Cloudera

OCTOBER 11, 2022

Let this sink in a while – AI at scale isn’t magic, it’s data. What these data leaders are saying is that if you can’t do data at scale , you can’t possibly do AI at scale. Which means no digital transformation. Data and AI projects cost more and take longer. Data needs to be prepared and analyzed.

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CIO Business Intelligence

NOVEMBER 8, 2022

CIO.com: Can you give us a snapshot of your role and responsibilities as CPTO at Ovo? In this role, I lead Ovo’s technology, product and data teams, who provide intelligent energy technology solutions as we work towards decarbonising UK homes, an integral part of ‘plan zero’: Ovo’s journey to net zero. An example is in the data space.

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AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

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Sisense

APRIL 7, 2020

In addition, this data lives in so many places that it can be hard to derive meaningful insights from it all. This is where analytics and data platforms come in: these systems, especially cloud-native Sisense, pull in data from wherever it’s stored ( Google BigQuery data warehouse , Snowflake , Redshift , etc.).

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Big Data Data Warehouse Cost-Benefit Snapshot 86

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Digital Transformation. Data Intelligence and Data Governance.

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