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The Data Lakehouse: Blending Data Warehouses and Data Lakes

Data Virtualization

Reading Time: 3 minutes First we had data warehouses, then came data lakes, and now the new kid on the block is the data lakehouse. But what is a data lakehouse and why should we develop one? In a way, the name describes what.

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The Key Components of a Successful Data Lake Strategy

Data Virtualization

Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3.

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The Key Components of a Successful Data Lake Strategy

Data Virtualization

Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3.

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Is Data Virtualization the Secret Behind Operationalizing Data Lakes?

Data Virtualization

In attempts to overcome their big data challenges, organizations are exploring data lakes as repositories where huge volumes and varieties of. The post Is Data Virtualization the Secret Behind Operationalizing Data Lakes?

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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

Data quality is no longer a back-office concern. In this article, I am drawing from firsthand experience working with CIOs, CDOs, CTOs and transformation leaders across industries. I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. Exploratory analytics, raw and diverse data types.

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Reporting: Is it the Most Boring, Important Thing in Analytics?

Juice Analytics

Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative. It is everywhere, holding the data universe together, yet it manages to elude our attention and affection.

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Modern Data Architecture: Data Warehousing, Data Lakes, and Data Mesh Explained

Data Virtualization

For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.