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Big Data Hadoop Certification Training in Columbia

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  • Expertly Designed Program at a Reasonable Price.
  • Trainee and Advanced Level Classes are Available.
  • 14492+ Students Trained and 370+ Recruiting Clients.
  • Big Data Hadoop Training includes Hands-on Learning.
  • Big Data Hadoop Training Offers the Best Interview Preparation Methods.
  • Student Portal, Study Materials, Videos, and Top MNC Interview Questions.
  • Presented by a Big Data Hadoop Training Certified Expert with 13+ years of experience.
  • Next Big Data Hadoop Certification Batch to Begin this week – Enroll Your Name Now!

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Fee INR 18000

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 Columbia

  • 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

10-Feb-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

12-Feb-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

08-Feb-2025
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

09-Feb-2025
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

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    Job Oriented Tools Covered in Big Data Hadoop Certification Training in Columbia

    Course Objectives

    • While industry domain knowledge is important, becoming a certified Big Data Hadoop specialist allows you to work in a variety of industries rather than just one.
    • Staying relevant and adaptable is critical in a competitive talent market.
    • Working as a Big Data Hadoop specialist offers many benefits, including professional development, increased salary, expanded career options, and the opportunity to upgrade to new technologies.
    • You will also be employed by several large corporations.
    To gather, clean, organize and analyze data from various sources to derive useful insights and data.New data sources are being discovered, as are tools for data mining, analysis, and reporting.SQL queries will be required to extract data from the data warehouse.
      Here are a few compelling reasons to take Big Data Hadoop classes.The Big Data Hadoop industry is growing at a compound annual growth rate of 33.5 percent (CAGR).In ten years, the Big Data Analytics Industry will be worth $20 billion, with Big Data and AI technologies accounting for half of that.
    The following are the top ten Big Data Hadoop trends:
    • The average yearly salary for a qualified Big Data Hadoop professional is around $98,000.
    • The pay may vary depending on the level of experience.
    • Because of its extensive features and capabilities, many top companies have switched to Golang.
    • Big Data Hadoop and Spark developers currently have a plethora of job opportunities, and their popularity is growing by the day.
    • Big Data Hadoop earns a lot of money in comparison to other IT jobs.
    After completing the Big Data Hadoop certification course in collaboration with IBM, you will have the skills necessary to help you obtain your desired job:
    • Big Data Scientist/Data Scientist.
    • Manager of Technology.
    • Manager of Programs.
    • Developer of Big Data/Hadoop.
    • Product Designer.
    • Big Data is at the helm of data architecture.
    In today's market, a career in data analytics is not only a viable option but also one of the most popular.A Master of Science in Data Analytics can help you find work in a variety of industries and organizations all over the world.
    • Programming in R.
    • Tableau Public.
    • QlikView.
    • RapidMiner.
    • KNIME.
    • Excel.
    • Apache Spark.
    • Splunk.
    • SAS are all examples of data visualization tools.

    Is there anything I need to know before enrolling in Big Data Hadoop Training in Columbia?

    • Big data refers to massive amounts of data.
    • This is not to be confused with big data analytics.
    • Big data analytics is concerned with the use of predictive models to gain insights from past events and, more importantly, future occurrences.
    • Probability and statistics fundamentals.
    • It is necessary to have a working knowledge of a programming language such as Python.
    • From the ground up, learn how to use an operating system.
    • Patience and a willingness to learn are required.
    • A typical data analyst may be able to function without becoming a full-fledged programmer, but a big data analyst must be well-versed in coding.

    Would be a coding background required to learn Big Data Hadoop?

    • Because Big Data Hadoop existed before big data, its roles are well defined.
    • Big Data Hadoop professionals do not need advanced coding skills, but they should be familiar with analytics tools, data visualization software, and data management software.
    • The answer is unequivocal "No."
    • Today, there are several open-source tools available that do not require programming knowledge and can be used by big data analysts to quickly evaluate and study data.

    Can I get enough hands-on experience as a Big Data Hadoop Online Certification?

    • Our Big Data Hadoop courseware is designed to give students hands-on experience with the subject.
    • The course consists of theoretical courses that teach the principles of each module, followed by high-intensity practical sessions that depict current industry difficulties and needs, which will necessitate course completion.
    • This will necessitate the learners' time and dedication.

    Could it be worthwhile to learn Big Data Hadoop Course?

    • Yes, Big Data Hadoop can be taught.
    • Data science is the design of methods for recording, storing, and analyzing data to obtain meaningful information.
    • A Big Data Hadoop's goal is to extract information and insight from any type of data, structured or unstructured.

    Is it difficult to grasp the concepts of Big Data Hadoop Training?

    • No, being a Big Data Hadoop expert is not difficult.
    • The Hadoop Big Data framework is written in Java.
    • Hadoop does not require any prior knowledge of Java.
    • The server is an open software architecture that enables the distributed storage and processing of very large data sets on commodity computer clusters.
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    Overview of Big Data Hadoop Certification Training in Columbia

    ACTE Big Data Hadoop training in Columbia was created together with IBM to offer high-quality online Training in Big Data Hadoop and other skills needed to excel in Data engineering. Learners learn how to use the features of MongoDB get a deeper grasp of AWS services, know about Hadoop frameworks, and gain other key skills and tools in this big data engineer training in Columbia. ACTE has worked closely together in the development of our big data engineer training in Columbia. This program is perfect for anyone looking to pursue a career in big data, data engineering, or other technology sectors.

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    Key Features

    ACTE Columbia 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 Training Course in Columbia
    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 Knowledge Big Data Hadoop Certification Projects

    Project 1
    Health status prediction

    The health status prediction project predicts the health status based on massive datasets.

    Project 2
    Text Mining Project

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

    Project 3
    Tourist behavior analysis

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

    Project 4
    Analyze Crime Rates

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

    Our Top Hiring Partner for Placements

      ACTE offers placement opportunities as add-on to every professional who completed our classroom or online Big Data Hadoop Certification Training in Columbia. Some of our students are working in these companies listed below.

    • Placement Trainers assist students in developing resumes that meet the expectations of today's employers.
    • We have a Placement Guide team wing that helps students discover the greatest match for them.
    • At the end of the course, our staff leads a group discussion with the students.
    • You will be introduced to best practices as well as people Training Certifications and upgraded concepts.
    • We work with world-class companies like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM, and others. By placing our students in the world's largest multinational organizations, the United States is positioned at the forefront of the industry.
    • We have separate placement student sites where you will be able to access all of the interview dates and materials that will be delivered to you.
    • After completing 75 percent of the Training route content, we have the authority to send out interview invitations and make face-to-face contact with university students.

    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

    • Our Training specialists have more than 12 years of experience in the code program sector.
    • Our Training Trainers are highly certified specialists that work for well-known multinational firms and have 7+ years of expertise in their respective professions.
    • Because all Trainers are professionals in the Training industry, they all have some keep initiatives that they can use for a variety of purposes throughout Training sessions.
    • To mention a few, our lecturers have worked with Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, and HCL Technologies.
    • Trainers employ the worker Referral Hiring approach to assist persons in finding employment in remarkable contexts.
    • Our teachers are business experts and caring professionals who have created cardiac fitness programs to provide students with the greatest training available.
    • We have received several significant training awards 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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