Apache Accumulo
Apache Avro
| Apache Accumulo | Apache Avro | |
|---|---|---|
| 2 | 22 | |
| 1,046 | 2,768 | |
| -0.2% | 0.9% | |
| 9.7 | 9.7 | |
| about 7 hours ago | 1 day 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.
Apache Accumulo
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In One Minute : Hadoop
Accumulo, a sorted, distributed key/value store that provides robust, scalable data storage and retrieval.
- Apache Accumulo – sorted, distributed, robust, scalable key/value store
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?
Presto - The official home of the Presto distributed SQL query engine for big data
Protobuf - Protocol Buffers - Google's data interchange format
beam - Apache Beam is a unified programming model for Batch and Streaming data processing.
SBE - Simple Binary Encoding (SBE) - High Performance Message Codec
Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Apache Thrift - Apache Thrift
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.
iceberg - Apache Iceberg
Apache Flink - Apache Flink
Apache Parquet - Apache Parquet
Hazelcast Jet - Distributed Stream and Batch Processing
gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)