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What IT executives are saying about vendor consolidation

CIO Business Intelligence

When we asked what’s driving that consolidation, finance-driven reasons were close to – but not at – the top. As buyers consolidate, pressure on vendors increases Clearly there is pressure to consolidate – both internally and externally driven.

IT 109
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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Cloud technology and innovation drives data-driven decision making culture in any organization. Despite cost-cutting being the main reason why most companies shift to the cloud, that is not the only benefit they walk away with. Cloud washing is storing data on the cloud for use over the internet.

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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour. Where does it stand today?

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How AWS Payments migrated from Redash to Amazon Redshift Query Editor v2

AWS Big Data

The Machine Learning, Data and Analytics (MLDA) team at AWS Payments enables data-driven decision-making across payments processes and partners by delivering data, business insights, and causal and ML inferences through a scalable set of data, insights, and ML inference services.

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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

Businesses are constantly evolving, and data leaders are challenged every day to meet new requirements. Customers are using AWS and Snowflake to develop purpose-built data architectures that provide the performance required for modern analytics and artificial intelligence (AI) use cases.

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How Can Smart Data Discovery Tools Generate Business Value?

datapine

1) What Is Data Discovery? 2) Why is Data Discovery So Popular? 3) Data Discovery Tools Attributes. 5) How To Perform Smart Data Discovery. 6) Data Discovery For The Modern Age. We live in a time where data is all around us. Being a data-driven organization starts with understanding your data.