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Hadoop Training in Chandigarh

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  • Regular Fees with Best curriculum Designed by Industrial Hadoop Expert.
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25- Sep- 2023

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27- Sep- 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

30- Sep- 2023

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30- Sep- 2023

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  • There is more to this course than just Hadoop. In this course, you will be introduced to applying data science techniques for solving real-world problems.
  • Besides Hadoop, this course provides instruction on installing, configuring, and investigating big data. Students in this course will also learn how technologies can be used in the real world to solve everyday problems. It is assumed that participants are familiar with UNIX and Java.
  • By completing this course, you will obtain the knowledge and skills required to efficiently handle big data projects in your current position. You will gain the confidence necessary to succeed at your current position.
  • It is imperative that students take theoretical courses and practical courses as well. We are able to place our graduates in a variety of industries following they graduate from our program.
  • The course will help you learn how to use Hadoop to solve real-world problems and integrate it into your everyday life. Upon completion, you'll receive a certificate as well!
  • Concepts: High Availability, Big Data opportunities, Challenges, Hadoop Distributed File System (HDFS), Map Reduce, API discussion, Hive, Hive Services, Hive Shell, Hive Server and Hive Web Interface, SQOOP, H Catalogue, Flume, Oozie.
  • Classroom Batch Training
  • One To One Training
  • Online Training
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This is How ACTE Students Prepare for Better Jobs


Course Objectives

There are no requirements for training in Hadoop Administration, but a general knowledge of the Linux functionality on the operating system is helpful to effortlessly get Hadoop constructs. If you want to clean up on your Core Java skills, ACTE allows a complimentary self-paced course Java essentials for Hadoop when you enroll for this course.

  • Fresher is fresher Who wants a career in the world of distributed computing.
  • Those who really want to learn administrative responsibilities such as Hadoop Admin.
  • Inventors and DevOps Engineer.
  • Professionals in Analytics.
  • Senior IT experts.
  • Specialists for testing and mainframe.
  • This training program in Hadoop administration has 3 projects, including Automatic Climbing the DataBase station.
  • Report Generation Node Scaling: premised on the pattern alerts, a new data node should immediately assign to the fly when a fly limit is reached.
  • Hadoop Ecosystem upgrade tool: Installation and improvement of Data Warehouse Tools, from bottom to bottom.
  • There are more opportunities to get a job if you are certified. It certainly acts as a compliment that gives you a breakthrough over your competing products.
  • Since interviewees also consider several additional things, however, the 100% guarantee cannot be given as a huge part of the selection changes depending on the interviewer and the applicant.
Set of working responsibilities for Hadoop Developers:
  • Hadoop is an approach for monitoring and maintaining big data, which is extremely important and widely used.
  • It is used by large companies to keep their customers documentation and to accurately compute and perform other measures required.
  • However, small companies can also benefit from Hadoop by keeping their databases and performing data analysis, warehouse and computation without employing a specialist who saves them a lot of money.
  • By using Hadoop functionality, you can conduct data analyses and transform your business into a larger company.

You need to code to conduct numerical and applied mathematics analysis with Big Data Hadoop. A number of the languages you must invest time and cash in learning are Python, R, Java, and C++ among others. Finally, having the ability to assume sort of an engineer can help you to become a decent huge knowledge analyst.

  • For people who could do the Hadoop operational processes such as data transfers and data contests in large numbers, regardless of their experience, there are too many jobs.
  • Hadoop is a popular software platform that allows the management of enormous data between servers.
  • However, to obtain an appointment as a Virtualization, you first need to learn relevant knowledge and skills for business intelligence, which you can easily obtain from our specialized company.

Enlist any of the important characteristics of the Hadoop framework?

Hadoop framework has been developed on MapReduce from Google's Big Data Database Files. Hadoop is available and accessible. For big data analysis, the Methodology can help in solving many questions very effectively.

What are the tools needed for the Big Data Hadoop Certification Training Course?

Hadoop Distributed File System. The Hadoop Distributed filing system (HDFS) is meant to store giant knowledge sets faithfully, and to stream those knowledge sets at high information to user applications:
  • Hbase.
  • HIVE.
  • Sqoop.
  • ZooKeeper.
  • NOSQL.
  • Mahout.

