Big Data Hadoop Certification Training

Date Duration Time Discount Actual Price Our Price
July 27 Sun - Sat (Daily) Flexible N/A $N/A $N/A Enquiry Course
August 10 Sun - Sat (Daily) Flexible N/A $N/A $N/A Enquiry Course
September 23 Sun - Sat (Daily) Flexible N/A $N/A $N/A Enquiry Course
October 7 Sat - Sun (Two Days) Flexible N/A $N/A $N/A Enquiry Course
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Big Data is one of the most sought after technology in the market in today’s day and age is Big Data.

Big data means big information, it collection large volume of data through traditional computing techniques Hadoop. Hadoop provides that ability to store the large scale data on HDFS process. Big Data is one of the driving employment contracting on the world. It is the most important structure for data to vast arrangements of information to implement, and it quickly transforming into most needed advancements in various Professionals like.

  1. Software Developers
  2. Banking Data
  3. Data Mining
  4. Testing Professionals
  5. Stock Exchange Data
  6. Project Managers
  7. Networks and Devices Data
What is Hadoop?

Apache Hadoop is an open-source software framework for storage and large scale processing of data-sets on clusters of commodity hardware. Hadoop is an Apache top-level project being built and used by a global community of contributors and users.

What about Hadoop careers?
Hadoop Areas of expertise
  • Hadoop Administration, development
  • NoSQL and real time analytics
  • Big Data/Hadoop solution Architecture, Design & Development
  • Social Media, Community & Viral Marketing
  • Business Development, Global Scale
  • Big Data strategy
  • About online training expert trainers

BSAI Academy ensure that our online trainers are real time experts.only the online training company deliver online training programs to our valued candidates.

As part of online trainings expert continuous improvement in online trainings. Each trainer is regularly assessed to candidates given the best quality of training every time.

All our trainers are skilled trainers and addition have the real time experience with proven track record in online trainings. This experience qualifies them as a specialist in their online training delivery in their course.

Why get Big Data Hadoop Developer Certification from Collabera TACT?

As new job opportunities are arising for IT professionals in the field of “Big Data & Hadoop,” there is an enormous scope for them. According to the recent study, in 2018, there will be 181,000 Big Data roles within the U.S. By 2020, the Big Data & Hadoop market is estimated to grow at a compound annual growth rate (CAGR) 58% surpassing $16 billion.

Big Data Hadoop Developer certification offered by  BSAI Academy brings out the key ideas and proficiency for managing Big Data with Apache’s open source platform – Hadoop. Gaining in-depth knowledge on core ideas through the course and executing it on wide-ranging industry use-cases. It imparts new opportunities to organizations of all sizes and equips you to write codes on MapReduce framework. The course also consists of advanced modules like Yarn, Zookeeper, Oozie, Flume and Sqoop.

