Challenges in implementing BI on Big Data
As the amount of data continues to grow exponentially, compounded by the internet, social media, cloud computing and mobile devices, it poses both a challenge and an opportunity for organizations – how to manage and make use of the ever-increasing amount of data being generated. The big question is how organizations can unlock the economic value of big data through the adoption of big data analytics.
Even if an enterprise installed a big data application onto a perfect platform that integrated and connected all the different forms of data, there would be major issues. The truth is, you cannot suddenly analyze the unstructured data coming from heterogeneous sources. The data needs to be transformed in a way that it can be used and integrated with traditional BI system. Also, the unstructured data cant be directly converted into structured format however we can find a way to analyze the unstructured data. We can summarize Big data as, a popular term used to describe the exponential growth and availability of data, both structured and unstructured. And big data may be as important to business – and society – as the Internet has become. So, there is a need to study the challenges that one can face while implementing BI on Big data.
Keywords: Business Intelligence, Bigdata, Data Science, Data Analysis, unstructured data, traditional BI
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ABOUT THE AUTHORS
Palak Anand
Palak Anand received her B.tech degree in Computer Science from Uttar Pradesh Technical University. She employed with Cybage Software Pvt. Ltd. as a Senior Software Engineer. Her field of expertise is web development using Java and Big Data Analysis. She is currently working on a “proof of concept” for Morgan Stanley Bank.
Rachit Gupta
Rachit Gupta has completed his Bachelor of Technology degree from Uttar Pradesh Technical University in 2012. He is a programmer, working with Yardi Software India Pvt. Ltd., Pune. His research interest lies in the area of big data, predictive analysis and machine learning. He has been part Athena health Inc. development team for data analysis.
Abhishek Nigam
Abhishek Nigam received his Bachelor of Technology degree from the Uttarakhand Technical University in 2012. He is a Senior Software Engineer, working with Cybage Software Pvt. Ltd., Pune. His research interest lies in the areas of Software Quality, Open-source library development, Cryptography and Business Intelligence. He is currently working on a product feature for US Bank.
Palak Anand
Palak Anand received her B.tech degree in Computer Science from Uttar Pradesh Technical University. She employed with Cybage Software Pvt. Ltd. as a Senior Software Engineer. Her field of expertise is web development using Java and Big Data Analysis. She is currently working on a “proof of concept” for Morgan Stanley Bank.
Rachit Gupta
Rachit Gupta has completed his Bachelor of Technology degree from Uttar Pradesh Technical University in 2012. He is a programmer, working with Yardi Software India Pvt. Ltd., Pune. His research interest lies in the area of big data, predictive analysis and machine learning. He has been part Athena health Inc. development team for data analysis.
Abhishek Nigam
Abhishek Nigam received his Bachelor of Technology degree from the Uttarakhand Technical University in 2012. He is a Senior Software Engineer, working with Cybage Software Pvt. Ltd., Pune. His research interest lies in the areas of Software Quality, Open-source library development, Cryptography and Business Intelligence. He is currently working on a product feature for US Bank.
