Big data is a term for data sets so large that traditional data processing applications can’t be used to perform meaningful analysis. However, data itself is not significant – it’s the measuring of data trends, patterns and associations that’s important, and demand for these unique analytical skills has continued to rise.
Overcoming Business Challenges With Big Data is an online course that will introduce you to the fundamentals of big data from a historical perspective and in the context of emerging technologies.
In this IT course, you will learn about the challenges it presents, and explore the legal, security, marketing, sales and operational perspectives surrounding Big Data.
You will also study some of the theoretical aspects of Big Data, including the Apache software foundation, NoSQL databases, the design principles of Hadoop and the Big Data Stack.
On completion of this course, you will have a firm grasp of some of the challenges businesses face as a result of its usage and be able to leverage the power and exponential growth of Big Data into the 21st century.
Course Structure
Unit 1 - Big Data teams and projects
- Analytics and business team members
- Solutions and cluster team members
- Big Data impacting IT
- Big Data projects
- DIY super computing
- Hadoop in the clouds
- Data warehouses
- Business case
- Big Data and RDBMS
- Data centre projects
- Big Data use cases
- Big Data engines
- Common analytics use cases
- Impacting the globe
Unit 2 - Opportunities and challenges
- Global increasing digital volume
- Big companies
- Opportunities and challenges
- Planning for Big Data
- Big Data impacting business
Unit 3 – Perspectives
- The legal perspective
- Privacy concerns and protecting data
- Laws, ethics and regulations
- Responsibility with predictions
- Data discovery
- Monetising Big Data
- Data collection and transparency
- Ignoring social media
- The corporate leadership perspective
- Economic value
- Big Data products and skills
- Governance strategy
- Stewardship
- Impacting human resources
- Culture clash
- Incubators
- Big Data in perspective
- Technology waves
- Emerging technologies
- The engineering perspective
- Big Data needs and risks
- Building cloud infrastructures and on-site infrastructures
- Building Big Data teams
- Software options
- Examining analytics
- Data visualisation
- Using data analytics effectively
Unit 4 - Hadoop in detail
- Distributed computing
- Design principles of Hadoop
- Functional view of Hadoop
- HDFS in action
- Yarn in action
- MapReduce in action
Unit 5 - Securing big data streams
- Streaming data security
- NoSQL security
- Distributed processing security risks
- Data mining and analytics privacy flaws
- End-point device tampering risks
- Secure data streams and data in motion
- End-point input validation and filtering
Secure data at rest with symmetric ciphers
Unit 6 - Marketing and sales perspective
- Purchasing habits
- Technology trends
- The mobile effect
- The path to purchase
- Marketing research methods
- Misusing technology
- Datafied consumer behaviour
- Split testing and cross-channel marketing
- User profiling
- The sales perspective
- Data science
- Big Data awareness
- Finding leads
- Algorithms and software
- The internet of things
- Technology accelerations
- Barriers to adoptions
- The strategic planning perspective
- Measuring data value
- Leadership concerns and challenges
- Integrating data sources
- Analytical models
- Securing funds
Unit 7 - Orchestrating in Big Data operations
- Trends in system orchestrations
- Integrating Big Data and business
- Big Data and ETL
Unit 8 - Testing Big Data
- Data warehousing vs Big Data testing
- Testing applications
- ETL and warehouse testing principles
- Performance testing
- Testing data loads
- Testing tools with Hadoop ecosystems
Unit 9 - Big Data Fundamentals
- Characteristics and benefits
- Data source types
- Big Data by market sector
- Big Data and security
- Phases of the data life cycle
Unit 10 - Interpreting Big Data
- Data analysis process
- Business intelligence
- Sat analytics
- Data storage, management, cleaning and mining tools
- Data analysis, visualisation and integration tools
- Analysis challenges
Unit 11 - Additional topics
- Global Data
- Defining Big Data
- Key terms
- Data sets
- The key contributors
- Distro companies
- The Apache software foundation
- Apache projects
- Open source projects
- Big Data stack
- Big Data components
- NoSQL databases
- New generation, bigger data
- Data operations
- Monitoring Big Data operations
- Big Data repositories
- Understanding Big Data metrics
- Concepts and monitoring performance
- Today’s challenges with Big Data
- Challenges businesses face today
- Data leakage
- Prevention and preserving
Assessment
Assessment
When you study with Australian Online Courses, you will be assessed using a competency-based training method.
Competency-based training focuses on the achievement of skills and knowledge against set criteria to ensure your competency is industry relevant. You will not be benchmarked against other students.
If you do not achieve a competency result on your first attempt, you have two more attempts to pass your assessment. So, you have three attempts in total to obtain a competency result.
In this way, you can complete your course in your own time and at your own pace with the assistance of unlimited tutor support.
In this course, you will be assessed via multiple-choice questions to determine your mastery of details and specific knowledge gained during your studies to achieve a ‘competent’ or ‘not yet competent’ result.
Benefits of Multiple-Choice Assessments
- Appropriate for assessing students’ mastery of details and specific knowledge.
- Can be used to assess both simple knowledge and complex concepts.
- Questions can be answered quickly to accurately assess a students’ mastery of many topics relatively quickly.
- Assessment can be quickly and reliably scored to achieve a ‘competent’ or ‘not yet competent’ result.
- As the answers are visible, multiple-choice questions offer the opportunity for the continuation of the learning process, offering educational value.
Course FAQs
Why Choose Australian Online Courses?
- Professional development that is widely recognised and respected;
- Improve your employment opportunities;
- Study online, anywhere via our elearning system;
- High-quality professional development programs written by industry experts;
- No entry requirements;
- All course materials provided online – no textbooks to buy;
- Unlimited tutor support;
- Easy to understand course content;
- We offer twelve (12) months’ access, with extensions available upon application (fees apply);
- Certificate of Attainment/Completion issued for your CV (hard copy provided); and
- Course may be tax deductible; see your tax advisor.
How long will it take to complete this course?
The approximate study hours for this course is 15 hours. We offer twelve (12) months’ access, with extensions available upon application (fees apply).
Can I purchase optional printed materials?
While printed materials are not available for purchase, transcripts of video lectures and other learning resources are available for printing via our elearning system.
When can I start this course?
You can start within 60 minutes during business hours when you enrol and pay in full with a credit card!
Credit card: Within 60 mins during business hours.
BPAY: Within 1-2 working days.
Internet Banking: Within 1-2 working days.
Cheque/Money Order: Upon receipt of mailed cheque.
Will I receive a certificate upon completion of this course?
Yes! You will receive a Certificate of Attainment upon successful completion of your assessment.
Do I need to attend classes or undertake any work placements?
No. All courses are delivered online via our e-learning system and there are no work placement requirements in this course.
What support can I expect from Australian Online Courses?
Unlimited tutor support is available throughout your studies via email during business hours Monday to Friday. Our Administrative team are available Monday to Friday via email, live chat and telephone.
I am an international student. Can I enrol into this course?
Yes! We accept enrolments from individuals both within Australia and internationally; location is no barrier to entry into our programs.
Career Pathways
Future growth
Strong
Unemployment
Low
Professional Development for
- Business analysts
- Data Analysts
- Data Scientists