Remove 2025 Remove Data Architecture Remove Data Strategy Remove Strategy
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6 strategic imperatives for your next data strategy

CIO Business Intelligence

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

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The power of remote engine execution for ETL/ELT data pipelines

IBM Big Data Hub

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

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The Future Is Hybrid Data, Embrace It

Cloudera

Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. In fact, the total amount of data is expected to nearly triple by 2025. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020.

IT 110
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The Right Recipe for a Real-time Data Stack

CIO Business Intelligence

Similarly, many organizations have built data architectures to remain competitive, but have instead ended up with a complex web of disparate systems which may be slowing them down. Strategies intended to solve specific problems have in many cases created technology stacks resembling the Tower of Babel. Aligning data.

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The Future Is Hybrid Data, Embrace It

CIO Business Intelligence

Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. In fact, the total amount of data is expected to nearly triple by 2025. The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge.

IT 72
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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Such is the significance of big data in today’s world. Data Management. Unscalable data architecture.