Learn Big Data Technologies for Complete Beginners

Learn Big Data Technologies for Complete Beginners
Published 5/2024
Duration: 7h20m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.17 GB
Genre: eLearning | Language: English

Hands on course to learn MapReduce, MongoDB and Spark to become Data Engineer.

What you'll learn
Learn to use MapReduce can be used to analyze big data sets
Create your own MapReduce jobs using Python and MRJob
Understand what Big Data Technologies is for, and how it works
Learn writing queries in MongoDB
Learn Data Engineering technologies
Learn to write code with Apache Spark
Learn about Spark SQL, Dataframes etc.

Requirements
Access to a personal computer. This course uses Windows OS.
Simple understanding of Python programming languages such as variables, loops etc

Description
Dive into the world of Big Data with this comprehensive course designed to equip you with the knowledge and skills needed to navigate and leverage large datasets effectively. This course will introduce you to key Big Data technologies, focusing on MapReduce, MongoDB, and Apache Spark. In today's data-driven world, the ability to process and analyze large volumes of data is crucial for making informed business decisions, driving innovation, and gaining a competitive edge. This course, "
Learn Big Data Technologies for Complete Beginners
" is designed to provide you with a solid foundation in the key technologies and methodologies used to handle Big Data, with a focus on MapReduce, MongoDB, and Apache Spark.
Key Topics:
Introduction to Big dаta:
Understanding the concept of Big Data
The importance and impact of Big Data in various industries
MapReduce:
Fundamentals of the MapReduce programming model
Developing and executing MapReduce programs
Real-world use cases
MongoDB:
Basics of NoSQL databases and the need for MongoDB
MongoDB architecture and data modeling
CRUD operations
Indexing for scalability and performance
Apache Spark:
Introduction to Apache Spark and its ecosystem
Spark architecture and components
Spark SQL and DataFrames
Hands-on projects to solidify your understanding
How This Course Can Be Useful:
This course is essential for beginners seeking to advance their careers in data science and engineering. By learning these powerful Big Data technologies, you will gain practical skills that are highly valued in the job market, making you a competitive candidate for data-related roles. The hands-on projects and real-world applications covered in this course will enable you to tackle complex data challenges and drive data-driven decision-making in your organization.
For businesses, this course offers a pathway to harness the power of Big Data to improve operational efficiency, enhance customer experiences, and foster innovation. By understanding how to process and analyze large datasets, you can uncover valuable insights that lead to better strategies and outcomes.
Academics and researchers will benefit from the course by gaining the ability to handle large-scale data, which is crucial for conducting cutting-edge research and contributing to advancements in various fields. The skills learned here will be foundational for any further studies or research projects in data science and related areas.
Who this course is for:
Beginners who want to become Big Data Engineers
Beginners who want to learn about Big Data technologies

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