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Progress for big data in Kubernetes

O'Reilly Media - Data

The problem is that data lasts a long time and takes a long time to move. The life cycle of data is very different than the life cycle of applications. Upgrading an application is a common occurrence, but data has to live across multiple such upgrades. Previous solutions. Recent advances in Kubernetes.

Big Data 213
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It's time to establish big data standards

O'Reilly Media - Data

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. Storage engine interfaces. Storage engine interfaces.

Big Data 181
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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

The workflow includes the following steps: The process begins when a user sends a message through Google Chat, either in a direct message or in a chat space where the application is installed. After it’s authenticated, the request is forwarded to another Lambda function that contains our core application logic.

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The top 15 big data and data analytics certifications

CIO

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 190
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Dassana pulls in $5M seed to transform log storage and analysis

TechCrunch

He said that everywhere he went, he used logging software and it almost invariably resulted in a big bill, something he set out to change when he launched Dassana. Logging involves a lot of data related to application performance, operations and security. If you try to cut costs around logging, it generally.

Storage 207
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Astera Labs, a fabless chip startup, nabs $50M at a $950M valuation to remove bottlenecks in high-bandwidth cloud applications

TechCrunch

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Machine learning and other artificial intelligence applications add even more complexity.

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Reliable and efficient data storage infrastructure is key to overcoming the challenges of the Yottabyte Age

CIO

Equally, if not more important, is the need for enhanced data storage and management to handle new applications. These applications require faster parallel processing of data in diverse formats. When it comes to the causes of massive amounts of data, big data applications are a main factor.

Storage 148