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Big Data Hadoop Certification Training in Philadelphia

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Upcoming Batches

29- May - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

31- May - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

03- Jun - 2023

Weekend Regular

(10:00 AM - 01:30 PM)

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

03- Jun - 2023

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(09:00 AM - 02:00 PM)

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

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  • You will not only gain knowledge of Big Data Hadoop Certification Certification and advanced concepts, but also gain exposure to Industry best practices
  • Experienced Trainers and Lab Facility
  • Big Data Hadoop Certification Professional Certification Guidance Support with Exam Dumps
  • Practical oriented / Job oriented Training. Practice on Real Time project scenarios.
  • We have designed an in-depth course so meet job requirements and criteria
  • Resume & Interviews Preparation Support
  • 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.
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Course Objectives

    Big Data Hadoop skills are in demand – this is an undeniable fact! Hence, there is an urgent need for IT professionals to keep themselves in trend with Big Data Hadoop and Big Data technologies. Apache Big Data Hadoop provides you with means to ramp up your career and gives you the following advantages: Accelerated career growth.
    Big Data Hadoop is the supermodel of Big Data. If you are a Fresher there is a huge scope if you are skilled in Big Data Hadoop. The need for analytics professionals and Big Data architects is also increasing . Today many people are looking to pursue their big data career by grabbing big data jobs as freshers.
    Even as a fresher, you can get a job in Big Data Hadoop domain. It is definitely not impossible for anyone to land a job in the Big Data Hadoop domain if they invest their mind in preparing and putting their best effort in learning and understanding the Big Data Hadoop concepts.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for Big Data Hadoop. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
    A Big Data Hadoop Cluster uses Master-Slave architecture. It consist of a Single Master (NameNode) and a Cluster of Slaves (DataNodes) to store and process data. Big Data Hadoop is designed to run on a large number of machines that do not share any memory or disks. These DataNodes are configured as Cluster using Big Data Hadoop Configuration files. Big Data Hadoop uses a concept of replication to ensure that at least one copy of data is available in the cluster all the time. Because there are multiple copy of data, data stored on a server that goes offline or dies can be automatically replicated from a known good copy.
  • To learn Big Data Hadoop and build an excellent career in Big Data Hadoop, having basic knowledge of Linux and knowing the basic programming principles of Java is a must. Thus, to incredibly excel in the entrenched technology of Apache Big Data Hadoop, it is recommended that you at least learn Java basics.
  • Learning Big Data Hadoop is not an easy task but it becomes hassle-free if students know about the hurdles overpowering it. One of the most frequently asked questions by prospective Big Data Hadoopers is- “How much java is required for Big Data Hadoop”? Big Data Hadoop is an open source software built on Java thus making it necessary for every Big Data Hadooper to be well-versed with at least java essentials for Big Data Hadoop. Having knowledge of advanced Java concepts for Big Data Hadoop is a plus but definitely not compulsory to learn Big Data Hadoop. Your search for the question “How much Java is required for Big Data Hadoop?” ends here as this article explains elaborately on java essentials for Big Data Hadoop.
    Apache Big Data Hadoop is an open source platform built on two technologies Linux operating system and Java programming language. Java is used for storing, analysing and processing large data sets. Big Data Hadoop is Java-based, so it typically requires professionals to learn Java for Big Data Hadoop. Yes, you can learn Big Data Hadoop, without any basic programming knowledge . The only one thing matters is your dedication towards your work. If you really want to learn something, then you can easily learn. It also depends upon on which profile you want to start your work like there are various fields in Big Data Hadoop.

Will I Be Given Sufficient Practical Training In Big Data Hadoop Online Training in Philadelphia?

    Our course ware is designed to give a hands-on approach to the students in Big Data 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.

Is it worth learning Big Data Hadoop Course?

    Yes It is worth , Future will be bright. Learning Big Data Hadoop will definitely give you a basic understanding about working of other options as well. Moreover, several organizations are using Big Data Hadoop for their workload. So there are lot of opportunities for good developers in this domain. Indeed it is! No Learning Big Data Hadoop is not very difficult. Big Data Hadoop is a framework of java. Java is not a compulsory prerequisite for learning Big Data Hadoop. Big Data Hadoop is an open source software platform for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware.

How long would it take to learn Big Data Hadoop?

