Remove Data Engineering Remove Data Silos Remove DataOps
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Supercharge your data strategy: Integrate and innovate today leveraging data integration

IBM Journey to AI blog

The data universe is expected to grow exponentially with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. This situation will exacerbate data silos, increase pressure to manage cloud costs efficiently and complicate governance of AI and data workloads.

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Data Catalog: Part of the Solution – or Part of the Problem?

Alation

So feckless buyers may resort to buying separate data catalogs for use cases like…. Data governance. For example, the researching buyer may seek a catalog that scores 6 for governance, 10 for self-service, 4 for cloud data migration, and 2 for DataOps (let’s call this a {6, 10, 4, 2} profile). Self-service.

DataOps 52
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Enterprise Analytics: Key Challenges & Strategies

Alation

One may define enterprise data analytics as the ability to find, understand, analyze, and trust data to drive strategy and decision-making. Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Data engineering. DataOps. … Business strategy.