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201,700 最近の表示

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45%

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37%

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共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における6の2コース
柔軟性のある期限
スケジュールに従って期限をリセットします。
約13時間で修了
英語
字幕:英語, 韓国語

習得するスキル

Data ModelBig DataData ModelingData Management

受講生の就業成果

45%

コース終了後に新しいキャリアをスタートした

37%

コースが具体的なキャリアアップにつながった
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における6の2コース
柔軟性のある期限
スケジュールに従って期限をリセットします。
約13時間で修了
英語
字幕:英語, 韓国語

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カリフォルニア大学サンディエゴ校 ロゴ

カリフォルニア大学サンディエゴ校

シラバス - 本コースの学習内容

コンテンツの評価Thumbs Up94%(11,844 件の評価)Info
1

1

3時間で修了

Introduction to Big Data Modeling and Management

3時間で修了
14件のビデオ (合計63分), 8 readings
14件のビデオ
Why is this a New Course in the Big Data Specialization?41
Summary of Introduction to Big Data (Part 1)5 分
Summary of Introduction to Big Data (Part 2)5 分
Summary of Introduction to Big Data (Part 3)5 分
Big Data Management "Must-Ask Questions"1 分
Data Ingestion4 分
Data Storage3 分
Data Quality2 分
Data Operations3 分
Data Scalability and Security2 分
Energy Data Management Challenges at ConEd4 分
Gaming Industry Data Management: Q&A with Apmetrix CTO Mark Caldwell7 分
Flight Data Management at FlightStats: A Lecture by CTO Chad Berkley13 分
8件の学習用教材
Slides: Summary of Introduction to Big Data10 分
Slides: Big Data Management10 分
Reading on Storage Systems10 分
Slides: Energy Data Management Challenges at ConEd10 分
Slides: Flight Data Management at FlightStats10 分
Downloading and Installing the Cloudera VM Instructions (Windows)10 分
Downloading and Installing the Cloudera VM Instructions (Mac)10 分
Instructions for Downloading Hands On Datasets10 分
2

2

3時間で修了

Big Data Modeling

3時間で修了
11件のビデオ (合計52分), 8 readings, 1 quiz
11件のビデオ
Data Model Structures2 分
Data Model Operations4 分
Data Model Constraints4 分
Introduction to CSV Data4 分
What is a Relational Data Model?10 分
What is a Semistructured Data Model?6 分
Exploring the Relational Data Model of CSV Files4 分
Exploring the Semistructured Data Model of JSON data3 分
Exploring the Array Data Model of an Image3 分
Exploring Sensor Data4 分
8件の学習用教材
Slides: What Is A Data Model?10 分
Introduction to CSV Data10 分
Slides: What Is A Relational Data Model?10 分
Slides: What is a Semistructured Data Model?10 分
Exploring the Relational Data Model of Comma Separated Values (CSV)10 分
Exploring the Semistructured Data Model of JSON data10 分
Exploring the Array Data Model of an Image10 分
Exploring Sensor Data10 分
1の練習問題
Practical Quiz for Week 2 Hands-On Lectures18 分
3

3

2時間で修了

Big Data Modeling (Part 2)

2時間で修了
5件のビデオ (合計31分), 5 readings, 1 quiz
5件のビデオ
Graph Data Model7 分
Other Data Models4 分
Exploring the Lucene Search Engine's Vector Data Model4 分
Exploring Graph Data Models with Gephi3 分
5件の学習用教材
Slides: Vector Space Model10 分
Slides: Graph Data Model10 分
Slides: Other Data Models10 分
Exploring Vector Data Models with Lucene10 分
Exploring Graph Data Models with Gephi10 分
1の練習問題
Data Models Quiz18 分
4

4

2時間で修了

Working With Data Models

2時間で修了
6件のビデオ (合計29分), 7 readings, 1 quiz
6件のビデオ
What is a Data Stream?5 分
Why is Streaming Data different?7 分
Understanding Data Lakes5 分
Exploring Streaming Sensor Data4 分
Exploring Streaming Twitter Data (Optional)4 分
7件の学習用教材
Slides: Data Model vs. Data Format10 分
Slides: What is a Data Stream?10 分
Slides: Why is Streaming Data Different?10 分
Slides: Understanding Data Lakes10 分
Exploring Streaming Sensor Data10 分
Instructions for Creating a Twitter App (Optional)10 分
Exploring Streaming Twitter Data (Optional)10 分
1の練習問題
Data Formats and Streaming Data Quiz18 分

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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....
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