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Big Data Hadoop Certification Training in Los Angeles

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      Get Train Our with Big Data Hadoop Certification Course in Los Angeles

      • We assist 100% guaranteed Placement Assistance for Freshers and Working Professionals in Big Data Hadoop Training in Los Angeles.
      • The goal of the training course is to provide high-quality instruction that combines excellent core knowledge of essential ideas with a hands-on approach.
      • Learners will be able to scale up their skills and undertake real-time projects using the industry standards after being exposed to current industrial use-cases and scenarios.
      • Through practical examples, the ACTE Big Data Hadoop Certification in Los Angeles will help you build competence in all the stages required to operate and administer a Hadoop Cluster.
      • You'll discover how to do advanced Hadoop administration activities such as cluster design, installation, configuration, cluster setup, Kerberos, and more.
      • 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 Los Angeles 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.
      • START YOUR CAREER WITH HANDOOP CERTIFICATION COURSE THAT GETS YOU A JOB OF UPTO 5 TO 12 LACS IN JUST 60 DAYS!

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      Upcoming Batches For Classroom and Online

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      01 - Dec - 2025
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      06 - Dec - 2025
      (10:00 AM - 01:30 PM)
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      Curriculum

      Syllabus of Big Data Hadoop Certification Course in Los Angeles
      Module 1: Introduction to Big Data Hadoop Certification
      • High Availability
      • Scaling
      • Advantages and Challenges
      Module 2: Introduction to Big Data
      • What is Big data
      • Big Data opportunities,Challenges
      • Characteristics of Big data
      Module 3: Introduction to Big Data Hadoop Certification
      • Big Data Hadoop Certification Distributed File System
      • Comparing Big Data Hadoop Certification & SQL
      • Industries using Big Data Hadoop Certification
      • Data Locality
      • Big Data Hadoop Certification Architecture
      • Map Reduce & HDFS
      • Using the Big Data Hadoop Certification single node image (Clone)
      Module 4: Big Data Hadoop Certification Distributed File System (HDFS)
      • HDFS Design & Concepts
      • Blocks, Name nodes and Data nodes
      • HDFS High-Availability and HDFS Federation
      • Big Data Hadoop Certification DFS The Command-Line Interface
      • Basic File System Operations
      • Anatomy of File Read,File Write
      • Block Placement Policy and Modes
      • More detailed explanation about Configuration files
      • Metadata, FS image, Edit log, Secondary Name Node and Safe Mode
      • How to add New Data Node dynamically,decommission a Data Node dynamically (Without stopping cluster)
      • FSCK Utility. (Block report)
      • How to override default configuration at system level and Programming level
      • HDFS Federation
      • ZOOKEEPER Leader Election Algorithm
      • Exercise and small use case on HDFS
      Module 5: Map Reduce
      • Map Reduce Functional Programming Basics
      • Map and Reduce Basics
      • How Map Reduce Works
      • Anatomy of a Map Reduce Job Run
      • Legacy Architecture ->Job Submission, Job Initialization, Task Assignment, Task Execution, Progress and Status Updates
      • Job Completion, Failures
      • Shuffling and Sorting
      • Splits, Record reader, Partition, Types of partitions & Combiner
      • Optimization Techniques -> Speculative Execution, JVM Reuse and No. Slots
      • Types of Schedulers and Counters
      • Comparisons between Old and New API at code and Architecture Level
      • Getting the data from RDBMS into HDFS using Custom data types
      • Distributed Cache and Big Data Hadoop Certification Streaming (Python, Ruby and R)
      • YARN
      • Sequential Files and Map Files
      • Enabling Compression Codec’s
      • Map side Join with distributed Cache
      • Types of I/O Formats: Multiple outputs, NLINEinputformat
      • Handling small files using CombineFileInputFormat
      Module 6: Map Reduce Programming – Java Programming
      • Hands on “Word Count” in Map Reduce in standalone and Pseudo distribution Mode
      • Sorting files using Big Data Hadoop Certification Configuration API discussion
      • Emulating “grep” for searching inside a file in Big Data Hadoop Certification
      • DBInput Format
      • Job Dependency API discussion
      • Input Format API discussion,Split API discussion
      • Custom Data type creation in Big Data Hadoop Certification
      Module 7: NOSQL
      • ACID in RDBMS and BASE in NoSQL
      • CAP Theorem and Types of Consistency
      • Types of NoSQL Databases in detail
      • Columnar Databases in Detail (HBASE and CASSANDRA)
      • TTL, Bloom Filters and Compensation
      Module 8: HBase
      • HBase Installation, Concepts
      • HBase Data Model and Comparison between RDBMS and NOSQL
      • Master & Region Servers
      • HBase Operations (DDL and DML) through Shell and Programming and HBase Architecture
      • Catalog Tables
      • Block Cache and sharding
      • 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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      Course Objectives

