Padlet
Popplet
Quiver
Quizalize
Acadly
Kids A-Z
Socrative
Seesaw
Google Cloud Dataflow
Amazon EMR
Google BigQuery
Qubole
Snowflake
Databricks
Apache Beam
Amazon Kinesis
Dostoevsky said that beauty will save the world.
Padlet offers beautiful boards and canvases for visual thinkers and learners. Use boards to collect, organize, and present anything. Use sandboxes for whiteboarding, lessons, and activities.
Over 40 million people every month actively use Padlet around the world. Here are some of the ways they use it:
-Collaborate on files with clients -Store instructional videos -Share marketing assets -Manage real-estate listings on a map -Create interactive lessons -Design collaborative worksheets -Make slideshows -Build meeting agendas -Solicit feedback -Brainstorm ideas -And more
Dostoevsky would have loved Padlet.
Padlet Google Cloud DataflowPadlet's answer
Padlet makes beautiful boards and canvases for visual thinkers and learners. You can post almost anything - files, images, videos, links - and organize them however you want. It's like a blank canvas that works exactly how you'd expect it to.
Padlet's answer
We focus on making things beautiful by default, with pixel-perfect design and automatic formatting. You get instant file previews, curated wallpapers, and real-time collaboration that just works. Plus, it's available in 45 languages across all major platforms.
Padlet's answer
Over 40 million monthly users including:
Padlet's answer
Padlet was originally called Wallwisher. It was a tool to create walls to make birthday wishes.
Google Cloud Dataflow might be a bit more popular than Padlet. We know about 14 links to it since March 2021 and only 14 links to Padlet. 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.
I use https://padlet.com and it's varying types of padlets to keep track of things, brainstorming, etc. Source: about 3 years ago
STAAR Math Practice is the state's testing program and is based on state curriculum standards in core subjects including reading, writing, mathematics, science, and social studies. STAAR tests are designed to measure what students are learning in each grade and whether or not they are ready for the next grade. Source: over 3 years ago
From urllib.request import Request, urlopen Req = Request("https://padlet.com") Req.add_header('User-Agent', 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11') Req.add_header('Accept-Encoding','gzip, deflate, br') Req.add_header('Connection','keep-alive') Resp = urlopen(req) Content = resp.read(). Source: over 3 years ago
We've used Padlet in the past but switched to Menti a year ago or so. There are many other tools, and most have an export feature, which allows you to download the data in a format readable by Excel. In Excel, we code each comment according to the categories covered by our in-house course survey: content, facilitation, duration, pacing, venue, materials, learning, relevance, satisfaction, and likelihood to recommend. Source: over 3 years ago
Hi, could anyone tell me if you are able to track who anonymously posted something on padlet.com ? Source: over 3 years ago
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 3 years ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 3 years ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: almost 4 years ago
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 4 years ago
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 4 years ago
Popplet - Popplet is the simplest application to capture and organize your idea.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Quiver - Quiver is a notebook built for programmers.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Quizalize - Quizalize is a leading web-based and mobile-based classroom application that delivers the best and easiest way to differentiates your teaching.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
