Informações sobre o curso
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Aprox. 16 horas para completar

Sugerido: 3 weeks of study, 5-6 hours/week...


Legendas: Árabe, Coreano, Inglês, Hindi, Persa

Habilidades que você terá

Big DataApache HadoopMapreduceCloudera

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Aprox. 16 horas para completar

Sugerido: 3 weeks of study, 5-6 hours/week...


Legendas: Árabe, Coreano, Inglês, Hindi, Persa

Programa - O que você aprenderá com este curso

20 minutos para concluir


Welcome to the Big Data Specialization! We're excited for you to get to know us and we're looking forward to learning about you!

2 vídeos ((Total 3 mín.)), 2 leituras
2 videos
Tell us about yourself and learn about your classmates20s
2 leituras
By the end of this course you will be able to...2min
Optional: Watch this fun video about the San Diego Supercomputer Center!10min
4 horas para concluir

Big Data: Why and Where

Data -- it's been around (even digitally) for a while. What makes data "big" and where does this big data come from?

13 vídeos ((Total 77 mín.)), 13 leituras, 1 teste
13 videos
Applications: What makes big data valuable11min
Example: Saving lives with Big Data6min
Example: Using Big Data to Help Patients10min
A Sentiment Analysis Success Story: Meltwater helping Danone1min
Getting Started: Where Does Big Data Come From?2min
Machine-Generated Data: It's Everywhere and There's a Lot!3min
Machine-Generated Data: Advantages4min
Big Data Generated By People: The Unstructured Challenge5min
Big Data Generated By People: How Is It Being Used?10min
Organization-Generated Data: Structured but often siloed7min
Organization-Generated Data: Benefits Come From Combining With Other Data Types4min
The Key: Integrating Diverse Data5min
13 leituras
Did you know?: 25 facts about big data10min
Slides: What Launched the Big Data Era?10min
Slides: Applications: What Makes Big Data Valuable?10min
Slides: Saving Lives With Big Data10min
Slides: Using Big Data to Help Patients10min
Extra Resources10min
Slides: Machine-Generated Data: It's Everywhere and There's a Lot!10min
Slides: Machine-Generated Data: Advantages10min
Slides: Big Data Generated By People: The Unstructured Challenge10min
Slides: Big Data Generated By People: How is it Being Used?10min
Slides: Organization-Generated Big Data: Structured But Often Siloed10min
Slides: Organizaton-Generated Big Data: Benefits10min
Slides: The Key - Integrating Diverse Data10min
1 exercício prático
Why Big Data and Where Did it Come From?38min
2 horas para concluir

Characteristics of Big Data and Dimensions of Scalability

You may have heard of the "Big Vs". We'll give examples and descriptions of the commonly discussed 5. But, we want to propose a 6th V and we'll ask you to practice writing Big Data questions targeting this V -- value.

7 vídeos ((Total 34 mín.)), 9 leituras, 1 teste
7 videos
Characteristics of Big Data - Volume5min
Characteristics of Big Data - Variety5min
Characteristics of Big Data - Velocity6min
Characteristics of Big Data - Veracity6min
Characteristics of Big Data - Valence2min
The Sixth V: Value4min
9 leituras
What does astronomical scale mean?10min
A Small Definition of Big Data10min
Slides: Getting Started - Characteristics of Big Data10min
Slides: Characteristics of Big Data - Volume10min
Slides: Characteristics of Big Data - Variety10min
Slides: Characteristics of Big Data - Velocity10min
Slides: Characteristics of Big Data - Veracity10min
Slides: Characteristics of Big Data - Value10min
Slides: Characteristics of Big Data - Valence10min
1 exercício prático
V for the V's of Big Data14min
4 horas para concluir

Data Science: Getting Value out of Big Data

We love science and we love computing, don't get us wrong. But the reality is we care about Big Data because it can bring value to our companies, our lives, and the world. In this module we'll introduce a 5 step process for approaching data science problems.

11 vídeos ((Total 66 mín.)), 12 leituras, 1 teste
11 videos
Building a Big Data Strategy9min
How does big data science happen?: Five Components of Data Science9min
Asking the Right Questions3min
Steps in the Data Science Process3min
Step 1: Acquiring Data6min
Step 2-A: Exploring Data4min
Step 2-B: Pre-Processing Data8min
Step 3: Analyzing Data8min
Step 4: Communicating Results4min
Step 5: Turning Insights into Action2min
12 leituras
Five P's of Data Science10min
Slides: Getting Value Out of Big Data10min
Slides: Building a Big Data Strategy10min
Slides: The Five P's of Data Science10min
Slides: Asking the Right Questions10min
Slides: Steps in the Data Science Process10min
Slides: Step 1 - Acquiring Data10min
Slides: Step 2A-Exploring Data10min
Slides: Step 2B-Preprocessing Data10min
Slides: Step 3-Data Analysis10min
Slides: Step 4-Communicating Results10min
Slides: Step 5-Turning Insights Into Action10min
1 exercício prático
Data Science 10120min
1 hora para concluir

Foundations for Big Data Systems and Programming

Big Data requires new programming frameworks and systems. For this course, we don't programming knowledge or experience -- but we do want to give you a grounding in some of the key concepts.

4 vídeos ((Total 19 mín.)), 4 leituras, 1 teste
4 videos
What is a Distributed File System?6min
Scalable Computing over the Internet4min
Programming Models for Big Data6min
4 leituras
Slides: Getting Started-Why Worry About Foundations?10min
Slides: What is a Distributed File System?10min
Slides: Scalable Computing Over the Internet10min
Slides: Programming Models for Big Data10min
1 exercício prático
Foundations for Big Data20min
5 horas para concluir

Systems: Getting Started with Hadoop

Let's look at some details of Hadoop and MapReduce. Then we'll go "hands on" and actually perform a simple MapReduce task in the Cloudera VM. Pay attention - as we'll guide you in "learning by doing" in diagramming a MapReduce task as a Peer Review.

11 vídeos ((Total 66 mín.)), 8 leituras, 3 testes
11 videos
The Hadoop Ecosystem: Welcome to the zoo!7min
The Hadoop Distributed File System: A Storage System for Big Data7min
YARN: A Resource Manager for Hadoop5min
MapReduce: Simple Programming for Big Results12min
When to Reconsider Hadoop?4min
Cloud Computing: An Important Big Data Enabler6min
Cloud Service Models: An Exploration of Choices4min
Value From Hadoop and Pre-built Hadoop Images3min
Copy your data into the Hadoop Distributed File System (HDFS)4min
Run the WordCount program5min
8 leituras
MapReduce in the Pasta Sauce Example10min
Slides for Getting Started With Hadoop10min
Downloading and Installing the Cloudera VM Instructions (Mac)10min
Downloading and Installing the Cloudera VM Instructions (Windows)10min
Copy your data into the Hadoop Distributed File System (HDFS) Instructions10min
Run the WordCount program Instructions10min
How do I figure out how to run Hadoop MapReduce programs?10min
2 exercícios práticos
Intro to Hadoop26min
Running Hadoop MapReduce Programs Quiz4min
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Principais avaliações do Introdução a Big Data

por PBMay 25th 2018

A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.\n\nVery smooth learning experience.

por RGJul 14th 2017

First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.



Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center

Amarnath Gupta

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

Sobre Universidade da Califórnia, San Diego

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

Sobre o Programa de cursos integrados Big DataBig Data

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. ********* Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data....
Big DataBig Data

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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