Apache Hadoop is a collection of open-source software or reliable, scalable, distributed computing. It allows you to use a network of many computers to solve problems involving massive amounts of data and computation.
The demand for sorting data is a great challenge. When you want to use analytics, the technology should be trustworthy. Fortunately, there is Apache Hadoop for you.
The [course_title] course is designed to help you to understand and deploy Hadoop. Upon completion, you will able to use your Hadoop cluster for data management and analysis.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.
Having an Official Edukite Certification is a great way to celebrate and share your success. You can:
- Add the certificate to your CV or resume and brighten up your career
- Show it to prove your success
Course Credit: Linux Foundation
Course Curriculum
| Module: 01 | |||
| A Word from Your Instructor | 00:04:00 | ||
| Module: 02 | |||
| Enterprise Data Management: From Relational Databases to Hadoop “Data Lakes” | 00:01:00 | ||
| Information Explosion Era | 00:05:00 | ||
| Business Outcomes | 00:04:00 | ||
| Cost Savings | 00:02:00 | ||
| Choose Your Own Adventure | 00:01:00 | ||
| Understanding Hadoop and Its Ecosystem | 00:10:00 | ||
| Chapter 2 – Summary | 00:01:00 | ||
| Module: 03 | |||
| Core Hadoop Architecture | 00:02:00 | ||
| HDFS | 00:03:00 | ||
| HDFS Architecture | 00:09:00 | ||
| YARN Cluster Architecture | 00:11:00 | ||
| Policy-Based Use of Cluster Resources | 00:02:00 | ||
| Chapter 3 – Summary | 00:01:00 | ||
| Module: 04 | |||
| Parallel Processing | 00:02:00 | ||
| A “Data Parallel” Approach | 00:06:00 | ||
| MapReduce | 00:04:00 | ||
| Chapter 4 – Summary | 00:01:00 | ||
| Module: 05 | |||
| Deploying Hadoop | 00:02:00 | ||
| Non-Distributed Hadoop: Local Mode Demo | 00:05:00 | ||
| Running MapReduce in Local Mode Demo | 00:04:00 | ||
| Running Spark and Hive in Local Mode Demo | 00:05:00 | ||
| HDFS in Pseudo-Distributed Mode Demo | 00:07:00 | ||
| Running Hive and MapReduce on YARN Demo | 00:09:00 | ||
| Using Apache Ambari | 00:15:00 | ||
| Chapter 5 – Summary | 00:01:00 | ||
| Module: 06 | |||
| Hadoop Security | 00:01:00 | ||
| Hadoop Security: Hive Query | 00:09:00 | ||
| Chapter 6 – Summary | 00:01:00 | ||
| Course Summary | 00:02:00 | ||
| Assessment | |||
| Submit Your Assignment | 00:00:00 | ||
| Certification | 00:00:00 | ||
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