Cloudera Altus is a suite of products which enable you to deploy and consume Cloudera Enterprise clusters in the public cloud environment of your choice. With Cloudera Altus cloud services such as Altus Data Engineering or Altus Data Warehouse Cloudera creates and manages clusters on your behalf, using your cloud provider’s infrastructure resources, freeing you up to focus on your workloads and their business value. Cloudera Altus cloud services creates resources and manages them in your account,
Timely data is crucial to businesses in the Big Data age: This blog post outlines how Santander UK utilises the latest Cloudera technologies and superior software development capability to create the next generation of data warehousing and streaming analytics to support intelligence that can improve relationships with customers and follow the mantra of ‘we want to help people grow and prosper.‘
Santander UK’s big data journey started around four years ago.
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,
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.
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,