how-to-run-queries-periodically-in-apache-hive 
Cloudera
SEPTEMBER 2, 2021
Normally on-premises, one of the key challenges was how to allocate resources within a finite set of resources (i.e., When building CDE, we integrated with Apache YuniKorn which offers rich scheduling capabilities on Kubernetes. . We tested the scaling capabilities of CDE with the following job runs to mimic a real-world scenario: .
Cloudera
JUNE 25, 2021
Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. The Replication Manager service facilitates both disaster recovery and data migration across different environments.
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Cloudera
JULY 18, 2022
In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Data decays! Use case recap.
Cloudera
OCTOBER 8, 2021
Apache Impala is a massively parallel in-memory SQL engine supported by Cloudera designed for Analytics and ad hoc queries against data stored in Apache Hive, Apache HBase and Apache Kudu tables. Anatomy of Impala Query Execution. Introduction.
Cloudera
FEBRUARY 11, 2021
which made it possible to restrict access only to Apache Impala where Apache Sentry policies could be applied, enabling a lot more use cases. which made it possible to restrict access only to Apache Impala where Apache Sentry policies could be applied, enabling a lot more use cases. How it works.
Cloudera
DECEMBER 10, 2020
Continuous resource consumption in the cloud (billable on-demand by a running clock) makes no sense today because a better option is available: resource consumption that starts when you need it and stops when you don’t. If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse.
Cloudera
FEBRUARY 8, 2024
Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. Such a query pattern is quite common in BI queries.
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