Anthony  Dach

Anthony Dach

1630769760

How To Parse Data Using Ruby and Selenium Easily (Beginner's Guide)

Manual testing can be inefficient and error-prone. But, it can be eliminated by automation. Selenium is an open-source automation tool to automate tests. For example, we can use it to test web applications.

In this article, we will be using Selenium (Ruby), and Chrome to parse data. We will use a ruby gem called selenium-webdriver, which provides Ruby bindings for Selenium and ChromeDriver to use Chrome web browser. Selenium has support for C#, Python, JavaScript, and Java. Moreover, supported platforms are Firefox, Internet Explorer, Safari, Opera, Chrome, and Edge.

#ruby #selenium 

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How To Parse Data Using Ruby and Selenium Easily (Beginner's Guide)
Siphiwe  Nair

Siphiwe Nair

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Gerhard  Brink

Gerhard Brink

1620629020

Getting Started With Data Lakes

Frameworks for Efficient Enterprise Analytics

The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.

This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.

Introduction

As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).


This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.

#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management

Gerhard  Brink

Gerhard Brink

1624099140

Big Data Platform and Use Cases: A Quick Guide for Beginners

Introduction to Big Data Platform

Big Data Platform refers to IT solutions that combine severalBig Data Tools and utilities into one packaged answer, and this is then used further for managing as well as analyzing Big Data. The emphasis on why this is needed is taken care of later in the blog, but know how much data is getting created daily. This Big Data if not maintained well, enterprises are bound to lose out on customers. Let’s get started with the basics.

#big data engineering #blogs #big data platform and use cases: a quick guide for beginners #big data platform #cases #beginners

Anthony  Dach

Anthony Dach

1630769760

How To Parse Data Using Ruby and Selenium Easily (Beginner's Guide)

Manual testing can be inefficient and error-prone. But, it can be eliminated by automation. Selenium is an open-source automation tool to automate tests. For example, we can use it to test web applications.

In this article, we will be using Selenium (Ruby), and Chrome to parse data. We will use a ruby gem called selenium-webdriver, which provides Ruby bindings for Selenium and ChromeDriver to use Chrome web browser. Selenium has support for C#, Python, JavaScript, and Java. Moreover, supported platforms are Firefox, Internet Explorer, Safari, Opera, Chrome, and Edge.

#ruby #selenium 

Ian  Robinson

Ian Robinson

1624433340

Big Data Platform and Use Cases: A Quick Guide for Beginners

Introduction to Big Data Platform

Big Data Platform refers to IT solutions that combine severalBig Data Tools and utilities into one packaged answer, and this is then used further for managing as well as analyzing Big Data. The emphasis on why this is needed is taken care of later in the blog, but know how much data is getting created daily. This Big Data if not maintained well, enterprises are bound to lose out on customers. Let’s get started with the basics.

Need for Data Platform?

List of Big Data Platforms

Essential Components of Big Data Platform

#big data engineering #blogs #big data platform and use cases #beginners #big data platform #big data