dat476 | undergraduate

Query Construction For Large Scale Data

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This course covers query construction for both structured and unstructured data. This course addresses commands, functions and operators used for extracting data from databases.

This undergraduate-level course is 5 This course is available to take individually or To enroll, speak with an Enrollment Representative.

Course details:

Credits: 3
Continuing education units: XX
Professional development units: XX
Duration: 5

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    Security, Governance, and Risk Control

    • Identify the strengths and resolve the vulnerabilities of an organization’s Big Data security and governance plans and policies.
    • Create a data security and governance plan for an organization’s Big Data implementation.
    • Explain organizational prerequisites leaders should consider when addressing Big Data procurement, security considerations, real-time support issues, performance considerations, and use of Cloud Technology.
    • Explain Hadoop features and why they are useful to Data Scientists.

    Big Data Processes

    • Critique an organization’s big data processes, identify improvement opportunities, and recommend solutions for each identified opportunity.
    • Identify strategic opportunities of Big Data that could benefit the organization.
    • Discuss Big Data business cases to identify strengths and opportunities in maximizing effectiveness of Big Data processes.
    • Evaluate an organization’s current Big Data processes and assess their ability to support data science in the organization.

    Query Troubleshooting Methods and Tools

    • Develop a troubleshooting methodology supported by resources, methods, and tools, for resolving Big Data query issues.
    • Examine broken Big Data queries and use troubleshooting methods to resolve each query’s bugs and issues.
    • Document the troubleshooting methodology used and apply it to solve broken queries.

    Big Data Queries and Data Sources

    • Create Big Data queries appropriate to an organization’s big data sources and structures that obtain information to enable decision-making.
    • Construct query design recommendations within an organization’s current Big Data architecture and other constraints that improve query performance and query construction.
    • Build a query following a given design that obtains the information requested to resolve an organization’s issue.
    • Recommend Big Data technology, sources and structures, to support an organization’s goal and strategies.

    Big Data Technology Components

    • Examine Big Data technology components, algorithms, and methods, and apply them to data environments and organizational problems.
    • Apply data modeling using Hadoop.
    • Apply the steps in the Big Data Analytics Lifecycle to a Big Data project.
    • Apply Big Data algorithms to solve data analysis problems and enable effective and efficient data retrieval.
    Tuition for individual courses varies. For more information, please call or chat live with an Enrollment Representative.

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    Teacher Rate: For some courses, special tuition rates are available for current, certified P-12 teachers and administrators. Please speak with an Enrollment Representative today for more details.

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    While widely available, not all programs are available in all locations or in both online and on-campus formats. Please check with a University Enrollment Representative.

    Transferability of credit is at the discretion of the receiving institution. It is the student’s responsibility to confirm whether or not credits earned at University of Phoenix will be accepted by another institution of the student’s choice.