Telegram
WhatsApp
Signal
Slack
Skype
Element.io
Facebook Messenger
Discord
Apache Spark
Apache Flink
Hadoop
Apache Kafka
Apache Hive
Apache Storm
Splunk
Apache Airflow
Telegram Apache SparkVery secure, straightforward,and i must say,more relevant nowadays, at least in my opinion.
Based on our record, Telegram should be more popular than Apache Spark. It has been mentiond 139 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.
Anyway, copying and reproducing is a great way to learn. It also train the mind to decompose every applications in small pieces. The same could have been done for Briar, SimpleX or Telegram applications, all of them are open-source and available on Github, Gitlab or somewhere else. Some of them are supporting mobile, desktop and web platform, in short, they are great targets. To summarize, if you want to learn how... - Source: dev.to / about 1 month ago
In fact, as of today, Anthropic officially shipped this as Claude Code Channels โ a plugin-based feature that lets you push messages from Telegram or Discord into a running Claude Code session on your machine. Your session processes the request with full filesystem, MCP, and git access, then replies through the same chat. It's built on MCP, which means it slots into the existing plugin ecosystem cleanly. I ran my... - Source: dev.to / 4 months ago
Nowadays, messaging apps are ubiquitous. Itโs quite possible that at least one message from such a service just buzzed in your pocket a moment ago. So why not to send a message to a chat group where your friends or customers can act on your trading tips! We chose Telegram because we are the most familiar with that particular service. The concept is straightforward: create a Telegram bot and utilize it to send... - Source: dev.to / about 1 year ago
Learn about Telegramโs growth and privacy features at Telegram. - Source: dev.to / about 1 year ago
As digital identity and blockchain integration continue to evolve, Fragment Telegram sets an inspiring benchmark for other platforms looking to innovate while emphasizing ease of use and security. The discussion of these trends also intersects with broader topics in blockchain finance and development. For additional information on blockchain innovations, refer to Telegramโs official website and read about current... - Source: dev.to / about 1 year ago
Feature transformations should be deterministic: The same input should produce the same output when the same feature definition and configuration are applied. This is what allows training, backtesting, and live inference to remain aligned. Tools such as Pandas, Spark, or feature platforms such as Feast can be used to implement that logic. - Source: dev.to / about 1 month ago
Apache Spark provides distributed in-memory data processing and is the appropriate tool when the data set to be reconciled does not fit in a single machine's memory, or when parallelizing the comparison across a cluster would reduce runtime from hours to minutes. - Source: dev.to / 2 months ago
When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVMโsuch as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data ecosystem, choosing Java was a natural decision. - Source: dev.to / 4 months ago
For handling even larger datasets or building production applications, Apache Spark provides excellent Parquet support with distributed processing capabilities. - Source: dev.to / 4 months ago
You may want to consider renaming this project. The name "Spark" already refers to: A popular data analytics framework of the Apache Foundation: https://spark.apache.org/ A subset of the Ada programming language used for formal verification: https://learn.adacore.com/courses/intro-to-spark/chapters/01_Overview.html An Nvidia AI development system: https://www.nvidia.com/en-us/products/workstations/dgx-spark/. - Source: Hacker News / 6 months ago
WhatsApp - WhatsApp Messenger: More than 1 billion people in over 180 countries use WhatsApp to stay in touch with friends and family, anytime and anywhere.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Signal - Fast, simple & secure messaging. Privacy that fits in your pocket.
Hadoop - Open-source software for reliable, scalable, distributed computing
Slack - A messaging app for teams who see through the Earth!
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.