Google Custom Search Reviews

Google Cloud Dataflow Reviews

Google Custom Search mentions (6)

• Is there a way to search keywords faster?

  Google's programmable search engine comes to mind: https://developers.google.com/custom-search/. Source: over 1 year ago

• How important are Google search operators/ Google dorks compared to other tools?

  Dorking is not only a very useful technique to find not-indexed results and unvoluntarly exposed content, it it also helps to improve beginner's analyst mindset. You can take it as an introduction to basic query language. What I can strongly suggest is to test your skills by creating your own google custom search engine (https://developers.google.com/custom-search/) that will faciltate your onlime search by... Source: over 1 year ago

• Brave Search passes 2.5B queries in its first year

  It looks like is targeted towards website owners and not the general public. https://developers.google.com/custom-search. - Source: Hacker News / about 2 years ago

• Google-clone - Google Search Clone Built Using React/Next js And Tailwind CSS

  A functional replica of Google's search page, you can use it for searches. Styled with Tailwind CSS to Rapidly build and look as close as possible to current google search page, the search results are pulled using Googles Programmable Search Engine and it was build using Next.js the react framework. - Source: dev.to / about 2 years ago

• Google Search Is Falling Behind, Especially in Code, Cooking and Travel

  There is a programmable search feature [0] that lets you limit search to a defined list of sites. Someone did a ShowHN a few months ago where they had built a programmable search with 200ish common sites that a stereotype HN reader might like (software documentation, wikipedia, reddit, some news and other media, etc), and it was actually pretty good. I've said before, google is now basically what I'd call a... - Source: Hacker News / about 2 years ago

Google Cloud Dataflow mentions (14)

• How do you implement CDC in your organization

  Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago

• Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!

  This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago

• How are view/listen counts rolled up on something like Spotify/YouTube?

  I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: almost 2 years ago

• Best way to export several GCP datasets to AWS?

  You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: almost 2 years ago

• Why we don’t use Spark

  It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 2 years ago