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Data storage using HDFS
This case study aims to give practical experience on Storing & managing different types of data(Structured/Semi/Unstructured) – both compressed and un-compressed.
Processing data using map reduce
This case study aims to give practical experience on understanding & developing Map reduce programs in JAVA & R and running streaming job in terminal & Ecclipse
Data integration using sqoop & flume
This case study aims to give practical experience on Extracting data from Oracle and load into HDFS and vice versa also Extracting data from twitter and store in HDFS
Data Analysis using Pig
This case study aims to give practical experience on complete data analysis using pig and create and usage of user defined function (UDF)
Data Analysis using Hive
This case study aims to give practical experience on complete data analysis using Hive and create and usage of user defined function (UDF)
Hbase-NoSql data base creation
This case study aims to give practical experience on Data table/cluster creation using Hbase
Final Project : Integration of Hadoop components
The final project aims to give practical experience on how different modules(Pig-Hive-Hbase) can be used for solving big data problems
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Introduction to Big Data
  • Introduction and relevance
  • Uses of Big Data analytics in various industries like Telecom, E- commerce, Finance and Insurance etc.
  • Problems with Traditional Large-Scale Systems
Hadoop Big Data Ecosystem
  • Motivation for Hadoop
  • Different types of projects by Apache
  • Role of projects in the Hadoop Ecosystem
  • Key technology foundations required for Big Data
  • Limitations and Solutions of existing Data Analytics Architecture
  • Comparison of traditional data management systems with Big Data management systems
  • Evaluate key framework requirements for Big Data analytics
  • Hadoop Ecosystem & Hadoop 2.x core components
  • Explain the relevance of real-time data
  • Explain how to use big and real-time data as a Business planning tool
Understanding Hadoop Cluster – Architecture and Configuration file
  • Hadoop Master-Slave Architecture
  • The Hadoop Distributed File System – Concept of data storage
  • Explain different types of cluster setups(Fully distributed/Pseudo etc)
  • Hadoop cluster set up – Installation
  • Hadoop 2.x Cluster Architecture
  • A Typical enterprise cluster – Hadoop Cluster Modes
  • Understanding cluster management tools like Cloudera manager/Apache ambari
Understanding Hadoop Core Components – HDFS & Map Reduce (Yarn)
  • HDFS Overview & Data storage in HDFS
  • Get the data into Hadoop from local machine(Data Loading Techniques) – vice versa
  • Map Reduce Overview (Traditional way Vs. MapReduce way)
  • Concept of Mapper & Reducer
  • Understanding MapReduce program Framework
  • Develop MapReduce Program using Java (Basic)
  • Develop MapReduce program with streaming API) (Basic)
Understanding Data Integration using SQOOP and Flume
  • Integrating Hadoop into an Existing Enterprise
  • Loading Data from an RDBMS into HDFS by Using Sqoop
  • Managing Real-Time Data Using Flume
  • Accessing HDFS from Legacy Systems
Understanding Data Analysis using Pig
  • Introduction to Data Analysis Tools
  • Apache PIG – MapReduce Vs Pig, Pig Use Cases
  • PIG’s Data Model
  • PIG Streaming
  • Pig Latin Program & Execution
  • Pig Latin : Relational Operators, File Loaders, Group Operator, COGROUP Operator, Joins and
  • COGROUP, Union, Diagnostic Operators, Pig UDF
  • Writing JAVA UDF’s
  • Embedded PIG in JAVA
  • PIG Macros
  • Parameter Substitution
  • Use Pig to automate the design and implementation of MapReduce applications
  • Use Pig to apply structure to unstructured Big Data
Understanding Data Analysis Using Hive
  • Apache Hive – Hive Vs. PIG – Hive Use Cases
  • Discuss the Hive data storage principle
  • Explain the File formats and Records formats supported by the Hive environment
  • Perform operations with data in Hive
  • Hive QL: Joining Tables, Dynamic Partitioning, Custom Map/Reduce Scripts
  • Hive Script, Hive UDF
  • Hive Persistence formats
  • Loading data in Hive – Methods
  • Serialization & Deserialization
  • Handling Text data using Hive
  • Integrating external BI tools with Hadoop Hive
Understanding Data Analysis Using Impala
  • Introduction to Impala & Architecture
  • How Impala executes Queries and its importance
  • Hive vs. PIG vs. Impala
  • Extending Impala with User Defined functions
Understanding Various Ecosystem (Introduction Only)
  • NoSQL database – Hbase
  • Introduction Oozie
Understanding Spark
  • Introduction to Apache Spark
  • Streaming Data Vs. In Memory Data
  • Map Reduce Vs. Spark
  • Modes of Spark
  • Spark Installation Demo
  • Overview of Spark on a cluster
  • Spark Standalone Cluster
Understanding Spark in Practice
  • Invoking Spark Shell
  • Creating the Spark Context
  • Loading a File in Shell
  • Performing Some Basic Operations on Files in Spark Shell
  • Caching Overview
  • Distributed Persistence
  • Spark Streaming Overview(Example: Streaming Word Count)
Understanding Spark: Spark with Hive
  • Analyze Hive and Spark SQL Architecture
  • Analyze Spark SQL
  • Context in Spark SQL
  • Implement a sample example for Spark SQL
  • Integrating Hive and Spark SQL
  • Support for JSON and Parquet File Formats Implement Data Visualization in Spark
  • Loading of Data
  • Hive Queries through Spark
  • Performance Tuning Tips in Spark
  • Shared Variables: Broadcast Variables & Accumulators
Understanding Spark Streaming
  • Extract and analyze the data from twitter using Spark streaming
  • Comparison of Spark and Storm – Overview
Understanding Spark GRAPHX
  • Overview of GraphX module in spark
  • Creating graphs with GraphX
Machine Learning Implementation with Spark
  • Brief introduction to Machine learning framework
  • Implement some of the ML algorithms using Spark MLLib (ML is not covered in detail in this course, for Machine Learning concept pls refer to Advance Big Data Science course or Machine Learning Specialization course)
Final Project

Consolidate all the learnings
Working on Big Data Project by integrating various key components

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What if I miss a class?