In this Big Data Hadoop Certification Training Course, what are you going to learn?

  • Hadoop and YARN essentials and compose applications.
  • Sparkle SQL, Streaming, Data Frame, RDD, GraphX and MLlib composing Spark applications HDFS MapReduce, Hive, Pig, Sqoop, Flume, and ZooKeeper Spark.
  • Avro information designs work.
  • Use Hadoop and Apache Spark to execute genuine ventures.
  • Be set up to clear the accreditation with Big Data Hadoop.

What are the conventions on which Hadoop can operate?

  • Standalone Mode: uses the incoming and outgoing local file system. It's used to troubleshoot.
  • Pseudo-distributed mode: every daemon runs a single node.
  • Fully distributed mode: Master and Slave are assigned separate modules.

Will I Perceive Technical Support Indeed behind Completion of Course?

Yes, you could perhaps ask a trainer any technical questions and obtain clarification, even you can reassert classes in the subjects you want to review. You should execute your training honestly during Pursing by constantly performing assignments by a training partner.

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Overview of Hadoop Training in Chandigarh

Learn to explain the huge volume of data - both structured and unstructured - that inundates a business on a daily basis. From ACTE the Best Institute, start your career in Big Data Hadoop. Big Data Hadoop training gives an in-depth understanding of Hadoop Ecosystem technologies. Examining huge volumes of data, often known as Big Data, shows patterns of trends, connections, and consumer preferences, and helps businesses make business decisions that will align them with market and customer needs and enhance profits. This eventually leads to economic success, which is why Big Data Analytics and Hadoop are among the technologies that are being embraced by companies across the world at the quickest rate.

Additional Info

Career path in Bigdata and hadoop developer:

It is attainable to adopt any of the massive knowledge & Hadoop job profile on the idea of your former profile yet as interest. So, some fashionable massive knowledge job titles are:

1. Hadoop Career Growth:- As we tend to mentioned earlier that Hadoop preparation is rising with every passing day. So, learning the Hadoop will vastly add growth to your massive knowledge Career.

2. Hadoop Career – Annual pay in Hadoop:- According to, the typical annual pay is £66,250-£66,750, within the uk. Turkish monetary unit, for Hadoop developer, average annual pay for Hadoop jobs ranges between $92,512 to $102,679. Whereas, consistent with, the typical Hadoop pay ranges from Rs. 4,05,880 to Rs. 5,825,000 in India, on the idea of your expertise.

3. Reasons to change Career to Hadoop could be a natural career progression for Java developers.:- The trade is trying to find Hadoop professionals. Bigger Pay Packages for Hadoop professionals. Opportunities to maneuver into different remunerative fields.

Bigdata and hadoop Certification Training and Exam and path:

The main advantage of Hadoop comes with its open supply feature. Hence, many vendors have stepped into the planet of Hadoop with their own distribution. Every distribution are often customized with a mix of options as per the requirement of users. Hence, selecting the proper distribution is solely business specific. What is more, every distribution brings their specific certification within the market. Among them, Cloudera, Map, and Hornworts area unit the market leaders for Hadoop certifications within the marketplace for 2017-18. However, that one you must select that entirely depends on your personal wants, structure needs, Hadoop certification price, and its validity for a selected lender.

1. Cloudera Hadoop Certification:- Cloudera is that well-known name, one among the foremost fashionable vendors that provide Hadoop certification. It offers variety {of massive|of massive|of huge} knowledge certifications and therefore provides prime corporations big knowledge skills. Cloudera Certified skilled – knowledge human (CCP DS) Cloudera Certified Administrator for Hadoop (CCAH) Cloudera Certified Hadoop Developer (CCDH)

2. Hortonworks:- Hortonworks Hadoop certification proves an associate degree individual’s Hadoop skills for the relevant job. Hence, it brings additional opportunities for the professionals in the Hadoop network. The Hortonworks Hadoop certifications area unit – Hortonworks Certified Apache Hadoop Developer (HCAHD) Hortonworks Certified Apache Hadoop Administrator (HCAHA)

