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DATA

Data wrangling — what it is and why it is important

As data continues to grow in both size and complexity, it is becoming increasingly difficult for organizations to extract valuable insights from it. This is where data wrangling comes in. Data wrangling, which is also known as data munging or data cleaning, is the process of gathering, cleaning, transforming, and preparing unprocessed data into a format that is more easily understood and analyzed. Data wrangling enables organizations to leverage the full potential of their data. In this article, we delve into data wrangling, exploring what it is, why it is important and the key tasks involved in the process.
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UX

Guide to a project kickoff meeting — UX Design

The kickoff meeting is an essential stage of any software development process involving UI and UX design. After the ideation workshops, during which the software design and development team work hand in hand to understand and act upon the business requirements of the product, the kickoff meeting is the chance to agree on the strategy and tactics for a project’s success. So, what is the nature of this meeting, what goals should it meet and how should it be conducted to ensure a clear and efficient path for the work that has to be done?
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SOFTWARE DEVELOPMENT

25 backend tools to facilitate web development

We all know that appearance matters. However, when it comes to web applications, it is definitely not enough. Your end users might come for the beautiful layout and intuitive interface, but if your application is slow, full of errors, or crashes often, you won’t be able to retain clients. That is why in software development, it is important to pay equal attention to both the backend and frontend of your application. In software, the backend is everything that makes the app work behind the scenes. It connects the frontend, that is, the user-facing part of the application, with the database, where the data is stored.
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NETWORKS
DATA

AI & machine learning for networks: example use cases

In today's digital age, the use of machine learning (ML) in networks has become increasingly prevalent. Modern businesses rely heavily on networks to maintain operations. However, it could be more and more challenging to manage network infrastructure effectively. One solution is to use machine learning (ML) algorithms to analyze network data and provide insights that can lead to more efficient network management. In this article, we will explore several ML use cases in network management including time series forecasting, capacity planning, intelligent alerting, and the use of external data to enable faster recovery of network components.
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SOFTWARE DEVELOPMENT

Microservices vs. monolith: choosing the best for your project

There is a widespread but misguided belief that the quality of the code defines whether or not a mobile or web application can be successful. The truth is, your app can have the most brilliant code in it and still be too slow or outdated for the customers. It is the architecture, the way your app is designed and built, that influences the user experience most of all. Architecture can quite literally make or break your application. Historically, applications were designed according to monolithic architecture principles.
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NETWORKS
OPERATIONS

Zero-Touch Provisioning: ZTP guide and example usages

There are countless situations in which a network, be it a service provider, data center, or evenenterprise infrastructure, grows so large that the ability to onboard new devices to that network becomes a huge burden for the network operations team. As time passes, various solutions have been implemented by network and DevOps engineers to mitigate this issue based on open-source and vendor-specific solutions: in-house developed Python/Bash scripts, Ansible playbooks, vendor-specific network orchestrators, etc.
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NETWORKS
OPERATIONS

Policy as code — what is it? Definition and tools

By the time you’ve worked in the IT industry for a couple of years, you are usually familiar with many practices as code, for example, infrastructure as code, configuration as code, and security as code. You may have even met with the expression policy as code. What does it mean? Why should we follow an ‘as code’ approach? You’ll find all the answers in this article. The main idea behind policy as code is using specific language to manage and automate policies. What language can be used for that target?
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SOFTWARE DEVELOPMENT

9 software development best practices that benefit your business

Software development has become an increasingly important aspect of modern business, with companies relying heavily on technology to stay competitive. These software development best practices can help you ensure that your software is developed efficiently, effectively, and to a high standard of quality. Establishing best practices can help developers avoid common pitfalls and deliver software that meets the needs of users and stakeholders. In this article, we will explore some of the most important software development best practices, including project management methodologies, coding standards, testing strategies, and more.
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DATA

Data Science vs. Machine Learning: understanding the difference

We live in the so-called Zettabyte Era, which started in the middle of the 2010s when the amount of digital data and network traffic exceeded one zettabyte, or a trillion gigabytes. That might give you an idea just how much data is created and consumed nowadays. Not to mention that this amount grows at an increasing rate, and is projected to reach 181 zettabytes by 2025. Even though only a fraction of that data is stored for longer periods of time, the resulting data volume is still pretty intimidating.
Thumbnail of an article about Types of Artificial Intelligence — a general overview of a formidable technology
DATA

Types of Artificial Intelligence — a general overview of a formidable technology

We live in a world that even a couple of decades ago only science fiction writers could imagine. The most amazing innovations quickly become commonplace and normal. However, if there is still one that doesn’t fail to impress, that would be artificial intelligence, as proven by the recent burst of interest in ChatGPT, a new language model application with advanced AI features that can be used to build chatbots. We encounter AI everyday, not only in chatbots, but also in voice-activated personal assistants, self-driving cars, robot vacuum cleaners, image generation software, and many, many other instances.
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Thumbnail of an article about Open Programmable Infrastructure - A Common Standard for DPU/IPU-Like Devices

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on Nov 20, 2024
Thumbnail of an article about Application development with local Kubernetes

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on Oct 30, 2024
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Testing APIs with PyTest: how to effectively use mocks in Python

on Oct 22, 2024
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Practical implementation of DNSSEC

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