adobe, Uber & many more.
    • Career Opportunities, 5000+ big data jobs available in San Francisco.

      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 recognize 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 practices for HDFS, MapReduce, Spark, HBase, Hive, Pig, Oozie, Sqoop, and Flume. The Big Data Online Course can help you learn these abilities.

    • Deep understanding of Hadoop and Big Data, including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), and MapReduce.
    • 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.
    • The opportunity to work on a variety of real-world industry-based projects in  CloudLab.
    Big Data Hadoop Training centers to convey quality preparing that covers strong major information on center ideas with a reasonable methodology. Such openness to the current business use-cases and situations will assist students with increasing their abilities and perform ongoing undertakings with the prescribed procedures.
    • Lifetime enlistment to free substance.
    • The level of cooperation in live electronic classes educated by industry specialists is 8X higher.
    • Genuine industry projects that utilization Hadoop, Hive, and the Big Data stack.
    • Getting prepared for Yarn, MapReduce, Pig, Hive, HBase, and Apache Spark.
    ACTE has been completely drawn in with 100% Job Placement Assistance as a value-added execution in the Technical Program. With the help of an undeniable level planning informative program and progressing business projects, we have a solid and creating Job Placement and Path Record. Head Preparation guarantees that our pairs can do unhesitatingly in Interviews even it was their First Interview.

    What are the Features of Big Data Hadoop Training in San Francisco?

    The Hadoop admin training enables you to work with the versatile frameworks of the Apache Hadoop ecosystem. This Big Data administrator course covers Hadoop installation and configuration, computational frameworks for processing Big Data, Hadoop administrator activities, cluster management with Sqoop, Flume, Pig, Hive, Impala, and Cloudera.

    How about the Functions of Big Data Hadoop Experts?

    • Make MapReduce code that capacities outstandingly on Hadoop groups.
    • SQL, NoSQL, data warehousing, and DBA experience are required.
    • Oversee and screen Hadoop log records.
    • Get familiar with all that you can about the Hadoop climate and Hadoop Common.
    • Change hard to-grasp particular subtleties into unprecedented plans.

    Why Big Data and Hadoop is implemented in Various Technology?

    It does not refer to a specific amount of data but rather describes a dataset that cannot be stored or processed using traditional database software. Examples of big data include the Google search index, the database of Facebook user profiles, and Amazon.com's product list.

    Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power, and the ability to handle virtually limitless concurrent tasks or jobs.

    How Long does it takes to Complete the Big Data Hadoop Online Certification?

    Enormous Data Hadoop arrangement will help you with overwhelming the advancement's thoughts and suitable applications in only one month. On the off chance that you have committed resources and a never-say-chomp dust attitude, you can rule the advancement in one month.

    How much does a Certified Big Data Hadoop Expert Makes?

    A Hadoop Developer's remuneration in San Francisco is basically constrained by an up-and-comer's informative capabilities, the scope of capacities, work understanding, association size and reputation, and occupation area. Compensations for senior-level Hadoop Developers are typically extremely high, the overall Hadoop Big Data market is depended upon to create at a CAGR of 43% from $4.91 billion to $40.69 billion in forthcoming years.
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    Overview of Big Data Hadoop Certification Training in San Francisco

    ACTE Big Data Hadoop Course in San Francisco lets you master Big Data Hadoop and Spark Online to get ready for the Cloudera CCA Spark and Hadoop Developer Certification (CCA175), as well as master Hadoop administration with 14 real-time industry-oriented case-study projects. Get the best Hadoop training in San Francisco from certified mentors as well as earn IBM Big Data Certificate. Our Big Data Hadoop Online Training in San Francisco is well-prepared with lab facilities and excellent infrastructure to provide you with a real-time Training experience. Our Big Data Hadoop Online Training is well-prepared with lab facilities and excellent infrastructure to provide you with a real-time training experience. In addition, we provide Big Data Hadoop certification training. After completing the Big Data Hadoop Online Training course, we have successfully trained and placed many of our students in major MNC companies. We provide 100% placement assistance to our students. We provide Classroom Training, Weekend Training, and a Quick Route for the enjoyable Big Data Hadoop Training.

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    Key Features

    ACTE San Francisco 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 .

     

