How Cloud answers the call for high-performance data integration

Posted in: Business Insights

Data-driven business users have come to expect faster and more complete analytics results than ever before. This means IT departments are faced with the challenge of integrating more data types from more sources. Traditional data warehouse technology is simply not up to new demands for complex integrations. These solutions were built to handle highly structured data like names and dates, but are not equipped to handle the unstructured data from sources like social media.

By contrast, cloud platforms are built for big data, and answer the challenge of handling exploding volumes of structured and unstructured data from multiple sources. Bringing together unparalleled agility, scalability and automation capabilities, leading cloud platforms are becoming an attractive option for big data integration. With their powerful automation features, cloud platforms make it easier to build data pipelines for data ingestion, while built-in connectors allow you to quickly connect to common data sources such as your CRM, financial, ERP and other systems.

In a report released today in DBTA (dbta.com), Lynda Partner looks at a few of the ways cloud is answering the call for high-performance data integration.

Click here to read the report now.

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About the Author

Lynda Partner is a self-professed data addict and experiences the power of data every day as Pythian’s Vice President of Analytics-as-a-Service. The author of Pythian’s Love Your Data mantra, Lynda understands very well how data can transform companies into competitive winners and she was the driving force in adding an analytics practice to Pythian’s database focus. Lynda works with companies around the world and across industries to turn data into insights, predictions and products, and is the co-author of Designing Data Lakes in the Cloud.

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