The manual work of the accountant went into oblivion. Today everyone makes machines, but, of course, controlled by a specialist. Although in our last project we have carefully worked on the topic of artificial intelligence and some accounting operations can already occur with little or no human intervention. Let's look at what systems we attracted, and what exactly was done to save time on daily routine operations.
Are Your File Transfer Integrations GDPR Compliant?
The onslaught of data security breaches today is relentless, with thousands of major breaches each year and 50 percent more breaches in 2019 vs. 2018, according to a report by Risk Based Security. The costs for each breach have burgeoned as well, with the average cost of a data breach at about $3.92 million.
Securing data from breaches not only spares bottom line and publicity, it's now also a basic legal requirement to comply with rapidly growing data privacy laws.
While organizations have long had to comply with industry-specific standards, such as HIPAA in healthcare and the Payment Card Industry Data Security Standard (PCI DSS), you now also face new consumer privacy regulations. Including:
JSONPath in PostgreSQL: committing patches and selecting apartments
This article was written in Russian in 2019 after the PostgreSQL 12 feature freeze, and it is still up-to-date. Unfortunately other patches of the SQL/JSON will not get even into version 13.
Many thanks to Elena Indrupskaya for the translation.
JSONPath
All that relates to JSON(B) is relevant and of high demand in the world and in Russia, and it is one of the key development areas in Postgres Professional. The jsonb type, as well as functions and operators to manipulate JSON/JSONB, appeared as early as in PostgreSQL 9.4. They were developed by the team lead by Oleg Bartunov.
The SQL/2016 standard provides for JSON usage: the standard mentions JSONPath — a set of functionalities to address data inside JSON; JSONTABLE — capabilities for conversion of JSON to usual database tables; a large family of functions and operators. Although JSON has long been supported in Postgres, in 2017 Oleg Bartunov with his colleagues started their work to support the standard. Of all described in the standard, only one patch, but a critical one, got into version 12; it is JSONPath, which we will, therefore, describe here.
Reach Out Top Hadoop Consulting Companies To Leverage Big Data In 2020
Hadoop is divided into different modules, each of which delivers a distinct task crucial for a computer system and is uniquely designed for big data analytics. Apache Software Foundation developed this incredible platform. It is extensively utilized by worldwide developers to build big data Hadoop solutions amazingly and easily.
Big data offers several perks, some of them are; examining root causes of failures, recognizing the potential of data-driven marketing, improving and enhancing customer engagement, and much more. By offering multiple solutions in a single stream it helps in lowering the cost of the organization.
In various industries such as Retail, Manufacturing, Financial insurance, Education, Transportation, Agriculture, Healthcare, Energy, etc big data is utilized and that’s why it’s demand is expanding day by day. The Global Hadoop Market is envisioned to grow to $84.6 billion by 2021, with an expected CAGR of 63.4%.
Why I keep track of spendings in a personal app made with Git+JS
Hi, folks, let me share my experience of creating an application to keep track of my spendings. Specifically, let me do it by answering the following questions:
- Why keep track of spendings in an application?
- Why did I create the application as a personal project?
- Why does the project use Git+JS?
1. Why keep track of spendings in an application?
I, like many people out there, wanted to become rich and successful. To become rich, one is often advised to run a personal budget, that's what I started to do several years ago. I'd like to point out that running my personal budget hasn't made me rich and successful, and I increased income simply by moving to Moscow.
Is Python The Answer To High-End Mobile Apps?
Before the development of any software or a mobile app, the first thing that comes in mind is- which programming language is the best for this app. Yes! It is really important to choose the best programming language for particular mobile app development.
So, among various programming languages, let’s throw light on the significance of Python in Mobile app development or it could also be said that why Python is the best language for mobile app development?
Before that, let’s have a look at the stat where according to statista.com, Python remains the most popular programming language in 2020, according to GitHub and Google Trends, surpassing longstanding Java and JavaScript in popularity.
Python was also the biggest gainer in the Tiobe index of the popularity of programming languages in the year 2018, rising by 3.62% points from January 2018 to January 2019, with a rating of approx. 8.2% for this month.
Best .Net Development Tools in 2020
Here are some of the top useful tools being used by many offshore .net development teams, .net developers, individual .net programmers, etc.
Why we fell in love with Vue.js?
Implementation a web UI is faced with more and more complex tasks that require the use of more and more complex tools. The trend of leaving the MVC application architecture, as well as the desire of developers to use separate libraries for each layer of tasks, led to changes, against which the Vue.JS framework appeared and became popular. Let's try to understand why Vue.JS appeared and what problems it carefully solves.
