Introduction to Hadoop
Big Data
| Beginner
- 7 videos | 27m 14s
- Includes Assessment
- Earns a Badge
Several tools are available for working with big data. Many of the tools are open-source and Linux-based. Explore the fundamentals of Apache Hadoop, including distributed computing, design principles, HDFS, Yarn, MapReduce, and Spark.
WHAT YOU WILL LEARN
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Describe solutions for scaling computing
Describe the design principles of hadoop
Map out the functional view of hadoop
Describe the architecture of hdfs -
Describe the architecture of yarn
Describe the attributes and processes of mapreduce
Describe the architecture of spark
IN THIS COURSE
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4m 50sAfter completing this video, you will be able to describe solutions for scaling computing capacity. FREE ACCESS
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2m 53sAfter completing this video, you will be able to describe the design principles of Hadoop. FREE ACCESS
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3. Functional View of Hadoop3m 23sIn this video, learn how to map out the functional view of Hadoop. FREE ACCESS
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4. HDFS in Action4m 40sAfter completing this video, you will be able to describe the architecture of the HDFS. FREE ACCESS
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5. Yarn in Action5m 37sUpon completion of this video, you will be able to describe the architecture of Yarn. FREE ACCESS
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6. MapReduce in Action3m 17sUpon completion of this video, you will be able to describe the attributes and processes of MapReduce. FREE ACCESS
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7. Spark in Action2m 35sUpon completion of this video, you will be able to describe the architecture of Spark. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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