applying-fine-grained-security-to-apache-spark 
Cloudera
AUGUST 3, 2022
Fine grained access control (FGAC) with Spark. The challenges of arbitrary code execution notwithstanding, there have been attempts to provide a stronger security model but with mixed results. One approach is to use 3rd party tools (such as Privacera ) that integrate with Spark.
Cloudera
AUGUST 8, 2022
In June 2022, Cloudera announced the general availability of Apache Iceberg in the Cloudera Data Platform (CDP). Iceberg is a 100% open-table format, developed through the Apache Software Foundation , which helps users avoid vendor lock-in and implement an open lakehouse. .
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Cloudera
FEBRUARY 11, 2021
When Kudu was first introduced as a part of CDH in 2017, it didn’t support any kind of authorization so only air-gapped and non-secure use cases were satisfied. Coarse-grained authorization was added along with authentication in CDH 5.11 (Kudu 1.3.0) You’ll need to name the policy and set the resource it will apply to.
Cloudera
SEPTEMBER 28, 2020
Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Attribute-based access control and SparkSQL fine-grained access control.
Cloudera
SEPTEMBER 9, 2021
The CDP Operational Database ( COD ) builds on the foundation of existing operational database capabilities that were available with Apache HBase and/or Apache Phoenix in legacy CDH and HDP deployments. Quantifiable performance improvements of Apache Hbase 2.2.x Quantifiable performance improvements of Apache Hbase 2.2.x
Cloudera
FEBRUARY 22, 2022
Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. Key Design Goals .
Cloudera
JULY 26, 2021
Deep Java Learning, Apache Spark 3.x, Lambda or Kappa architectures) and implementing reliable streaming capabilities at scale by leveraging technologies such as Apache NiFi and Apache Kafka, has made possible the ability to harness and commercialize an ever-increasing volume of real-time data such as time-series or clickstream data.
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