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BIG DATA ANALYTICS
An interactive online instructor-led course module powered by #BlendedLearning
BIG DATA ANALYTICS COURSES AT EITS
Big Data Analytics EITS is designed to help Learners master data analysis by deploying various techniques, algorithms by understanding and applying these features in real-time scenarios. This programme will help learners navigate through the complex layers of the Hadoop ecosystem and data analytics, and effectively think about using a multitude of technologies and architectures to design robust next-gen data warehouses. Learn how to leverage big data using industry standard tools and by developing analytical models to solve real commercial problems and discover varying ways to extract meaningful insights from the massive volumes of data residing in advanced big data repositories using tools such as Hadoop. Through a series of case studies and VILT sessions, learners will gain insight into efficient analytics solutions and use Hadoop to identify key business goals and define coherent and structured solutions.
LEARNING BIG DATA ANALYTICS AT EITS
The growing sophistication and falling cost of data analysis have allowed enterprises and SMBs to effectively evaluate key aspects of operations and workflow that can dramatically enhance efficiency and performance. Over the last few years many organizations have successfully integrated data analytics in their day-to-day operations to reap benefits. However, for many organizations, Data Analytics still remains alien and intimidating. While most of them can comprehend the potential of the technology, the lack a skilled resource that can analyze and interpret large volume of data makes the implementation challenging.
LEARNING OUTCOMES
Gain in-depth knowledge of Big Data and Hadoop & its ecosystem
Master real-time data processing using various tools
Become expert in working on data, and managing data resources
Become functional programmer implementing various applications to ensure effective data processing and optimization techniques are in place
Expert knowledge to apply interactive algorithms and work on data forms
Exhibit capability to ingest and analyze large data-sets
Recommend solutions based on analysis done
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