This course consists of four modules covering some of the more in-depth and advanced areas of database technologies, followed by a look at the future of database software and where the industry is heading.
Databases for Data Scientists専門講座コロラド大学ボルダー校（University of Colorado Boulder）このコースについて
8,922 最近の表示
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。
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3の3コース
初級レベル
This course is for beginners, but you should have taken Course 1: Relational database design, and Course 2, the Structured Query Language.
約17時間で修了
英語
字幕：英語
学習内容
In-depth and advanced areas of database technologies
The future of database software and where the industry is heading
習得するスキル
- Database (DBMS)
- Data Warehousing
- NoSQL
- Big Data
- database administration
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。
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3の3コース
初級レベル
This course is for beginners, but you should have taken Course 1: Relational database design, and Course 2, the Structured Query Language.
約17時間で修了
英語
字幕：英語
提供：
コロラド大学ボルダー校（University of Colorado Boulder）
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
修士号の取得を目指しましょう
この コース は コロラド大学ボルダー校（University of Colorado Boulder） の100%オンラインの Master of Science in Data Science の一部です。
プログラムのすべてで認定されれば、それらのコースが学位学習に加算されます。
シラバス - 本コースの学習内容
5時間で修了
DBMS Administration Essentials
In this module we will take a deeper look into the internals of DBMS software to better understand how it works. We will examine the role of the DBA (Database Administrator), the Data Scientist, the Data Architect, and other career paths in the realm of database technologies. This module covers DBMS essentials such as concurrency management, backup & recovery, and transaction logging.
5時間で修了
6件のビデオ （合計95分）, 1 学習用教材, 4 個のテスト
3時間で修了
Data Warehousing, Data Cube
We have learned to design a Relational Database around the typical transactions or activities a business might have. However, in case we need to analyze data, rather than collect data, we need to create a database for the subject of interest to support decision making. In this module, we are going to learn a different perspective of organizing the data, Data Warehouse, or Online Analytical Processing.
3時間で修了
5件のビデオ （合計71分）
3時間で修了
Big Data and the Data Explosion
We are in the era of data explosion. While relational databases are still widely used, we are having new problems to deal with data that is different than the one we have been organizing. This new type of data, with 10 V's in the definition, is called Big Data. We are going to explore the definitions, the challenges, and the architecture of the Big Data in this module.
3時間で修了
4件のビデオ （合計77分）
5時間で修了
The Relational Problem and NoSQL Systems
Although relational database software has been in use for decades, relational database systems still command a huge share of the database software marketplace. However, with the more recent explosion of Big Data, relational systems are struggling to keep up. Big Data has opened the door for non-relational database solutions ("NoSQL") to capture marketshare from relational systems. In this module we will take a deeper look into the most popular NoSQL database technologies.
5時間で修了
6件のビデオ （合計106分）
Databases for Data Scientists専門講座について
Whether you are a beginning programmer with an interest in Data Science, a data scientist working closely with content experts, or a software developer seeking to learn about the database layer of the stack this specialization is for you! We focus on the relational database which is the most widely used type of database. Relational databases have dominated the database software marketplace for nearly four decades and form a core, foundational part of software development. In this specialization you will learn about database design, database software fundamentals, and how to use the Structured Query Language (SQL) to work with databases. The specialization, will conclude with an overview of future trends in databases, including non-relational databases (NoSQL) and Big Data. Upon completion of this specialization you will be well prepared to design and create efficient and effective relational databases, fill them with data, and work with them using SQL.
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