Blog posts tagged with 'gcp''
- Analyzing Reddit’s Top Posts & Images With Google Cloud (Part 1)
2018-06-12: In this article (and its successors), we will use a fully serverless Cloud solution, based on Google Cloud, to analyze the top Reddit posts of the 100 most popular subreddits. We will be looking at images, text, questions, and metadata...
analyticsautomlbig datacloudgoogle cloudgcpmachine learningprogrammingpythontensorflowvision
- Analyzing Twitter Location Data with Heron, Machine Learning, Google's NLP, and BigQuery
2018-03-18: In this article, we will use Heron, the distributed stream processing and analytics engine from Twitter, together with Google’s NLP toolkit, Nominatim and some Machine Learning as well as Google’s BigTable, BigQuery, and Data Studio to plot Twitter user's assumed location across the US.
analyticsbig datacloudgoogle cloudgcpmachine learningprogramminghbasenlpheronstormjava
- Analyzing Reddit’s Top Posts & Images With Google Cloud (Part 2 - AutoML)
2018-10-27: In the last iteration of this article we analyzed the top 100 subreddits and tried to understand what makes a reddit post successful by using Google’s Cloud ML tool set to analyze popular pictures.
analyticsautomlbig datacloudgoogle cloudgcpmachine learningprogrammingpythontensorflowvision
- A Data Engineering Perspective on Go vs. Python (Part 2 - Dataflow)
2020-07-06: In Part 2 of our comparison of Python and go from a Data Engineering perspective, we'll finally take a look at Apache Beam and Google Dataflow and how the go SDK and the Python SDK differ, what drawbacks we're dealing with, how fast it is by running extensive benchmarks, and how feasible it is to make the switch
gogolangpythondataflowbeamgoogle cloudgcpsparkbig dataprogrammingbenchmarkingperformance