Big Data Concepts: Big Data Essentials
Big Data 2021
| Beginner
- 12 Videos | 40m 56s
- Includes Assessment
- Earns a Badge
Big data analytics, collecting vast amounts of data and transforming it into insights, drives major business decisions everywhere. Managers, decision-makers, data technicians, and data enthusiasts alike benefit from knowing how various systems and technologies are used in big data projects. Use this course to progress from a foundational comprehension of big data analytics to grasping more advanced concepts, like parallel and distributed computing systems and horizontal and vertical scaling. Take an in-depth look at Hadoop's main components and characteristics and how it's used for big data analytics. Then, delve into the various kinds of storage systems used in big data. Upon completing this course, you'll have a greater comprehension of the tools and methods used to execute big data projects.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursedescribe how to add structure to raw data and name big data tools that aid this processdescribe the difference between data warehousing and big data and specify the impact that big data has had on data warehousingcompare and contrast parallel and distributed computing systemsdescribe the difference between horizontal and vertical scaling and specify why horizontal scaling is the best choice with respect to big datadescribe the Hadoop system and name its main features, benefits, and use cases
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describe the subcomponents of Hadoop, such as MapReduce and HDFSspecify the importance of migrating from Hadoop to modern data platforms and briefly describe the migration processcompare the functionality and use cases of Hadoop and cloud computing platformsname and describe the features of Hadoop HDFS and identify common in-memory storage systems including Kudu, Elasticsearch, and CockroachDBdescribe in-memory storage systems and their use cases and advantages using examplessummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 40sUP NEXT
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2.Raw Data and Big Data3m 22s
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3.Data Warehousing and Big Data3m 40s
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4.Big Data Computing Systems2m 19s
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5.Horizontal and Vertical Scaling2m 46s
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6.Features, Benefits, and Use Cases of Hadoop4m 17s
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7.Hadoop: Components6m 12s
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8.Hadoop: Migration to the Cloud2m 50s
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9.Hadoop and Cloud Computing3m 3s
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10.Features of Big Data Storage Systems6m 44s
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11.In-memory Storage Systems3m 7s
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12.Course Summary58s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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