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Hadoop Quick Start
A Cloud Guru
A Cloud Guru
Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be impossible with traditional data systems. In this course, we are going to jump right into deploying Hadoop, configuring HDFS, and executing MapReduce jobs. Lastly, you will get to try it all out yourself with a guided hands-on learning activity. So let's get started!
Register for this course and see more details by visiting:
OpenCourser.com/course/f5gjc1/hadoop
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Gets right into Hadoop deployment, HDFS configuration, and MapReduce execution
Incorporates a guided hands-on learning activity
Designed for beginners looking to jumpstart their Hadoop journey
Taught by A Cloud Guru instructors, recognized for their expertise in cloud computing
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Activities
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We're preparing activities for
Hadoop Quick Start.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Hadoop Quick Start will develop knowledge and skills
that may be useful to these careers:
Hadoop Administrator
Hadoop Administrator
Hadoop Administrators are responsible for managing and maintaining Hadoop clusters. This course will teach them the fundamentals of Hadoop administration, including how to deploy Hadoop, configure HDFS, and execute MapReduce jobs.
Big Data Engineer
Big Data Engineer
Big Data Engineers design and implement systems for storing and analyzing large datasets. Hadoop is one of the most popular frameworks for big data engineering. This course will teach Big Data Engineers how to deploy Hadoop, configure HDFS, and execute MapReduce jobs.
Software Engineer
Software Engineer
Software Engineers design and develop software systems. They are often required to work with big data frameworks like Hadoop. Software Engineers who take this course can learn how to deploy Hadoop, configure HDFS, and execute MapReduce jobs. This knowledge and expertise is highly sought after.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. Hadoop is often used for training and deploying machine learning models. This course will help Machine Learning Engineers learn how to use Hadoop for big data machine learning.
Data Analytics Manager
Data Analytics Manager
Data Analytics Managers lead teams of data analysts and are responsible for developing and implementing data analytics strategies. Hadoop is a key technology for big data analytics. This course will help Data Analytics Managers learn how to use Hadoop to gain insights from data.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. Hadoop is commonly used in cloud environments for big data storage and analysis. Therefore, Cloud Architects who take this course may gain valuable knowledge and skills that can help them advance their career.
Data Analyst
Data Analyst
Data Analysts use a wide range of frameworks and technologies to store, process, analyze, and visualize data. Hadoop is one of the most robust and scaleable of these frameworks. Therefore, this course will be invaluable to Data Analysts who wish to develop expertise in big data storage and analysis.
Chief Technology Officer
Chief Technology Officer
Chief Technology Officers are responsible for overseeing all aspects of technology within an organization. Hadoop is a critical technology for big data. This course may help Chief Technology Officers gain a better understanding of Hadoop and how to use it to drive innovation.
Chief Data Officer
Chief Data Officer
Chief Data Officers are responsible for overseeing all aspects of data management within an organization. Hadoop is a critical technology for big data management. This course may help Chief Data Officers gain a better understanding of Hadoop and how to use it to drive business value.
Data Warehousing Architect
Data Warehousing Architect
Data Warehousing Architects design and implement data warehouses. Hadoop is a popular choice for data warehousing due to its ability to store and analyze large amounts of data. This course may be helpful for Data Warehousing Architects who are looking to gain expertise in Hadoop.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. As Hadoop is a powerful tool for storing and analyzing data, it can be a valuable asset to Database Administrators. This course will help them learn the fundamentals of Hadoop and how to implement it in their work.
IT Architect
IT Architect
IT Architects design and implement IT systems. This often involves working with big data frameworks like Hadoop. Hadoop's ability to scale up and down easily makes it a popular choice for IT Architects.
Data Scientist
Data Scientist
Data Scientists are responsible for developing new algorithms and models for data analysis. Hadoop is critical to this process as it enables the storage and processing of massive datasets. This course may help Data Scientists build a foundation of knowledge in this framework.
Business Analyst
Business Analyst
Business Analysts use data to help businesses make better decisions. Hadoop's ability to store and analyze massive amounts of data can be a valuable asset to Business Analysts. This course will teach them how to leverage Hadoop to gain insights from data.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. As Hadoop is a framework for analyzing voluminous data, this course may be helpful for Data Engineers who wish to apply this powerful framework to their work.
For more career information including salaries, visit:
OpenCourser.com/course/f5gjc1/hadoop
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Hadoop Quick Start.
This comprehensive book provides an in-depth overview of Hadoop, including its architecture, components, and use cases. It serves as a valuable reference for readers seeking a deep understanding of the technology.
Save
This practical guide focuses on the operational aspects of Hadoop, covering topics such as cluster management, job scheduling, and data management. It offers valuable insights for system administrators and engineers.
Save
This practical guide focuses on real-world Hadoop applications, providing readers with hands-on experience in building and deploying Hadoop solutions.
Save
This introductory book provides a concise overview of Hadoop, its components, and how to use it effectively. It good starting point for learners new to the technology.
Save
Presents case studies and real-world examples of Hadoop deployments. It offers practical guidance for implementing Hadoop solutions in various industries.
Save
Introduces Apache Spark, a fast and versatile data processing engine. While not directly related to Hadoop, Spark is often used in conjunction with Hadoop and provides complementary capabilities.
Provides a comprehensive overview of data science and big data analytics techniques. It covers a wide range of topics, including data preparation, modeling, and visualization.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/f5gjc1/hadoop
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Time
150 hours
Level
Intermediate
Via
Pluralsight
Instructor
A Cloud Guru
Language
English
Good to know
Gets right into Hadoop deployment, HDFS configuration, and MapReduce execution
Incorporates a guided hands-on learning activity
Designed for beginners looking to jumpstart their Hadoop journey
Taught by A Cloud Guru instructors, recognized for their expertise in cloud computing
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