    Big Data Hadoop framework can be coded in any language, but still, Java is preferred. For Big Data Hadoop, the knowledge of Core Java is sufficient, and it will take approximately 5-9 months. Learning Linux operating system: - It is recommended to have a basic understanding and working of the Linux operating system.

Top reasons to consider a career in Big Data Hadoop Training in Philadelphia?

    Big Data Hadoop brings in better career opportunities in 2015. Learn Big Data Hadoop to pace up with the exponentially growing Big Data Market. Increased Number of Big Data Hadoop Jobs. Learn Big Data Hadoop to pace up with the increased adoption of Big Data Hadoop by Big data companies.
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Overview of Big Data Hadoop Training in Philadelphia

ACTE Applied Big Data Hadoop Courses are designed as complete studying reports to help your adventure from the primary exercising to a brand new profession. We lower back it with an activity to assure your peace of mind. Big Data Hadoop Training in philadeiphia All the ideas mentioned had been intuited from an essential stage to a sophisticated stage with sensible implementation at each level of the direction permitting each direction player to grasp the abilities no matter the historical past they arrive from.Big Data Hadoop abilities are in call for – that is a simple fact! Hence, there's a pressing want for IT experts to maintain themselves in fashion with Big Data Hadoop and Big Data technology. Apache Big Data Hadoop affords you the approach to ramp up your profession and offers you the subsequent advantage: Accelerated professional growth.

To study Big Data Hadoop and construct a remarkable profession in Big Data Hadoop, having a fundamental understanding of Linux and understanding the fundamental programming standards of Java is a must. Thus, to pretty much excel withinside the entrenched generation of Apache Big Data Hadoop, it's far advocated which you as a minimum study Java basics.

Additional Info

Introduction of Big Data Hadoop:

Learning Big Data Hadoop isn't always a clean venture however it will become hassle-loose if college students understand approximately the hurdles overpowering it. One of the maxima regularly requested questions with the aid of using potential Big Data Hadoop is- “How a great deal java is needed for Big Data Hadoop”? Big Data Hadoop is an open-supply software program constructed on Java hence making it essential for each Big Data Hadoop to be well-versed with as a minimum java necessity for Big Data Hadoop. Having an understanding of superior Java ideas for Big Data Hadoop is a plus however without a doubt now no longer obligatory to study Big Data Hadoop. Your look for the question “How a great deal Java is needed for Big Data Hadoop?” ends right here as this text explains elaborately on java necessities for Big Data Hadoop.

Education Required for Career in Hadoop:

Like many rising facts technology, Hadoop doesn’t call for any unique academic historical past as such. Around 1/2 of Hadoop, builders are from non-pc technological know-how backgrounds like Statistics or Physics. So it's far clean that the historical past isn't always a limitation to coming into the arena of Hadoop furnished you're geared up to study basics. There are exact online publications that cowl Hadoop – the only from eduCBA is the nice example – grasp-apache-Hadoop

Further, in case you need to transport deeper into a selected location of Hadoop cluster control or facts modeling in Hive substances on every unique subject matter to be had as online publications and textbooks, maximum of the time Hadoop clusters can be an installation in a cloud dealer like AWS or Azure. So get acquainted with any cloud dealer of your desire will assist loads. Hadoop carrier from AWS is referred to as EMR.

The famous specialization includes :
  • Spark – Scalable in-reminiscence facts processing engine
  • HBase – No SQL Database on the pinnacle of HDFS
  • Beam – Streaming first method facts processing
  • Pig – Data transformation(ETL) scripting
  • Hive – Data warehousing
  • Mahout, Spark MLlib – Scalable Machine Learning on Hadoop
  • Apache Drill – SQL engine on Hadoop
  • Flume, Sqoop – Data Ingesting Services
  • Solr & Lucene – Searching & Indexing

Career Path in Hadoop:

According to Stack Overflow Survey 2017 results, Hadoop is main withinside the maximum famous and maximum cherished framework withinside the Big Data space ( Survey Link). This is feasible most effective due to the fact humans from exceptional IT views determined Hadoop as a cap potential profession direction and need to transfer.Whatever your present-day function is IT, there can be a without difficulty adaptable transfer to a profession withinside the Hadoop world.

Some famous examples

Software Developer(Programmer): Hadoop Data Developer who offers exceptional Hadoop abstraction SDKs and derives fee from facts.

Data Analyst: So you're gifted in SQL.Huge possibility in Hadoop to paintings on SQL engines like Hive or Impala

Business Analyst: Organisations seeking to end up extra worthwhile the usage of passively accrued facts and a commercial enterprise analyst function is vital in this.

