Visual Analytics Purpose-Built for Direct Access to Hadoop Data

whitePaper | December 1, 2022

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whitePaper | December 9, 2022

In Data Governance Methodology, we described why a modern active data governance methodology is superior to a traditional top-down methodology and how active data governance is supported by continuous improvement. We also discussed how a data governance process based on continuous improvement is a key component of a DataOps process.

whitePaper | November 25, 2022

In our contemporary environment, data and inherent data strategies constitute vital sources in pursuing and developing customer-centric business models while supporting collaboration between different organizations in creating customer value.

whitePaper | February 7, 2020

Multiple studies have proven that, while the business demand for databases grows, operational teams are constrained by traditional, reactive processes. Combined with budgetary pressures, this causes them to fall short in meeting the demand in a timely fashion. In addition, as companies adopt cloud paradigms, operational teams must manage across on-premises and cloud environments with the same resources. To be effective, companies need to shift from a reactive posture to one of standardization and proactive analysis and planning by leveraging intuitive tooling to automate manually intensive and non-value adding activities and to deliver real-time insights.

whitePaper | June 23, 2021

Analytical data infrastructure (ADI) platforms underpin key analytics models via processes like data integration, preparation, management, and storage. But with complex cloud architectures, as-a-service offerings, and innovative new analytics and process developments, how can the discerning expert choose the right ADI offerings for their business?

whitePaper | December 13, 2022

Modern Data Analytics Platforms (DAP) have gone through rapid architectural pattern changes over the past few years, independent of the use cases, to provide maximum benefits to the consumers.