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NVMe vs. SATA: What’s the difference?

IBM Big Data Hub

Today, everyone from gamers and video editors to software start-up executives launching apps in the cloud are demanding faster solutions for data storage. The reason is simple: Better storage technologies mean faster, higher-performing compute environments. What is NVMe?

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Big Data Ingestion: Parameters, Challenges, and Best Practices

datapine

This pace suggests that 90% of the data in the world is generated over the past two years alone. A large part of this enormous growth of data is fuelled by digital economies that rely on a multitude of processes, technologies, systems, etc. Data has grown not only in terms of size but also variety. Self-Service.

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5 Key Takeaways from #Current2023

Cloudera

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. Architecture decisions have long-term effects and an important consideration when choosing a stream processing engine is whether the technology will stagnate or continue to evolve with contributions from the open source community.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever. Unstructured data lacks a specific format or structure. Semi-structured.