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Cloud Analytics Powered by FinOps

Cloudera

Cloud transformation is ranked as the cornerstone of innovation and digitalization. The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. However, the reality is that the “move to cloud” is a turbulent flight for many of them. Why FinOps?

Cloud 74
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5 Layers of Data Lakehouse Architecture Explained

Monte Carlo

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data.

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Data Lakehouse Architecture Explained: 5 Layers

Monte Carlo

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data.

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What’s Next for Data Engineering in 2023? 10 Predictions 

Monte Carlo

Prediction #1: Cloud Manages 75% Of All Data Workloads by 2024 (Tomasz) Image courtesy of Tomasz Tunguz. This was Tomasz’s first prediction , and based on an analyst report earlier this year showing the growth of cloud versus on-premises RDBMS revenue. Snowflake went from a hundred million in revenue to about 1.2

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How DataOS Nails Gartner’s Magic Quadrant for Data Integration

The Modern Data Company

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

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How DataOS Nails Gartner’s Magic Quadrant for Data Integration

The Modern Data Company

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.