Big Data Hadoop Analyst

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Big Data analysis is emerging as a key advantage in business intelligence for many organizations. Our Big Data and Hadoop training course lets you deep-dive into the concepts of Big Data, equipping you with the skills required for Hadoop Analyst roles. 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 analyse 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....

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Why Should you take Hadoop Analyst?

Average salary for a Big Data Hadoop Analyst is $115,819–

Hadoop Market is expected to reach $99.31B by 2022 growing at a CAGR of 42.1% from 2015 - Forbes

Amazon, Cloudera, Data Stax, DELL, EMC2, IBM, Microsoft & other MNCs worldwide use Hadoop


• 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

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

• Pig Latin Syntax
• Loading Data
• Simple Data Types
• Field Definitions
• Data Output
• Viewing the Schema
• Filtering and Sorting Data
• Commonly-Used Functions

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

• Techniques for Combining Data Sets
• Joining Data Sets in Pig
• Set Operations
• Splitting Data Sets
[curriculum_content question="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

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

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

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

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

• How Impala Executes Queries
• Extending Impala with User-Defined Functions
• Improving Impala Performance

• Complex Values in Hive
• Using Regular Expressions in Hive
• Sentiment Analysis and N-Grams
• Conclusion

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

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

• Comparing MapReduce, Pig, Hive, Impala, and Relational Databases
Which to Choose?

Training Option

Self-Paced Learning


  • Learn at your convenient time and pace
  • Gain on-the-job kind of learning experience through high quality Videos built by industry experts.
  • Interactive Sessions as good as Classroom experience.
  • Learn end to end course content that is similar to instructor led virtual/classroom training.
  • Cost Effective as well as Convenient.

Blended Learning

  • Everything in Self-Paced Plus
  • Learn in an instructor-led online training class
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Corporate Training

Customized to your team’s needs

  • Customized learning delivery model (self-paced and/or instructor-led)
  • Flexible pricing options
  • Enterprise grade learning management system (LMS)
  • Enterprise dashboards for individuals and teams
  • 24×7 learner assistance and support
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Course Description

Big Data Hadoop Analyst

The Hadoop Analyst training enables you to work with the versatile frameworks of the Apache Hadoop ecosystem. This Big Data Analyst course covers master Big Data Analysis using Hadoop, Pig and Hive.

What you will Learn in this Course?

  • Apache Hadoop Fundamentals
  • Introduction to Apache Hive and Impala
  • Querying with Apache Hive and Impala
  • Data Management
  • Data Storage and Performance
  • Analytic Functions and Windowing
  • Analysing Text
  • Apache Hive Optimization
  • Extending Apache Hive and Impala
  • Preparing for the Cloudera Data Analyst Training (CCA 159)exam

What are the pre-requisites for this Hadoop Analyst Certification Course?

There are no pre-requisites as such for Hadoop Analyst Training, but basic knowledge of Linux command line interface will be considered beneficial.

Key Features

Self-Paced Online Video

• Self-paced Videos: 30 Hrs
• Exercises & Project Work: 60 Hrs
• A 360-degree learning approach that you can adapt to your learning style

1 Year Unlimited Access

You get 1 Year unlimited access to LMS where presentations, quizzes, installation guide & class recordings are there.

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket-based tracking system


Successfully complete your course and Tecklearn will certify you as a Hadoop Analyst

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various Hadoop Analyst concepts.

Learn at your Convenience

• Certification and Job Assistance
• Flexible Schedule


Big Data Hadoop Analyst

Sandeep Das

Big Data Hadoop Analyst

Mrinalini Kulkarni

The courses are designed with proper thoughts to do justice to the prevailing demand in market. But most importantly the way they handle the... Read More

Big Data Hadoop Analyst

Uma Dhavale

Thank You for the sessions that helped me gaining knowledge in Hadoop .Trainers experience helped me to get detailed information regarding t... Read More

Big Data Hadoop Analyst

Abha Pandey

Excellent curriculum and learning method online . Also appreciate for quick help and co-ordination with Tecklearn Team . Looking forward for... Read More

Big Data Hadoop Analyst

Subhash K Kulkarni

Tecklearn is a revolution in Big Data training. They have perfect material prepared professionally by highly qualified professionals and the... Read More


This Hadoop Analyst course is designed for clearing the Cloudera CCA Data Analyst Exam (CCA159). The entire Hadoop Analyst 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 Hadoop Admin training you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast track your career effortlessly.
Tecklearn’s Hadoop Analyst Certification will be awarded upon the completion of the course and the project work.


  • To put your knowledge on into action, you will be required to work on 2-3 industry-based projects that discuss significant real-time use cases.
  • These projects are completely in-line with the modules mentioned in the curriculum and help you to clear the certification exam.

FAQ Content

You will never miss a lecture at Tecklearn. Tecklearn provides recordings of each class so you can review them as needed before the next session.

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover, the access to our 24x7 support team will be granted instantly as well. You can start learning right away.

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

All the instructors at Tecklearn are practitioners from the Industry with minimum 10-12 yrs. of relevant IT experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

In today’s data driven world, organizations are relying on the data. They are analysing & deriving meaningful insights from voluminous amount of data i.e. Big Data. As Big Data Market is projected to grow from $42B in 2018 to $103B in 2027, companies will look for professionals who can design, implement, test & maintain the complete Big Data infrastructure. Hadoop being the de-facto for storing & processing Big Data it is the first step towards Big Data glorious Journey. So, if you are planning to make a career in Big Data domain, now is the right time to start with Hadoop Analyst Certification Training.

Organisations have realized the importance of Big Data, & the market of Hadoop is growing exponentially. Technology Giants & MNCs such as Services, Expedia, JP Morgan Chase, Splunk, Visa, SAP, Oracle, Apple are hunting for professionals who can design, test & manage Hadoop clusters. Now is the right time to get a certification in Hadoop Analyst and stand a chance to grab your dream job.

Organisations are seizing Big Data projects to gain a competitive edge. Enterprises that do not embrace Big Data will lose their competitive edge in a decade. As Big Data sources are growing, the opportunities for professionals are also increasing. Organisations are looking for professionals who can build, manage & perform administrative tasks on Big Data clusters. If you are planning to pursue a career in Big Data domain, now is the right time to get certified in Hadoop Analyst.

With online certification training you get the flexibility to learn on your own terms.
Major advantages are:
Access to Latest Course Curriculum
Connect with Instructors around the world
Real-life Projects & Case Studies
Lifetime Access & 24x7 support
  • 12,999.00
  • 365 Days
  • Course Certificate

Course Curriculum

Haadop Anaylst Hadoop Intro -1 00:00:00
Hadop Analyst Hadoop Intro -2 00:00:00
Hadoop Analyst Hadoop Intro -3 00:00:00
Hadoop Analyst Pig -1 00:00:00
Hadoop Analyst Pig -2 00:00:00
Hadoop Analyst Pig -3 00:00:00
Hadoop Analyst Pig -4 00:00:00
Hadoop Analyst Hive and Imapala -1 00:00:00
Hadoop Analyst Hive and Imapala -2 00:00:00
Hadoop Analyst ETL 00:00:00
Hadoop Analyst Quiz 01:00:00

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