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다음 전문 분야의 6개 강좌 중 2번째 강좌:

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영어

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귀하가 습득할 기술

Data ModelBig DataData ModelingData Management

다음 전문 분야의 6개 강좌 중 2번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 3시간 필요

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.

...
14 videos (Total 63 min), 8 readings
14개의 동영상
Summary of Introduction to Big Data (Part 2)5m
Summary of Introduction to Big Data (Part 3)5m
Big Data Management "Must-Ask Questions"1m
Data Ingestion4m
Data Storage3m
Data Quality2m
Data Operations3m
Data Scalability and Security2m
Energy Data Management Challenges at ConEd4m
Gaming Industry Data Management: Q&A with Apmetrix CTO Mark Caldwell7m
Flight Data Management at FlightStats: A Lecture by CTO Chad Berkley13m
8개의 읽기 자료
Slides: Summary of Introduction to Big Data10m
Slides: Big Data Management10m
Reading on Storage Systems10m
Slides: Energy Data Management Challenges at ConEd10m
Slides: Flight Data Management at FlightStats10m
Downloading and Installing the Cloudera VM Instructions (Windows)10m
Downloading and Installing the Cloudera VM Instructions (Mac)10m
Instructions for Downloading Hands On Datasets10m
2
완료하는 데 3시간 필요

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.

...
11 videos (Total 52 min), 8 readings, 1 quiz
11개의 동영상
Data Model Constraints4m
Introduction to CSV Data4m
What is a Relational Data Model?10m
What is a Semistructured Data Model?6m
Exploring the Relational Data Model of CSV Files4m
Exploring the Semistructured Data Model of JSON data3m
Exploring the Array Data Model of an Image3m
Exploring Sensor Data4m
8개의 읽기 자료
Slides: What Is A Data Model?10m
Introduction to CSV Data10m
Slides: What Is A Relational Data Model?10m
Slides: What is a Semistructured Data Model?10m
Exploring the Relational Data Model of Comma Separated Values (CSV)10m
Exploring the Semistructured Data Model of JSON data10m
Exploring the Array Data Model of an Image10m
Exploring Sensor Data10m
1개 연습문제
Practical Quiz for Week 2 Hands-On Lectures18m
3
완료하는 데 2시간 필요

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.

...
5 videos (Total 31 min), 5 readings, 1 quiz
5개의 동영상
Exploring the Lucene Search Engine's Vector Data Model4m
Exploring Graph Data Models with Gephi3m
5개의 읽기 자료
Slides: Vector Space Model10m
Slides: Graph Data Model10m
Slides: Other Data Models10m
Exploring Vector Data Models with Lucene10m
Exploring Graph Data Models with Gephi10m
1개 연습문제
Data Models Quiz18m
4
완료하는 데 2시간 필요

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.

...
6 videos (Total 29 min), 7 readings, 1 quiz
6개의 동영상
Understanding Data Lakes5m
Exploring Streaming Sensor Data4m
Exploring Streaming Twitter Data (Optional)4m
7개의 읽기 자료
Slides: Data Model vs. Data Format10m
Slides: What is a Data Stream?10m
Slides: Why is Streaming Data Different?10m
Slides: Understanding Data Lakes10m
Exploring Streaming Sensor Data10m
Instructions for Creating a Twitter App (Optional)10m
Exploring Streaming Twitter Data (Optional)10m
1개 연습문제
Data Formats and Streaming Data Quiz18m
4.3
328개의 리뷰Chevron Right

43%

이 강좌를 수료한 후 새로운 경력 시작하기

33%

이 강좌를 통해 확실한 경력상 이점 얻기

Big Data Modeling and Management Systems의 최상위 리뷰

대학: MPOct 17th 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.

대학: VGMar 28th 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)

강사

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Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
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Amarnath Gupta

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

캘리포니아 샌디에고 대학교 정보

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....

빅 데이터 전문 분야 정보

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....
빅 데이터

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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