Ahrefs is trusted by SEOs and marketing professionals worldwide as the ultimate toolset for SEO, powered by industry-leading data. Ahrefs crawls the web, stores tons of data and makes it easily accessible via a simple user interface. The data can be used to aid keyword research, link building, content marketing and SEO strategies. Ultimately, the tool helps to accelerate the growth of organic search traffic to a website.
I've enjoyed using Ahrefs to inform content creation due to their keyword explorer being so useful for finding low difficulty keywords. I do prefer the legacy version of their site explorer in comparison to the new format so I hope that they do not retire certain elements of the platform.
Based on our record, Ahrefs seems to be a lot more popular than Amazon EMR. While we know about 111 links to Ahrefs, we've tracked only 10 mentions of Amazon EMR. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Ahrefs is an online software suite used for SEO and content marketing. You can discover the most valuable keywords to target, see the content that's ranking for those terms, find link building opportunities, analyze your competitors' sites. The advanced application tracking system lets its users track search engine rankings and positions. - Source: dev.to / 26 days ago
Next up, let's find articles ranking between 4 and 15. To do this, you'll log into Ahrefs and use site explorer on the target site, navigating to "top pages." Here's what that looks like for our property, makemeaprogrammer.com. - Source: dev.to / 5 months ago
Did you know that securing backlinks from industry giants like Ahrefs, SEMrush, Get First Page, and Search Engine Land can be a game-changer for your online presence? 📈💻. Source: 6 months ago
Analyze competitors’ link configuration files (analyze and study competitors’ external link configuration, which can be detected through Ahrefs analysis tool);. Source: 7 months ago
Even When I checked my site on https://ahrefs.com/ he shows approx 350 domain with high DA and PA. Source: 7 months ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
Check out https://aws.amazon.com/emr/. Source: about 2 years ago
SEMRush - All-in-one Marketing Toolkit for digital marketing professionals.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Moz - Backed by industry-leading data and the largest community of SEOs on the planet, Moz builds tools that make inbound marketing easy.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
SE Ranking - All-in-One cloud-based SEO software for agencies, marketing teams and webmasters
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?