This course will enable an Analyst to work on Big Data and Hadoop which takes into consideration the burgeoning demands of the industry to process and analyze data at high speeds. This Training Course will give you the right skills to deploy various tools and techniques to be a Hadoop Analyst working with Big Data.
A basic knowledge in any programming language is beneficial but not necessary.
Hadoop is gaining a steady groundswell with some of the biggest companies exclusively relying on Hadoop for making sense of Big Data. This Combo Course will help you work on the Hadoop framework and process humungous amounts of data at top speeds so as to make sense of it in real-time. There is a huge demand for professionals with the exact skills that this Training Course is providing. This shall ensure you can get top salaries and grow in your career.
Topics: Big Data, Factors constituting Big Data., Hadoop and Hadoop Ecosystem, MapReduce -Concepts of Map, Reduce, Ordering, Concurrency, Shuffle, Reducing, Concurrency., Hadoop Distributed File System (HDFS) Concepts and its Importance, Deep Dive into MapReduce – Execution Framework, Partioner, Combiner, Data Types, Key pairs., HDFS Deep Dive – Architecture, Data Replication, Name Node, Data Node, Data Flow., Parallel Copying with DISTCP, Hadoop Archives.
Topics: Installing Hadoop in Pseudo Distributed Mode, Understanding Important configuration files, their Properties and Demon Threads., Accessing HDFS from Command Line, MapReduce – Basic Exercises, Understanding Hadoop Eco-system
1.Introduction to Sqoop, use cases and Installation
2.Introduction to Hive, use cases and Installation
3.Introduction to Pig, use cases and Installation
4.Introduction to Oozie, use cases and Installation
5.Introduction to Flume, use cases and Installation
6.Introduction to Yarn
Assignment – 1
Mini Project – Importing Mysql Data using Sqoop and Querying it using Hive
Topics: How to develop MapReduce Application, writing unit test., Best Practices for developing and writing, Debugging MapReduce applications, Joining Data sets in MapReduce
Topics: What Is Hive?, Hive Schema and Data Storage, Comparing Hive to Traditional Databases, Hive vs. Pig, Hive Use Cases, Interacting with Hive
Topics: Hive Databases and Tables, Basic HiveQL Syntax, Data Types, Joining Data Sets, Common Built-in Functions, Hands-On Exercise: Running Hive Queries on the Shell, Scripts, and Hue
Topics: Hive Data Formats, Creating Databases and Hive-Managed Tables, Loading Data into Hive, Altering Databases and Tables, Self-Managed Tables, Simplifying Queries with Views, Storing Query Results, Controlling Access to Data, Hands-On Exercise: Data Management with Hive
Topics: Understanding Query Performance, Partitioning, Bucketing, Indexing Data
Topics: User-Defined Functions
Topics: What Is Pig?, Pig’s Features, Pig Use Cases, Interacting with Pig
Topics: Pig Latin Syntax, Loading Data, Simple Data Types, Field Definitions, Data Output, Viewing the Schema, Filtering and Sorting Data, Commonly-Used Functions, Hands-On Exercise: Using Pig for ETL Processing
Topics: Complex/Nested Data Types, Grouping, Iterating Grouped Data, Hands-On Exercise: Analyzing Data with Pig
Topics: Techniques for Combining Data Sets, Joining Data Sets in Pig, Set Operations, Splitting Data Sets, Hands-On Exercise
Topics: Macros and Imports, UDFs, Using Other Languages to Process Data with Pig, Hands-On Exercise: Extending Pig with Streaming and UDFs
Topics: What is Impala?, How Impala Differs from Hive and Pig, How Impala Differs from Relational Databases, Limitations and Future Directions, Using the Impala Shell
Topics: Putting it all together and Connecting Dots, Working with Large data sets, Steps involved in analyzing large data
Topics: How ETL tools work in Big data Industry, Connecting to HDFS from ETL tool and moving data from Local system to HDFS, Moving Data from DBMS to HDFS, Working with Hive with ETL Tool, Creating MapReduce job in ETL tool, End to End ETL PoC showing Hadoop integration with ETL tool.
Topics: Major Project, Hadoop Development, cloudera Certification Tips and Guidance and Mock Interview Preparation, Practical Development Tips and Techniques, certification preparation
Assignment – 3
Project 1 – Working with MapReduce, Hive, Sqoop
Problem Statement – It describes that how to import mysql data using sqoop and querying it using hive and also describes that how to run the word count mapreduce job.
