Hadoop Analyst

This training course will teach students how to create robust data processing applications using Apache Hadoop. Students will learn debugging, Hadoop development, and implementation of workflows and common algorithms. Students will also learn how to leverage Hive, Sqoop, Oozie, Flume, Pig, and other Hadoop ecosystem projects


    About the Course:

    This training course is intended for professionals working in Data warehouse, Business Intelligence, Databases, Mainframes or those who are comfortable with basic SQL comfortable language and want to pursue a career in designing, development, and architecting Hadoop-based solutions.


    The key objectives of this online training are to:

    • ETL tool connectivity with Hadoop, real time case studies etc.
    • Detailed hands on with Impala for real time queries on Hadoop.
    • Writing Hive and Pig Scripts and working with Sqoop.
    • Understanding in YARN (MRv2) latest version of Hadoop Release 2.0.
    • Implementation of HBase, MapReduce Integration, Advanced Usage and Advanced Indexing.
    • Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience.
    • Implement linked-in algorithms – Identification of Shortest path for 1st level or 2nd level connection using MapReduce.
    • Guidance and Quiz to prepare for Professional Certification exams like – Cloudera, etc.
    • Ability to design and develop applications involving large data using Hadoop eco system.

    Recommended Audience:

    This course is suggested for:

    • Professionals assuming to build a career in Big Data Analytics using Hadoop Framework.
    • Java Developers/Architects, Data warehouse developers /SAAS Professionals/Architects


    • Some prior experience in any Programming Language and good analytical skills
    • Basic knowledge of UNIX, SQL scripting
    • Prior knowledge of Apache Hadoop is not required

    Why Go for Hadoop Analyst Training?

    Hadoop Analyst course is for professionals from Business Intelligence, Mainframes, databases background and as a part of this it’ll prepare you to use big data in ETL and Business Intelligent domain. As a part of this coaching you’ll find out how to integrate Hadoop with ETL tools for giant processing. This course also will prepare you for CCDH (cloudera Developer Certification Exam).

    Companies Using Hadoop:

    Amazon Web Services, IBM, Hortonworks, Cloudera, Intel, Microsoft, Pivotal, Twitter, Salesforce, AT&T Stumble upon, EBay, Yahoo, Facebook, Hulu etc.

    Career Opportunities after Hadoop course:

    Google trends tell exponential growth of Jobs in Hadoop. Check Top Job websites for Hadoop Jobs:

    Indeed: 11000+

    Simply hired: 12000+

    LinkedIn: 4500+

    Recruit.net: 8000+

    Hadoop Fundamentals

      • The Motivation for Hadoop
      • Hadoop Overview
      • Data Storage: HDFS
      • Distributed Data Processing: YARN, MapReduce, and Spark
      • Data Processing and Analysis: Pig, Hive, and Impala
      • Data Integration: Sqoop
      • Other Hadoop Data Tools
      • Exercise Scenarios Explanation

    Introduction to Pig

      • What Is Pig?
      • Pig’s Features
      • Pig Use Cases
      • Interacting with Pig

    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

    Processing Complex Data with Pig

      • Storage Formats
      • Complex/Nested Data Types
      • Grouping > Built-In Functions for Complex Data
      • Iterating Grouped Data

    Multi-Dataset Operations with Pig

      • Techniques for Combining Data Sets
      • Joining Data Sets in Pig
      • Set Operations
      • Splitting Data Sets

    Pig Troubleshooting and Optimization

      • Troubleshooting Pig
      • Logging
      • Using Hadoop’s Web UI
      • Data Sampling and Debugging
      • Performance Overview
      • Understanding the Execution Plan
      • Tips for Improving the Performance of Your Pig Jobs

    Introduction to Hive and Impala

      • What Is Hive?
      • What Is Impala?
      • Schema and Data Storage
      • Comparing Hive to Traditional Databases
      • Hive Use Cases

    Querying with Hive and Impala

      • Databases and Tables
      • Basic Hive and Impala Query Language Syntax
      • Data Types > Differences between Hive and Impala Query Syntax
      • Using Hue to Execute Queries
      • Using the Impala Shell

    Data Management

      • Data Storage
      • Creating Databases and Tables
      • Loading Data
      • Altering Databases and Tables
      • Simplifying Queries with Views
      • Storing Query Results

