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.