Tag Archives: Cloudera Manager

Inside Santander’s Near Real-Time Data Ingest Architecture

Categories: Flume HBase Kafka

Learn about the near real-time data ingest architecture for transforming and enriching data streams using Apache Flume, Apache Kafka, and RocksDB at Santander UK.

Cloudera Professional Services has been working with Santander UK to build a near real-time (NRT) transactional analytics system on Apache Hadoop. The objective is to capture, transform, enrich, count, and store a transaction within a few seconds of a card purchase taking place. The system receives the bank’s retail customer card transactions and calculates the associated trend information aggregated by account holder and over a number of dimensions and taxonomies.

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Deploying Apache Kafka: A Practical FAQ

Categories: CDH Kafka

This post contains answers to common questions about deploying and configuring Apache Kafka as part of a Cloudera-powered enterprise data hub.

Cloudera added support for Apache Kafka, the open standard for streaming data, in February 2015 after its brief incubation period in Cloudera Labs. Apache Kafka now is an integrated part of CDH, manageable via Cloudera Manager, and we are witnessing rapid adoption of Kafka across our customer base.

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New in CDH 5.4: Sensitive Data Redaction

Categories: CDH Cloudera Manager Platform Security & Cybersecurity

The best data protection strategy is to remove sensitive information from everyplace it’s not needed.

Have you ever wondered what sort of “sensitive” information might wind up in Apache Hadoop log files? For example, if you’re storing credit card numbers inside HDFS, might they ever “leak” into a log file outside of HDFS? What about SQL queries? If you have a query like select * from table where creditcard = ‘1234-5678-9012-3456’,

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Architectural Patterns for Near Real-Time Data Processing with Apache Hadoop

Categories: Data Ingestion Flume Hadoop HBase Kafka Spark

Evaluating which streaming architectural pattern is the best match to your use case is a precondition for a successful production deployment.

The Apache Hadoop ecosystem has become a preferred platform for enterprises seeking to process and understand large-scale data in real time. Technologies like Apache Kafka, Apache Flume, Apache Spark, Apache Storm, and Apache Samza are increasingly pushing the envelope on what is possible. It is often tempting to bucket large-scale streaming use cases together but in reality they tend to break down into a few different architectural patterns,

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How-to: Get Started with CDH on OpenStack with Sahara

Categories: Cloud Guest

The recent OpenStack Kilo release adds many features to the Sahara project, which provides a simple means of provisioning an Apache Hadoop (or Spark) cluster on top of OpenStack. This how-to, from Intel Software Engineer Wei Ting Chen, explains how to use the Sahara CDH plugin with this new release.

[Ed note: Cloudera does not provide support for Cloudera Enterprise on OpenStack. Cloudera customers should contact their representative with questions.]

Prerequisites

This how-to assumes that OpenStack is already installed.

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