3. Map Hadoop Certification:- It causes you to massive knowledge professional and provides a competitive edge. Following area unit the highest 3 MapR Hadoop certifications – MapR Certified Hadoop Developer (MCHD) MapR Certified Hadoop Administrator (MCHA) MapR Certified HBase Developer (MCHBD)

4. IBM Hadoop Certification :- IBM Hadoop Certification is one amongst the Hadoop certifications notable for providing fast sensible information and knowledge on the operating of Hadoop framework. IBM Hadoop certification comes with associated Hadoop coaching and period of time trade project. IBM Certified Hadoop program is to coach the professionals in commercialism knowledge in Hadoop cluster. It additionally makes the skilled experience in process knowledge with massive knowledge tools like Hive, Pig etc. once passing this Hadoop certification, one becomes ready to perceive that one is that the best Hadoop tool and that tool ought to be employed in a selected scenario. For IBM Hadoop certifications, the skilled is needed to arrange through a high-level Hadoop educational program with a Hadoop professional. This certification needs the candidate to possess honest information of all the Hadoop tools and ideas. Associate degree engineer or a developer with basic programming information and knowledge, opt for IBM Hadoop coaching. Once, the candidate completes the Hadoop coaching with sure-fire completion of the period of time project, he or she is prone to get certified with the IBM Hadoop certification. So, if you're trying to find a fast Hadoop coaching course to achieve sensible information, you must think about this stupidly abundant certification.

5. SAS Hadoop Certification:- SAS is accepted for giving certifications in analytics. Their certification's area unit is extremely cost-efficient and supported by courses that area units delivered by extremely skilled and practiced colleges. The certifications by SAS area unit namely: Big knowledge skilled victimization SAS nine Certification. Advanced Analytics skilled victimization SAS nine Certification.

Industry Trends

1. the ability of Cloud Solutions:- AI and IoT a enabling quicker knowledge generation that could be a profit for businesses if they work with wisdom. Applications that as involved with IoT can want climbable cloud-based solutions to manage the ever-growing volume of knowledge. Hadoop on Cloud is already being adopted by several organizations and therefore the rest ought to follow this result in maintain their edge up the market.

2. A giant Shift inside ancient Databases:- RDB MS systems were the well-liked selections once structured knowledge occupied the main portion of knowledge production. however, because the world is evolving, we have a tendency to a all manufacturing unstructured knowledge by mistreatment IoT, social media, sensors, etc. this is often wherever NO-SQL databases inherit action. This is often already changing into a typical alternative in today’s business environments and therefore the trend can solely grow. NO-SQL databases like MongoDB and prophetess are going to be adopted by additional vendors and graph databases like Neo4j can see additional attraction.

3. Hadoop can stick with New options:- One of the foremost fashionable massive knowledge technologies, Hadoop, can accompany advanced options to require on the enterprise-level lead. Right once Hadoop’s security comes like sentinel and rhinoceros can become stable, Hadoop can become versatile enough to figure in additional sectors and firms will leverage its capabilities with none security considerations.

4. Period of time Speed can verify Performance:- At now, organizations have {the knowledge|the info|the information} sources and therefore the ability to store and method massive data. The $64000 issue which will verify their performance goes to be the speed at that they'll deliver analytics solutions. The process capabilities of huge knowledge technologies like Spark, Storm, Kafka, etc. as being fine-tuned with the speed in mind and firms can presently advance mistreatment this period of time feature.

5. Simplicity can create Tasks easy:- Big knowledge technologies which will alter the processes like knowledge improvement, knowledge preparation, and knowledge exploration can see a rise in adoption. Such tools can minimize the trouble place in by the end-users and firms will make the most of those self-service solutions. During this race, Informatica has already shown innovation.

