Big Data

1k+ rating
  • Duration - 5.5 Months
  • 67 lectures
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Description

"Data" is important part of life. Data which is in Huge amount is nothing but "BigData". Now, If you work in human services because you hate math, terms like “data,” “quantitative analysis,” or “pivot table” might sound scary. Don’t be intimidated! Data does not have to be complicated. Simply stated, data is useful information that you collect to support organizational decision-making and strategy.

About BigData

"Data" is important part of life. Data which is in Huge amount is nothing but "BigData". Now, If you work in human services because you hate math, terms like “data,” “quantitative analysis,” or “pivot table” might sound scary. Don’t be intimidated! Data does not have to be complicated. Simply stated, data is useful information that you collect to support organizational decision-making and strategy.

If data is having this much importance then how to handle this huge data?

Answer is simple, using HADOOP technology.

Current or legacy data storage & handlings (RDBMS) are not suitable for BigData( Huge volume) processing & also the response time is low or perfornamce is not upto the mark for Relational Database.

Roles and responsibilities of Data Engineer/Bigdata Developer

  • Work closely with the development team to assess existing Big Data infrastructure
  • Design and code Hadoop applications to analyze data compilations
  • Create data processing frameworks
  • Extract and isolate data clusters
  • Test scripts to analyze results and troubleshoot bugs
  • Create Scala/Spark jobs for data transformation and aggregation
  • Produce unit tests for Spark transformations and helper methods
  • Write Scaladoc-style documentation with all code
  • Design data processing pipelines
  • Interaction with Data Scientist team for understanding flow or design flow of data/pipeline.

Eligibility

  • All Engineering background students.
  • BCS/MCS/BCA/MCA/BSC computers/MSC computers
     

Why Big Data

  • Current or legacy data storage & handlings (RDBMS) are not suitable for BigData( Huge volume) processing & also the response time is low or performance is not upto the mark for Relational Database.

Key features for your course Software Testing?

  • Best Faculties with Industrial Experience
  • Updated Curriculum as per industry requirment
  • Daily Mocks: We will create a group of students to improve communication, presentation, question answering, doubt clearing, and knowledge sharing.
  • Weekly Mock Interviews: Conducting interviews from industry experts to get real time interview experience and also to evaluate the weekly performance of students
  • Hands on demostration of real time projects
  • Final Project Interviews
  • Resume Preparation from High-Skilled Faculty
  • Assistance in Uploading Resumes on Different Jobs portals with recent skill sets to get more interview calls
  • HR Discussion Information
Courses

Big Data

This course includes:
  • Daily Mock interview
  • Weekly Mock interview
  • Weekly Assignment
  • Full lifetime access
  • Certificate of completion
Enroll Now
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