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Big Data Hadoop Certification Training in Minneapolis

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  • Become Trained Classes of Novice and Top Level.
  • Get Flawless Hands-on Realistic Scenarios Training.
  • Preparation of Techniques in Big Data Hadoop Most Useful Interview Training.
  • 10406+ Trained and Recruiting Clients for More than 11 years.
  • The Industrial Big Data Hadoop Expert has Developed an Extremely Suitable Curriculum.
  • Access to Self-Paced Videos for Big Data Hadoop Portal for Students, Materials for Study, Videos.
  • Next Big Data Hadoop Certification Batch to Begin this week – Enroll Your Name Now!

Fee INR 18000

INR 14000

Training

  • 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 Minneapolis

  • Our Big Data & Hadoop Training training is designed to provide remarkable instruction that includes high-quality underlying information of the middle mind further to a hands-on approach.
  • In this hands-on Hadoop course, you could execute real-life, corporation-based tasks using Integrated Lab.
  • Enter the arena of huge records engineering with this certification course. It capabilities masterclasses and Asks me something durations with the useful resource of the usage of IBM experts.
  • Learn pastime essential talents like Big Data & Hadoop frameworks, leverage the functionality of AWS services, and learn how to use the database management tool and MongoDB to maintain records thru interactive live durations, sensible labs, & corporation tasks.
  • Hadoop makes it possible to run applications on systems with masses of nodes concerning masses of terabytes of storage capacity.
  • Its distributed report tool permits speedy records transfer prices among nodes and lets in the tool to preserve operating uninterrupted in case of a node failure.
  • You may also have complete useful resources and real-time project assist from licensed experts at a few levels in the education term.
  • 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!
  • 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+
03-Feb-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

05-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

    Hear it from our Graduate

     

    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 a list of prerequisites for Big Data Hadoop Training in Minneapolis?

    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.

    Is it necessary for me to have a coding experience in order to enroll in Big Data Hadoop Course?

    Big Data Hadoop roles are well defined because Big Data Hadoop existed long before big data. Big Data Hadoop does 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 get enough hands-on experience as a Big Data Hadoop developer?

    Our Big Data Hadoop training 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 it worthwhile to study Big Data Hadoop?

    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 difficult to grasp Big Data Hadoop concepts?

    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 Certification Training in Minneapolis

    ACTE Hadoop and Big Data Course in Minneapolis may support you in mastering the framework. Students learn how Hadoop's ecosystem components integrate into the Big Data processing lifecycle with ACTE Big Data and Hadoop Training in Minneapolis. We provide 100% placement assistance and focus our efforts on long-term objectives.

    The Best Big Data Hadoop Course is provided by ACTE. With the help of industry experts in the Big Data Hadoop Course Online Training field. Based only on Google evaluations, Our Online Certification Training is regarded as one of the best Big Data Hadoop Certification Institutes. Our Big Data and Hadoop Training in Minneapolis will get you ready for the ACTE Hadoop Certification Exam.

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    Key Features

    ACTE Minneapolis 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 Minneapolis
    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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    Need customized curriculum?

    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 Minneapolis. Some of our students are working in these companies listed below.

    • ACTE ownership options are available to all learners who finish Our Placement Training at a higher level of online certification.
    • You will gain from studying people training certification and the principles discussed above, but you will also be connected to the best systems.
    • The ACTE countries worked with steeple teams from Accenture, Google, CTS, TCS, and other companies. It rises to the surface in the field of our students' achievements in big multinational corporations.
    • We may hold negotiating conversations with varsity learners and progress them to Face to Face Communication when they have completed 75 percent of the Training route material.
    • We have a Professional Profession guide crew wing that helps learners get an introduction depending on their needs.
    • The ACTE Placement Team creates a Group Discussion on the topic at the end of the course, and Exams and Conferences must be planned to assess the Individual's ability.
    • We organize a Group Discussion about the topic at the end of the Training Division.

    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 Certification Training in Minneapolis Trainer

    • ACTE trainers have over ten years of Big Data Hadoop experience and have worked for leading MNC firms in Minneapolis.
    • Our trainers assess the Beginners' current ability level and formulate goals based on that information.
    • Best Online Training (National/Regional), Best Corporate Training Program (National/Regional), Best Training Classes for Competitive Exams Entrance (National/Regional), and more have all been given to our Institute.
    • The Instructor evaluates the progress of the novices and provides instruction in areas where they might improve.
    • ACTE Tutors are extremely organized since they verify numerous schedules and dependability in each subject regularly.
    • During the course, our instructor may be called upon to assist students in obtaining the most up-to-date information on a given topic.

    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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