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Blockchain Apps on Bare Metal Servers (Part 1): Big Data and Security

Dataversity

Blockchain applications are becoming more and more popular both in the public and private sectors. However, most people still put an equal sign between blockchain and bitcoin. But are cryptocurrencies the only use case for blockchain? Click to learn more about author Andreea Jakab.

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Blockchain Apps on Bare Metal Servers (Part 2): Stability, Resiliency, and High Availability

Dataversity

In part one of this series, we discussed blockchain security. To achieve the full potential of your application and of the blockchain technology, and to benefit from the digital transformation it can bring to enterprises, you should concentrate on and invest in the proper infrastructure to support it. Let’s go into […].

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The data centre liquid cooling market outlook

DCNN Magazine

Liquid cooling systems utilise water or specialised cooling fluids to absorb and dissipate heat generated by servers and IT equipment. – Higher cooling capacity: It supports high-density server configurations, enabling better utilisation of physical space.

Energy 167
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Real-Time Analytics and Monitoring Dashboards with Apache Kafka and Rockset

Confluent

Some Kafka and Rockset users have also built real-time e-commerce applications , for example, using Rockset’s Java, Node.js ® , Go, and Python SDKs where an application can use SQL to query raw data coming from Kafka through an API (but that is a topic for another blog). In addition, it is often used for smaller datasets (e.g.,

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My Take on Web3 and THAT Letter

Software Architecture Zen

Some of the less inflammatory comments include: Their professional work has nothing to do with cryptocurrencies, blockchain or finance so so Im not seeing why theyre a signatory. I also agree with the statement that a blockchain based Web3 is very much a solution in search of a problem .

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Microservices, Apache Kafka, and Domain-Driven Design

Confluent

Domain-driven design is used to define the different bounded contexts which represent the various business processes that the application needs to perform. This may apply not just to business applications, but also to operations within the company’s IT team, which owns the Kafka cluster for internal self-service offerings.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Embedding model binaries into applications: The output of model training is an analytic model. No matter what format the output of your machine learning framework is, it can be embedded into applications to use for predictions via the framework’s API (e.g., Any option can pair well with Apache Kafka.