Top framework or technologies and major tool in Bigdata and hadoop:

Hadoop is nice for reliable, scalable, distributed calculations. However, it may be exploited as common-purpose file storage. It will store and method petabytes of knowledge. This answer consists of 3 key components:

  • HDFS classification system, liable for the storage of knowledge within the Hadoop cluster; MapReduce system, meant to method giant volumes of knowledge during a cluster; YARN, a core that handles resource management.
  • How will exactly Hadoop facilitate to resolve the memory problems with fashionable DBMSs? Hadoop uses associate negotiator layer between associate interactive information and knowledge storage. Its performance grows in line with the rise of the info space for storing. To grow it any, you'll add new nodes to the info storage.
  • Hadoop will store and method several petabytes of information, whereas the quickest processes in Hadoop solely take a couple of seconds to control. It conjointly forbids any edits to the info, already keep within the HDFS system throughout the process.
  • 1. Hadoop:- First up is that the incomparable classic, and one in all the highest frameworks in use these days. therefore, prevailing is it, that it's nearly become similar with massive knowledge. however, you already comprehend Hadoop, and MapReduce, and its scheme of tools and technologies as well as Pig, and Hive, and Flume, and HDFS. And every one the others. Hadoop was 1st out of the gate, and enjoyed (and still will enjoy) widespread adoption in trade.

    2. Spark:- Spark is that the inheritor to the large processing kingdom. Spark associated Hadoop as typically contrasted as an "either/or" alternative, however that may not extremely the case. The Hadoop scheme will accommodate the Spark process engine in situ of MapReduce, resulting in all types of completely different atmosphere make-ups which will embody a combination of tools and technologies from each ecosystem. Collectively specific example of this interaction, massive knowledge powerhouse Cloudera is currently replacement MapReduce with Spark because the default process engine all told of its Hadoop implementations moving forward. As another example, Spark doesn't embody its own distributed storage layer, and intrinsically it should make the most of Hadoop's distributed file system (HDFS), among alternative technologies unrelated to Hadoop (such as Mesos).

    3. Flink:- Apache Flink could be a streaming data flow engine, planning to give facilities for distributed computation over streams of knowledge. Treating batch processes as a special case of streaming knowledge, Flink is effectively each a batch and data processing framework, however one that clearly puts streaming.

    4. Storm:- Apache Storm could be a distributed period of time computation system, whose applications a designed as directed acyclic graphs. Storm is meant for simply process limitless streams, and might be used with any artificial language. It's been benchmarked at process over 1,000,000 tuples per second per node, is very climbable, and provides process job guarantees. Distinctive for things on this list, Storm is written in Clojure, the Lisp-like functional-first artificial language.

    5. Samza:- Finally, Apache Samza is another distributed stream process framework. Samza is made on Apache Franz Kafka for electronic messaging and YARN for cluster resource management.

    Scope of Hadoop within the future:

    Hadoop could be a technology of the long run, particularly in giant enterprises. The quantity of knowledge is simply aiming to increase and at the same time, the requirement for this code goes to rise solely.Moreover, a PwC report predicts that by 2020, there'll be around two.7 million job postings in knowledge Science and Analytics within the United States alone. And the engineers UN agency will fill that require a aiming to be only a few thanks to one crucial limitation: MapReduce could be a procedure model that's used for writing applications running in Hadoop. Raise one in all your batch mates if they savvy to write down in MapReduce, and you'd draw a blank in regard to the name solely.

    Bigdata and hadoop Training Key Features:

    Lifetime Access:- You get period of time access to the training Management System (LMS) wherever shows, assignments, and installation guide massive knowledge Hadoop Certification coaching.

    Assignments:- Trainers can assign some assignments before long once the completion of every and each topic that produces you master within the massive knowledge Hadoop Course and conjointly helps you to clear certification.

    24 x seven Support:- We have 24x7 on-line support team to resolve all of your queries

    Job help:- IT Guru supports learners find job opportunities with the freshly non heritable talent set. On-line IT Guru includes a varied bunch of business round the globe, over 200+ firms in varied countries just like the USA and Asian nation. Before long once the course, the support team can pass your resumes to the businesses and make sure that the learners can accomplish 100 percent placements.

    Bigdata and hadoop Program Advantage

    1. Scalable:- Hadoop may be an extremely climbable storage platform as a result of it will store and distribute terribly giant knowledge sets across many cheap servers that operate in parallel. In contrast to ancient electronic information service systems (RDBMS) that can’t scale to method giant amounts of information.

