Big Data and Hadoop for Beginners – with Hands-on Course Site
Everything you need to know about Big Data and how to use Hadoop, HDFS, MapReduce, Hive, and Pig by creating a Data Pipeline will be covered in this course.
What you’ll learn
Big Data and Hadoop for Beginners – with Hands-on Course Site
- Understand the various technological advancements, wage patterns, the Big Data market, and the many career categories in the Big Data field.
- Discover what Hadoop is used for and how it functions.
- Understand the intricate architectures of Hadoop and the components that make up the system.
- Hadoop installation on your computer is complete.
- Documents of superior quality.
- Demos: HDFS commands, Hive queries, and Pig queries are being executed.
- Sample data sets and scripts are provided (HDFS commands, Hive sample queries, Pig sample queries, Data Pipeline sample queries).
- Begin creating your code in Hive and Pig to handle massive amounts of data processing.
- Create your data pipeline with the help of Pig and Hive.
- Learn about the Data Lake, which is a modern data architecture.
- Make use of large data sets for practice.
Requirements
- Knowledge with SQL and relational database management systems (RDBMS) would be advantageous.
- Machine: Macintosh, Linux/Unix, or Microsoft Windows
Description
The primary goal of this course is to assist you in understanding the Complex Architectures of Hadoop and its components, directing you in the appropriate way to begin with, and enabling you to rapidly begin working with Hadoop and its constituents.
This course includes a large number of hands-on examples that will assist you in learning Hadoop in a short amount of time.The course is divided into six sections, each of which focuses on a different topic.
Big Data at a Glance: Gain an understanding of Big Data as well as the many job roles necessary in the Big Data market. Learn about the compensation trends for big data professionals around the world. Learn about the newest technology and the trends that are affecting them in the market.
Get Started with Hadoop: Acquaint yourself with Hadoop and its complicated architecture. Simple examples will guide you through the Hadoop Ecosystem. Understand the differences between Hadoop versions (Hadoop 1.x vs Hadoop 2.x), the many Hadoop vendors available on the market, and Hadoop on the Cloud. We will look at how to manage HDFS by using HDFS commands from the command line in this section.
Getting Started with Hive: Understand the type of problem that Hive is designed to handle in the Big Data world. Learn about the building’s architectural design and operating mechanism. Learn about Hive data models, the many file formats that Hive supports, Hive searches, and other related topics. In Hive, we will be able to observe queries that are currently running.
Getting Started with Pig: Learn how Pig is used to solve challenges in the Big Data world. Learn about the building’s architectural design and operating mechanism. Learn how Pig Latin works in Pig by watching this video. You will be able to distinguish the differences between SQL and Pig Latin after this lesson. Demonstrations of how to perform various queries in Pig.
Applications: Real-world Hadoop applications are essential for gaining a deeper understanding of Hadoop and its components; hence, we will be learning by creating a sample Data Pipeline in Hadoop to process large amounts of data. In addition, learn about how firms are incorporating new data architecture, such as Data Lakes, into their overall data infrastructure.
Practice: Experiment with large data sets to improve your skills. Learn Design and Optimization Techniques by creating Data Models and Data Pipelines with real-world application data sets and applying them to real-world applications.
Who this course is for:
- This course treats everyone as a complete novice and covers all of the fundamentals of Big Data, Hadoop, and the complicated architecture that underpins it.
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