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Big Data Hadoop Certification Training in Kuwait

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Live Instructor LED Online Training

Learn from Certified Experts

  • Obtain Novice and Advanced Level Tutored Classes.
  • Hadoop Big Data Training Immersive hands-on training.
  • Over 12402+ students were trained, and 350+ clients were recruited.
  • The Most Effective Interview Preparation Techniques in Big Data Hadoop.
  • A Big Data Hadoop Certified Expert with over 12 years of experience will deliver the training.
  • The design was created using repetitive and effective curricula from Industrial Big Data Hadoop.
  • Next Big Data Hadoop Certification Batch to Begin this week– Enroll Your Name Now!

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Fee INR 18000

INR 14000

Training

Enroll Now View Syllabus

  • 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 Acquire Our Big Data Hadoop Certification Training in Kuwait

  • You will have access to technical support 24 hours a day, seven days a week during this high Hadoop Training in port of entry.
  • This Cloudera Spark and Hadoop Developer Certification (CA175) training course is designed to prepare you to take the Cloudera Spark and Hadoop Developer Certification (CA175) exams.
  • The entire course content is aligned with these certification programmes, allowing you to easily pass these certification exams and land the best jobs at top MNCs.
  • You will work with peers from all categories and batches, as well as our alumni, through ACTE.
  • Collaborate on projects, share job referrals and interview experiences, deal with the mundane, meet new people – the options are endless, and our community has something for everyone.
  • Certificates of completion are awarded upon completion of project work (after knowledgeable review) and achievement of a minimum of hr. marks on the quiz.
  • More than 80 MNCs, including Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, normal hired, TCS, Genpact, Hexaware, and others, accept ACTE certification.
  • START YOUR CAREER WITH THE HANDOOP CERTIFICATION COURSE, WHICH WILL GET YOU A JOB OF 5 TO 12 LACES IN JUST 60 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

Talk to us

we are happy to help you 24/7

+91-7669 100 251
Other Categories Placements
  • 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+
Top Placement Record

Upcoming Batches

27-Jan-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

29-Jan-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

25-Jan-2025
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

26-Jan-2025
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

    Hear it from our Graduate

    Course Objectives

    • Hadoop is an Apache project for storing and analyzing massive volumes of data (open-source software).
    • Hadoop is a commodity-based, distributed, and fault-tolerant Big Data storage solution.
    • The data is subsequently processed in parallel across HDFS using Hadoop technologies (Hadoop Distributed File System).
    • There is a significant need for Big Data and Hadoop professionals as firms recognize the advantages of Big Data Analytics.
    • Companies are looking for Big Data & Hadoop experts who understand the Hadoop Ecosystem and best practices for HDFS, MapReduce, Spark, HBase, Hive, Pig, Oozie, Sqoop, and Flume.
    • During IJPs, Hadoop Certification can help you advance your career and go up the stepping stool.
    • People from a variety of different backgrounds are attempting to implement the Hadoop upgrade.
    • Scouts and job posts are on the lookout for Hadoop-qualified candidates.
    • This is a huge advantage over the unproven Hadoop opponent.
    • It offers you an advantage over other professionals in a subject that is nearly the same, such as salary.
    • Pig, Hive, Sqoop, Flume, Oozie, and HBase are all Hadoop Ecosystem technologies that you should be familiar with.
    • The ability to feed data into HDFS and analyze large datasets stored there using Sqoop and Flume.
    • Hadoop and Big Data concepts such as HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), and MapReduce are well-understood.
    • CloudLab provides the opportunity to collaborate on a variety of real-world industry-based projects.
    As a value-added execution in the Technical Program, ACTE has been completely captivated with 100 percent Job Placement Assistance. We have a powerful and growing Job Placement and Path Record thanks to an unquestionable level organizing illuminating system and progressing company ventures.
    • To take advantage of these opportunities, you'll need a well-coordinated Hadoop Training Course that includes the most up-to-date instructional material based on current industry needs and best practices.
    • Aside from a solid theoretical grasp, you'll need to manage a variety of real-world massive data projects using recognizable Big Data and Hadoop tools as a planning strategy.
    • You'll also require the leadership of a Hadoop guru who is currently working in the business on clear Big Data projects and investigating common issues while executing them.
    • All of this might be learned through the Big Data Hadoop Course.
    • Big Data Hadoop Training concentrates on passing on a quality foundation that covers solid substantial data on focus ideas in a practical manner.
    • Understudies will be able to grow their capabilities and execute continual endeavors with the recognized systems if they are responsive to current commercial use-cases and circumstances.
    • Our skilled real-time instructor will teach you the fundamentals of Big Data Hadoop from start to finish.
    • This course will provide you with an overview of subjects such as MapReduce, Sqoop, Oozie, Hive, Amazon EC2, Flume Scala, RDD, Spark framework, Spark Streaming, Machine learning with Spark, and many more.
    • You will also work with several industry use cases and be prepared to pass your certification exam throughout this program.
    • Hadoop is an Apache project for storing and managing Big Data (for example, open-source programming).
    • Over item gear, Hadoop stores Big Data in an adequate and weak liberal manner.
    • After some time, Hadoop gadgets are utilized to execute comparable data management through HDFS (Hadoop Distributed File System).
    • As more organizations see the value of Big Data Analytics, there is a surge in demand for Big Data and Hadoop experts.
    • Associations are searching for Big Data and Hadoop professionals with knowledge of HDFS, MapReduce, Spark, HBase, Hive, Pig, Oozie, Sqoop, and Flume, as well as data on the Hadoop Ecosystem.
    • The Big Data Course can help you develop these skills.

