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Apache Iceberg
The integration of Apache Iceberg with Cloudera empowers enterprises to leverage mission-critical data, feed AI models, and streamline error-prone processes, thereby creating new use cases, boosting overall efficiency, and reducing costs. Iceberg enables businesses to harness AI capabilities within a secure, on-premise environment via its open desk format. This integration seamlessly incorporates cutting-edge compute engines such as Spark, Flink, Impala, and NiFi, allowing for simultaneous data set importation and processing within Iceberg’s robust framework?
By harnessing features such as temporal data analysis, scalable database design, and intuitive metadata exploration, Iceberg enables data teams to efficiently govern their data lakes while maintaining the highest levels of data accuracy and reliability. As organizations strive to achieve regulatory compliance with regulations such as GDPR, ensuring seamless in-place schema evolution and robust ACID transactions within their info lakehouses takes on heightened importance. The robust platform for ensuring information security and effective governance.
Apache Ozone
As artificial intelligence and advanced analytics continue to evolve in scope, complexity, and scalability, the need for seamless integration of efficient and scalable data storage solutions will only intensify. Notably, Apache Ozone excels in scaling efficiency, offering enhanced performance at a reduced cost, thereby enabling organizations to generate greater business value. With its latest upgrade, Cloudera’s newest release offers clients additional tools to enhance security and bolster enterprise preparedness.
In our latest era, we’ve introduced innovative features such as enhanced replication, expanded volume quotas, cloud-native architecture support through buckets, and snapshot capabilities that can now store helpful metadata on the bucket, along with customizable quantity ranges.
Zero Downtime Upgrades
Building on previous advancements in Iceberg and Ozone, the platform has now been further enhanced with the introduction of Zero Downtime Upgrades (ZDU), allowing for seamless updates. ZD Universe offers organizations a convenient method for upgrading. The seamless rolling upgrade of big data technologies is currently enabled for HDFS, Hive, HBase, Kudu, Kafka, Ranger, YARN, and Ranger KMS, thereby minimizing workflow interruptions and eliminating costly extended outages.
By incorporating ZDU, clients gain a substantial boost in productivity, leveraging features such as seamless one-stage upgrades and automatic scaling for large datasets. To mitigate potential downtime on platform elements that may still be expected to experience disruptions, this update optimizes them via Cloudera Supervisor, allowing for swift and efficient restarting capabilities. This milestone represents a significant enhancement over previous versions, where some services, such as Queue Manager, were often among the first to fail and last to recover. These service providers can quickly recover and resume operations within minutes, standing at the forefront of the ZDU’s response time.
