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Join DNS Records (abusive domains) with Socialgist News
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How Datastreamer works
Quickly connect DNS Records (abusive domains) and Socialgist News with a Datstreamer Pipeline.
Quickly connect DNS Records (abusive domains) and Socialgist News with a Datstreamer Pipeline.
Step 1
Start your Pipeline with DNS Records (abusive domains)
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
Step 2
Add Socialgist News with Unify or another transformer to combine schemas
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected DNS Records (abusive domains) and Socialgist News
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
See DNS record requests for domains that engaged in abuse. View actionable data points such as whole hostnames and requesting IP addresses alongside record type requested (ie: a request for the MX record badmailserver.example.com).
Use Cases
Cybersecurity and Analysis: security professionals can utilize our data to analyze trends in DNS abuse, develop threat intelligence, and enhance their defensive measures.
Law Enforcement: agencies can leverage our information to investigate cybercrimes and take legal action against operators of abusive domains.
Research: academics and researchers can access our data for studies on DNS abuse patterns and the effectiveness of sinkholes.
About Socialgist News
Description
Drawing from over 1,000 Chinese news sources and over 25,000 English news sources, Socialgist provides a comprehensive overview of current events, editorial opinions, and journalistic analysis. This dataset is invaluable for understanding media narratives, tracking news cycles, and analyzing the impact of current events on public discourse and sentiment across various regions and topics.
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