AWS Glue: Serverless Solution for Transforming Data Matching
Explored and helped our clients for the usage of AWS Glue and other advanced AWS services to tackle the issues in huge of data and achieved scalable data matching and resolution.
View Case StudyRevolutionize Data Structure with Apache-Spark
Discover how we transformed a petroleum company's data management using Apache Spark, efficiently normalizing complex data from diverse sources, detecting anomalies, and enabling seamless loading with version control.
View Case StudyStreamlining and Analyzing Diverse Data Streams for Enhanced Data Analytics
Discover how we transformed our client’s struggle with intricate, high volume data streams into a streamlined and efficient process by utilizing Apache Spark and Apache Kafka, along with our innovative approach.
View Case StudyEntity Resolution
Entity Resolution is the task for finding every instance of an entity such as a customer, across all enterprise systems,applications, and knowledge bases on-premises and in the cloud.
View Case StudyData Retention For Intermediate Results
Ksolves developed a multi-step checkpoint algorithm with data recovery options.
View Case StudyDomain-Specific Data Processing Engine
Ksolves delivered an intelligent Spark program that delivers the desired data without getting to code.
View Case StudyData Mapping Using Apache Spark
Managing a high magnitude of files that scales up each year can be a huge and risky task. Our client wants to handle the data with a well-managed and adaptive solution. With the assistance of Apache Spark technology, Ksolves delivered a well-managed and adaptive solution for a meta-data-driven system.
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