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How OLAP and AI can enable better business

IBM Big Data Hub

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

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Closing the breach window, from data to action

IBM Big Data Hub

The average cost of a data breach set a new record in 2023 of USD 4.45 Legacy systems and architectures led to unsustainable costs of data ingestion, analysis, and storage, as well as performance issues when searching and analyzing threats across massive datasets.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

Benefits of BI BI helps business decision-makers get the information they need to make informed decisions. The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs.

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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

This approach comes with a heavy computational cost in terms of processing and distributing the data across multiple tables while ensuring the system is ACID-compliant at all times, which can negatively impact performance and scalability. This is inefficient from both a cost and performance perspective.

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Data Modeling 301 for the cloud: data lake and NoSQL data modeling and design

erwin

Static over-provisioning or dynamic scaling will run up monthly cloud costs very quickly on a bad design. So, you really should get familiar with your cloud provider’s sizing vs. cost calculator. If I can cut down on the CPU and memory needs, I can cut this cost significantly. Machine Learning. Business Focus.

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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

Doesn’t this seem like a worthy goal for machine learning—to make the machines learn to work more effectively? pointed out in “ The Case for Learned Index Structures ” (see video ) the internal smarts (B-trees, etc.) of relational databases represent early forms of machine learning.

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Data Modeling 201 for the cloud: designing databases for data warehouses

erwin

Static over-provisioning or dynamic scaling will run up monthly cloud costs very quickly on a bad design. So, you really should get familiar with your cloud providers sizing vs. cost calculator. If I can cut down on the CPU and memory needs, I can cut this cost significantly. Machine Learning. Business Focus.