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Big Data Hadoop and Spark Developer

With our Big Data Hadoop and Spark Developer Training Course, you will become an expert in Hadoop by getting hands-on knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume and Sqoop.

  • 48 hrs of training.
  • Real life projects using Hadoop & Spark
  • Learn from industry experts
  • Aligned to Cloudera CCA175 exam
  • Life time access to quality e-learning content
    Big Data Hadoop and Spark Developer

    Big Data & Hadoop Spark Certification Course Overview

    Accelerate your career with our Big Data & Hadoop Certification Training by mastering Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, Pig, HBase, etc.




    Training Options

    Corporate Training

    • Flexible Training Options
    • Affordable & Flexible pricing options
    • Global Expertise
    • Highly Qualified Accredited Trainers
    • 24x7 learner assistance and support
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    Pre-Requisite for Big Data & Hadoop Spark Developer

    There are no prerequisites for taking up this Big Data & Hadoop Spark - Developer Training but it is advisable that:
      • You have prior knowledge and understanding of SQL and RDBMS.
    • Have a basic knowledge of programming languages like Python, Scala or Core Java

    Steps to get Big Data & Hadoop Spark Certification


    What you Learn?

    Domain Knowledge

    Learn elements of Hadoop system & Apache Spark


    Learn about MapReduce & how to write MapReduce code.

    Hadoop frameworks

    Learn how to use Hadoop frameworks

    Understanding HBase

    Understand HBase, use Hive and Impala for partitioning

    Hadoop Basics

    Understand Hadoop Data Base, its architecture and data storage

    Functional Programming

    Do functional programming in the Spark

    Big Data & Hadoop Spark Exam & Certification

    Those proficient in core Java & the SQL technologies can take this certification training course offered by us & become a Big Data Hadoop Architect.
    Upon successful accomplishment of Big Data Hadoop certification training, you will be awarded this industry recognized course completion certificate from us.
    No, this certification course is not an officially accredited.

    Big Data & Hadoop Spark FAQs

    The Big Data and Hadoop Certification course is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark, including the Hadoop Data File SystemHDFS, YARN, and MapReduce. You will also learn to use Pig, Hive, and Impala to process and analyze the large datasets stored in the HDFS, and use the Sqoop and Flume for data ingestion with our big data training course. You will be a master in real-time data processing using the Spark, including functional programming in Spark, understanding parallel processing in Spark, implementing Spark applications, and using Spark RDD optimization techniques. With our big data course, you will also learn the various interactive algorithms in the Spark and use Spark SQL for creating, transforming, and querying the data forms. As a part of the Big Data course, you will be required to execute the real-life, industry-based projects using CloudLab in the domains of the banking, social media, telecommunication, insurance, and e-commerce. This Big Data Hadoop certification training course will prepare you for the Cloudera CCA175 big data certification.
    The Hadoop certification training course includes 5 real-life, industry-based projects. Successful evaluation for one of the following two projects is a part of the certification eligibility criteria.
    • Project 1Domain- Banking Description: A Portuguese banking institution ran a marketing campaign to convince the potential customers to invest in a bank term deposits. Their marketing campaigns were conducted through the phone calls, and sometimes the same customer was contacted more than once. Your job is to investigate the information collected from the marketing campaign.
    • Project 2Domain- Telecommunication Description: The mobile phone service provider has launched a new Open Network campaign. The company has invited the users to raise their complaints about the towers in their locality if they have face any issues with their mobile network. The company has collected that dataset of users who raised a complaint. The fourth and fifth field of the dataset has a latitude and longitude of the users, which is most important information for the company. You must find this latitude and longitude information on the basis of the available dataset and create three clusters of the users with a k-means algorithm. For an additional practice, we have three more projects to help you start your Hadoop and the Spark journey.
    • Project 3Domain- Social Media Description: As part of a recruiting exercise, a major social media company has asked the candidates to analyze a dataset from the Stack Exchange. You will be using this dataset to arrive at certain key insights.
    • Project 4Domain- Website providing the movie-related information Description: IMDB is an online database of the movie-related information. IMDB users rate the movies on a scale of 1 to 10 -- 1 being the worst and 10 being the best -- and provide reviews. The dataset also has an additional information, such as that release year of the movie. You are tasked to analyze the data collected.
    • Project 5Domain- Insurance Description: A US-based insurance provider has decided to launch a new medical insurance programming to target various customers. To help a customer to understand the market better, you must perform a series of the data analyses by using Hadoop
    The field of the big data and analytics is a dynamic one, adapting rapidly as technology evolves an over time. Those professionals who take the initiative and excel in the big data and analytics are well-positioned to keep pace with the changes in technology space and fill growing job opportunities. Some trends in the big data include:
    • Global Hadoop Market to Reach $84.7 Billion by 2021 – Allied Market Research
    • Shortage of 1.4 -1.9 million Hadoop Data Analysts in the US alone by 2018– McKinsey
    • Hadoop Administrators in the US receive salaries up to $123,000 –



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