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Hybrid Vs. Multi-Cloud: 5 Key Comparisons in Kafka Architectures

Smart Data Collective

A hybrid cloud system is a cloud deployment model combining different cloud types, using both an on-premise hardware solution and a public cloud. Amazon’s AWS Glue is one such tool that allows you to consume data from Apache Kafka and Amazon-managed streaming for Apache Kafka (MSK).

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Big Data – Das Versprechen wurde eingelöst

Data Science Blog

Google Trends – Big Data (blue), Data Science (red), Business Intelligence (yellow) und Process Mining (green). Quelle: [link] Small Data wurde zum Fokus für die deutsche Industrie, denn “Big Data is messy!” Alle zuvor genannten Hypes sind selbst Erben des Hypes um Big Data.

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Are Data Warehouses Still Relevant?

Dataversity

Over the past few years, enterprise data architectures have evolved significantly to accommodate the changing data requirements of modern businesses. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant?

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The Top AI Slides from ODSC West 2024

ODSC - Open Data Science

Dimensional Data Modeling in the Modern Era by Dustin Dorsey Slides Dustin Dorsey’s AI slides explored the evolution of dimensional data modeling, a staple in data warehousing and business intelligence.

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How OLAP and AI can enable better business

IBM Journey to AI blog

Security and compliance : Ensuring data security and compliance with regulatory requirements in the cloud environment can be complex. Skills and expertise : Transitioning to cloud-based OLAP may require specialized skills and expertise in cloud computing and OLAP technologies.

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Mainframe Optimization: 5 Best Practices to Implement Now

Precisely

Many organizations adopt a long-term approach, leveraging the relative strengths of both mainframe and cloud systems. This integrated strategy keeps a wide range of IT options open, blending the reliability of mainframes with the innovation of cloud computing. Let’s examine each of these patterns in greater detail.

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Discover the Snowflake Architecture With All its Pros and Cons- NIX United

Mlearning.ai

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. Data warehousing is a vital constituent of any business intelligence operation.