Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools. Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples. Systems and tools discussed include: AsterixDB, HP Vertica, Impala, Neo4j, Redis, SparkSQL. This course provides techniques to extract value from existing untapped data sources and discovering new data sources.
Este curso faz parte do Programa de cursos integrados Big DataBig Data
oferecido por
Programa de cursos integrados Big DataBig DataUniversidade da Califórnia, San DiegoInformações sobre o curso
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Resultados de carreira do aprendiz
45%
comecei uma nova carreira após concluir estes cursos
37%
consegui um benefício significativo de carreira com este curso
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 2 de 6 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 13 horas para completar
Inglês
Legendas: Inglês, Coreano
Habilidades que você terá
Data ModelBig DataData ModelingData Management
Resultados de carreira do aprendiz
45%
comecei uma nova carreira após concluir estes cursos
37%
consegui um benefício significativo de carreira com este curso
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 2 de 6 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 13 horas para completar
Inglês
Legendas: Inglês, Coreano
oferecido por
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.
Programa - O que você aprenderá com este curso
3 horas para concluir
Introduction to Big Data Modeling and Management
Welcome to this course on big data modeling and management. Modeling and managing data is a central focus of all big data projects. In these lessons we introduce you to the concepts behind big data modeling and management and set the stage for the remainder of the course.
3 horas para concluir
14 vídeos (Total 63 mín.), 8 leituras
14 videos
Why is this a New Course in the Big Data Specialization?41s
Summary of Introduction to Big Data (Part 1)5min
Summary of Introduction to Big Data (Part 2)5min
Summary of Introduction to Big Data (Part 3)5min
Big Data Management "Must-Ask Questions"1min
Data Ingestion4min
Data Storage3min
Data Quality2min
Data Operations3min
Data Scalability and Security2min
Energy Data Management Challenges at ConEd4min
Gaming Industry Data Management: Q&A with Apmetrix CTO Mark Caldwell7min
Flight Data Management at FlightStats: A Lecture by CTO Chad Berkley13min
8 leituras
Slides: Summary of Introduction to Big Data10min
Slides: Big Data Management10min
Reading on Storage Systems10min
Slides: Energy Data Management Challenges at ConEd10min
Slides: Flight Data Management at FlightStats10min
Downloading and Installing the Cloudera VM Instructions (Windows)10min
Downloading and Installing the Cloudera VM Instructions (Mac)10min
Instructions for Downloading Hands On Datasets10min
3 horas para concluir
Big Data Modeling
Modeling big data depends on many factors including data structure, which operations may be performed on the data, and what constraints are placed on the models. In these lessons you will learn the details about big data modeling and you will gain the practical skills you will need for modeling your own big data projects.
3 horas para concluir
11 vídeos (Total 52 mín.), 8 leituras, 1 teste
11 videos
Data Model Structures2min
Data Model Operations4min
Data Model Constraints4min
Introduction to CSV Data4min
What is a Relational Data Model?10min
What is a Semistructured Data Model?6min
Exploring the Relational Data Model of CSV Files4min
Exploring the Semistructured Data Model of JSON data3min
Exploring the Array Data Model of an Image3min
Exploring Sensor Data4min
8 leituras
Slides: What Is A Data Model?10min
Introduction to CSV Data10min
Slides: What Is A Relational Data Model?10min
Slides: What is a Semistructured Data Model?10min
Exploring the Relational Data Model of Comma Separated Values (CSV)10min
Exploring the Semistructured Data Model of JSON data10min
Exploring the Array Data Model of an Image10min
Exploring Sensor Data10min
1 exercício prático
Practical Quiz for Week 2 Hands-On Lectures18min
2 horas para concluir
Big Data Modeling (Part 2)
These lessons continue to shed light on big data modeling with specific approaches including vector space models, graph data models, and more.
2 horas para concluir
5 vídeos (Total 31 mín.), 5 leituras, 1 teste
5 videos
Vector Space Model11min
Graph Data Model7min
Other Data Models4min
Exploring the Lucene Search Engine's Vector Data Model4min
Exploring Graph Data Models with Gephi3min
5 leituras
Slides: Vector Space Model10min
Slides: Graph Data Model10min
Slides: Other Data Models10min
Exploring Vector Data Models with Lucene10min
Exploring Graph Data Models with Gephi10min
1 exercício prático
Data Models Quiz18min
2 horas para concluir
Working With Data Models
Data models deal with many different types of data formats. Streaming data is becoming ubiquitous, and working with streaming data requires a different approach from working with static data. In these lessons you will gain practical hands-on experience working with different forms of streaming data including weather data and twitter feeds.
2 horas para concluir
6 vídeos (Total 29 mín.), 7 leituras, 1 teste
6 videos
What is a Data Stream?5min
Why is Streaming Data different?7min
Understanding Data Lakes5min
Exploring Streaming Sensor Data4min
Exploring Streaming Twitter Data (Optional)4min
7 leituras
Slides: Data Model vs. Data Format10min
Slides: What is a Data Stream?10min
Slides: Why is Streaming Data Different?10min
Slides: Understanding Data Lakes10min
Exploring Streaming Sensor Data10min
Instructions for Creating a Twitter App (Optional)10min
Exploring Streaming Twitter Data (Optional)10min
1 exercício prático
Data Formats and Streaming Data Quiz18min
Avaliações
Principais avaliações do BIG DATA MODELING AND MANAGEMENT SYSTEMS
por PR6 de Mar de 2018
Pretty good course. The peer corrected assignment is avoidable. Instead, a little bit of programming may be introduced! The course becomes extremely boring due to only theoretical aspects and quizzes.
por MP16 de Out de 2017
Good Explanations of Concepts and Nice Tests. I got a trilling experience in completing the peer Assignments with keen observation and Analyzing of Concepts learned.Thanq for your course very much.
por DN22 de Nov de 2016
Pretty good overall, although some exercises are a bit difficult to understand from the descriptions and instructions given, some graphs and initial reference documentation for exercises might help
por VG27 de Mar de 2017
Nice course to describe the traditional data modeling (RDBMS) as well as various semi-structured and un-structured data modeling and management of the systems (Batch and Streaming data processing)
Sobre 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.
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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.
Perguntas Frequentes – FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
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