INF20016 Big Data Management ...

Swinburne University offers this big data management course in Melbourne, Australia. Australia is one of the popular study destinations for students all around the world. However, making the decision to move to a different country to study is not easy. But when it comes to, studying in Australia offers several benefits. It has a relaxed lifestyle, world-class facilities, welcoming people, a global education system, incredible landscapes, diverse study options, and multiculturalism. If you are planning to study inf20016big data management technology from Swinburne University, then think no further. With an enriching history of 110 years old, it offers high-quality teaching that makes educational leaders in the field of science, innovation, technology, design, and business. Here the staff and faculty will enable you to reach your academic goals in a vibrant, fun, and accepting environment. inf20016Big Data Management is an on-campus course that delivers both face-to-face and digital learning. The course teaches the essential tools for acquiring and visualizing large data sets, big units, and management. With this course, students will learn how to manage, store and query databases via SQL to quickly construct insightful visualizations of multi-attribute data using programming languages such as Tableau and Python. The unit covers the management perspective of contemporary data management, particularly big data issues in an organization or business context. Students are introduced to the problems that arise when data is gathered from multiple sources and in diverse formats. Moreover, the data is used for various purposes and as well as the organizational, governance, managerial, and information technology strategy issues that need to be resolved. Students pursuing this course develops an in-depth understanding of data science activities and the various process related to understanding, deriving, interpreting, and managing knowledge of large data sets. With this understanding, they are able to provide better inf20016assignment answers and score better grades. Students who take up this course explore the critical aspects of contemporary data management such as Master Data Management, Social Media Data, Cloyd Storage, Data Warehouses, Infrastructure as a service, Platform as a service, Software as a service, and non-relational database should not be regarded as exclusively techno-centric concepts but also as a management or business consideration. 2.Location Swinburne University, Melbourne, Australia Swinburne University is recognized as a world-ranked university and is spearheading education on industry engagement, social inclusion, and innovation. Since the university is known for its excellence in top-notch quality research facilities and excellence in education, students are required to conduct extensive research to find out the inf20016task answers. Gathering such information can sometimes be excruciating and time-consuming. 3.Study Level This master's degree course requires 50 credit points from the bachelor's degree as a prerequisite. 4.Unit Code inf20016is the unit code that generates 12.5 credit points, and one semester is equivalent to 36 contact hours. The teaching methods include online, offline, and blended learning. For blended learning, the scheduled hours on campus are (8x1 hr), on-campus lectures comprise of (4x1 hr), online tutorials are of (4x1 hr), and online classes are of (4x2 hrs).

Want A Brief Of The Assessment of inf20016Big Data Management? We Got You Covered The assessment is taken as an individual portfolio that holds 60-80% weightage or a group portfolio that accounts for 20-40% weightage. The assessments comprise of: Reflective Practice Journal Assignments Executive Briefing Paper Students are required to spend at least 4 hrs over a week in engagement online with discussion boards and learning activities. The other activities include assessment tasks and independent study of about 150 hours. When students are pondered by their professors over finding inf20016assessment answers, they make sure to hone their research and analysis skills to find out the best plausible solutions. As a result, students who can complete the course successfully are able to: Demonstrate an understanding of the complexity of big data, data lifecycle, pertaining data, etc., while finding inf20016answers. It might also include data quality, data governance, procurement and acquisition, legal, risk, ethical and security issues. Evaluate and analyze appropriate data management inf20016task answers solutions for specific business requirements and needs. Demonstrate a comprehemsive understanding of big data management as an enabler of business agility and innovation. Demonstrate problem-solving, critical thinking, and the ability to communicate effectively as a professional and function as an effective leader or member of a team. When the students submit their inf20016assignment answers, they will receive feedback on: Problem-solving skills Analytical skills Communication Skills Ability to work independently and in a group environment Ability to tackle unfamiliar problems

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