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Expand Up @@ -517,6 +517,7 @@ You can read more about this distinction on Prof. Daniel Abadi's blog: [Distingu
* [HASH](https://hash.ai) - open source simulation and visualization platform.
* [Hermes](https://github.com/allegro/hermes) - asynchronous message broker built on top of Kafka.
* [Hunk](https://www.splunk.com/en_us/download/hunk.html) - Splunk analytics for Hadoop.
* [Ilum](https://ilum.cloud) - Free Data Lakeouse platforms with modules like Jupyter, Airflow, MlFlow, Mage.ai.
* [Imhotep](http://opensource.indeedeng.io/imhotep/) - Large scale analytics platform by indeed.
* [Indicative](https://www.indicative.com/) - Web & mobile analytics tool, with data warehouse (AWS, BigQuery) integration.
* [Jupyter](https://jupyter.org/) - Notebook and project application for interactive data science and scientific computing across all programming languages.
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## Interesting Readings

* [Big Data Benchmark](https://amplab.cs.berkeley.edu/benchmark/) - Benchmark of Redshift, Hive, Shark, Impala and Stiger/Tez.
* [How to run Apache Spark on Kubernetes in less than 5min](https://ilum.cloud/blog/spark-on-kubernetes/) - Guite on how to run Apache Spark on Kubernetes with Ilum.
* [NoSQL Comparison](https://kkovacs.eu/cassandra-vs-mongodb-vs-couchdb-vs-redis) - Cassandra vs MongoDB vs CouchDB vs Redis vs Riak vs HBase vs Couchbase vs Neo4j vs Hypertable vs ElasticSearch vs Accumulo vs VoltDB vs Scalaris comparison.
* [Monitoring Kafka performance](https://www.datadoghq.com/blog/monitoring-kafka-performance-metrics?ref=awesome) - Guide to monitoring Apache Kafka, including native methods for metrics collection.
* [Monitoring Hadoop performance](https://www.datadoghq.com/blog/monitor-hadoop-metrics?ref=awesome) - Guide to monitoring Hadoop, with an overview of Hadoop architecture, and native methods for metrics collection.
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