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System Requirements:
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System (Hardware/Software) Requirements |
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Operating Software |
Windows XP or Higher |
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Processor |
Minimum P4 or Higher |
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RAM |
1 GB or Higher |
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Browser |
Any |
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Recommended Internet Speed |
Minimum 1MBPS |
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Supported Browser Plug-ins |
Updated Flash Player, Update Java |
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Other Requirements |
Speaker or headphone |
Detailed Product Description:
We bring you the course on Introduction to Big Data & Hadoop to understand todays challenge about the data trend and why it is easier for people to access the data so that they can gain insights and make better decisions. By providing access to broader sets of information, big data can help maximize the analytical insights generated by data analysts and business users. Successful big data analytics applications uncover trends and patterns that enable better decision making, point to new revenue opportunities and keep companies ahead of their business rivals. Whatever type of big data technology stack a company deploys, there are some common considerations that must be addressed to ensure it will provide an effective framework for big data analysis efforts. There has never been a more exciting time with respect to the world of data. We are seeing the convergence of significant trends that are fundamentally transforming the industry and a new era of tech innovation in areas such as social, mobile, advanced analytics, and machine learning. We're seeing an explosion of data where there is an entirely new scale and scope to the kinds of data we are trying to gain insights from. How the Apache Hadoop framework comes in the picture when implementing Big Data solutions. Hadoop systems and NoSQL databases have become key tools for managing big data environments. The entire ecosystem, along with its supporting projects provides the users a highly reliable, fault tolerant framework that can be used for massively parallel distributed processing of unstructured and semi-structured data.
In many cases, though, businesses are utilizing their existing data warehouse infrastructure, or a combination of the new and old technologies, to manage the big data flowing into their systems.
Course Curriculum (Structure):
Lecture 1: Introduction to Big Data
Lecture 2: Implications of big data analytics and artificial intelligence
Lecture 3: How Big Data needs to be contextualized
Lecture 4: Avoid being overwhelmed by Big Data
Lecture 5: Short case study on Artificial Intelligence and Big Data.
Benefits:
To get an insight on what Big Data is and how the Apache Hadoop framework comes in the picture when implementing BigData solutions.
Also learn how by providing access to broader sets of information, big data can help maximize the analytical insights generated by data analysts and business users.
How to use? (Steps to use Study Material):
Step 1 - eduCBA sends the redemption coupon along with the registration link.
Step 2 - Student will register with his register email id and coupon
Step 3 - Student receive the course access and password on his/her email id
Step 4 - Login using your email id and password and start learning
To get more information, you may want to watch the video below
FAQs:
Here you can have a look at our frequently asked questions. We have put together some simple answers you may have, Click here to take a look!
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