Planning a computing project, Exercises of Family and Consumer Science (Nguyễn Vũ Cường).



Introduction

Big data is a combination of structured, semi-structured and unstructured data collectedby organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications.

Systems that process and store big data have become a common component of data management architectures in organizations, combined with tools that support big data analytics uses. Big data is often characterized by the three V's: the large volume of data in many environments;



Contents

A.       Introduction       ............................................................................................................................................   4

B.       Content       ....................................................................................................................................................   5

P1    Demonstrate qualitative and quantitative research methods to generate relevant primary data for  

an identified theme.       ........................................................................................................................................   5

1.       Quantitative research:       ...............................................................................................................................   6

2.       Advantages and Disadvantages:       .............................................................................................................   11

3.       Qualitative research:       ...............................................................................................................................   11

4.       Quantitative Analysis:       ............................................................................................................................   12

5.       Methodology for Combining Qualitative and Quantitative Research to Investigate a Specific Theme:     .   13

P2: Examine secondary sources to collect relevant secondary data and information for an identified 

theme.       ............................................................................................................................................................   14

1.       Primary research:     ....................................................................................................................................   14  

2.       Secondary research:       ................................................................................................................................   15

P3 Discuss the features and operational areas of a businesses in an       .........................................................   20

identified sector.       ............................................................................................................................................   20

1.       Project Logbook:       ....................................................................................................................................   20

2.       Project team:       ...........................................................................................................................................   23

3.       Featues of a datacenter business in the protection of the BigData Big Data Technologies on Operational  

Efficiency in Various Academic       .....................................................................................................................   24

P4: Discuss the role of stakeholders and their impact on the success of a business       .................................   26

1.       Stackeholder       ...........................................................................................................................................   26

2.       Role of stakeholders in the Big Data Technologies on Academic:       .........................................................   27

3.       How stakeholders impact the business in the Big Data Technologies on Academic?       .............................   28

C.       Conclusion:       ............................................................................................................................................   29

D.       Reference:       .............................................................................................................................................   29










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Introduction

Big data is a combination of structured, semi-structured and unstructured data collectedby organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications.

Systems that process and store big data have become a common component of data management architectures in organizations, combined with tools that support big data analytics uses. Big data is often characterized by the three V's: the large volume of data in many environments;



Contents

A.       Introduction       ............................................................................................................................................   4

B.       Content       ....................................................................................................................................................   5

P1    Demonstrate qualitative and quantitative research methods to generate relevant primary data for  

an identified theme.       ........................................................................................................................................   5

1.       Quantitative research:       ...............................................................................................................................   6

2.       Advantages and Disadvantages:       .............................................................................................................   11

3.       Qualitative research:       ...............................................................................................................................   11

4.       Quantitative Analysis:       ............................................................................................................................   12

5.       Methodology for Combining Qualitative and Quantitative Research to Investigate a Specific Theme:     .   13

P2: Examine secondary sources to collect relevant secondary data and information for an identified 

theme.       ............................................................................................................................................................   14

1.       Primary research:     ....................................................................................................................................   14  

2.       Secondary research:       ................................................................................................................................   15

P3 Discuss the features and operational areas of a businesses in an       .........................................................   20

identified sector.       ............................................................................................................................................   20

1.       Project Logbook:       ....................................................................................................................................   20

2.       Project team:       ...........................................................................................................................................   23

3.       Featues of a datacenter business in the protection of the BigData Big Data Technologies on Operational  

Efficiency in Various Academic       .....................................................................................................................   24

P4: Discuss the role of stakeholders and their impact on the success of a business       .................................   26

1.       Stackeholder       ...........................................................................................................................................   26

2.       Role of stakeholders in the Big Data Technologies on Academic:       .........................................................   27

3.       How stakeholders impact the business in the Big Data Technologies on Academic?       .............................   28

C.       Conclusion:       ............................................................................................................................................   29

D.       Reference:       .............................................................................................................................................   29










LINK DOWNLOAD (TÀI LIỆU VIP MEMBER)

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