    2. Efficient:- Hadoop conjointly offers a cheap storage answer for businesses exploding knowledge sets. The matter with ancient electronic information service management systems is that it's very value preventative to scale to such a degree to method such large volumes of information. In an attempt to cut back prices, several firms within the past would have had to down-sample knowledge and classify it supported bound assumptions on that knowledge was the foremost valuable. The data would be deleted, because it would be too cost-prohibitive to stay.

    3. Flexible:- Hadoop allows businesses to simply access new knowledge sources and faucet into differing kinds {of knowledge|of knowledge|of information} (both structured and unstructured) to get price from that data. This suggests businesses will use Hadoop to derive valuable business insights from knowledge sources like social media, email conversations.

    4. Fast:- Hadoop’s distinctive storage methodology relies on a distributed classification system that essentially ‘maps’ knowledge where it's placed on a cluster. The tools for processing as usually on identical servers wherever the info is found, leading to a lot of quicker processing. If you’re handling giant volumes of unstructured knowledge, Hadoop is ready to with efficiency method terabytes of information in barely minutes, and petabytes in hours.

    5. Resilient to failure:- A key advantage of victimization Hadoop is its fault tolerance. Once knowledge is distributed to a personal node, that knowledge is additionally replicated to different nodes within the cluster, which suggests that within the event of failure, there's another copy obtainable to be used.

    Bigdata and hadoopDeveloper job Responsibilities:

    A Hadoop Developer has several responsibilities. And therefore the job responsibilities as keen about your domain/sector, wherever a number of them would be applicable, and a few won't. The subsequent a the tasks a Hadoop Developer is accountable for:

  • Hadoop's development and implementation. Loading from disparate knowledge sets.
  • Pre-processing victimization Hive and Pig.
  • Designing, building, installing, configuring and supporting Hadoop.
  • Translate complicated purposeful and technical needs into careful style. Perform analysis of immense knowledge stores and uncover insights.
  • Maintain security and knowledge privacy.
  • Create climbable and superior net services for knowledge following. High-speed querying.
  • Managing and deploying HBase.
  • Being an area of a POC effort to assist build new Hadoop clusters. Test prototypes and superintend relinquishment to operational groups. Propose best practices/standards.
  • Hadoop may be a rewardful and moneymaking career with many growth opportunities. If the duty responsibilities listed higher than interest you, then it’s time to up-skill with Hadoop and acquire on the Hadoop Developer career path.

  • Pay Scale of Bigdata and hadoop Developer:

    The Big data 715 LPA and people in social control roles will create around Rs. 12 -18 LPA or a lot of. The wage scale of senior-level Hadoop Developers (with over fifteen years of experience) is sometimes terribly high, locomote between Rs. 28 – 50 LPA or a lot of.

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    Key Features

    ACTE Chandigarh offers Hadoop 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 and National Institute of Education (nie) Singapore.


