Big Data Hadoop & Spark Developer Course

Online bootcamp to learn Hadoop, MapReduce, Spark, Kafka, Apache Pig, Hive and more

Course Description

Today, everything we do is on the web and organizations have been able to get the new insights and making data smarter. And this has lead in a huge requirement for Certified Big Data Hadoop Developers in the market. Data Scientists work with data according to business needs. They are responsible for data analysis. Big Data Developers design and implement programs that make the analysis possible. Our Big Data Hadoop and Spark training is comprehensive and designed considering current industry job requirements by industry experts to provide in-depth learning on the key core concepts of Big Data Hadoop and Spark. Take a step ahead with AcadGild’s big data training certification and gain proficiency to work with Hadoop, MapReduce, Spark, Kafka, Apache Pig, Hive, and more.   Job Placement Assistance Program Our job place... Read More »

Today, everything we do is on the web and organizations have been able to get the new insights and making data smarter. And this has lead in a huge requirement for Certified Big Data Hadoop Developers in the market. Data Scientists work with data according to business needs. They are responsible for data analysis. Big Data Developers design and implement programs that make the analysis possible. Our Big Data Hadoop and Spark training is comprehensive and designed considering current industry job requirements by industry experts to provide in-depth learning on the key core concepts of Big Data Hadoop and Spark. Take a step ahead with AcadGild’s big data training certification and gain proficiency to work with Hadoop, MapReduce, Spark, Kafka, Apache Pig, Hive, and more.

 

Job Placement Assistance Program

Our job placement program offers students one-on-one career counselling, and the chance to work with our corporate partners.

Candidates who fulfill the following criteria will be eligible for the program:

  • Scored 75% marks or above (resulting in a Platinum certificate) in the course
  • Successfully completed at least 2 quality projects
  • Scored 80% in all the mock technical interviews
  • Was never found plagiarizing code

 

Course Prep – To bring you up to speed

Phase One – The First Steps
Setting Up: Enroll for Course, Access Dashboard, Meet Mentor, Attend Orientation

Phase Two – The Training
Practice Drills: Live Sessions, Live Coding with Mentors, Case Studies & Assignments, Capstone Project

Phase Three – The Launchpad
Career Preparation: Resume Building, Reputation Management, Mock Interviews, Networking

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Course Outcomes:
  • Intensive 4-month Program
  • Collaborative Assignments with Mentors
  • Master Popular Big Data Technologies
  • Learn Tools like Hadoop and Spark
Course Details:

Target Audience

This course is for anyone interested in big data. It is ideal for aspiring Business Analysts from different backgrounds. Our students are generally analysts, developers, managers, information architects, researchers, and other working professionals looking to advance in the field of business or data analytics.

Access Timeframe

Lifelong Access to Course Material

Prerequisites

Hadoop and Spark require basic knowledge of Linux and Java, or any other object-oriented programming language. Having said that, the course covers the basics of these to ensure that those without any prior knowledge are brought up to speed before starting the sessions on Big Data.
Certificate Info:

Type of Certification

International Certification

Format of Certification

Digital

Method of Obtaining Certification

You will get an internationally recognized certificate if you successfully complete the course.

Additional Details

Certificates are issued according to performances in assignments and projects.

Course Outline

  • Cluster setup for processing Big Data on your own computer
  • Core concepts behind big data problems, applications, and systems
  • Know to Manage big data and how Hadoop fits into this role
  • Fundamentals of Java, Scala and Linux
  • Import and export data from traditional databases using Sqoop
  • Import streaming data using Apache® Flume
  • Workflow management for Hadoop using OOZIE
  • Learn various MapReduce phases
  • Data processing methods for various file formats
  • Pig & Hive
  • HBase NoSQL database
  • Kafka components & use cases
  • Producers and consumers
  • Kafka Streams, Features, Concepts, Architecture
  • Get introduced to Apache Spark and get your Spark cluster running
  • Spark DataFrames and RDD
  • Analyze and process real world data sets with Spark SQL and Spark Streaming
  • Regression, Clustering & Classification algorithms using Spark MLLib

Technical Requirements

  • Microsoft® Windows® 7/8/10 (32- or 64-bit)
  • 4GB RAM minimum, 8 GB RAM recommended
  • Intel Core i3 or higher processor
  • Internet speed: Minimum 1 Mb/s
  • Intel® VT-x (Virtualization Technology) should be enabled

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