Big Data Engineering

Big Data| Volume | Data Pipe Line | Hadoop | PySpark

About the course

Big Data Engineering is designing, developing, maintaining and providing solutions for huge data problems. With this Big Data course, learn how to create Hadoop or Spark architecture with master slave process and execute large data in frameworks. You will study about creating clusters with framework, maintaining large volumes of data with back-ups and faster access, and implementing ML pipe lines for passing the data.

Eligibility

Graduation in Engineering

Time Commitment

5 weeks full time

Format

Virtual Instructor-Led Training

Language

English

Course Content

  • Introduction to Big Data
  • Five V’s of Big Data
  • Source of Big Data
  • Big Data Challenges
  • Introduction to Hadoop
  • Hadoop Architecture
  • Name Node, Data Node, Secondary Node
  • Job tracker, Task Tracker
  • HDFS
  • Map Reduce
  • Hadoop Configuration
  • Introduction to PySpark
  • RDD Programming :Overview of Spark basics - RDDs
  • Spark SQL, Datasets, and Data Frames
  • Structured Streaming: Processing structured data streams with relation queries
  • Spark Streaming
  • Applying machine learning algorithms
  • Creating Cluster
  • Data Frame
  • Pipe Line Components
  • Parameters
  • Saving and Loading Pipelines
  • Big Data Life Cycle
  • Integrating different database

Why Study With Us?

Trainer Profile Sample

Work Experience

Core Technology Faculty
  • 10 + Years of experience in data base administration and cloud technologies
  • Masters in Engineering (Big Data and Cloud Technologies)
  • Worked on Big data environment with real time experience in Hadoop / Map Reduce / Spark / AWS Cloud technologies
  • Developed real time big data solutions for Banking and Finance clients
  • Created high end distributed environment and maintained full project life cycle
  • Developed end to end data center virtualization

Skills

  • Database: Oracle, MSSQL, MySQL, NoSQL
  • Tools: Informatica, Oracle Data Integrator
  • Cloud Technologies: AWS, Microsoft Azure, Google Cloud
  • Big Data Architecture: Hadoop & Spark

Education and Awards

  • Masters in Network Engineering
  • Cloud era Certified Associate (CCA) Data Analyst
  • AWS Certified Big Data – Specialty

FAQs

The minimum requirement is a Bachelor’s degree in engineering and experience in database management system and cloud technology.
Yes, a minimum experience of two years in data engineering is required to join this program.
The exponential growth of data worldwide has led to companies investing in the management of large databases. Big Data Engineers are required to handle this Big Data and fill the wide skills gap prevalent across industries.
Yes, you will get placement assistance from NLL Academy.
The average annual compensation of a Big Data Engineer is $110,000 in USA and ranges between Rs.10, 00,000 and 20, 00,000 in India, depending on the project exposure.
After completion of the Big Data Engineering program, you may become a Data Engineer, Big Data Engineer, Hadoop Engineer or a Spark Engineer.

Contact us now for detailed curriculum and more!