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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.

Sign up for the Big Data Hadoop Training in Bangalore to begin your career journey in Big Data.

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:

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!

Interested in learning Cassandra, go through our blog on Cassandra Data Model.

Course Schedule

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Big Data Course 22 Jun 2024(Sat-Sun) Weekend Batch
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Big Data Course 06 Jul 2024(Sat-Sun) Weekend Batch
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About the Author

Technical Reseach Analyst - Data Engineering

Abhijit is a Technical Research Analyst specializing in Deep Learning. He holds a degree in Computer Science with a focus on Data Science. Being proficient in Python, Scala, C++, Dart, and R, he is passionate about new-age technologies. Abhijit crafts insightful analyses and impactful content, bridging the gap between cutting-edge research and practical applications.