Big Data Integration and Processing

Big Data Integration and Processing

Archived
МООК
en
Английский
20 h
This content is rated 0 out of 5

You can't access an archived course

Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 6 Sequences
  • Introductive Level

You can't access an archived course

Their employees are learning daily with Edflex

  • Safran
  • Air France
  • TotalEnergies
  • Generali
Learn more

Course details

Syllabus

  • Week 1 - Welcome to Big Data Integration and Processing
    Welcome to the third course in the Big Data Specialization. This week you will be introduced to basic concepts in big data integration and processing. You will be guided through installing the Cloudera VM, downloading the data sets to be used for this course, ...
  • Week 1 - Retrieving Big Data (Part 1)
    This module covers the various aspects of data retrieval and relational querying. You will also be introduced to the Postgres database.
  • Week 2 - Retrieving Big Data (Part 2)
    This module covers the various aspects of data retrieval for NoSQL data, as well as data aggregation and working with data frames. You will be introduced to MongoDB and Aerospike, and you will learn how to use Pandas to retrieve data from them.
  • Week 3 - Big Data Integration
    In this module you will be introduced to data integration tools including Splunk and Datameer, and you will gain some practical insight into how information integration processes are carried out.
  • Week 4 - Processing Big Data
    This module introduces Learners to big data pipelines and workflows as well as processing and analysis of big data using Apache Spark.
  • Week 5 - Big Data Analytics using Spark
    In this module, you will go deeper into big data processing by learning the inner workings of the Spark Core. You will be introduced to two key tools in the Spark toolkit: Spark MLlib and GraphX.
  • Week 6 - Learn By Doing: Putting MongoDB and Spark to Work
    In this module you will get some practical hands-on experience applying what you learned about Spark and MongoDB to analyze Twitter data.

Prerequisite

None.

Instructors

Ilkay Altintas
Chief Data Science Officer
San Diego Supercomputer Center

Amarnath Gupta
Director, Advanced Query Processing Lab
San Diego Supercomputer Center (SDSC)

Editor

L' Université de Californie à San Diego est une université publique de recherche sur les concessions de terres à San Diego, en Californie. Établi en 1960 près de la Scripps Institution of Oceanography préexistante, l'UC San Diego est le plus méridional des dix campus de l' Université de Californie et offre plus de 200 programmes menant à un diplôme de premier cycle et des cycles supérieurs, recrutant 33 096 étudiants de premier cycle et 9 872 étudiants des cycles supérieurs. 

L'UC San Diego est considérée comme l'une des meilleures universités au monde. Plusieurs publications ont classé les départements de sciences biologiques et d'informatique de l'UC San Diego parmi les 10 meilleurs au monde.

Platform

Coursera - это цифровая компания, предлагающая массовые открытые онлайн-курсы, основанные учителями компьютеров Эндрю Нгом и Стэнфордским университетом Дафни Коллер, расположенные в Маунтин-Вью, штат Калифорния.

Coursera работает с ведущими университетами и организациями, чтобы сделать некоторые из своих курсов доступными в Интернете, и предлагает курсы по многим предметам, включая: физику, инженерию, гуманитарные науки, медицину, биологию, социальные науки, математику, бизнес, информатику, цифровой маркетинг, науку о данных и другие предметы.

This content is rated 4.5 out of 5
(no review)
This content is rated 4.5 out of 5
(no review)
Complete this resource to write a review