Project 2 – Connecting Pentaho with Hadoop Eco-system
Problem Statement – It includes:
Topics: Quick Overview of ETL and BI, Configuring Pentaho to work with Hadoop Distribution, Loading data into Hadoop cluster, Transforming data into Hadoop cluster, Extracting data from Hadoop Cluster
Hadoop Architect is a professional who organizes, manages and governs Hadoop on a very large cluster. The most important thing Hadoop Architect must have is rich experience in Hive, HBase, MapReduce, PIG and so on.
Hadoop Developer is a person who just loves programming and he must have knowledge about Core, Jave, SQL and other languages along with remarkable skills.
Data Scientist is a professional person who produces estimates and also integrates the knowledge gathered & stored in Hadoop environments and also needs to have a great knowledge of Business as well as Big Data.
Hadoop Administrator is a person who admins Hadoop and its Data base system. He has a well and good understanding of Hadoop principles and its hardware systems.
There can be some other jobs which could be assigned to some other professional as well. For example there can be a Hadoop trainer, Hadoop consultant, Hadoop engineers & also senior Hadoop engineers, big data Engineers, Hadoop developers and also Java Engineers (DSE Team).
1. Java 1.6.x or higher, preferably from Sun -see HadoopJavaVersions 2. Linux and Windows are the supported operating systems, but BSD, Mac OS/X, and OpenSolaris are known to work.
In Intellipaat self-paced training program you will receive recorded sessions, course material, Quiz and assignments.The courses are designed such that you will get real world exposure and focused on clearing relevant certification exam. After completion of training you can take quiz which enable you to check your knowledge and enables you to clear relevant certification at higher marks/grade also you will be able to work on the technology independently.
If you are looking for Hadoop Jobs and you are a Hadoop professional then there are a lot of jobs about Hadoop and related technologies. There are many companies like Google, Yahoo, Apple, Hortonworks, ebaY, Facebook, ORACLE, IBM, Microsoft, and CISCO which are looking for skilled professionals having experience in this field and are capable of managing the Big Data in their companies. If you are a professional of Hadoop then you could be one of them. These companies such as Google, Facebook, and ORACLE etc are looking for the Hadoop Professionals at different levels such as database Administrators, Hadoop Professionals having complete operational skills, Hadoop engineers & also senior Hadoop engineers, big data Engineers, Hadoop developers and also Java Engineers (DSE Team).
Research of IDC shows that the Big Data market revenue’s will grow at 31.7 percent a year and it will hit the $23.8 billion mark in 2016. According to the latest research by market the Hadoop and Big Data world widely is expected to growth about 13.9$ billion by 2017.
In Self-paced courses trainer is not available whereas in Online training trainer will be available for answering queries at the same time. In self-paced course we provide email support for doubt clearance or any query related to training also if you face some unexpected challenges we will arrange live class with trainer.
All Courses are highly interactive to provide good exposure. You can learn at your own place and at your leisure time. Prices of self-paced is training is 75% cheaper than online training. You will have lifetime access hence you can refer it anytime during your project work or job.
Yes, at the top of the page of course details you can see sample videos.
As soon as you enroll to the course, your LMS (The Learning Management System) Access will be Functional. You will immediately get access to our course content in the form of a complete set of previous class recordings, PPTs, PDFs, assignments and access to our 24×7 support team. You can start learning right away.
24/7 access to video tutorials and Email Support along with online interactive session support with trainer for issue resolving.
Yes, You can pay difference amount between Online training and Self-paced course and you can be enrolled in next online training batch.
Yes, we will provide you the links of the software to download which are open source and for proprietary tools we will provide you trail version if available.
Please send an email. You can also chat with us to get an instant solution.
Intellipaat verified certificates will be awarded based on successful completion of course projects. There are set of quizzes after each couse module that you need to go through . After successful submission, official Intellipaat verified certificate will be given to you.
Towards the end of the Course, you will have to work on a Training project. This will help you understand how the different components of course are related to each other.
Classes are conducted via LIVE Video Streaming, where you get a chance to meet the instructor by speaking, chatting and sharing your screen. You will always have the access to videos and PPT. This would give you a clear insight about how the classes are conducted, quality of instructors and the level of Interaction in the Class.
Yes, we do keep launching multiple offers, please see offer page.
We will help you with the issue and doubts regarding the course. You can attempt the quiz again.
This course is designed for clearing the Intellipaat Hadoop Analyst exam.
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 quiz that perfectly reflects the type of questions asked in the certification exam and helps you score better marks.
The certification will be awarded on the completion of assignments and Project work (upon expert review) and on scoring of at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
This course is designed for clearing Cloudera Certification for Hadoop. At the end of the course there will be a quiz and project assignments once you complete them you will be awarded with Intellipaat Course Completion certificate.
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