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Top 10 June ’21 Big Data Articles to Read Now

Introduction

Big Data is now adapted by a lot of businesses. Its popularity and use are expanding globally. How awesome would it be to find top trending Big Data articles in one place so that you can always stay up to date with the latest trends in technology? We dug into Google analytics to find the top 10 most popular Big Data articles in June. Let's get started!

10. Kafka Administration and Monitoring UI Tools

Kafka is used for streaming data and much more! This article covers Kafka basics and Kafta Administration, Kafka Manager, and Monitoring tools. 

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Scalable AI and API Architectures in Python

Architectural Tenets

The architecture of Zato reflects several key foundational concepts underlying the design of the platform. Each component of the architecture takes each of the concepts into account.

The tenets are what drives the design of Zato, this is what directly leads to what its architecture looks like.

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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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How To Switch Tabs In A Browser Using Selenium Python?

Selenium automation offers dexterous ways to perform day-to-day tasks most efficiently. From capturing screenshots to testing PDF files, there’s no limit to what you can do with Selenium automation. Developers and testers are masters of drilling websites and finding loopholes. More often than not, this drill involves switching tabs multiple times a day. To reduce the manual effort that goes into doing so, we recommend using Python Selenium to switch tabs.

In this article, we will help you master multiple ways to switch tabs in Selenium using Python. Let’s get started –

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How Good Is Python for Blockchain Development?

With the growing interest in blockchain, the choice of technologies for creating blockchain solutions is becoming one of the main issues. Python is often ranked among the top tools for creating blockchain-based projects. According to StackOverflow’s 2019 developer survey, this programming language entered the top 5 most popular languages among developers. Moreover, according to the TIOBE rating, Python ranks as the second most popular programming language as of June 2021. So let's see how exactly this technology is attracting engineers around the world and what role it plays in blockchain development.

Blockchain Development Without Complications

Most often, the first thing you hear about Python is that it's pretty simple. It is easy to learn so even novice developers can contribute to the development of open-source projects. To understand how this simplicity benefits blockchain developers, let's go through the process of building blockchains. 

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Top Automation Programming Languages of 2021

Introduction

In today’s highly competitive world, software development and automation play a significant role in creating robust software applications for businesses. Additionally, emerging technologies like artificial intelligence and blockchain have given a competitive edge to enterprises. For gaining maximum benefits out of automation testing, testers require hands-on experience in a minimum of one automation programming language. There are numerous programming languages available today, with new ones continuously emerging. No matter which phase you are in, whether starting with automation testing or being an experienced tester planning to learn a new programming language, deciding which language to choose is very critical.

Which Automation Programming Language Is the Best for Testing?

The following list is prepared after considering metrics like recent trends, language popularity, career prospects, open-source projects, and more. As per TIOBE Index 2021 and IEEE Spectrum Magazine, Java, C, and Python are the top three automation programming languages on the list. Following are some of the most preferred languages on the whole entire list.

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Regular Expressions in Python Using The re Module

What is Regex?

Regex, or a more known terminology, Regular Expressions, is used to create complex patterns for searching substring inside Strings.

We have other methods of finding substring as well, but regex can cope up with way more complicated patterns than just normal searching for a substring.

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Setting Advanced Options of SQL Connection Pools

In this article, we will cover the details of how Zato SQL connection pools can be configured to take advantage of features and options specific to a particular driver or to the SQLAlchemy library.

SQL Connection Pools

First, let’s review the basic Zato Dashboard form that creates a new SQL connection pool.

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Mobile Apps Dataset

Introduction

My main job is related to mobile advertising, and from time to time, I have to work with mobile application datasets.

I decided to make some of the data publicly available for those who want to practice building models or get an idea of some of the data that can be collected from open sources. I believe that open-source datasets are always useful as they allow you to learn and grow. Collecting data is often a difficult and dreary job, and not everyone has the ability to do it.

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Using .NET Core in Jupyter Notebook

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. It can be used as a tool for interactively developing and presenting data science projects. Mostly, it is used with Python and R which are scripting languages. However, it can also be used with compiled languages, such as .NET programming languages, Go, and Julia. For a list of supported programming languages, please refer to the Jupyter kernels page in GitHub.

This article explains steps to set up Jupyter Notebook for .NET Core programming languages on Windows 10.  It is based on the .NET Notebooks Preview 2 that supports C#, F#, and PowerShell. This article also provides few C# examples that demonstrate how to use DataFrame and Charts.

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How to Set Up Selenium With Python for Modern Web Automation

Selenium WebDriver is among one of the most popular tools when it comes to Web UI automation. The Selenium framework can be used with a wide range of programming languages such as Python, Java, C#, and more. As per the Stack Overflow Developer Survey, Python is the third-most loved programming language with 66.7%. It is also the most wanted programming language. So if you’re planning to perform test automation with Selenium and Python, you’re at the right place!

In this detailed Selenium Python tutorial, we would cover a range of topics such as the basics of Selenium WebDriver, Selenium WebDriver with Python, Selenium WebDriver vs. Selenium RC, and more.

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Build an Analytics Dashboard With Django and Arctype

Introduction

As Python's premier web framework, Django provides the foundation upon which many web applications have been built, facilitating rapid development without sacrificing stability.  Amongst other versatile functionalities, Django integrates seamlessly with SQL databases, so today, we'll be using the framework to implement basic site analytics data recording.  Then, we'll use this data to create gorgeous visualizations in an Arctype dashboard, which will keep track of the following:

  • Registrations, logins, and logouts.
  • User activity by day.
  • Breakdown of user activity on a selected day.

To achieve this, we will be utilizing Django's ORM and Arctype (of course!)

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Container Images for AWS Lambda With Python

One of the best things about AWS Lambda is the variety of ways that you can create a serverless function. For example, you can dive right into the console, or use approaches like Chalice or the Serverless Framework, to name a few. For me, the latest way, announced at re:Invent 2020, is the most efficient way of testing your serverless function locally and dealing with large or awkward dependencies in your code. As you’d expect, this works perfectly with AWS SAM. This post will give you a quick start on what you need to do to build a container-based function using containers and Python.

In my case, I was building a function that would read data from Firestore in Google Cloud, run a data transformation and store the result in S3. I used to swear by Chalice, and built my application but found that it couldn’t bundle the GRPC dependency - I would have to build it myself. While the solution to this is just to build the dependency and package it up in the vendor directory of my Chalice application, I used the opportunity to finally try out container support.