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Big Data Hadoop and Spark Developer

( Certification Course )

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Start Date
Start Date may vary based on the availability of the instructor teaching the course
 		Length
The course length for the classes may vary based on the number of scheduled hours per week. Holidays and school closings may cause the course length vary as well.
 		Schedule
The standard classroom schedule is provided here. Click ‘More Start Dates’ to view Flexible schedules available for recent graduates and professionals.
 		Cost Delivery Method Financial Assistance
Payment plan option is available for this course. Please contact our finance department to learn more.
November 10, 2021 1 Month Monday - Friday $749 Online Yes
More Start Dates9:00 AM to 1:00 PM EST
Start Date November 10, 2021
More Start Dates
Length
The program length for day and evening classes may vary based on the number of scheduled hours per week. Holidays, school closings, and internship schedules may cause the program completion dates to vary as well.
 		1 Month
Schedule
The standard classroom schedule is provided here. The clinical internship schedule will vary based on the clinical site. Students must follow their assigned internship schedule, not the AIMS Education class schedule, academic calendar, or the observed holidays and breaks.
 		Monday - Friday
Cost $749
Delivery Method Online
Financial Assistance
Other financial aid options may be available for this program (scholarships, training grants, VA benefits, etc.). Please contact our financial aid department to learn more.
 		Yes
Course Overview: 

This course covers the concepts of the Big Data Hadoop framework and Hadoop ecosystem tools; distributed storage and processing; the basics of functional programming; Apache Hive; Apache Spark; and No SQL database. The course curriculum is aligned with the CCA Spark and Hadoop Developer Exam (CCA175).

Course Highlights:
  • 22 hours of online self-paced learning 
  • 52 hours of instructor-led training 
  • 4 industry-based course-end projects 
  • Interactive learning with integrated labs 
  • Curriculum aligned to Cloudera CCA175 certification exam 
Course Delivery Method: 

Online Bootcamp– Online, self-paced, video-based learning and live virtual classroom conducted by the industry’s leading big data coach. This course includes Simpliearn’s Integrated lab platform.

Prerequisites: 

Learners interested in taking this Big Data Hadoop and Spark Developer course should have a basic understanding of core Java and SQL.

Skills Covered: 
  • Data processing
  • Functional programming
  • Apache Spark
  • Parallel processing
  • Spark RDD optimization techniques
  • Spark SQL
Learning Path
  • Lesson 1

    Course Introduction

  • Lesson 2

    Introduction to Big Data and Hadoop

  • Lesson 3

    Hadoop Architecture,Distributed Storage (HDFS) and YARN

  • Lesson 4

    Data Ingestion into Big Data Systems and ETL

  • Lesson 5

    Distributed Processing - MapReduce Framework and Pig

  • Lesson 6

    Apache Hive

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  • Lesson 7

    NoSQL Databases - HBase

  • Lesson 8

    Basics of Functional Programming and Scala

  • Lesson 9

    Apache Spark Next Generation Big Data Framework

  • Lesson 10

    Spark Core Processing RDD

  • Lesson 11

    Spark SQL - Processing DataFrames

  • Lesson 12

    Spark MLLib - Modelling BigData with Spark

  • Lesson 13

    Stream Processing Frameworks and Spark Streaming

  • Lesson 14

    Spark GraphX

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Who Will Benefit: 

This Big Data Hadoop and Spark Developer course is best suited for the following professionals:

  • Analytics, BI, IT, data management, and project management professionals 
  • Architects, software developers, and professionals working on mainframe and testing
  • Aspiring data scientists and graduates looking to begin a career in big data analytics
Key Learning Outcomes: 
  • Learn how to navigate the Hadoop ecosystem and understand how to optimize its use
  • Ingest data using Sqoop, Flume, and Kafka
  • Implement partitioning, bucketing, and indexing in Hive 
  • Work with RDD in Apache Spark 
  • Process real-time streaming data 
  • Perform DataFrame operations in Spark using SQL queries 
  • Implement user-defined functions (UDF) and user-defined attribute functions (UDAF) in Spark
Accreditations:  

This Big Data Hadoop and Spark Developer course is aligned with the CCA Spark and Hadoop Developer Exam (CCA175).

Certification Criteria:
  • Completion of at least 85 percent of online self-paced learning or attendance of one live virtual classroom 
  • A score of at least 75 percent in course-end assessment 
  • Successful evaluation in at least one project

Career Outlook

Expected Growth (2019 – 2029)*
  • 15%
Annual Average US Salary*
  • $92,00 - $140,000
Demanding Fields
  • Informaon Technology
  • Finance
  • Retail
  • Real Estate
  • Engineering
  • Hospitality Management
  • Business Consulng
Job Opportunies for Professionals
  • IT Developers
  • Analytics Managers
  • Information Architects
  • Analytics professionals
  • Experienced professionals
  • Beginners or Recent
          Graduates in Bachelors or
          Master’s Degree

*Salary and job outlook information comes from the US Bureau of Labor Statistics and Projections Central. Employment outcomes are not guaranteed.

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