What’s New in Cloudera Altus Director 6.0?

Categories: Cloudera Director

Cloudera Altus Director 6.0 adds support for deploying CDH 6 clusters on public cloud infrastructure. Altus Director also features improved integration with SDX configured namespaces, allows encryption of its configuration properties, and includes a tool for copying its database. Altus Director’s interfaces have been streamlined, removing deprecated features and old API endpoints.

Cloudera Altus Director, formerly known as Cloudera Director, helps you deploy, scale, and manage Cloudera clusters in AWS,

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Support Best Practices Video

Categories: Customer Success

Cloudera Support recently received Service Capability & Performance (SCP) certification for the third consecutive year. In order to earn this industry-leading mark of distinction, a support organization must demonstrate an ongoing commitment to exemplary standards and methodologies in over 100 major performance areas. At the heart of this achievement is the fundamental mission of Cloudera Support: Enable total customer success.

Cloudera strongly believes that timely, accurate, and healthy communication has to exist between the customer and our support organization in order to result in a successful outcome for both parties.

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Robust Message Serialization in Apache Kafka Using Apache Avro, Part 3

Categories: Avro CDH How-to Kafka

Part 3: Configuring Clients

Earlier, we introduced Kafka Serializers and Deserializers that are capable of writing and reading Kafka records in Avro format. In this part we will going to see how to configure producers and consumers to use them.

Setting up a Kafka Topic for use as a Schema Store

KafkaTopicSchemaProvider works with a Kafka topic as its persistent store. This topic will contain at most thousands of records: the schemas. It does not need multiple partitions,

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Robust Message Serialization in Apache Kafka Using Apache Avro, Part 2

Categories: Avro CDH How-to Kafka

Implementing a Schema Store

In Part 1, we saw the need for an Apache Avro schema provider but did not implement one. In this part we will implement a schema provider that works with Apache Kafka as storage.

In-Memory SchemaStore

First we can implement an in-memory store for schemas. This is useful to understand the requirements for such a store and as the cache of the Kafka backed store. A SchemaStore has to be quick in looking up VersionedSchema entries.

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