    Could it be possible for a Big Data Hadoop Expert to earn a high salary on average?

    An up-and-beneficial comer's abilities, the scope of limitations, work knowledge, affiliation size and notoriety, and occupation region are fundamentally prompted by a Hadoop Developer in Kuwait. Senior-level Hadoop Developers earn a lot of money, and the Hadoop Big Data market is expected to grow at a CAGR of 43% from Rs.4.91 billion in 2015 to Rs.40.69 billion in the coming years.

    What are the Career Prospects for Big Data Hadoop Online Certification?

    Career prospects in Big Data are expanding, and Hadoop is soon becoming a must-know technology for the following professionals:
      Architects and developers of software
    • Professionals in Analytics.
    • Professionals in Data Management.
    • Professionals in Business Intelligence.
    • Managers of projects.

    Mention the main goal of the Hadoop Big Data Training in Kuwait?

    • The Big Data Hadoop Certification was created to meet the increased demand for data knowledge.
    • This certification training course is great for data scientists and analysts since it equips them with the practical skills they need to succeed in the field of data analytics.
    • To boost their job prospects, students might focus on increasing their data systems and big data analytics skills.
    • Workers will be able to keep up with the increased need for data analytics and data processing in a range of industries by taking Big Data Hadoop certification courses.

    What are the prerequisites for learning Hadoop Big Data?

    The Big Data Hadoop Administrator certification course does not have any prerequisites. Before beginning this course, however, a basic background in mathematics and statistics is recommended. Specialists preparing for Big Data Hadoop's insistence should have a fundamental understanding of Core Java and SQL.Simplilearn offers a free independent course Java basics for Hadoop as part of the course plan if you want to assess your Core Java abilities.
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    Overview of Big Data Hadoop Certification Training in Kuwait

    ACTE comprehensive Big Data course is selected by industry specialists with over ten years of experience, and it includes an in-depth understanding of Big Data and Hadoop Ecosystem technologies including HDFS, YARN, MapReduce, 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 class.

    The ACTE Big Data Hadoop course will teach you the fundamentals of the Hadoop framework, Big Data tools, and approaches. A Big Data Hadoop certification will set you up for success as a Big Data Developer. This Big Data and Hadoop course will help you learn how the various Hadoop ecosystem components fit into the Big Data processing lifecycle. Explore Spark applications, parallel processing, and functional programming with this Big Data and Hadoop online class.

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    Key Features

    ACTE Kuwait 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 Online Course in Kuwait
    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
    Show More
    Show Less
    Need customized curriculum?

    Hands-on Real Time Projects for Big Data Hadoop Certification Training in Kuwait

    Project 1
    MovieLens data collection project

    MovieLens, a movie recommendation service, ratings, and free-text tagging activities are described in the datasets.

    Project 2
    Project for Hive Table Partitioning

    Partitioning in Hive refers to dividing a table into sections based on the values of a specific column.

    Project 3
    Project setup for a multi-node cluster

    A Multi Node Cluster is made up of two or more DataNodes in a distributed Hadoop environment.

    Project 4
    Yarn Hadoop Project

    Yarn Hadoop is a resource management component of the Hadoop ecosystem.

    Our Top Hiring Partner for Placements

      ACTE offers placement opportunities as an add-on to every student / professional who completed our classroom or Online Big Data Hadoop Certification Training in Kuwait. Some of our students are working in these companies listed below.
    • The ACTE Big Data Hadoop Training Program assists studio students whose accreditation is under review. Furthermore, we keep a route closure touch authentication for the exact route we're trying.
    • Big Data Hadoop Training exposes you to regional and company-specific performance analyst experiences that will aid your career advancement.
    • Big Data Hadoop Placement propels our students to the summit of the service business by placing them in some of the world's most recognizable multinational organizations (MNCs).
    • We provide detailed online certification views for certain years and listings.
    • After completing a component of the Training route curriculum, we are permitted to conduct conference calls and meet with participants in person.
    • Big Data Hadoop Training attendees may use this information to create interesting resumes for potential partners.
    • The Employment Example is a group component that assists students in determining which curriculum is most suited to their requirements.

    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 Trainer

    • Big Data Hadoop Trainers have firsthand knowledge of Big Data Hadoop deployment.
    • The Big Data Hadoop Training curriculum has a strong emphasis on knowledge transmission and practical applications.
    • When working on a project, this enables you to comprehend and successfully carry out your tasks.
    • Our Educators assess students' business goals and develop data standards for Contracting visual reports, dashboards, and KPI scorecards using Big Data Hadoop desktop.
    • Our Trainers are highly skilled executives who have worked for big international organizations for at least 11+Years.
    • Because all Instructors are professionals, the Big Data Hadoop Certification Training in Kuwait Training groups will cover a wide range of real-world duties.

    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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