bookkeeper
Zeppelin
bookkeeper | Zeppelin | |
---|---|---|
3 | 8 | |
1,848 | 6,263 | |
0.2% | 0.2% | |
9.3 | 8.7 | |
7 days ago | 6 days ago | |
Java | Java | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
bookkeeper
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Apache Pulsar vs Apache Kafka - How to choose a data streaming platform
Is it possible to store data within Kafka and Pulsar? The answer is yes, both systems offer long-term storage solutions, but their underlying implementations differ widely. While Kafka uses logs that are distributed among brokers, Pulsar uses Apache BookKeeper for storage.
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Bring Streaming to Apache Cassandra with Apache Pulsar
Apache BookKeeper®: An open-source storage service that handles persistent storage of messages.
- Scalable, fault-tolerant, low-latency storage service for real-time workloads
Zeppelin
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Serverless Apache Zeppelin on AWS
Now we can proceed with the definition of Apache Zeppelin. It is a web-based notebook that enables data-driven, interactive data analytics and collaborative documents with Python, Scala, SQL, Spark, and more. You can execute code and even schedule a job (via cron) to run at regular intervals.
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Visualization using Pyspark Dataframe
Have you tried Apache Zepellin I remember that you can pretty print spark dataframes directly on it with z.show(df)
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Fast CSV Processing with SIMD
I used to use Zeppelin, some kind of Jupyter Notebook for Spark (that supports Parquet). But it may be better alternatives.
https://zeppelin.apache.org/
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What libraries do you use for machine learning and data visualizing in scala?
Another more widely used notebooks for scala and spark: https://zeppelin.apache.org/
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How to use IPython in Apache Zeppelin Notebook
[1] Apache Zeppelin http://zeppelin.apache.org/ [2] Zeppelin notebooks website http://zeppelin-notebook.com/. [3] Zeppelin notebooks git repo https://github.com/zjffdu/zeppelin-notebook
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BI Application in Golang.
Apache Zeppelin
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Using InterSystems Caché and Apache Zeppelin
For all who think: What the heck is Apache Zeppelin? Here are some details what the project site says:
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Is there a way to collaborate in real-time for Jupyter Notebooks?
Check out Zeppelin. It's similar to Jupyter and allows real-time editing by multiple users. https://zeppelin.apache.org/
What are some alternatives?
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Breeze - Breeze is a numerical processing library for Scala.
Apache ZooKeeper - Apache ZooKeeper
Spark Notebook - Interactive and Reactive Data Science using Scala and Spark.
Apache Flink - Apache Flink
Algebird - Abstract Algebra for Scala
Hazelcast - Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
Figaro - Figaro Programming Language and Core Libraries
Apache Storm - Apache Storm
BigDL - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc.
beam - Apache Beam is a unified programming model for Batch and Streaming data processing.
Smile - Statistical Machine Intelligence & Learning Engine