Big Data Technology Fundamentals

Kód kurzu: BDTAWS

Big Data Technology Fundamentals provides baseline general knowledge of the technologies used in big data solutions. It covers the development of big data solutions using the Hadoop ecosystem, including MapReduce, HDFS, and the Pig and Hive programming frameworks. This web-based course helps you build a foundation for working with AWS services for big data solutions.

This course is offered at no charge, and can be used on its own or to help you prepare for the Big Data on AWS instructor-led course.

Odborní
certifikovaní lektori

Mezinárodne
uznávané certifikácie

Široká ponuka technických
a soft skills kurzov

Skvelý zákaznicky
servis

Prispôsobenie kurzov
presne na mieru

Termíny kurzov

Počiatočný dátum: Individuálny

Forma: Virtuálna

Dĺžka kurzu: 1h 30min

Jazyk: en

Cena bez DPH: 0 EUR

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Počiatočný
dátum
Miesto
konania
Forma Dĺžka
kurzu
Jazyk Cena bez DPH
Individuálny Virtuálna 1h 30min en 0 EUR Registrovať
G Garantovaný kurz

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Cieľová skupina

This course is intended for:

  • Individuals who are new to big data concepts, including Enterprise Solutions Architects, Big Data Solutions Architects, Data Scientists, and Data Analysts.

Štruktúra kurzu

This course contains the following 4 modules:

Module 1 – Introduction to Big Data

  • The Business Importance of Big Data
  • The Hadoop Ecosystem
  • Characteristics of Big Data
  • Processing Big Data
  • Tools and Techniques for Analyzing Big Data
  • Implementing Big Data Solutions
  • Case Study – Social Media Analytics

Module 2 – Introduction to MapReduce and Hadoop

  • Hadoop Architecture
  • MapReduce Framework
  • MapReduce Programming
  • MapReduce and HDFS/S3
  • Use Case – Recommendation Engine

Module 3 – Data Analysis Using Pig Programming

  • Introduction to Pig
  • Pig Data Types
  • Representing Data in Pig
  • Running Pig
  • User-Defined Functions
  • Pig vs Traditional RDBMSs
  • Advanced Techniques in Pig

Module 4 – Big Data Querying with Hive

  • Introduction to Hive
  • Representing Data in Hive
  • Hive Data Types
  • Probing Data with Hive Queries
  • Hive and AWS
  • Use Case – Ad Hoc Analysis and Product Feedback

Predpokladané znalosti

We recommend that attendees of this course have:

  • Working knowledge of basic programming in a language such as Java or C#

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daniel

Daniel Šťastný

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