Techniques and Concepts of Big Data
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Category: CBTs
Big data is big news. But what is big data, and how do we use it? Simply put, big data is data that, by virtue of its velocity, volume, or variety (the three Vs), cannot be easily stored or analyzed with traditional methods. Spreadsheets and relational databases just don’t cut it with big data. In this course, Barton Poulson tells you the methods that do work, introducing all the techniques and concepts involved in capturing, storing, manipulating, and analyzing big data, including data mining and predictive analytics. He explains big data’s relationship to data science, statistics, and programing; its uses in marketing, scientific research, and tools like Amazon’s recommendation engine; and the ethical issues that lie behind its use.
Topics include:
What makes big data “big”
Understanding how big data impacts consumers, businesses, and research
Exploring the intersection of data science and big data
Facing big data’s ethical challenges
Understanding the sources and structures of big data
Storing big data
Prepping big data for analysis
³ 00 Welcome-190767.mp4
³ 09 Next steps-190807.mp4
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ÃÄÄÄ01 What Is Big Data
³ 05 Does big data need all three.mp4
³ 02 Volume.mp4
³ 01 The three Vs of big data.mp4
³ 03 Velocity.mp4
³ 04 Variety.mp4
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ÃÄÄÄ07 Preparing Data for Analysis
³ 01 Challenges with data quality-190797.mp4
³ 03 Additional Vs of big data-190799.mp4
³ 02 ETL – Extract, transform, load-190798.mp4
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ÃÄÄÄ02 How Is Big Data used
³ 03 Understanding big data for research.mp4
³ 02 Understanding big data for business.mp4
³ 01 Understanding big data for consumers.mp4
³
ÃÄÄÄ04 Ethics in Big Data
³ 01 Challenges with anonymity.mp4
³ 02 Challenges with confidentiality.mp4
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ÃÄÄÄ06 Storing Big Data
³ 03 A brief introduction to Hadoop-190795.mp4
³ 02 Cloud computing – IaaS, PaaS, SaaS, and DaaS-190794.mp4
³ 01 Distributed storage and the cloud-190793.mp4
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ÃÄÄÄ08 Big Data Analysis
³ 03 Predictive analytics-190803.mp4
³ 04 Big Data Visualization-190804.mp4
³ 01 Monitoring and anomaly detection-190801.mp4
³ 02 Data mining and text analytics-190802.mp4
³ 05 The role of Excel in big data-190805.mp4
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ÃÄÄÄ03 Big Data and Data Science
³ 04 Data science without big data.mp4
³ 01 Ten ways big data is different from small data.mp4
³ 02 The three facets of data science.mp4
³ 05 Big data without data science.mp4
³ 03 Types and skills in data science.mp4
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ÀÄÄÄ05 Sources and Structures of Big Data
01 Human-generated data.mp4
04 Unstructured data.mp4
03 Structured data.mp4
02 Machine-generated data.mp4
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