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IBM InfoSphere Information Server

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Hyper-Q

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What is IBM InfoSphere Information Server?

Quickly set up cloud environments customized for immediate development, testing, and improved efficiency for both IT and business teams. Reduce the risks and costs linked to managing your data lake by implementing strong data governance practices, which include thorough end-to-end data lineage for business users. Enhance cost-effectiveness by ensuring your data lakes, data warehouses, or big data projects are fed with clean, dependable, and timely data, while also streamlining applications and retiring outdated databases. Take advantage of automatic schema propagation to speed up job creation, incorporate type-ahead search capabilities, and ensure backward compatibility, all within a design that supports execution across diverse platforms. Create data integration workflows and uphold governance and quality standards through an easy-to-use design that tracks and suggests usage trends, thereby improving user experience. Additionally, increase visibility and information governance by providing complete and authoritative insights into your data, supported by proof of lineage and quality, which allows stakeholders to make well-informed decisions based on precise information. By implementing these strategies, organizations can cultivate a more adaptable and data-centric culture, ultimately driving innovation and growth. This approach not only empowers teams but also aligns business objectives with data-driven decisions.

What is Hyper-Q?

Adaptive Data Virtualization™ technology allows organizations to run their existing applications on modern cloud data warehouses with minimal changes or configuration. By utilizing Datometry Hyper-Q™, companies can quickly adopt new cloud databases, effectively control ongoing operational expenses, and improve their analytical capabilities, thereby hastening their digital transformation initiatives. This virtualization software from Datometry enables any legacy application to operate on any cloud database, promoting seamless interoperability between applications and various databases. As a result, businesses can choose their desired cloud database without the risk of dismantling, rewriting, or replacing their current applications. Moreover, it guarantees runtime compatibility for applications by emulating and transforming the functionalities of traditional data warehouses. This innovative solution can be easily implemented across major cloud platforms such as Azure, AWS, and GCP. Furthermore, applications can utilize existing JDBC, ODBC, and native connectors without needing modifications, ensuring a seamless transition to cloud environments. It also facilitates connections with prominent cloud data warehouses, including Azure Synapse Analytics, AWS Redshift, and Google BigQuery, which enhances opportunities for data integration and comprehensive analysis. With these capabilities, organizations are better positioned to leverage cloud technologies and drive business innovation.