Based on our record, Apache Flink should be more popular than AWS Chatbot. It has been mentiond 27 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.
For visibility of the pipelines I have set up a NotificationTopic , this topic is a SNS Topic that has AWS ChatBot as a subscriber. Chatbot will then send the updates to my Slack workspace that I have set up. This way when the pipeline is triggered I will get the notifications on my phone and laptop. - Source: dev.to / 4 months ago
Setup AWS Chatbot for best experience to get notified directly on Slack and MS Teams. - Source: dev.to / 9 months ago
AWS Chatbot: Monitor, operate, and troubleshoot your AWS resources with interactive ChatOps. - Source: dev.to / about 1 year ago
Meet AWS Chatbot. Interactive agent that makes it easier to monitor and interact with your Amazon Web Services (AWS) resources from your team’s Slack channels. By integrating AWS Chatbot with Slack, DevOps teams can receive real-time notifications, view incident details, and response incident quickly without need to cycle among other tools. - Source: dev.to / over 1 year ago
Modern machine learning algorithms are basically pattern recognition machines. They can recognize patterns in speech and can create convincing variations of that speech. Modern chatbot programs have become widely available to the public over the last decade. It's easy for anyone with a few hundred bucks to buy AWS Chatbot time and some basic programming knowledge to create a chatbot that could post convincingly... Source: over 1 year ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 24 days ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 5 months ago
ML5.js - Friendly machine learning for the web
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
AWS CodeCommit - AWS CodeCommit is a fully-managed source control service that makes it easy for companies to host secure private Git repositories.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.