    Syllabus of Hadoop Course in Chandigarh
    Module 1: Introduction to Hadoop
    • 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 Hadoop
    • Hadoop Distributed File System
    • Comparing Hadoop & SQL
    • Industries using Hadoop
    • Data Locality
    • Hadoop Architecture
    • Map Reduce & HDFS
    • Using the Hadoop single node image (Clone)
    Module 4: Hadoop Distributed File System (HDFS)
    • HDFS Design & Concepts
    • Blocks, Name nodes and Data nodes
    • HDFS High-Availability and HDFS Federation
    • Hadoop 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 Hadoop 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 Hadoop Configuration API discussion
    • Emulating “grep” for searching inside a file in Hadoop
    • DBInput Format
    • Job Dependency API discussion
    • Input Format API discussion,Split API discussion
    • Custom Data type creation in Hadoop
    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
    • Compression on hive tables and Migrating Hive tables
    • Dynamic substation of Hive and Different ways of running Hive
    • How to enable Update in HIVE
    • Log Analysis on Hive
    • Access HBASE tables using Hive
    • Hands on Exercises
    Module 10: Pig
    • Pig Installation
    • Execution Types
    • Grunt Shell
    • Pig Latin
    • Data Processing
    • Schema on read
    • Primitive data types and complex data types
    • Tuple schema, BAG Schema and MAP Schema
    • Loading and Storing
    • Filtering, Grouping and Joining
    • Debugging commands (Illustrate and Explain)
    • Validations,Type casting in PIG
    • Working with Functions
    • User Defined Functions
    • Types of JOINS in pig and Replicated Join in detail
    • SPLITS and Multiquery execution
    • Error Handling, FLATTEN and ORDER BY
    • Parameter Substitution
    • Nested For Each
    • User Defined Functions, Dynamic Invokers and Macros
    • How to access HBASE using PIG, Load and Write JSON DATA using PIG
    • Piggy Bank
    • Hands on Exercises
    Module 11: SQOOP
    • Sqoop Installation
    • Import Data.(Full table, Only Subset, Target Directory, protecting Password, file format other than CSV, Compressing, Control Parallelism, All tables Import)
    • Incremental Import(Import only New data, Last Imported data, storing Password in Metastore, Sharing Metastore between Sqoop Clients)
    • Free Form Query Import
    • Export data to RDBMS,HIVE and HBASE
    • Hands on Exercises
    Module 12: HCatalog
    • HCatalog Installation
    • Introduction to HCatalog
    • About Hcatalog with PIG,HIVE and MR
    • Hands on Exercises
    Module 13: Flume
    • Flume Installation
    • Introduction to Flume
    • Flume Agents: Sources, Channels and Sinks
    • Log User information using Java program in to HDFS using LOG4J and Avro Source, Tail Source
    • Log User information using Java program in to HBASE using LOG4J and Avro Source, Tail Source
    • Flume Commands
    • Use case of Flume: Flume the data from twitter in to HDFS and HBASE. Do some analysis using HIVE and PIG
    Module 14: More Ecosystems
    • HUE.(Hortonworks and Cloudera)
    Module 15: Oozie
    • Workflow (Action, Start, Action, End, Kill, Join and Fork), Schedulers, Coordinators and Bundles.,to show how to schedule Sqoop Job, Hive, MR and PIG
    • Real world Use case which will find the top websites used by users of certain ages and will be scheduled to run for every one hour
    • Zoo Keeper
    • HBASE Integration with HIVE and PIG
    • Phoenix
    • Proof of concept (POC)
    Module 16: SPARK
    • Spark Overview
    • Linking with Spark, Initializing Spark
    • Using the Shell
    • Resilient Distributed Datasets (RDDs)
    • Parallelized Collections
    • External Datasets
    • RDD Operations
    • Basics, Passing Functions to Spark
    • Working with Key-Value Pairs
    • Transformations
    • Actions
    • RDD Persistence
    • Which Storage Level to Choose?
    • Removing Data
    • Shared Variables
    • Broadcast Variables
    • Accumulators
    • Deploying to a Cluster
    • Unit Testing
    • Migrating from pre-1.0 Versions of Spark
    • Where to Go from Here
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    Need customized curriculum?

    Hands-on Real Time Hadoop Projects

    Project 1
    Malicious User Detection in Big Data Collection

    To achieve this, the project will divide the trustworthiness into familiarity and similarity trustworthiness. Furthermore, it will divide all the participants into small groups.

    Project 2
    Electricity Price Forecasting

    This project is explicitly designed to forecast electricity prices by leveraging Big Data sets. The model exploits the SVM classifier to predict the electricity price.

    Project 3
    Song Recommendations Project

    The objective of recommender systems is to provide recommendations based on recorded information on the users' preferences.

    Project 4
    Generating Image Caption Project

    Image caption generator is a task that involves computer vision and natural language processing concepts to recognize the context of an image and describe them in a natural.

