Artificial Intelligence & Data Science
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Big Data Hadoop - The Complete Course

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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

Intermediate

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Teaching Type

Instructor Paced

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Video Content

100 hours

Course Description

This course will introduce you to machine learning methods for analysing, exploring, and leveraging data. This course will teach you how to create data-driven machine learning models, scale them up for large data problems, and the methods and tools that are available to do so. Big Data is a term that refers to an industry that uses a variety of technologies to process large amounts of data. Big Data is changing marketing and business. It also helps us understand our social world better.

You will gain a deep understanding of the big data tools and systems through DtaTrained's course. You don't need to have programming experience. The fundamentals of Hadoop will be covered, including Spark, Spark, Pig and Hive. Follow the code to learn how to perform predictive modelling and use graph analysis to model problems.

Careervira Take

DataTrained offers this six-month intermediate certification program to deliver solid knowledge to the candidates about Big Data Hadoop concepts and Mapreduce framework for data processing. Professionals from any background or candidates aspiring to kickstart their journey in this domain can pursue this course. Through this course, the learners equip themselves with the relevant skills, including data science, Hadoop administration, Hadoop spark and oozie. The course comes with live classes, instructor-moderated discussions, hands-on training with industry leaders through case-based talks to give the candidates the best industry insight, and a final capstone project.

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Course Credibility

The best-in-class course curriculum for this program is designed by an eminent faculty panel and industry exp...
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Pedagogy

The comprehensive curriculum covers 15+ hours of on-demand video and includes graded projects to help the can...
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Hands-on training

The course aims at preparing the candidates with real-time experience to solve queries ahead in their profess...
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Career impact

The Big Data revolution creates supreme job opportunities, and this course comes with assured internship and ...
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Pricing

Through this course, the learners are trained across all the crucial skills through a practical approach. The...
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Assessment

The course assists the candidates to work on real data sets alongside real data masters. There are graded pro...

Course Overview

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Live Class

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Job Assistance

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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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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

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Be proficient with Hadoop, HDFS, Map Reduce, Sqoop, Impala, Apache Pig, Spark, Hive and ZooKeeper, Kafka, Cassandra and Hbase, Bigdata in the cloud (AWS), etc

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Understand Big Data Hadoop concepts

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Storing data using HDFS, concepts of blocks and replication in HDFS

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Concepts related to storing and processing of data in a distributive manner

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Learn Mapreduce framework working for processing of data

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Use Sqoop to transfer data from various relational databases to HDFS

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Learn Pig that enables data workers to write complex data transformations

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How Zookeeper manages clusters in distributive systems

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Have insight learning of dealing with structured data using Hive and Impala

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Use of Spark for various applications using RDD's, Dataframes and Dataset API's

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Using Spark with SQL

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NoSQL databases like Hbase

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Gain Real-world skills required for the job in any IT company

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Learn Hadoop ecosystem required to deal with real-world problems

Target Students

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Professionals

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This Course is for those who are interested in becoming familiar with the concept of big data

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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