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Big Data Solutions

Differentiation between Operational vs. Analytical Systems

Operational Analytical
Latency 1 ms to 100 ms 1 min to 100 min
Concurrency 1000 to100,000 1 to 10
Access Pattern Writes and Reads Reads
Queries Selective Unselective
Data Scope Operational Retrospective
End User Customer Data Scientist
Technology NoSQL Database MapReduce, MPP Database

Certification in Bigdata Analytics

Traditional Enterprise Approach

This approach of enterprise will use a computer to store and process big data. For storage purpose is available of their choice of database vendors such as Oracle, IBM, etc. The user interacts with the application, which executes data storage and analysis.

Limitation

This approach are good for those applications which require low storage, processing and database capabilities, but when it comes to dealing with large  amounts of scalable data, it imposes a bottleneck.

Watch this video on ‘Hadoop Tutorial for Beginners:

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Solution

Google solved this problem using an algorithm based on MapReduce. This algorithm divides the task into small parts or units and assigns them to multiple computers, and intermediate results together integrated results in the desired results. Intellipaat’s Big Data Hadoop training will really help you get a better understanding the concepts of Big Data Solutions in Open Data Platform!

Course Schedule

Name Date Details
Big Data Course 23 Nov 2024(Sat-Sun) Weekend Batch View Details
30 Nov 2024(Sat-Sun) Weekend Batch
07 Dec 2024(Sat-Sun) Weekend Batch

About the Author

Technical Research Analyst - Big Data Engineering

Abhijit is a Technical Research Analyst specialising in Big Data and Azure Data Engineering. He has 4+ years of experience in the Big data domain and provides consultancy services to several Fortune 500 companies. His expertise includes breaking down highly technical concepts into easy-to-understand content.