Big Data: Demystifying the Big Idea
Big Data: Demystifying the Big Idea
What you’ll learn
Skills you’ll gain
Data has been considered an important asset for an organization, and nowadays, we have entered the era of big data that traditional data process tools and processes cannot address. So, a new set of tools and vendors have come to play in the data industry. In this course, the instructor provides an introduction to Big Data to different levels of audiences. After this course, students will understand big data, the concept, processes, vendors, considerations, and risks for big data analytics, and how to build a big data organization. Also, this course includes a public case study to showcase the concept introduced in this course.
Syllabus
Download syllabus-
1
Characteristics of Big Data Big Data has been a buzzword in the recent decade. 3m
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2
Big Data vs data warehouse Big Data and Data Warehouse both exist as enterprise data infrastructures, so understanding the differences and how they work together can help people understand big data. 4m
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3
Use cases and benefits Understanding big data analytics use cases and benefits can help organizations drive the most value from their ever-growing data asset. 3m
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Big Data building blocks Understanding the building blocks of Big Data analytics is important to help you understand Big Data. 4m
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2
Streaming and batch processes There are several processes you can use to analyze Big Data - two key ones being streaming and batch processes. 4m
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3
Relationship to AI, ML, and IOT There are a few new terms like AI, ML, and IOT related to Big Data. 4m
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4
What is Hadoop There are many choices of tools and vendors for organizations to build the end-to-end Big Data Analytics Systems. 4m
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5
Tools in the Hadoop ecosystem Because Hadoop is an Open Source platform, a lot of tools are built in this ecosystem to support different use cases. 3m
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6
Identifying hosting infrastructures In terms of the hosting infrastructure of Big Data analytics and processing systems, there are On-Premises, Cloud, and Hybrid infrastructures. 4m
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What is cloud services Nowadays, companies use the cloud for a lot of their technology services. 3m
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2
Hosting solutions Why is the cloud a big deal for Big Data solutions? 3m
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1
Home Depot story Examining real stories is a great way to better understand the concepts involved with Big Data analytics. 3m
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Building your product Building a data-driven product can help your organization be more proactive and less reactive. 2m
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2
Building your team There are different roles to support a variety of job functions of a data-driven organization. 3m
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3
Building your process Building an effective process can help your organization streamline the data analytics process to help minimize opportunities for error while maximizing actionable insights. 4m
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1
Next steps Thank you for watching this course! 1m
Certificate
Certificate of Completion
Awarded upon successful completion of the course.
Instructor
Annie Xu
Annie is a Senior Big Data and AI Customer Engineer from Google; previously, she worked for Anthem, MCA Connect, and Microsoft, with 10 years of experience in the Data and AI field. She is a Google and Microsoft Certified Data professional with distinguished leadership in developing organizational data strategies, implementing big data, data warehouse, and AI systems, and advising on organizational data and AI functions toward operational efficiency and process improvement. She has worked in different job functions in the Data and AI space, supporting companies in various industries like Healthcare, Manufactury, FInance, and Digital Native.
Annie Xu
Data Analytics Expert and AI Enthusiast
Accreditations
Link to awards
How GoSkills helped Chris
I got the promotion largely because of the skills I could develop, thanks to the GoSkills courses I took. I set aside at least 30 minutes daily to invest in myself and my professional growth. Seeing how much this has helped me become a more efficient employee is a big motivation.
