Apache Spark
Apache Avro
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Apache Spark | Apache Avro | |
---|---|---|
101 | 22 | |
38,320 | 2,756 | |
1.1% | 1.4% | |
10.0 | 9.7 | |
4 days ago | 6 days ago | |
Scala | 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.
Apache Spark
- "xAI will open source Grok"
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Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉.
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🦿🛴Smarcity garbage reporting automation w/ ollama
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system
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Go concurrency simplified. Part 4: Post office as a data pipeline
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.
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Five Apache projects you probably didn't know about
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.
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Apache Spark VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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Integrate Pyspark Structured Streaming with confluent-kafka
Apache Spark - https://spark.apache.org/
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Spark – A micro framework for creating web applications in Kotlin and Java
A JVM based framework named "Spark", when https://spark.apache.org exists?
- Rest in Peas: The Unrecognized Death of Speech Recognition (2010)
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PySpark SparkSession Builder with Kubernetes Master
I recently saw a pull request that was merged to the Apache/Spark repository that apparently adds initial Python bindings for PySpark on K8s. I posted a comment to the PR asking a question about how to use spark-on-k8s in a Python Jupyter notebook, and was told to ask my question here.
Apache Avro
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Open Table Formats Such as Apache Iceberg Are Inevitable for Analytical Data
Apache AVRO [1] is one but it has been largely replaced by Parquet [2] which is a hybrid row/columnar format
[1] https://avro.apache.org/
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Generating Avro Schemas from Go types
The most common format for describing schema in this scenario is Apache Avro.
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How do you update an existing avro schema using apache avro SchemaBuilder?
I am testing a new schema registry which loads and retrieves different kinds of avro schemas. In the process of testing, I need to create a bunch of different types of avro schemas. As it involves a lot of permutations, I decided to create the schema programmatically.I am using the apache avro SchemaBuilder to do so.
- The state of Apache Avro in Rust
- How people generate examples for multiple programming languages?
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gRPC on the client side
Other serialization alternatives have a schema validation option: e.g., Avro, Kryo and Protocol Buffers. Interestingly enough, gRPC uses Protobuf to offer RPC across distributed components:
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Understanding Azure Event Hubs Capture
Apache Avro is a data serialization system, for more information visit Apache Avro
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tl;dr of Data Contracts
Once things like JSON became more popular Apache Avro appeared. You can define Avro files which can then be generated into Python, Java C, Ruby, etc.. classes.
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In One Minute : Hadoop
Avro, a data serialization system based on JSON schemas.
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Events: Fat or Thin?
Supporting multiple versions of an event schema is a solved problem. Apache Avro with a published schema hash in a message header is one solution.
https://avro.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)
Protobuf - Protocol Buffers - Google's data interchange format
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
SBE - Simple Binary Encoding (SBE) - High Performance Message Codec
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache Thrift - Apache Thrift
Scalding - A Scala API for Cascading
iceberg - Apache Iceberg
mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services
Apache Parquet - Apache Parquet
luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)