      While industry domain knowledge is important, becoming a certified Big Data Hadoop specialist means you can work in a variety of industries and are not restricted to just one. In a competitive talent market, staying relevant and adaptive is crucial. Professional development, increased salary, expanded career options, and the opportunity to upgrade to new technologies are just a few of the advantages of working as a Big Data Hadoop specialist. You will also work for a number of large corporations.
      Here are some compelling reasons to enroll in Big Data Hadoop classes.
      • The Big Data Hadoop industry is expanding at a 33.5 percent compound annual growth rate (CAGR).
      • The Big Data Analytics Industry will be worth $20 billion in ten years, with Big Data and AI technologies accounting for half of it.
      • To collect, clean, organize the process and analyze data from a variety of sources in order to derive useful insights and data.
      • New data sources are being discovered, and tools for data mining, analysis, and reporting are being developed.
      • To extract data from the data warehouse, SQL queries will be required.
       
      Here are the top ten Big Data Hadoop trends:
      • The average yearly salary for a qualified Big Data Hadoop is roughly $98,000. Depending on the level of experience, the pay may vary.
      • Many top companies have switched to Golang because of its extensive features and capabilities.
      • Developers of Big Data Hadoop and Spark have plenty of job opportunities right now, and their popularity is growing by the day.
      • In comparison to other IT professions, Big Data Hadoops earn a lot of money.
      You will have the abilities necessary to help you attain your desired employment after completing the Big Data Hadoop certification course in cooperation with IBM.
      • Data Scientist/Big Data Scientist.
      • Technical Manager.
      • Program Manager.
      • Big Data/Hadoop Developer.
      • Product Engineer.
      • Big Data Lead Data Architecture.
      A career in data analytics is not only a viable option but also one of the most popular in today's market. A Master's degree in Data Analytics can help you find a job in a range of sectors and organizations all around the world.
      • R programming.
      • Tableau Public.
      • QlikView.
      • RapidMiner.
      • KNIME.
      • Excel.
      • Apache Spark.
      • Splunk.
      • SAS.

      Is there any Essentials to enroll in Big Data Hadoop Training in Los Angeles?

      Massive amounts of data are referred to as big data. This is not the same as big data analytics. Big data analytics is concerned with using predictive models to get insights from previous events and, more crucially, future occurrences. Fundamentals of probability and statistics. Working knowledge of a programming language such as Python is required. Learn how to use an operating system from the ground up. Patience and desire to learn are required. While a typical data analyst may be able to function without becoming a full-fledged programmer, a big data analyst must be quite acquainted with coding.

      Do i need a coding background to learn Big Data Hadoop?

      Big Data Hadoop roles are well defined because Big Data Hadoop existed long before big data. Big Data Hadoop do not need sophisticated coding abilities, but they should be familiar with analytics tools, data visualization software, and data management software. The answer is a resounding “No.” There are a number of open-source tools available today that do not require programming skills and can be used by big data analysts to evaluate and study data quickly.

      Will I be given sufficient hands-on experience as a Big Data Hadoop?

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

      Is learning Big Data Hadoop worthwhile?

      Yes, Big Data Hadoop may be learned. The design of methods for recording, storing, and analyzing data in order to obtain meaningful information is known as data science. The goal of a Big Data Hadoop is to extract information and insight from any type of data, structured or unstructured.