ETL Developer: If you're operating as a conventional ETL developer, you may without difficulty shift to Hadoop ETL the usage of Spark equipment.

Testers: There is a large call for testers withinside the Hadoop world. By information the basics of Hadoop and facts profiling, any testers can transfer to this function.

BI/DW professions: Can without difficulty transfer to Hadoop Data architecting to Data modeling.

Senior IT experts: With deep information about the area and present demanding situations withinside the facts world, a senior expert can end up a representative with the aid of using learning how Hadoop seeking to clear up those demanding situations.

Job Positions

MapReduce Developer: This is essentially a Java developer function that additionally recognizes how Hadoop structures paintings internally. There is an abstraction like Hive or Pig to be had nevertheless MapReduce jobs are essential for high-appearing structures. MapReduce builders are the only ones who know a machine inside and out and paid simply high.

Hadoop Administrators: These are humans liable for maintaining the Hadoop cluster healthful and appearing. This may also consist of usual Hadoop administrator obligations like ordinary machine fitness checks, however, maximum obligations are had to recognize Hadoop machine architecture.

DevOps: Deploy new machine additives and different improvement-associated modifications withinside the Hadoop cluster. The duty of this function varies loads and relies upon the lifestyle of an organization.

Data Developer: Data processing on the pinnacle of Hadoop. This is one of the maximum famous roles withinside the Hadoop environment. People from SQL or analytics backgrounds are nice in shape for those roles. Mostly paintings on a high-stage abstraction of Hadoop like Hive or Pig.

Data protection admin: Data is the maximum treasured asset, and securing it's far maximum important. Security admins make sure enterprise-trendy guidelines and nice practices to guard facts, information a machine’s limitations.

Data Visualizer: Handle next-era visualization equipment which permits dynamic facts cutting and aggregation with in-reminiscence facts caching

ETL Developer: Transform facts for facts nice development or as according to commercial enterprise common sense the usage of Hadoop environment equipment. ETL method is probably streaming or batch.System Architect: Design high-appearing structures thinking about facts availability and sturdiness in a cost-powerful manner. Depends closely on the Hardware provider.

Data Architect: Apart from the conventional Logical/Physical layout of facts, loads of factors like column encoding, denormalization, partitioning layout, etc. can be the duty of the facts architect.

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how Hadoop fulfills the needs of the one:

  • Through its cap potential to shop massive quantities of facts quickly
  • Its computing prowess is an end result of the dispensed version of computing. The variety of nodes is massive.
  • Increased fault tolerance in view that more than one nodes are at paintings. If one in every one of them fails, venture execution may be redirected to different nodes.
  • Through low cost, because the open-supply framework is loose and commodity software program is used to shop massive quantities of facts
  • Through accelerated and clean scalability in view that most effective a node is to be introduced whilst machine, enlargement is needed.

Scope of Hadoop withinside the future:

Hadoop is a generation of the future, mainly in massive enterprises. The quantity of facts is most effective going to grow and simultaneously, the want for this software program goes to upward push most effective.

In 2018, the worldwide Big Data and commercial enterprise analytics marketplace stood at US$ 169 billion and with the aid of using 2020, it's far anticipated to develop to US$ 274 billion. Moreover, a PwC file predicts that with the aid of using 2020, there can be around 2.7 million activity postings in Data Science and Analytics withinside the US alone.

And the engineers who can fill that want are going to be only a few due to one vital limitation: MapReduce is a computational version this is used for writing packages jogging in Hadoop. Ask one in every one of your batchmates in the event that they understand a way to write in MapReduce and you will draw a clean on the subject of the call most effectively. Skilled engineers withinside the Analytics branch might additionally be tough to return back with the aid of using. And yet, the marketplace is most effective increasing because the graph beneath neath depicts

You will have one of the following profiles. The earnings figures are consultant of the Indian subcontinent:

1.Hadoop Developer

The important venture might be to increase Hadoop technology the usage of Java, HQL, and scripting languages. Offered earnings are among INR five-10 LPA

2. Hadoop Architect

The one that plans and designs the Big Data architecture. he/ she serves at the top of the assignment and manages improvement and deployment throughout Hadoop packages. The earnings variety is INR September 11 LPA.

3. Hadoop Tester

Once the software is geared up, the tester assessments it for any mistakes and fixes bugs, damaged code snippets, etc. The proffered earnings are among INR five-10 LPA.

