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Data Providers, Java to JavaScript Integration, and The Future of Vaadin Flow

Vaadin Dev Day is an event that provides in-depth technical topics and insights to the Vaadin community. In the latest edition of the event, we learned about data providers for high-performance data access, advanced JavaScript and TypeScript integrations, and the future of Vaadin Flow. Here's a recap of the event.

High-Performance Data Access With Vaadin

In this talk, Simon Martinelli explains how to efficiently connect Vaadin Flow applications to databases using JPA and the DataProvider implementations that are available in the framework.

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How Many Millions of Dollars Do Enterprises Waste Due to Garbage Collection?

We truly believe enterprises are wasting millions of dollars in garbage collection. We equally believe enterprises are wasting these many millions of dollars even without knowing they are wasting. The intent of this post is to bring visibility to how several millions of dollars are wasted due to garbage collection.

What is Garbage?

All applications have a finite amount of memory. When a new request comes, the application creates objects to service the request. Once a request is processed, all the objects created to service that request are no longer needed. In other terms those objects become garbage. They have to be evicted/removed from the memory so that room is created to service new incoming requests.

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How to Write Self-Documented Code With Low Cognitive Complexity

In this article, I will share practical and straightforward advice on how to stop (holy wars) arguing about code quality and find measurable arguments about the necessity of refactoring, simplification, adding comments or documentation for the code. While I’m going to refer to exact commercial tools in the second half of the article, I should say that I’m not affiliated anyhow with the tool's authors. The tools are available via free community licenses as well as commercial licenses.

The goal of this article is not the tool itself but to tell you about useful metrics that will allow your team to write self-documented code, produce better software and improve the programmer's life.

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Utilizing BigQuery as A Data Warehouse in A Distributed Application

Introduction

Data plays an integral part in any organization. With the data-driven nature of modern organizations, almost all businesses and their technological decisions are based on the available data. Let's assume that we have an application distributed across multiple servers in different regions of a cloud service provider, and we need to store that application data in a centralized location. The ideal solution for that would be to use some type of database. However, traditional databases are ill-suited to handle extremely large datasets and lack the features that would help data analysis. In that kind of situation, we will need a proper data warehousing solution like Google BigQuery.

What is Google BigQuery?

BigQuery is an enterprise-grade, fully managed data warehousing solution that is a part of the Google Cloud Platform. It is designed to store and query massive data sets while enabling users to manage data via the BigQuery data manipulation language (DML) based on the standard SQL dialect.

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Trello Connector in Mule 4

Trello is a collaboration tool that organizes your projects into boards. In one glance, Trello tells you what's being worked on, who's working on what, and where something is in a process. Imagine a whiteboard filled with lists of sticky notes, with each note as a task for you and your team.

Associated Use Cases

Automate common business operations by integrating Trello with other business applications such as your customer service system, email, and calendar. Possibilities include:

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Understanding Subgraph in Nebula Graph 2.0

Introduction

In An Introduction to Nebula Graph 2.0 Query Engine, I introduced how the query engine differs between V2.0 and V1.0 of Nebula Graph.

As shown in the preceding figure, you can see that when a query statement is sent from the client, how the query engine parses the statement, generates an AST, validates the AST, and then generates an execution plan. In this article, I will introduce more about the query engine through the new subgraph feature in Nebula Graph 2.0 and focus on the execution plan generation process, to help you understand the source code better.

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Unexpected AWS Charges You Should Be Monitoring Closely

Cloud adoption has many benefits, the most notable of which being the wide range of options and price models available. Your cloud charge, on the other hand, can get confusing. If you don’t keep track of it and review it on a daily basis, the expenses can easily escalate out of control. Fast scalability, pay-as-you-go pricing, and a vast array of options and updates can make things very complicated. 

Every company should actively monitor its cloud costs, which can drive up the overall cloud bill. However, if you handle them properly, this can be avoided. Here are some AWS charges you should keep an eye on.

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3 Business Benefits of Custom ERP and Custom Software Development

Businesses have many needs, not the least of which is technology. Whether the organization is trying to satisfy internal business user requirements, senior executive requirements, internal IT requirements, customer technology requirements, or requirements related to collaboration and communication among suppliers, partners, or stakeholders, there are many opportunities to optimize performance and productivity and there are many out-of-the-box software products from which to choose. 

But, there are times when the business either wishes to develop a software product to release for customer use, and times when best-of-breed or out-of-the-box solutions do not meet the requirements of the business to manage workflow, provide business users with reporting tools, collaborative tools, or industry-specific functionality and features. 

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Beginner in python programming

A grayscale digital image is a two-dimensional raster image in which the picture elements, or pixels, store a single value representing a shade of gray that varies from black to white. In a discrete grayscale image, the shades of gray are represented by integer values in the range [0 to 255], where 0 is black and 255 is white. We can define the Grayscale Image ADT for storing and manipulating discrete grayscale digital images.
Given the description of the operations, provide a complete implementation of the ADT using a 2-D array.

  1. GrayscaleImage( nrows, ncols ): Creates a new instance that consists of nrows and ncols of pixels each set to an initial value of 0.
  2. width (): Returns the width of the image.
  3. height (): Returns the height of the image.
  4. clear (value ): Clears the entire image by setting each pixel to the given
    intensity value. The intensity value will be clamped to 0 or 255 if it is less
    than 0 or greater than 255, respectively.
  5. getitem (row, col): Returns the intensity level of the given pixel. The
    pixel coordinates must be within the valid range.
  6. setitem (row, col, value): Sets the intensity level of the given pixel to the given value. The pixel coordinates must be within the valid range. The intensity value is clamped to 0 or 255 if it is outside the valid range