    Our Best Hiring Placement Partners

    ACTE Chandigarh  for affirmation and Guaranteed Situations. Our Work Situated classes are educated by experienced confirmed experts with broad certifiable experience. All our Best around down to earth than hypothesis model.
    • Our Situation preparing assumes a significant part in getting down to business the profession objectives of understudies. It is the fantasy of each understudy to get set in a top association visiting their grounds for enlistment. Keeping this vital viewpoint into thought, it is understood that preparation is significant for understudies to upgrade their employability abilities and accomplish great arrangement in different Enterprises.
    • The most fundamental component to confront a meeting is to support the certainty of continuing till the end. numerous understudies lose openings because of their absence of certainty. our the training programs are planned in such a manner to kill dread and instability among the understudies and lift their spirit. whenever they are furnished with the truly necessary certainty, they are good to go to go.
    • Our training programs, the understudies are furnished with data about different fields and it empowers them to pick the one they are energetic about. The absence of data is a difficult issue and our arrangement programs never neglects to introduce even the moment subtleties on what's going on the planet and which space has a decent future and more vocation choices.
    • Various training Projects are coordinated to prepare the understudies in the space of fitness, quantitative thinking, sensible thinking and verbal through the rumored outside preparing focuses.
    • Training through Mock Meetings for understudies to perform well in the expert meetings according to the assumptions for the corporate world.
    • ACTE effective in keeping up high situation insights throughout the long term and the way that our understudies bear the downturn blues with record breaking arrangements itself is a declaration to our quality.

    Get Certified By MapR Certified Hadoop 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 Adequate Hadoop Trainer

    • Our Big Data Hadoop Training in Chandigarh have trainers practice and assurance to take care of any mind boggling issue. This course works with the understudies to comprehend extreme issues and discover arrangements without retaining the computations.
    • Our Corporate pioneers from driving enterprises are welcomed routinely to collaborate with understudies.
    • Mentor train the understudies to meet the assumptions for the business through our vocation advancement projects.
    • Training of understudies and furnishing them with life skills & knowledgeable coach has become a significant obligation of the establishment. Alongside specialized skill, advancement of a comprehensive character is likewise essential.
    • Mentor help understudies to create/explain their scholarly and profession interests, and their short and long haul objectives through singular directing and gathering meetings.
    • In ACTE each understudy is appointed a Tutor personnel. In a perfect world, each staff at Big Data Hadoop Training in Chandigarh coaches 10-12 understudies of each clump for projects, introductions, temporary jobs, profession directing, and so forth offering individual emotionally supportive networks, they work straightforwardly with the understudies remembering their inclinations and objectives.

    Hadoop Course Reviews

    Our ACTE Chandigarh Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.



    "I would like to recommend to the learners who wants to be an expert on Big Data just one place i.e.,ACTE institute at Anna nagar. After several research with several Training Institutes I ended up with ACTE. My Big Data Hadoop trainer was so helpful in replying, solving the issues and Explanations are clean, clear, easy to understand the concepts and it is one of the Best Training Institute for Hadoop Training"


    Software Engineer

    I have done lot of research before finding a best institute for Hadoop and at last I joined in ACTE . I like the professionalism and experienced faculty always make you think high and job oriented training with real-time example makes understand better. I really appreciate the effort of faculty and Surely suggest ACTE to my friends in Chandigarh..


    Software Engineer

    The training here is very well structured and is very much peculiar with the current industry standards. Working on real-time projects & case studies will help us build hands-on experience which we can avail at this institute. Also, the faculty here helps to build knowledge of interview questions & conducts repetitive mock interviews which will help in building immense confidence. Overall it was a very good experience in availing training in Tambaram at the ACTE Institute. I strongly recommend this institute to others for excelling in their career profession.



    I had an outstanding experience in learning Hadoop from ACTE Institute. The trainer here was very much focused on enhancing knowledge of both theoretical & as well as practical concepts among the students. They had also focused on mock interviews & test assignments which helped me towards boosting my confidence.


    Software Engineer

    The Hadoop Training by sundhar sir Velachery branch was great. The course was detailed and covered all the required knowledge essential for Big Data Hadoop. The time mentioned was strictly met and without missing any milestone.Should be recommended who is looking Hadoop training course ACTE institute in Chennai.

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    Hadoop Course FAQs

    Looking for better Discount Price?

    Call now: +91 93833 99991 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
      • Gives
      • 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 and National Institute of Education (NIE) Singapore
    • The entire Hadoop 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 Hadoop Course At ACTE?

    • Hadoop Course in ACTE is designed & conducted by Hadoop experts with 10+ years of experience in the Hadoop 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 National Institute of Education (NIE), Singapore.
    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 Hadoop batch to 5 or 6 members
    Our courseware is designed to give a hands-on approach to the students in Hadoop. 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 93800 99996 / Directly can do by'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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