Don’t worry. You will always get a recording for the class in your inbox. Have a look at that and reach out to the faculty in case of doubts. All our live classes are recorded for self-study purpose. Hence, in case you miss a class, you can refer to the video recording and then reach out to the faculty during their doubts clearing time or ask your question in the beginning of the subsequent class.

Can I download the recordings?

Yes. We provide url for the video downloads.

Recordings are integral part of BSAI Academy intellectual property. The downloading/distribution of these recordings in anyway is strictly prohibited and illegal as they are protected under copyright act. Incase a student is found doing the same, it will lead to an immediate and permanent suspension in the services, access to all the learning resources will be blocked, course fee will be forfeited and the institute will have all the rights to take strict legal action against the individual.

Will I get a certificate in the end?

Yes. All our course are certified. As part of the course, students get weekly assignments and module-wise case studies and Exam will be taken at end after course completion. Candidates must bring 85% score on exam. Once all your submissions are received and evaluated, the certificate shall be awarded.

Do you guarantee placements?

No institute can guarantee placements, unless they are doing so as a marketing gimmick! It is on a best effort basis.

In professional environment, it is not feasible for any institute to do so, except for a marketing gimmick. For us, it is on a best effort basis but not time – bound – in some cases students reach out to us even after 3 years for career support.

Do you have a classroom option?

No. We provide only online let training.

What do I need to attend the online classes?

To attend the online classes, all you need is a laptop/PC with a basic internet connection. Students have often shared good feedback of attending these live classes through their data card or even their mobile 3G connection, though we recommend a basic broadband connection.

For best user experience, a mic-headphone is recommended to enhance the voice quality, though the laptop’s in-built mic works fine and you can ask your question over the chat as well.

How can I reach out to someone if I have doubts post class?

Students can always connect with the trainer or even schedule one-to-one time via online. During the course we also schedule periodic doubts-clearing classes though students can also ask doubts of a class in the subsequent class.

I am having difficulty coping up with my classes. What can I do?

For all the courses, we also provide the recordings of each class for their self-reference as well as revision in case you miss any concept in the class. In case you still have doubts after revising through the recordings, you can communicate with your trainer/tutor via email.

 

Can I pay in instalments?

Not for this course. The instalment options are available only for our courses which are atleast 3 months long.

What are the system requirements for the software?

It is recommended to have 64-bit operating system with minimum 8GB RAM so that the virtual lab can be installed easily

Is it feasible to attend a demo session before enrollment?

Unfortunately participation in a live class without enrollment is not possible. However, We can provide you the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.

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Big Data Hadoop Certification

The entire training course content is in line with the certification program and helps you clear Big Data Hadoop Certification Exam with ease and get the best jobs in the top MNCs. As part of this training you will be working on real time projects and assignments that have immense implications in the real world industry scenario thus helping you fast track your career effortlessly.

At the end of this training program there will be a exam that helps you score better marks in certification exam.

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Course duration: 100 hours (Atleast 60 hours live training + 6 hours video-based training + Practice and Self-study, with ~8hrs of weekly self-study). Can be provided for saturday and sunday i.e. two days in Weekened.
Video Will be provided recorded during Live Instructor-Led Training
Each module will be followed by an assignment. At the end of the course, you will be involved on a project where we expect to complete a project based on your learning. For Any help required, Your tutor will always be there to help through email or Live Support if required.
This course is designed for Big Data Hadoop where you will learn from the basic level . At the end of the course there will be a exam and project assignments once you complete them you will be awarded with BSAI Academy Course Completion certificate.
We provide flexible schedule for Online Class Training. If you could not join for the enrolled batch then you can reschedule your enrollment and join another batch and you can attend only the missed classes in another batch.
Our Trainer / Tutor will be available to help you always with your questions related to this course. If necessary then our tutor can also provide you live support by accessing your machine via remotely. The main objectives is to ensure that all yours concerns and problems faced during assignment and project work are solved accordingly on time.
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