Cloudera

OCTOBER 25, 2017

Our lives continue to become connected, just look at your phone in your pocket. If you have an iPhone 6, for example, you are walking around with a connected device that has nine sensors in it. Nine sensors that are constantly collecting data about you. If you are an Amazon Prime user, chances are you’ve heard of an Amazon Dash Button that connects your Amazon account for 1-click shopping for those “hard to live without” items.

Manufacturing 40

Manufacturing Technology Data IT 40

Zalando Engineering

OCTOBER 25, 2017

At Zalando we’ve created Nakadi , a distributed event bus that implements a RESTful API abstraction on top of Kafka-like queues. It helps to provide an available, durable, and fault tolerant publish/subscribe messaging system for simple microservices communication. A Kafka cluster is able to grow to a huge amount of data stored on the disks. Hosting Kafka requires support of instance termination (on purpose or just because the “cloud provider” decided to terminate the instance), which in our cas

AWS 40

AWS Kafka Cloud Python 40

Cloudera

OCTOBER 23, 2017

Your enterprise big data and machine learning initiatives can be delayed, fail, or risk security breach unless you choose the most mature, most tightly integrated platform. The good news is that enterprise big data and machine learning initiatives will benefit from increased agility and decreased risk with the recent release of CDH 5.13. One primary goal was making multi-disciplinary analytics workloads run smoothly and efficiently in the cloud when backed by our new Shared Data Experience.

Machine Learning 40

Machine Learning Big Data Portfolio Data Science 40

Zalando Engineering

OCTOBER 23, 2017

Fashion meets tech in our Dublin hub At the Fashion Insights Centre in Dublin, one of the core tech products being developed is the Smart Product Platform (SPP). The fashion products we sell are the fundamental building blocks of what we do as a business. How to manage and represent these products and their associated data in today's competitive fashion marketplace is challenging.

Media 40

Media Manufacturing Data Ingestion Metadata 40

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Cloudera

OCTOBER 26, 2017

Published originally on O’Reilly.com. Become more agile with business intelligence and data analytics. Clouds (source: Pexels ). Check out Greg Rahn’s session, “ Rethinking data marts in the cloud: Common architectural patterns for analytics ” at the Strata Data Conference in Singapore, December 4-7, 2017, to learn how to architect analytic workloads in the cloud and the core elements of data governance.

Cloud 43

Cloud BI Cloud Storage Business Intelligence 43