When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Hadoop and Spark Fundamentals: Unit 3

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Hadoop and Spark Fundamentals: Unit 3

本课程是 Hadoop and Spark Fundamentals 专项课程的一部分

位教师：Pearson

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1个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

7 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Master advanced data ingestion techniques into Hadoop HDFS, including Hive, Spark, Flume, and Sqoop.
Develop and run interactive Spark applications using the Apache Zeppelin web interface.
Install, monitor, and administer Hadoop clusters with Ambari and essential command-line tools.
Utilize advanced HDFS features such as snapshots and NFS mounts for enhanced data management.

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本课程是 Hadoop and Spark Fundamentals 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

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该课程共有1个模块

This course is for those who want to become data engineers or analysts. It covers the key skills needed to manage, process, and analyze large datasets using common industry tools. You will learn how to import data into Hadoop HDFS, Hive tables, and use Spark for direct HDFS imports. The course also covers handling streaming data with Apache Flume and connecting relational databases to Hadoop with Apache Sqoop. You will use Apache Zeppelin for developing Spark applications and learn how to install, monitor, and manage Hadoop clusters with Ambari. The course also introduces advanced HDFS features for data management. By the end, you will be able to use Hadoop and Spark in practical settings.

This module introduces essential tools and techniques for working with Hadoop and Spark. It covers data ingestion into HDFS using Hive, Spark, Flume, and Sqoop, emphasizing methods that preserve data structure. The module also explores user-friendly interfaces, such as Apache Zeppelin for interactive Spark development and Ambari for Hadoop installation and administration. Practical examples and demonstrations guide learners through importing data, managing clusters, and utilizing both web-based and command-line tools, providing a comprehensive foundation for effective Hadoop and Spark operations.

涵盖的内容

17个视频4个作业

17个视频总计330分钟

Learning objectives1分钟
Import data into Hive tables22分钟
Use Spark to import data into HDFS25分钟
Demonstrate a Flume Example—Part 116分钟
Demonstrate a Flume Example—Part 215分钟
Demonstrate a Sqoop Example—Part 119分钟
Demonstrate a Sqoop Example—Part 217分钟
Learning objectives0分钟
Understand Zeppelin features18分钟
Deconstruct a Spark application in Zeppelin19分钟
Learning objectives0分钟
Install and configure Hadoop using Ambari—Part 130分钟
Install and configure Hadoop using Ambari Part—233分钟
Perform simple administration and monitoring with Ambari46分钟
Perform simple command line administration30分钟
Utilize additional features of HDFS28分钟
Course Summary4分钟

4个作业总计120分钟

Getting Data into Hadoop HDFS Quiz30分钟
Using the Zeppelin Web Interface Quiz30分钟
Learning Basic Hadoop Installation and Administration Quiz30分钟
End of Course Assessment30分钟

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位教师

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268 门课程22,290 名学生

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常见问题

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.