Data Management Top-Rated Data Modeling Tools for Effective Data Management in 2024 Learn more about the best data modeling tools for modern data management. These tools offer powerful features for designing, analyzing, and maintaining databases, ensuring data consistency, improving collaboration, and enhancing decision-making.
Big Data Harnessing the Power of DataHen: How Governments Can Efficiently Track Consumer Price Index In the digital age, data is the new oil. It powers decision-making, drives innovation, and enables governments to better serve their citizens. One crucial area where data can have a
data science Unleashing the Power of Data Science Teams: DataHen's Winning Partnership Strategy In today's increasingly data-driven world, the role of data science teams has become more crucial than ever. These teams need to navigate through the complex web of data
Big Data Ensuring Data Quality with JSON Schema Validation in Data Processing Pipelines Data is the lifeblood of modern businesses, powering decision-making, driving innovation, and delivering insights. As a result, ensuring the quality, accuracy, and consistency of data has become paramount. One effective
Data Mesh From Monolith to Data Mesh: DataHen's Evolution to a Scalable Web Scraping Infrastructure DataHen has come a long way since its inception as a monolithic Ruby on Rails app capable of scraping only a few hundred websites. In its most recent iteration, we
data extraction eBay Scraping - A Clever Way to E-commerce Success eBay is a huge eCommerce giant that specializes in resale. Being one of the oldest Internet businesses founded in 1995, eBay has been among eCommerce leaders for decades now. It
data extraction The Real Value of Customer Reviews with Data Extraction If you run a business, then you surely do your best to satisfy and please your customers, offering the best product or service. Customer reviews can help you understand if
Data Scraping Data Scraping Interviews-Tom Buckland, CEO of HQ SEO and Ghost Marketing Data Scraping, Business Success & More -------------------------------------------------------------------------------- 2010 is when Tom started to learn about internet marketing and came across the process of SEO (but ignored it for the most
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Big Data Big Data in Agriculture-Smart Farming Made Easy The digital era has revolutionized many industries with the huge impact of big data. The overwhelming amount of information available on the web is estimated to reach 44 zettabytes by
Data Scraping 10 Myths About Data Scraping You Probably Still Believe Data scraping is the process of extracting data from the web and it has become very popular in recent years. If used and analyzed properly, data can be a powerful
Data Scraping How Price Optimization Benefits Retail Businesses Setting competitive pricing has become a major challenge for businesses. In the era of massive competition, it’s hard to come up with a price that will be effective both
Big Data How Big Is Big Data? An Inside Look at It Have you ever wondered how big big data is? Or did you ever think what big data is used for? Well, if you answered no to these questions then we
amazon scraping What Exactly Can You Get From Amazon Data Scraping Back in 1995, the world’s leading online retail store was launched. Amazon started as an online book selling store, however, from the very beginning, it’s founders knew that
Data Scraping Why the Automobile Industry Should Make Use of Data Extraction Services in 2023 Data scraping aids the auto industry by uncovering consumer preferences, predicting market trends, and enhancing designs. Embracing it is key to staying competitive in 2023.
Data Scraping How Data Scraping Services Help Venture Capitalists Make Strategic Investment Choices? The aim of any venture capitalist is to invest in the success of small companies in order to earn a return on their investments, so they are in a constant
Data Scraping What Does the Future of Data Scraping Hold? We all should be interested in the future of web scraping because sooner or later, it will affect all of us and influence every industry out there. The future of
Data Scraping Web Data Extraction for Crafting Email Database for Affiliate Marketers In today’s world of intense competition, it’s extremely hard to sell a product, even if it is one of a kind and of excellent quality. In order to
tutorials How to Easily Scrape Ali Express Part 3: Parsers The next step is to create a script that will find and enqueue all the individual Ali Express product pages within the “Women’s Clothing” category, which we will then use to parse out the product details. Create a folder called “parsers” in our
tutorials How to Easily Scrape Ali Express Part 4: Exporters To create an exporter first create an “exporters” directory in your project’s root folder. Inside this “exporters” folder create a file called “products_json.yaml” with the following content: exporter_name: products_json # Must be unique exporter_type: json collection: products write_mode:
How to Easily Scrape Ali Express Part 2: Seeders Every DataHen scraper requires a seeder script which tells the scraper which pages to start scraping. A seeder script is a Ruby file that uses Ruby to load urls into a variable called, “pages.”
tutorials How to Easily Scrape Ali Express Part 1: Setup Scraping websites will get you valuable data but often times it is not straightforward. There are challenges such as creating requests (you will need to learn how to code and
tutorials How to Easily Scrape Amazon with Ruby and Nokogiri - Part 4: Exporters To create an exporter first create an “exporters” directory in your project’s root folder. Inside this “exporters” folder create a file called “products_json.yaml” with the following content: exporter_name: products_json # Must be unique exporter_type: json collection: products write_mode:
tutorials How to Easily Scrape Amazon with Ruby and Nokogiri - Part 3: Parsers The next step is to create a script that will find and enqueue all the Amazon television pages, which we will then use to parse out the product details. Create a folder called “parsers” in our project root directory: $ mkdir parsers Next create a
