This Apache Hadoop Developer Training will help you get a detailed idea about Big Data and Hadoop. Some of the topics included are introduction to the Hadoop ecosystem, understanding of HDFS and MapReduce including MapReduce abstraction. Learn to install, implement various components of Hadoop like Pig, Hive, Flume, Sqoop and YARN.
Hadoop is a distributed computing system that works on commodity hardware on a scale and speed that is just not possible for other database processing systems to match. Due to this there is a huge demand for Hadoop Developers who can deploy Hadoop on a massive scale. This training equips you with the right skill sets needed to take the Professional Hadoop Developer Cloudera Certification. This Hadoop Certification is your passport to the most sought-after jobs in the Big Data world.
Big Data, Factors constituting Big Data,What is Hadoop?,Overview of Hadoop Ecosystem,Map Reduce -Concepts of Map, Reduce, Ordering, Concurrency, Shuffle,Reducing, Concurrency,Hadoop Distributed File System (HDFS) Concepts and its Importance,Deep Dive in Map Reduce – Execution Framework, Partitioner, Combiner, Data Types, Key pairs,HDFS Deep Dive – Architecture, Data Replication, Name Node, Data Node, Data Flow,Parallel Copying with DISTCP, Hadoop Archives
Installing Hadoop in Pseudo Distributed Mode, Understanding Important ,configuration files, their Properties and Demon Threads,Accessing HDFS from Command Line,Map Reduce – Basic Exercises,Understanding Hadoop Eco-system,Introduction to Sqoop, use cases and Installation,Introduction to Hive, use cases and Installation,Introduction to Pig, use cases and Installation,Introduction to Oozie, use cases and Installation,Introduction to Flume, use cases and Installation,Introduction to Yarn
Mini Project – Importing Mysql Data using Sqoop and Querying it using Hive
How to develop Map Reduce Application, writing unit test,Best Practices for developing and writing, Debugging Map Reduce applications,Joining Data sets in Map Reduce,Hadoop API’s,Introduction to Hadoop Yarn,Difference between Hadoop 1.0 and 2.0
Project 1 – Hands on exercise – end to end PoC using Yarn or Hadoop 2.
Real World Transactions handling of Bank,Moving data using Sqoop to HDFS,Incremental update of data to HDFS,Running Map Reduce Program,Running Hive queries for data analytics
Project 2 – Hands on exercise – end to end PoC using Yarn or Hadoop 2.7
Running Map Reduce Code for Movie Rating and finding their fans and average rating
A. Introduction to Pig
What Is Pig?,Pig’s Features,Pig Use Cases,Interacting with Pig
B. Basic Data Analysis with Pig
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
C. Processing Complex Data with Pig
Complex/Nested Data Types,Grouping,Iterating Grouped Data,Hands-On Exercise: Analyzing Data with Pig
A. Introduction to Hive
What Is Hive?,Hive Schema and Data Storage,Comparing Hive to Traditional Databases,Hive vs. Pig,Hive Use Cases,Interacting with Hive
B. Relational Data Analysis with Hive
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
C. Hive Data Management
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
D. Hive Optimization
Understanding Query Performance,Partitioning,Bucketing,Indexing Data
What is Hbase,Where does it fits,What is NOSQL
Hadoop Multi Node Cluster Setup using Amazon ec2 – Creating 4 node cluster
setup,Running Map Reduce Jobs on Cluster
Delving Deeper Into The Hadoop API,More Advanced Map Reduce Programming, Joining Data Sets in Map Reduce,Graph Manipulation in Hadoop
Major Project, Hadoop Development, cloudera Certification Tips and Guidance and Mock Interview Preparation, Practical Development Tips and Techniques,certification preparation
1. Project – Working with Map Reduce, 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.
2. Project – Hadoop Yarn Project – End to End PoC
Problem Statement – It includes:
Import Movie data,Append the data,How to use sqoop commands to bring the data into the hdfs,End to End flow of transaction data,How to process the real word data or huge amount of data using map reduce program in terms of movie etc.
Intellipaat is the pioneer of Hadoop training. This in-depth Hadoop developer training will help you master complete Hadoop development. You will trained in the domains of HDFS, MapReduce, working with various components of Hadoop like Pig, Hive, Sqoop, YARN and others. This training is in line with clearing the Hadoop component of CCA Spark and Hadoop Developer Certification (CCA175).
Intellipaat offers lifetime access to videos, course materials, 24/7 Support, and course material upgrades to latest version at no extra fees. For Hadoop and Spark training you get the Intellipaat Proprietary Virtual Machine for Lifetime and free cloud access for 6 months for performing training exercises. Hence it is clearly a one-time investment. We are also exclusively partnered with IBM for providing you IBM Certified Hadoop Professional training as well.
Intellipaat basically offers the self-paced training and online instructor-led training. Apart from that we also provide corporate training for enterprises. All our trainers come with over 12 years of industry experience in relevant technologies and also they are subject matter experts working as consultants. You can check about the quality of our trainers in the sample videos provided.
If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers. The best part is that you can contact Intellipaat even after completion of training to get support and assistance. There is also no limit on the number of queries you can raise when it comes to doubt clearance and query resolution.
Yes, you can learn Hadoop without being from a software background. We provide complimentary courses in Java and Linux so that you can brush up on your programming skills. This will help you in learning Hadoop technologies better and faster.
The Intellipaat self-paced training is for people who want to learn at their own leisurely pace. As part of this program we provide you with one-on-one sessions, doubt clearance over email, 24/7 Live Support, 1yr of cloud access and lifetime LMS and upgrade to the latest version at no extra cost. The prices of self-paced training can be 75% lesser than online training. While studying should you face any unexpected challenges then we shall arrange a Virtual LIVE session with the trainer.
We provide you with the opportunity to work on real world projects wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various Hadoop components making you perfectly industry-ready. These projects could be in exciting and challenging fields like banking, insurance, retail, social networking, high technology and so on. The Intellipaat projects are equivalent to six months of relevant experience in the corporate world.
Yes, Intellipaat does provide you with placement assistance. We have tie-ups with 80+ organizations including Ericsson, Cisco, Cognizant, TCS, among others that are looking for Hadoop professionals and we would be happy to assist you with the process of preparing yourself for the interview and the job.
Yes, if you would want to upgrade from the self-paced training to instructor-led training then you can easily do so by paying the difference of the fees amount and joining the next batch of classes which shall be separately notified to you.
Upon successful completion of training you have to take a set of quizzes, complete the projects and upon review and on scoring over 60% marks in the qualifying quiz the official Intellipaat verified certificate is awarded.The Intellipaat Certification is a seal of approval and is highly recognized in 80+ corporations around the world including many in the Fortune 500 list of companies.
This course is designed for clearing the Hadoop component of the Cloudera Spark and Hadoop Developer Certification (CCA175) Exam. The entire training course content is in line with this certification program and helps you clear it 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 quizzes that perfectly reflect the type of questions asked in the respective certification exams and helps you score better marks in certification exam.
Intellipaat Course Completion Certification will be awarded on the completion of Project work (on expert review) and upon 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 CCA Spark and Hadoop Developer. 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.
30th March 2017
27th March 2017
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