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Big Data Engineering in Collaboration with IBM

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$686

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Course Features

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Duration

100 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Teaching Type

Instructor Paced

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Video Content

100 hours

Course Description

Big Data Engineering is an IT profession that involves the creation, testing, and maintenance of complex data processing systems that can handle large quantities of data.

Big data engineers are responsible for cleaning, transforming, enriching and integrating different types of data so that downstream users can extract comprehensive statistical information. Big data is a large volume of unstructured data that can be difficult to manage.

Organizations collect and store a lot of data created by humans. Smart Internet of Things (IoT) devices, social media and audio, video, and images could all be sources of data. This data can be used to predict trends and combat crime, advertise, prevent disease, and so on.

Careervira Take

DataTrained offers this advanced certification course in collaboration with IBM to help the candidates learn and handle big data and get valuable insights about the new-age tools. Professionals with a basic understanding of the Linux operating system and R, Scala, Python or programming language can pursue this course. Through this program, the learners equip themselves with invaluable skills, including AI, Big Data analytics, SQL and Data science. Featured by instructor-moderated discussions, hands-on sessions, case-based educational method and a final capstone project, candidates enjoy a seamless learning experience.

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Course Credibility

This course is an excellent opportunity for all the candidates to learn from an eminent faculty panel and lea...
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Pedagogy

The comprehensive course curriculum has been designed by top faculty members from IITs, IBM and leading indus...
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Hands-on training

The program aims to guide the learners in the critical concepts of Big Data. The candidates are trained via a...
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Career impact

The comprehensive curriculum is designed to help the learners master the industry's key concepts and help the...
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Pricing

This certification program presents many perks to the enrolled candidates. They learn under the supervision o...
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Assessment

The objective of the course is to help the candidates master all the crucial topics of Big Data. Hence, regul...

Course Overview

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Live Class

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Internship

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Virtual Labs

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Job Assistance

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Alumni Network

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Human Interaction

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International Faculty

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Case Based Learning

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Post Course Interactions

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Hands-On Training,Industry Exposure,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

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Basic Linux Operating System knowledge

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Basic understanding of the Scala, Python, R or Java programming languages

What You Will Learn

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Learn to handle Big Data and derive valuable insights with IBM's Big Data tools

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You are going to learn the right way to store, manage, access data and information with technologies like Hadoop and also Spark as applied by the IBM BigInsights products

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SQL access for Hadoop

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Spark Fundamentals

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Spark Advanced

Target Students

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Professionals

Course Instructors

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Dr. Deepika Sharma

Training Head, Datatrained

Research Scientist with a PhD in computer science and 10+ years of hands-on experience.
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Asma Desai

Developer, IBM

Asma Desai just recently started with IBM. She has developed course content for introductory Java and graph theory. Prior to course development, she worked as a consultant using Big Data to fight fraud.
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Aaron Ritchie

Information Management, IBM

Aaron Ritchie has worked in the Information Management division of IBM for over 8 years and has held a variety of roles within the Center of Excellence and Education groups. Aaron has worked as an IT...
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Daniel Tran

Technical Curriculum Developer, IBM

Daniel Tran is an IBM Co-op Student working as a Technical Curriculum Developer in Toronto, Ontario. He develops courses to improve the education of customers who seek knowledge in the Big Data field.

Corporate Sponsors

$686

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