Systems | Development | Analytics | API | Testing

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Meeting SLAs for Data Pipelines on Amazon EMR With Unravel

A household name in global media analytics – let’s call them MTI – is using Unravel to support their data operations (DataOps) on Amazon EMR to establish and protect their internal service level agreements (SLAs) and get the most out of their Spark applications and pipelines. Amazon EMR was an easy choice for MTI as the platform to run all their analytics. To start with, getting up and running is simple. There is nothing to install, no configuration required etc.

Generating a Heat Map with Twitter data using Pipeline Designer - Part 1

For me, the most exciting thing about Pipeline Designer is the way that it makes working with streaming data easy. Traditionally this has required a completely different way of thinking if you have come from a "batch" world. So when Pipeline Designer was released, the first thing I wanted to do was to find a good streaming data source and do something fun and interesting with the data. Twitter was my first choice of streaming data.

Making Data Work With the Unravel Partner Program

Modern data apps are increasingly going to the cloud due to their elastic compute demands, skills shortages and the complexity of managing big data on premises. And while more and more organizations are taking their data apps to the cloud to leverage its flexibility, they’re also finding that it is very challenging to assess application needs and how to migrate and optimize their data to ensure performance and cost targets are not compromised.

How to Unlock Your SAP Data Potential for Accelerated Analytics - Part 1

Many SAP customers have been running SAP on premise for decades and have struggled to harness the full potential of their business processes data running inside of SAP along with other enterprise and external data to gain augmented insight and become more agile in this digital era where everything keeps on moving at an exponential pace with no sign of slowing down.