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Tag: data integration
With the adoption of new technologies, like IoT, AI, etc. and to keep up with the ongoing market traction, enterprises often have the urge to fasten the testing step in the software development lifecycle. Testing is a way to determine if the application performs according to the set configurations. Thus, the importance of software testing … Continue reading Cloud Data Integration – A Modern Approach for Handling Test Data
/certifications/ Data is the world’s most valuable resource, but its helpfulness depends on how you use it. Despite having quality information, many analysis projects fall short of expectations because of poor integration. Embracing a more modern data integration approach is a crucial step in making the most of your information. Integration is easy to overlook … Continue reading 5 Reasons Why Modern Data Integration Gives You a Competitive Advantage
Time series databases are intentionally crafted to handle extensive data volumes that are produced over the course of time. These databases have gained increasing traction in a multitude of industries such as finance, healthcare, and energy, where time-sensitive data necessitates real-time analysis. However, with the upsurge in the adoption of time series databases, there arises … Continue reading Data Integration Techniques for Time-Sensitive Data
Today’s enterprise IT landscape is a collection of ERP, legacy software, CRMs, on-premise systems, and various applications integrated through APIs. While these systems give organizations extensive flexibility, they are notorious for creating data silos. Leveraging data for decision-making is critical for revenue growth. But data silos stop us from having a clear view of data, … Continue reading Enterprise Data Integration: How It Helps Us Centralize Information for Effective Decision-Making
The data lake may be all about Apache Hadoop, but integrating operational data can be a challenge. A Hadoop software platform provides a proven cost-effective, highly scalable and reliable means of storing vast data sets on commodity hardware. By its nature, it does not deal well with changing data, having no concept of "update," nor … Continue reading Providing transactional data to your Hadoop and Kafka data lake
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