Tag Archives: use cases

What’s New in Cloudera Director 1.5?

Categories: Cloud

Cloudera Director 1.5 is now available; this post describes what’s inside, including a new open source plugin interface.

Cloudera Director is the manifestation of Cloudera’s commitment to providing a simple and reliable way to deploy, scale, and manage Apache Hadoop in the cloud of your choice. With Cloudera Director 1.5, we continue the story of enabling production-ready clusters and big data applications by focusing on the following themes.

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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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Getting Started with Ibis and How to Contribute

Categories: Cloudera Labs Impala

Learn about the architecture of Ibis, the roadmaps for Ibis and Impala, and how to get started and contribute.

We created Ibis, a new Python data analysis framework now incubating in Cloudera Labs, with the goal of enabling data scientists and data engineers to be as productive working with big data as they are working with small and medium data today. In doing so, we will enable Python to become a true first-class language for Apache Hadoop,

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Ibis on Impala: Python at Scale for Data Science

Categories: Cloudera Labs Data Science Impala

This new Cloudera Labs project promises to deliver the great Python user experience and ecosystem at Hadoop scale.

Across the user community, you will find general agreement that the Apache Hadoop stack has progressed dramatically in just the past few years. For example, Search and Impala have moved Hadoop beyond batch processing, while developers are seeing significant productivity gains and additional use cases by transitioning from MapReduce to Apache Spark.

Thanks to such advances in the ecosystem,

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What’s Next for Impala: More Reliability, Usability, and Performance at Even Greater Scale

Categories: Impala

This year will close out with new features for reliability, usability, and nested types, and in 2016, performance-related enhancements promise >20x gains.

It’s been roughly a year since we provided an update about the Impala roadmap. During that time, a number of milestones have been reached:

  • Most Cloudera customers have deployed Impala to production across industries including financial services, retail, healthcare, gaming, government, advertising, and telecom.

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