    Curriculum

    Syllabus of Big Data Hadoop Certification Course in San Francisco
    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
    • SPLITS
    • DATA Modeling (Sequential, Salted, Promoted and Random Keys)
    • Java API’s and Rest Interface
    • Client Side Buffering and Process 1 million records using Client side Buffering
    • HBase Counters
    • Enabling Replication and HBase RAW Scans
    • HBase Filters
    • Bulk Loading and Co processors (Endpoints and Observers with programs)
    • Real world use case consisting of HDFS,MR and HBASE
    Module 9: Hive
    • Hive Installation, Introduction and Architecture
    • Hive Services, Hive Shell, Hive Server and Hive Web Interface (HWI)
    • Meta store, Hive QL
    • OLTP vs. OLAP
    • Working with Tables
    • Primitive data types and complex data types
    • Working with Partitions
    • User Defined Functions
    • Hive Bucketed Tables and Sampling
    • External partitioned tables, Map the data to the partition in the table, Writing the output of one query to another table, Multiple inserts
    • Dynamic Partition
    • Differences between ORDER BY, DISTRIBUTE BY and SORT BY
    • Bucketing and Sorted Bucketing with Dynamic partition
    • RC File
    • INDEXES and VIEWS
    • MAPSIDE JOINS
    • Compression on hive tables and Migrating Hive tables
    • Dynamic substation of Hive and Different ways of running Hive
    • How to enable Update in HIVE
    • Log Analysis on Hive
    • Access HBASE tables using Hive
    • Hands on Exercises
    Module 10: Pig
    • Pig Installation
    • Execution Types
    • Grunt Shell
    • Pig Latin
    • Data Processing
    • Schema on read
    • Primitive data types and complex data types
    • Tuple schema, BAG Schema and MAP Schema
    • Loading and Storing
    • Filtering, Grouping and Joining
    • Debugging commands (Illustrate and Explain)
    • Validations,Type casting in PIG
    • Working with Functions
    • User Defined Functions
    • Types of JOINS in pig and Replicated Join in detail
    • SPLITS and Multiquery execution
    • Error Handling, FLATTEN and ORDER BY
    • Parameter Substitution
    • Nested For Each
    • User Defined Functions, Dynamic Invokers and Macros
    • How to access HBASE using PIG, Load and Write JSON DATA using PIG
    • Piggy Bank
    • Hands on Exercises
    Module 11: SQOOP
    • Sqoop Installation
    • Import Data.(Full table, Only Subset, Target Directory, protecting Password, file format other than CSV, Compressing, Control Parallelism, All tables Import)
    • Incremental Import(Import only New data, Last Imported data, storing Password in Metastore, Sharing Metastore between Sqoop Clients)
    • Free Form Query Import
    • Export data to RDBMS,HIVE and HBASE
    • Hands on Exercises
    Module 12: HCatalog
    • HCatalog Installation
    • Introduction to HCatalog
    • About Hcatalog with PIG,HIVE and MR
    • Hands on Exercises
    Module 13: Flume
    • Flume Installation
    • Introduction to Flume
    • Flume Agents: Sources, Channels and Sinks
    • Log User information using Java program in to HDFS using LOG4J and Avro Source, Tail Source
    • Log User information using Java program in to HBASE using LOG4J and Avro Source, Tail Source
    • Flume Commands
    • Use case of Flume: Flume the data from twitter in to HDFS and HBASE. Do some analysis using HIVE and PIG
    Module 14: More Ecosystems
    • HUE.(Hortonworks and Cloudera)
    Module 15: Oozie
    • Workflow (Action, Start, Action, End, Kill, Join and Fork), Schedulers, Coordinators and Bundles.,to show how to schedule Sqoop Job, Hive, MR and PIG
    • Real world Use case which will find the top websites used by users of certain ages and will be scheduled to run for every one hour
    • Zoo Keeper
    • HBASE Integration with HIVE and PIG
    • Phoenix
    • Proof of concept (POC)
    Module 16: SPARK
    • Spark Overview
    • Linking with Spark, Initializing Spark
    • Using the Shell
    • Resilient Distributed Datasets (RDDs)
    • Parallelized Collections
    • External Datasets
    • RDD Operations
    • Basics, Passing Functions to Spark
    • Working with Key-Value Pairs
    • Transformations
    • Actions
    • RDD Persistence
    • Which Storage Level to Choose?
    • Removing Data
    • Shared Variables
    • Broadcast Variables
    • Accumulators
    • Deploying to a Cluster
    • Unit Testing
    • Migrating from pre-1.0 Versions of Spark
    • Where to Go from Here
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    Need customized curriculum?

    Hands-on Real Time Big Data Hadoop Certification Training in San Francisco Projects

    Project 1
    MovieLens data project.

    The datasets describe MovieLens, a movie recommendation service, ratings and free-text tagging activities.

    Project 2
    Hive Table Partitioning Project

    In Hive, partitioning means dividing the table into sections based on the values of a specific column.

    Project 3
    Setup of a multi-node cluster project

    In a distributed Hadoop environment, a Multi Node Cluster consists of two or more DataNodes.

    Project 4
    Project on Hadoop YARN

    YARN Hadoop is a Hadoop ecosystem component that manages resources.

    Our Top Hiring Paretner for Placements

      ACTE provides placement possibilities to all professionals who have completed our classroom or Online training in Big Data Hadoop Certification Training in San Francisco. Some of our students work for the businesses mentioned below.
    • We will schedule interview calls for students and prepare them for face-to-face contact once they have completed 70% of the Big Data Hadoop Certification training curriculum.
    • We have links with big Indian businesses that will help trainees. Students will be able to work in major global organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM, others.
    • We will train using the student portal that will be built and emailed to the students. all across the Section
    • We will organize interview calls for students and prepare them for face-to-face contact with potential MNCs after they have completed 50% of the Big Data Hadoop Development Training in the San Francisco course curriculum.
    • Training for Big Data Hadoop Development Trainers assists students in restarting equaling the present industry deficiencies.
    • We have a Placement Patron Team wing that assists trainees in getting placement depending on their qualifications.
    • To compensate for these deficiencies in claimant abilities, we will conduct sample examinations and interviews.

    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 Development Trainers

    • Our Big Data Hadoop Development Training in San Francisco experts have accumulated knowledge from more than 12 years in the code program sector.
    • Our Big Data Hadoop Development Training in San Francisco Trainers are certified professionals with 7+ years of experience in their different domains and are now working with top MNCs.
    • As all Trainers are Big Data Hadoop Development Training in San Francisco space operating professionals, they have numerous keep efforts, which Trainers can utilize at some point of Training sessions.
    • All of our Trainers work with companies like as cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, and others.
    • Trainers assist applicants in obtaining positions in their different firms through worker Referral and Internal Hiring methods.
    • Our Instructors are business experts and worried professionals who have developed cardiopulmonary exercise programs to provide the best Big Data Hadoop Development Training to students.
    • We have Received some important awards for Big Data Hadoop Development Training from well-known IT companies.

    Big Data Hadoop Certification Course FAQs

    Looking for better Discount Price?

    Call now: +91-7669 100 251 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
    • 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 project experience, job support, and lifetime resources.
    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 76691 00251 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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    Request for Class Room & Online Training Quotation



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