Assembly has helped thousands of companies achieve 95% employee engagement. Assembly works great for teams of all sizes and has a free trial option. Assembly offers a variety of useful features and integrates with Slack, MS Team, and popular SSO & HRIS solutions.
Improve employee engagement with CEO & executive updates, employee engagement surveys, employee recognition, employee nominations, employee pulse surveys, employee recognition surveys, weekly check-in templates, weekly template updates, and employee satisfaction surveys.
Improve internal communications with Ask me anything template, general news feed, Get Help template, Group feed, Icebreaker template, Idea Management template, Internal Wiki tool, Knowledge base, Standup meeting, Team retrospective and weekly updates.
Boost team productivity with daily recap template, daily/weekly agenda template, idea management template, meeting notes template, product feedback template, wins list, and a lightweight sales CRM template.
Simplify HR & Recruiting with templates such as employee benefits survey, contractor time tracking, employee exit interview survey, employee satisfaction survey, eNPS score, internal referral program, interview questions template and new hire survey.
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Website | aws.amazon.com |
Pricing URL | - |
Details $ | - |
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Website | joinassembly.com |
Pricing URL | Official Assembly Pricing |
Details $ | freemium |
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I use to do my one on ones manually and had a slew of questions I'd run through. Now I have my reports answer the questions and leave a response of the most important things we can discuss when in our one on one.
Now I have a historical record of everything that is important, we spend time talking about what is most important for them that week, and we save nearly 30-45min per one on one.
Based on our record, Amazon EMR seems to be more popular. It has been mentiond 10 times since March 2021. 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.
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: over 1 year 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: almost 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: almost 2 years ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Bonusly - Recognition and rewards that make work fun
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Labourly - Your all-in-one HR solution to manage and hire work-ready candidates.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Kudos - Kudos is the simple and easy to use employee recognition software that enhances employee engagement and team communication.