    Data Storage and Performance

      • Partitioning Tables
      • Choosing a File Format
      • Managing Metadata
      • Controlling Access to Data

    Relational Data Analysis with Hive and Impala

      • Joining Datasets
      • Common Built-In Functions
      • Aggregation and Windowing

    Working with Impala

      • How Impala Executes Queries
      • Extending Impala with User-Defined Functions
      • Improving Impala Performance Analyzing Text and Complex Data with Hive
      • Complex Values in Hive
      • Using Regular Expressions in Hive
      • Sentiment Analysis and N-Grams
      • Conclusion

    Hive Optimization

      • Understanding Query Performance
      • Controlling Job Execution Plan
      • Bucketing
      • Indexing Data

    Extending Hive

      • SerDes
      • Data Transformation with Custom Scripts
      • User-Defined Functions
      • Parameterized Queries

    We record every live session we hold. Video recordings of each and every session will be posted on our blog too. So, this means you can get access to what the session is about and this way you do not miss any class. But take a note of it that you can have access to these Video recordings for 6 months only from the date you start your training. Access to these videos or to other required course material will be provided using Google Drive Cloud for lifetime.

    Yes, you can cancel your enrolment. We provide a complete refund after deducting the administration fee. To know more, please go through our Refund Policy.

    We have a team of industry-expert instructors or trainers who possess 8-10 yrs. of relevant experience in various Business Technologies. Every instructor / trainer undergo our specialized training program called “Train the Trainer” at Xoomtrainings. Our trainers are trained so that our learners get a great learning experience.

    Yes, classes at Xoomtrainings are conducted through online video streaming where there is two-way communication between users and instructors. The users can speak by using a microphone, chat by sending a message through a chat window and share their screens with an instructor. For better understanding, users can take the sample recorded class on this page to know of the quality of instruction and the way the class is conducted.

    Yes, the instructor will allocate you a real-time project to have a clear understanding of how you are able to conceptualize and implement the real-world application of the course content.

    Yes, we run multiple offers from time-to-time. Please, contact the support team they will give the Coupon Code.

    Yes, we will give you a discount of Rs 1500/- on selected course if you refer someone. We also offer special discount for groups.

    Yes, we will provide you the links of the software to download (trial version) which are open source and for proprietary tools we will provide you trial version, if available.

    For your practical work, we will help you set up a Virtual Machine on your system with IDE’s. This will be local access for you. The detailed step-wise installation guides are present in your LMS which will help you install and set-up the environment for any course. In case, you come across any doubt, the 24/7 support team will promptly assist you through mail (support@xoomtrainings.in) or Phone (+91 -40-4018 3355)

    4 Mbps of internet speed is recommended to attend LIVE classes. However, we have seen people attending the classes with a much slower internet connection too.

    Yes. You will receive a Digital E-Certificate from us once you complete the course. You can include this is in your Resume to get placed better.

    Xoomtrainings is the largest online education company and a large number of recruitment firms contacts us for our student’s profiles from time-to-time. Since there is a big demand for this skill, we help our certified students get connected to prospective employers. We also help our customers prepare their resumes, work on real life projects and provide assistance for interview preparation. Having said that, please understand that we don’t guarantee any placement. However, if you go through the course diligently and complete the project you will have a very good hands on experience to work on a Live project.

    No doubt, your transaction is always safe and secure with Xoomtrainings.

    You will get 24/7 access to the blog to post your questions. Trainers will answer your questions through email within 24 hrs. of time. Also, our support team will help you 24/7 through mail (support@xoomtrainings.in) or Phone (+91-40-4018 3355 ,7093502091,92 ).

    You can give us a CALL at INDIA: +91-40-4018 3355 ,7093502091,92  Or Email at contact@xoomtrainings.in


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    • Rs.24,999.00
    • 30 Hours

    Course Features

    Lifetime access to the learning management system including Class recordings, presentations, sample code and projects

    Lifetime access to the support team (available 24/7) in resolving queries during and after the course completion

    Xoomtrainings certified based on your project performance, reviewed by our expert panel

    Xoomtrianings enjoys strong relationship with multiple staffing companies in US, UK and India. If you are looking out for exploring Placement opportunities, you can pass your resumes once you complete the course and we will help you with job assistance. We don’t charge any extra fees for passing the resume to our partners and clients

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