Remove how-to-use-apache-spark-with-cdp-operational-database-experience
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How to use Apache Spark with CDP Operational Database Experience

Cloudera

Apache Spark is a very popular analytics engine used for large-scale data processing. It is widely used for many big data applications and use cases. To know more about Apache Spark in CDP and CDP Operational Database Experience, see Apache Spark Overview and CDP Operational Database Experience Overview.

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Cloudera Operational Database application development concepts

Cloudera

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). . If you are new to Cloudera Operational Database, see this blog post. Cloudera Operational Database (COD) experience that is is a managed dbPaaS solution. Use the HBase REST server.

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Applying Fine Grained Security to Apache Spark

Cloudera

Fine grained access control (FGAC) with Spark. One approach is to use 3rd party tools (such as Privacera ) that integrate with Spark. This makes CDP the only platform where customers can use Spark with fine grained access control automatically, without requiring any additional tools or integrations.

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Using other CDP services with Cloudera Operational Database

Cloudera

In the previous blog post , we looked at some of the application development concepts for the Cloudera Operational Database (COD). In this blog post, we’ll see how you can use other CDP services with COD. COD is an operational database-as-a-service that brings ease of use and flexibility to Apache HBase.

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Getting Started with Cloudera Data Platform Operational Database (COD)

Cloudera

What is Cloudera Operational Database (COD)? Operational Database is a relational and non-relational database built on Apache HBase and is designed to support OLTP applications, which use big data. The operational database in Cloudera Data Platform has the following components: .

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Introducing Apache Iceberg in Cloudera Data Platform

Cloudera

The data explosion has to be met with new solutions, that’s why we are excited to introduce the next generation table format for large scale analytic datasets within Cloudera Data Platform (CDP) – Apache Iceberg. Apache Iceberg is a new open table format targeted for petabyte-scale analytic datasets. Key Design Goals .

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A Flexible and Efficient Storage System for Diverse Workloads

Cloudera

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

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