Smartlook
Hotjar
Google Analytics
FullStory
LiveSession
Mixpanel
Crazy Egg
Heap
Amazon EMR
Google BigQuery
Google Cloud Dataflow
Databricks
Google Cloud Dataproc
Qubole
Snowflake
HortonWorks Data Platform
Smartlook is a qualitative analytics solution for web and mobile helping over 250,000 businesses of all sizes and industries answer the “whys” behind users’ actions — why do users churn, or why aren’t they using a feature, or why are they skipping onboarding? Now you can eliminate the guesswork.
With a unique feature set, Smartlook gives you a way to finally understand user behavior at the micro level. Always-on visitor recordings show you what every last visitor does on your website or app, and heatmaps give you mass data about where most people click and scroll. Automatic event tracking lets you know how (and how often) your visitors do specific things, while conversion funnels take those events and show you how much success you're having with conversions.
Started in 2016, Smartlook has grown into a complete solution for qualitative analytics, making guesswork a thing of the past. Stop wondering why, and start getting answers today.
Smartlook Amazon EMRBased on our record, Amazon EMR should be more popular than Smartlook. 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.
Check out - smartlook.com. Just started with it yesterday and so far so good. Source: about 1 year ago
In other words, the site should fail gracefully if smartlook.com or whatever is blocked. Source: almost 2 years ago
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: almost 2 years 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: about 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: about 2 years ago
Hotjar - The #1 Leader in Heatmaps, Recordings, Surveys & More. Sign up for a 15-day free trial and start learning from real user behavior today!
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
FullStory - Meet FullStory, the app that captures all your customer experience data in one powerful platform.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?