Big Data Fundamental Course Overview
Big data refers to making efficient use of the collection of data sets that are large and complex. These complex and vast data cannot be processed using on-hand database management tools or traditional data processing applications. Data processing tools cannot handle such data, and we need different architecture and algorithms to process and store such massive data. Automatic generation supported by Big Data makes the data processing possible.
Big Data Fundamental Certification course allows to gain hands-on experience with handling business, sort out, assess and analyze value-adding data.
What will you learn?
During this Big Data Beginner course, you will learn to:
Understand Big data fundamentals
Learn Big data technologies
Identify the Big data sources
Learn Hadoop
Use Hadoop concepts
Install and configure Hadoop
Know Spark
Use Spark concepts
Why get enrolled in this course
Enroll in this Big Data Basic course to:
Gain knowledge of Big Data analysis
Improve your skills on structured and unstructured data
Learn Hadoop and MongoDB concepts
Learn the procedure to install and use Hadoop and MongoDB
Understand the data mining concepts and tools
Learn Spark and use their concepts
Course Offerings
Live/Virtual Training in the presence of online instructors
Quick look at Course Details, Contents, and Demo Videos
Quality Training Manuals for easy understanding of Big Data
Anytime access to Big Data Reference materials
Gain your Course Completion Certificate on Big Data Topic
Guaranteed high pay jobs after completing Big Data certification
Big Data Fundamental Course Benefits
Learn to work with structured and unstructured data
Thorough understanding of Big data concepts
Gain knowledge of Data Mining Concepts
Learn to install and manage Big data processing environment using Hadoop or MongoDB
Audience
Any audience interested in learning about Big Data
Software engineers
Application developers
System Administrators
Data Analysts and Scientists
Prerequisite for learning Big Data Fundamental
Basic knowledge of Hadoop and Big Data
Course and Syllabus Content
This course includes three essential courses namely
Introduction to Big Data Certification Course
Introduction to Hadoop Certification Course and
Introduction to Spark Certification Course
FAQs
Why is Big Data so important?
Big Data serves as a real asset for any organization when properly utilized. Big data allows customizing offerings based on past data and generates solutions for potential problems. Big data will serve as a game changer for any business.
What is Hadoop?
Hadoop is a framework written in Java which is very efficient for distributed storage and computing. Hadoop enables distributed processing of large data across clusters using a very simple programming model. The Hadoop design allows scaling up from single servers to thousands of machines, and each of them can perform local computation and storage.
What is Spark?
The word "Spark" refers to the process of speeding up the Hadoop computational computing software process. Memory cluster computing is one of the main features of Spark and increases the processing speed in any application.
What is the specialty of Hadoop?
Hadoop serves as an efficient and cost-effective platform for Big data as it runs on commodity servers with attached storage. The commodity servers follow less expensive architecture than a dedicated storage system. Big data program allows users to gain experience and business value using the commodity Hadoop clusters which are scalable.