Programa Especializado - Data Systems

Comienza el Oct 19

Programa Especializado - Data Systems

Launch Your Career in Data Systems. Master strategies to manage large data systems in diverse and ever-changing environments.

Sobre este Programa Especializado

Database systems are used to provide convenient access to disk-resident data through efficient query processing, indexing structures, concurrency control, and recovery. This specialization delves into new frameworks for processing and generating large-scale datasets with parallel and distributed algorithms. Courses cover the design, deployment and use of state-of-the-art data processing systems, which provide scalable access to data. All courses in this Specialization form the lecture and skill practice component of a corresponding course in ASU’s online Master of Computer Science Degree. You can apply to the degree program either before or after you begin the Specialization.

Creada por:

courses
5 courses

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projects
Proyectos

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certificates
Certificados

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Descripción general de los proyectos

Cursos
Intermediate Specialization.
Some related experience required.
  1. CURSO 1

    Core Database Concepts

    Dedicación
    Approximately 2-5 hours per week
    Subtítulos
    English

    Acerca del Curso

    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
  2. CURSO 2

    Distributed Database Systems

    Dedicación
    Approximately 2-5 hours per week
    Subtítulos
    English

    Acerca del Curso

    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 to
  3. CURSO 3

    NoSQL Database Systems

    Comienza el August 2018
    Dedicación
    2- 5 hours per week
    Subtítulos
    English

    Acerca del Curso

    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.
  4. CURSO 4

    Big Data Tools

    Comienza el August 2018
    Dedicación
    2- 5 hours per week
    Subtítulos
    English

    Acerca del Curso

    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.
  5. CURSO 5

    Data Management in the Cloud

    Dedicación
    2-5 hours per week
    Subtítulos
    English

    Acerca del Curso

    Ubiquitous, on-demand network access to shared pools of configurable computing resources ideally requires minimal management effort or service provider interaction. This course covers the essential characteristics of data processing in the cloud, servic

Creadores

  • Arizona State University

    The Ira A. Fulton Schools of Engineering at Arizona State University is one of the largest engineering programs in the United States, with more than 21,000 undergraduate students and more than 4,000 graduate students. We believe that engineering is more than a discipline — it’s a mindset, a way of looking at the world.

    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.

  • Mohamed Sarwat

    Mohamed Sarwat

    Assistant Professor
  • Ming Zhao

    Ming Zhao

    Associate Professor

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