hop
Apache ZooKeeper
hop | Apache ZooKeeper | |
---|---|---|
13 | 36 | |
858 | 11,937 | |
2.1% | 0.4% | |
9.2 | 8.3 | |
8 days ago | 8 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.
hop
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Loading data
If you're looking for a visual and more intuitive way to load data to Neo4j, you might want to have a look at Apache Hop. Hop comes with tons of functionality to load data to Neo4j.
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How to automate cypher query?
Apache Hop is a great open source orchestration platform with excellent native Neo4j support.
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Does anyone use a no-code data transformation tool?
Have you checked out Apache Hop? https://hop.apache.org/ It is a very powerful no-code open source ETL tool.
- Hop – The easiest way to deploy your code
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Kafka ETL tool, is there any?
Apache Hop https://hop.apache.org/
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What are the Possible Oracle database to Salesforce Integration solutions
You could look into Apache Hop. Open source with Salesforce connectors. Powerful free option for reverse ETL. https://hop.apache.org/
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[Q] Knowledge Graph - Populating the GraphDB from scratch.
I would get familiar with an ETL tool. Apache Hop is excellent, opensource, and has native support for neo4j. It will make your imports easier to see the "flow" - also easier to share/collaborate with others. It also gives you support to use several methods (direct from RDBMS, from CSV, or running code like your python example) all from within the same workflows/pipelines, so you can use the best method/tool for a particular part of your process.
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Replace RDBMS with neo4j
I used Apache HOP as an ETL to integrate the ERP data from RangerMSP into a Neo4j knowledgegraph. Then connected the ERP data to our other vendors data using their web APIs (Office365/sharepoint/teams), backups, infrastructure monitoring/alerting to create other workflows that performed automations and validations of our service delivery. The reporting is so so much easier, faster, and more contextual since relationships are created as the data is built/modified, rather then when queried as in an RDBMS.
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Apache Hop few questions about starting up
I'm a pentaho pdi user that wants to give a try to Apache Hop. I've started the gui and learned a bit how to import from pdi, create a new workflow/pipeline, made some test. Now I've to move on but reading the docs at https://hop.apache.org/ I can't find informations I need:
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is there a software to use spark without carry about coding using it's apis
You can try Apache Hop
Apache ZooKeeper
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On Implementation of Distributed Protocols
Apache ZooKeeper — a distributed coordination, synchronization, and configuration service (written in Java);
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Easy Guide to Integrating Kafka: Practical Solutions for Managing Blob Data
To use Kafka, we also need to deploy a service that keeps configuration informations such as Zookeeper.
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Fault Tolerance in Distributed Systems: Strategies and Case Studies
Failure Detection and Recovery It’s not enough to have backup systems. It’s also crucial to detect failures quickly. Modern systems employ monitoring tools and rely on distributed coordination systems such as Zookeeper or etcd to identify faults in real-time: once detected, recovery mechanisms are triggered to restore the service.
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Reddit System Design/Architecture
zookeeper: is (was?) used for secrets management. it was also used as a basic health check, but has been since been replaced.
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Analysing Github Stars - Extracting and analyzing data from Github using Apache NiFi®, Apache Kafka® and Apache Druid®
You can install Kafka from https://kafka.apache.org/quickstart. Because Druid and Kafka both use Apache Zookeeper, I opted to use the Zookeeper deployment that comes with Druid, so didn’t start it with Kafka. Once running, I created two topics for me to post the data into, and for Druid to ingest from:
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Use AWS CloudFormation to create ShardingSphere HA clusters
Please note that we use Zookeeper as the Governance Center.
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How to choose the right API Gateway
Next, review deployment complexity such as DB-less versus database-backed deployments. For example, Kong does require running Cassandra or Postgres. Apigee requires Cassandra, Zookeeper, and Postgres to run, while other solutions like Express Gateway and Tyk only require Redis. Apache APISIX uses etcd as its data store, it stores and manages routing-related and plugin-related configurations in etcd in the Data Plane.
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In One Minute : Hadoop
ZooKeeper, a system for coordinating distributed nodes, similar to Google's Chubby
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To study Apache Kafka Architecture in details, and how to install, deploy configure Apache kafka.
[Unit] Description=Apache Zookeeper server Documentation=http://zookeeper.apache.org Requires=network.target remote-fs.target After=network.target remote-fs.target [Service] Type=simple ExecStart=/usr/local/kafka/bin/zookeeper-server-start.sh /usr/local/kafka/config/zookeeper.properties ExecStop=/usr/local/kafka/bin/zookeeper-server-stop.sh Restart=on-abnormal [Install] WantedBy=multi-user.target
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ElasticJob 3.0.2 is released including failover optimization, scheduling stability, and Java 19 compatibility
ElasticJob achieves distributed coordination through ZooKeeper. In practical scenarios, users may start multiple jobs in the same project simultaneously, all of which use the same Apache Curator client. There are certain risks due to the nature of ZooKeeper and the callback method of Curator in a single event thread.
What are some alternatives?
Apache Log4j 2 - Apache Log4j 2 is a versatile, feature-rich, efficient logging API and backend for Java.
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.
vanus - Vanus is a Serverless, event streaming system with processing capabilities. It easily connects SaaS, Cloud Services, and Databases to help users build next-gen Event-driven Applications.
kubernetes - Production-Grade Container Scheduling and Management
Apache Hive - Apache Hive
JGroups - The JGroups project
Smooks - Extensible data integration Java framework for building XML and non-XML fragment-based applications
Zuul - Zuul is a gateway service that provides dynamic routing, monitoring, resiliency, security, and more.
tarindexer - python module for indexing tar files for fast access
Akka - Build highly concurrent, distributed, and resilient message-driven applications on the JVM
Faust - Python Stream Processing
etcd - Distributed reliable key-value store for the most critical data of a distributed system