How to test Ansible and don't go nuts
It is the translation of my speech at DevOps-40 2020-03-18:
After the second commit, each code becomes legacy. It happens because the original ideas do not meet actual requirements for the system. It is not bad or good thing. It is the nature of infrastructure & agreements between people. Refactoring should align requirements & actual state. Let me call it Infrastructure as Code refactoring.
Could Quantum Computing Help Reverse Climate Change?
The unique powers of quantum computation may give humanity an important weapon — or several weapons — against climate change, according to one quantum computer pioneer.One of the possible solutions for the excess carbon in the atmosphere and to reach global climate goals is to suck it out. It sounds pretty easy, but, in fact, the technology to do so cheaply and easily isn’t quite here yet, according to Jeremy O’Brien Chief Executive Officer, PsiQuantum, a quantum computing startup.
Currently, there is no way to simulate large complex molecules, like carbon dioxide. Current classical computers cannot simulate these types of molecules because the problem grows exponentially with the size or complexity of the simulated molecules, according to O’Brien, who wrote an article outlining the issue at the World Economic Forum’s annual meeting held recently.
“Crudely speaking, if simulating a molecule with 10 atoms takes a minute, a molecule with 11 takes two minutes, one with 12 atoms takes four minutes and so on,” he writes. “This exponential scaling quickly renders a traditional computer useless: simulating a molecule with just 70 atoms would take longer than the lifetime of the universe (13 billion years).”
Porting packages to buildroot using the Zabbix example
The basics of porting
Originally, Buildroot offers a limited number of packages. It makes sense — there is everything you need, but any other packages can be added.
To add a package, create 2 description files, an optional checksum file, and add a link to the package in the general package list. There are hooks at different stages of the build. At the same time, Buildroot can recognize the needed type of packages:
Traps and pitfalls in modernization of enterprise application using «supersonic subatomic java»
This is a post about first steps and first pitfalls in modernization of old enterprise application using "supersonic subatomic java" quarkus as it is positioned by RedHat.
Initial setup
In the end of 2019 I was invited to work in a project in our company, where an old monolithic application should be split into micro-services. Basic reasoning behind this decision was, that framework which is used in application is near to it's end-of-life. The application should be rewritten in any case. If it should be rewritten in any case, why not to split it into micro-services?
Since last 10 years, I was working mostly with java and we had in the project specialists with java knowledge, we have decided to give java-based frameworks a try for back-end functionality.
OK, let's use spring-cloud for that purpose, was our first thought. But then, we have had a look onto quarkus, which has been released in the end of 2019. We have decided to give it a try, keeping in mind building of native applications using GraalVM.
Native applications from our perspective could give us following benefits:
- shorten start time of container
- reduce resource consumption of container and application
We were aware about possible drawbacks of this solution:
- no experience in our team with quarkus framework
- significantly less amount of available feedback from community, since this is very young framework
What is Baked in the Baker's Dozen?
About embedded again: searching for bugs in the Embox project
Embox is a cross-platform, multi-tasking real-time operating system for embedded systems. It is designed to work with limited computing resources and allows you to run Linux-based applications on microcontrollers without using Linux itself. Certainly, the same as other applications, Embox couldn't escape from bugs. This article is devoted to the analysis of errors found in the code of the Embox project.
Working with light: Starting your career at ITMO University
Simple and free video conferencing
Custom Shopify Automation for Your Business
E-commerce today has become so frequent that it has become almost a standard chain of stores, where most people make purchases. But even online stores are trying to save money by becoming drop shippers and more working on additional implementations, rather than on the maintenance and payment of huge storage spaces.
Safe-enough linux server, a quick security tuning
The case: You fire up a professionally prepared Linux image at a cloud platform provider (Amazon, DO, Google, Azure, etc.) and it will run a kind of production level service moderately exposed to hacking attacks (non-targeted, non-advanced threats).
What would be the standard quick security related tuning to configure before you install the meat?
release: 2005, Ubuntu + CentOS (supposed to work with Amazon Linux, Fedora, Debian, RHEL as well)
Windows Native Applications and Acronis Active Restore
Hubs
Authors' contribution
alizar 92957.8marks 24166.6ru_vds 21226.5alexzfort 14179.0XaocCPS 10986.2pronskiy 10649.4m1rko 10382.0ptsecurity 9944.4Andrey2008 9697.2Jeditobe 9387.6