4. Hadoop Administrator

installs and video display units the Hadoop clusters the usage of tracking equipment like Nagios, Ganglia, etc. earnings varies among INR 10-15 LPA.

5. Data Scientist

Using large facts equipment and statistical techniques, a facts scientist solves commercial enterprise-associated troubles and performs a vital function in figuring out the course of the organization. The earnings variety is among INR 10-15 LPA. Companies hiring Hadoop experts

Any organization on the lookout for a Big Data or Analytics expert goes to needs a person who is ideal at the usage of Hadoop. You can search for activity possibilities in one of the following corporations:

  • Cisco
  • Dell
  • EY
  • IBM
  • Google
  • Siemens
  • Twitter
  • OCBC bank

Almost every enterprise is in want of a Hadoop expert in view that all corporations are seeking a method and benefit from the ocean of to be had facts. E-commerce, finance, insurance, IT, healthcare are a number of the beginning points.

The Benefits of Big Data Hadoop certification :

1. Using large facts cuts your charges

A current Tech Cocktail article seems at how Twiddy & Company Realtors reduce their charges with the aid of using 15%. The organization as compared upkeep costs for contractors towards the common of its different vendors. Through this method, the organization recognized and removed invoice-processing mistakes and automatic carrier schedules.

2. Using large facts will increase your efficiency

Using virtual generation equipment boosts your commercial enterprise’s efficiency. By the usage of equipment including Google Maps, Google Earth, and social media, you may do many obligations proper at your table while not having tour expenses. These equipment shop a remarkable quantity of time, too.

3. Using large facts improves your pricing

Use a commercial enterprise intelligence device to assess your finances, which could provide you with a clearer image of wherein your commercial enterprise stands.

4. You can compete with large agencies

Using the identical equipment that large agencies do permits you to be at the identical gambling field. Your commercial enterprise will become extra state-of-the-art with the aid of using taking gain of equipment which are to be had on your use.

5. Allows you to attend to neighborhood alternatives

Small agencies need to attend to the neighborhood surroundings they cater to. Big Data permits you to zoom in to your neighborhood client’s likes/dislikes and alternatives even extra. When your commercial enterprise receives to understand your customer’s alternatives blended with a private touch, you’ll have a bonus over your competition.

Big Data and Hadoop Developer Salary :

According to a Global Recruiting Fir, Randstad, the common salaries for large facts analytic experts are 50% extra than that of different IT experts.

The common earnings for large facts analytic experts withinside the non-managerial function is 8. five lakhs INR, while managers can earn a median of a whopping sixteen lakhs. These common salaries are simply large facts abilities like Hadoop and spark. For professional experts with deep analytical expertise, the salaries are even higher-facts scientists below the non-managerial roles earn median earnings of 120K while managers earn median earnings of 182K.IT experts with analytic abilities get near a 250% hike in their salaries. Many corporations in India are inclined to healthy the large hikes withinside the enterprise that applicants are seeking out whilst switching careers to rent professional expertise withinside the large facts space.

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Key Features

ACTE Philadelphia 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 and National Institute of Education (nie) Singapore.



Syllabus of Big Data Hadoop Certification Course in Dallas
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
  • 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 Big Data Hadoop Certification Projects

Project 1
Customer churn analysis –Telecom Industry

The project involves tracking consumer complaints registered on various Platforms.

Project 2
UBER Projects

Determine dynamic pricing based on traffic congestion, Spark Streaming and Cassandra.

Our Top Hiring Partner for Placements

ACTE Philadelphia offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Big Data Hadoop Certification training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Big Data Hadoop Certification Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

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

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a physical version of your officially branded and security-marked Certificate.

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About Experienced Big Data Hadoop Certification Trainer

  • Our Big Data Hadoop Certification Training in Philadelphia. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are Big Data Hadoop Certification domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Big Data Hadoop Certification training to the students.
  • We have received various prestigious awards for Big Data Hadoop Certification Training in Philadelphia from recognized IT organizations.

Big Data Hadoop Certification Course Reviews

Our ACTE Philadelphia 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"

Priya Dharshini

Software Engineer

Best faculty here for Big Data Hadoop training in ACTE. I joined in online and the training was smooth and very real time


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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Big Data Hadoop Certification Course FAQs

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  • 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 and National Institute of Education (NIE) Singapore
  • 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 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 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 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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