      Is it hardto learn the concepts of Big Data Hadoop?

      No, being a Big Data Hadoop is not tough. The Big Data Hadoop framework is written in Java. Hadoop does not necessitate any prior Java knowledge. The server is an open software architecture that allows for the distributed storage and processing of very large data sets on computer clusters made of commodities.
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      Overview of Big Data Hadoop Training in Los Angeles

      ACTE Big Data Course in Los Angeles prepares you for the Cloudera CCA Spark and Hadoop Developer Certification (CCA175) by teaching you Big Data Hadoop and Spark online, as well as Hadoop administration through 14 real-time industry-oriented case-study projects. Certified tutors will provide you with the best Hadoop Training in Los Angeles.

      Hadoop is a free and open-source software project that allows for the distributed processing of huge data volumes across clusters of commodity machines. The economics and dynamics of large-scale computing are changing as a result of Hadoop. The effect of Big Data with Hadoop training and knowledge may be reduced down to four key aspects. For obvious reasons, Hadoop certified experts are in high demand all around the world, with large compensation packages and unlimited career possibilities.

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      Need customized curriculum?

      Best Practising on Live 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 Los Angeles, whether in-person or online. Many of our scholars work at the organizations listed below.
      • You will Get Training Certifications and better concepts but you will also be associated with best practices and Placement.
      • We collaborate with world-class organizations such as HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM, and others. Placing our kids in the top MNCs in the world puts the United States at the forefront of the field.
      • We have separate placement student sites where you can access all of the interview schedules and material that we will provide to you.
      • We are authorized to give out interview invitations to university students and place them in face-to-face contact after completing 75% of the Training route material.
      • Training Trainers assist students in developing resumes that suit the needs of today's companies.
      • We have a dedicated Placement guide team wing that assists students in finding the best fit for them.

      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 Specialists have over 12 years of experience in the code program business.
      • Our Training Trainers are qualified experts with 7+ years of experience in their respective fields, and they are currently employed by major MNCs.
      • Because all Trainers are Training space operating experts, they have some keep efforts that they may use for a variety of objectives throughout Training sessions.
      • Our Teachers have all worked for businesses like as cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, and HCL Technologies, among others.
      • Trainers use the worker Referral Hiring approach to help folks in getting employment in their various businesses.
      • Our teachers are business experts and anxious professionals who have created cardiopulmonary fitness programs to give students the finest training possible.
      • We have earned numerous significant training awards from well-known IT businesses.

      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 .

      Get Training Quote for Free

            Career Support

            Placement Assistance

            Exclusive access to ACTE Job portal

            Mock Interview Preparation

            1 on 1 Career Mentoring Sessions

            Career Oriented Sessions

            Resume & LinkedIn Profile Building

            We Offer High-Quality Training at The Lowest Prices.

            Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.

            What Makes ACTE Training Different?

            Feature

            ACTE Technologies

            Other Institutes

            Affordable Fees

            Competitive Pricing With Flexible Payment Options.

            Higher Fees With Limited Payment Options.

            Industry Experts

            Well Experienced Trainer From a Relevant Field With Practical Training

            Theoretical Class With Limited Practical

            Updated Syllabus

            Updated and Industry-relevant Course Curriculum With Hands-on Learning.

            Outdated Curriculum With Limited Practical Training.

            Hands-on projects

            Real-world Projects With Live Case Studies and Collaboration With Companies.

            Basic Projects With Limited Real-world Application.

            Certification

            Industry-recognized Certifications With Global Validity.

            Basic Certifications With Limited Recognition.

            Placement Support

            Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.

            Basic Placement Support

            Industry Partnerships

            Strong Ties With Top Tech Companies for Internships and Placements

            No Partnerships, Limited Opportunities

            Batch Size

            Small Batch Sizes for Personalized Attention.

            Large Batch Sizes With Limited Individual Focus.

            LMS Features

            Lifetime Access Course video Materials in LMS, Online Interview Practice, upload resumes in Placement Portal.

            No LMS Features or Perks.

            Training Support

            Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.

            Limited Mentor Support and No After-hours Assistance.

            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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