Informações sobre o curso
4.4
1,219 classificações
269 avaliações
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível iniciante

Nível iniciante

Horas para completar

Aprox. 19 horas para completar

Sugerido: 7 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Habilidades que você terá

Big DataMongodbSplunkApache Spark
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível iniciante

Nível iniciante

Horas para completar

Aprox. 19 horas para completar

Sugerido: 7 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
1 hora para concluir

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, and learning how to run the Jupyter server. ...
Reading
3 vídeos (total de (Total 18 mín.) min), 6 leituras
Video3 videos
Summary of Big Data Modeling and Management7min
Why is Big Data Processing Different?8min
Reading6 leituras
Slides: Summary & Why Is Big Data Processing Different10min
Downloading and Installing the Cloudera VM Instructions (Windows)10min
Downloading and Installing the Cloudera VM Instructions (Mac)10min
Software Installation Frequently Asked Questions (FAQ)10min
Instructions for Downloading Hands On Datasets10min
Instructions for Starting Jupyter10min
Horas para completar
1 hora para concluir

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. ...
Reading
5 vídeos (total de (Total 40 mín.) min), 2 leituras
Video5 videos
What is Data Retrieval? Part 27min
Querying Two Relations8min
Subqueries8min
Querying Relational Data with Postgres6min
Reading2 leituras
Slides: What is Data Retrieval?10min
Querying Relational Data with Postgres20min
Semana
2
Horas para completar
2 horas para concluir

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....
Reading
5 vídeos (total de (Total 50 mín.) min), 3 leituras, 2 testes
Video5 videos
Aggregation Functions9min
Querying Aerospike6min
Querying Documents in MongoDB11min
Exploring Pandas DataFrames5min
Reading3 leituras
Slides: Querying Data Part 210min
Querying Documents in MongoDB10min
Exploring Pandas DataFrames20min
Quiz2 exercícios práticos
Retrieving Big Data Quiz20min
Postgres, MongoDB, and Pandas20min
Semana
3
Horas para completar
3 horas para concluir

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. ...
Reading
11 vídeos (total de (Total 83 mín.) min), 4 leituras, 2 testes
Video11 videos
A Data Integration Scenario13min
Integration for Multichannel Customer Analytics6min
Big Data Management and Processing Using Splunk and Datameer1min
Why Splunk?3min
Connected Cars with Ford's OpenXC and Splunk3min
Big Data Management and Processing using Datameer15min
Installing Splunk Enterprise on Windows2min
Installing Splunk Enterprise on Linux4min
Exploring Splunk Queries5min
Optional: Creating Pivot Reports in Splunk8min
Reading4 leituras
Slides: Information Integration10min
Downloading Splunk Enterprise10min
Exploring Splunk Queries20min
Optional: Instructions for Splunk Pivot Tutorial10min
Quiz2 exercícios práticos
Information Integration - Quiz14min
Hands-On With Splunk15min
Semana
4
Horas para completar
3 horas para concluir

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. ...
Reading
9 vídeos (total de (Total 74 mín.) min), 4 leituras, 2 testes
Video9 videos
Some High-Level Processing Operations in Big Data Pipelines8min
Aggregation Operations in Big Data Pipelines5min
Typical Analytical Operations in Big Data Pipelines10min
Overview of Big Data Processing Systems7min
The Integration and Processing Layer8min
Introduction to Apache Spark8min
Getting Started with Spark10min
WordCount in Spark8min
Reading4 leituras
Big Data Processing Pipelines Slides10min
Big Data Workflow Management10min
Slides for Big Data Processing Tools and Systems10min
WordCount in Spark20min
Quiz2 exercícios práticos
Pipeline and Tools18min
WordCount in Spark8min
4.4
269 avaliaçõesChevron Right
Direcionamento de carreira

33%

comecei uma nova carreira após concluir estes cursos
Benefício de carreira

27%

consegui um benefício significativo de carreira com este curso
Promoção de carreira

20%

recebi um aumento ou promoção

Melhores avaliações

por AAMar 6th 2018

It was a good course, it could have been better if some examples of Spark were also provided in other Languages like Java, people without having background of python may find it difficult.

por DCOct 8th 2017

Very Interactive course. Theatrical classes are nicely drafted. Hands On exercises are interesting and some are challenging too. Overall very interesting course. Happy learning

Instrutores

Avatar

Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
Avatar

Amarnath Gupta

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

Sobre University of California 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 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 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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