Customer
The Customer is a leading market research company.
Challenge
Though having a robust analytical system, the Customer believed that it would not be able to satisfy the company’s future needs. Acknowledging this situation, the Customer was keeping their eyes open for a future-focused innovative solution. A system-to-be was to cope with the continuously growing amount of data, to analyze big data faster and enable comprehensive advertising channel analysis.
After deciding on the system’s-to-be architecture, the Customer was searching for a highly qualified and experienced team to implement the project. Satisfied with a long-lasting cooperation with ScienceSoft, the Customer addressed our consultants to do the entire migration from the old analytical system to a new one.
Solution
Though having a robust analytical system, the Customer believed that it would not be able to satisfy the company’s future needs. Acknowledging this situation, the Customer was keeping their eyes open for a future-focused innovative solution. A system-to-be was to cope with the continuously growing amount of data, to analyze big data faster and enable comprehensive advertising channel analysis.
After deciding on the system’s-to-be architecture, the Customer was searching for a highly qualified and experienced team to implement the project. Satisfied with a long-lasting cooperation with ScienceSoft, the Customer addressed our consultants to do the entire migration from the old analytical system to a new one.
After deciding on the system’s-to-be architecture, the Customer was searching for a highly qualified and experienced team to implement the project. Satisfied with a long-lasting cooperation with ScienceSoft, the Customer addressed our consultants to do the entire migration from the old analytical system to a new one.
Results
At the project closing stage, the new system was able to process several queries up to 100 times faster than the outdated solution. With the valuable insights that the analysis of almost 30,000 attributes brought, the Customer was able to carry out comprehensive advertising channel analysis for different markets.
Technologies and Tools
Apache Hadoop, Apache Hive, Apache Spark, Python (ETL), Scala (Spark, ETL), SQL (ETL), Amazon Web Services (Cloud storage), Microsoft Azure (Cloud storage),
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