Learn Big Data: The Hadoop Ecosystem Masterclass
This course is perfect for anyone looking to learn the fundamentals of Big Data and the Hadoop Ecosystem. Learn how to process Big Data using batch and realtime data, understand the technologies that comprise the Hadoop Stack, and possess the ability to install and configure the Hortonworks Data Platform (HDP). Get started today and become a Big Data expert! ▼
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Course Feature
Cost:
Paid
Provider:
Udemy
Certificate:
No Information
Language:
English
Start Date:
Self Paced
Course Overview
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Updated in [June 30th, 2023]
This course, Learn Big Data: The Hadoop Ecosystem Masterclass, provides an overview of the technologies that comprise the Hadoop Stack. It covers the fundamentals of processing Big Data using batch and realtime data. Participants will gain the ability to install and configure the Hortonworks Data Platform (HDP). By the end of the course, participants will have a comprehensive understanding of the Hadoop Ecosystem and the ability to process Big Data.
[Applications]
The application of this course can be seen in the ability to process Big Data using batch and realtime data, as well as understanding the technologies that comprise the Hadoop Stack. Additionally, the course provides the skills to install and configure the Hortonworks Data Platform (HDP). With these skills, users can apply the knowledge to their own projects and use the Hadoop Ecosystem to process Big Data.
[Career Path]
One job position path that is recommended for learners of this course is a Big Data Engineer. Big Data Engineers are responsible for designing, developing, and maintaining the infrastructure and systems that are used to store, process, and analyze large amounts of data. They must have a strong understanding of the Hadoop ecosystem, including technologies such as HDFS, MapReduce, Hive, Pig, and Spark. They must also be able to install and configure the Hortonworks Data Platform (HDP).
The development trend for Big Data Engineers is to become more specialized in the technologies that comprise the Hadoop Stack. As the demand for Big Data solutions continues to grow, Big Data Engineers must be able to understand and utilize the latest technologies in order to provide the most efficient and effective solutions. Additionally, Big Data Engineers must be able to work with other teams, such as Data Scientists and Business Analysts, in order to ensure that the solutions they provide are tailored to the needs of the organization.
[Education Path]
The recommended educational path for learners of this course is to pursue a degree in Big Data Analytics. This degree program typically includes courses in data mining, machine learning, data visualization, and programming. It also covers topics such as data warehousing, data engineering, and data security. Students will learn how to use various tools and technologies to analyze large datasets and gain insights from them. They will also learn how to develop and deploy predictive models and use them to make decisions.
The development trend of Big Data Analytics is towards the use of more sophisticated algorithms and technologies to process and analyze data. This includes the use of artificial intelligence, natural language processing, and deep learning. Additionally, the use of cloud computing and distributed computing technologies is becoming increasingly popular for processing and analyzing large datasets. As the demand for data-driven insights continues to grow, the need for professionals with expertise in Big Data Analytics will also increase.
Course Syllabus
What is Big Data and Hadoop
Introduction to Hadoop
Pig
Apache Spark
Hive
Real Time Processing
Kafka
Storm
Spark Streaming
HBase
Phoenix
Hadoop Security
Ranger
HDFS Encryption
Advanced Topics
Course Provider
Provider Udemy's Stats at AZClass
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