關於此 專項課程
100% 在線課程

100% 在線課程

立即開始,按照自己的計劃學習。
靈活的計劃

靈活的計劃

設置並保持靈活的截止日期。
中級

中級

完成時間(小時)

完成時間大約為2 個月

建議 8 小時/週
可選語言

英語(English)

字幕:英語(English)...
100% 在線課程

100% 在線課程

立即開始,按照自己的計劃學習。
靈活的計劃

靈活的計劃

設置並保持靈活的截止日期。
中級

中級

完成時間(小時)

完成時間大約為2 個月

建議 8 小時/週
可選語言

英語(English)

字幕:英語(English)...

專項課程 的運作方式

加入課程

Coursera 專項課程是幫助您掌握一門技能的一系列課程。若要開始學習,請直接註冊專項課程,或預覽專項課程並選擇您要首先開始學習的課程。當您訂閱專項課程的部分課程時,您將自動訂閱整個專項課程。您可以只完成一門課程,您可以隨時暫停學習或結束訂閱。訪問您的學生面板,跟踪您的課程註冊情況和進度。

實踐項目

每個專項課程都包括實踐項目。您需要成功完成這個(些)項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程,則需要在開始之前完成其他所有課程。

獲得證書

在結束每門課程並完成實踐項目之後,您會獲得一個證書,您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。

how it works

此專項課程包含 5 門課程

課程1

Core Database Concepts

3.9
51 個評分
15 個審閱
This course introduces the world of database systems. It provides the foundation that will enable learners to master skills in data modeling and information, as well as extract information using existing database management systems. The following main topics are covered: database design/modeling, data storage and indexing, query processing/optimization, transaction management, database security, and data analytics....
課程2

Distributed Database Systems

4.2
17 個評分
2 個審閱
The increased capabilities of a collection of logically interrelated databases distributed over a computer network enable scalable data processing. This course addresses the components of these systems, covering the following main topics: distributed database architectures, distributed data storage and indexing, distributed and parallel query processing/optimization, and concurrency control in distributed Parallel Database Systems....
課程3

NoSQL Database Systems

3.4
5 個評分
Unlike traditional relational database management systems, NoSQL databases are capable of storing unstructured data. They therefore not only meet the performance, scalability, and flexibility needs that data-intensive applications require but are essential to big data processing. This course covers main NoSQL data management systems topics such as key-value stores, graph databases, and document databases....
課程4

Big Data Tools

Systems that perform big data analytics require highly distributed architectures and new levels of memory and processing power. This course covers main topics associated with systems such as Hadopp MapReduce, Apache Spark, and Graph Processing Engines....

講師

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Mohamed Sarwat

Assistant Professor
Computer Science and Engineering
Avatar

Ming Zhao

Associate Professor
ASU School of Computing, Informatics, and Decision Systems Engineering.
Graduation Cap

立即開始攻讀碩士學位

此 專項課程 隸屬於 Arizona State University 提供的 100% 在線 Master of Computer Science。如果您被錄取參加全部課程,您的課程將計入您的學位學習進程。

關於 Arizona State University

Arizona State University has developed a new model for the American Research University, creating an institution that is committed to excellence, access and impact. ASU measures itself by those it includes, not by those it excludes. ASU pursues research that contributes to the public good, and ASU assumes major responsibility for the economic, social and cultural vitality of the communities that surround it....

常見問題

  • 可以!点击您感兴趣的课程卡开始注册即可。注册并完成课程后,您可以获得可共享的证书,或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分,系统会自动为您订阅完整的专项课程。访问您的学生面板,跟踪您的进度。

  • 此课程完全在线学习,无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

  • 此专项课程不提供大学学分,但部分大学可能会选择接受专项课程证书作为学分。查看您的合作院校了解详情。

  • Basic computer science knowledge including computer organization and architecture, discrete mathematics, data structures, and algorithms

    Knowledge of high-level programming languages (e.g., Java) and scripting language (e.g., Python), PostgreSQL

  • Time to completion can vary based on your schedule and experience level, most individual courses, in which this Specialization has 5, will take about a month to complete if you devote 2-5 hours per week.

  • No, you may take the courses in any order.

  • Learners completing this specialization will be able to:

    Differentiate among major data models such as relational, spatial, and NoSQL

    Perform queries (e.g., SQL) and analytics tasks in state-of-the-art database systems

    Apply leading-edge techniques to design/tune distributed and parallel database systems

    Utilize existing NoSQL database systems as appropriate for specified cases

    Perform database operations (e.g., selection, projection, join, and groupby) in state-of-the-art cluster computing systems such as Hadoop/Spark

    Perform scalable data processing operations (e.g., selection, projection, join, and groupby) in cloud computing environments, including Amazon AWS

還有其他問題嗎?請訪問 學生幫助中心