Canonical
on 9 November 2018
Making sense of your big data
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This article was last updated 5 year s ago.
Canonical and Spicule have joined forces to bring your business a better option for open source big data and streaming analytics.
You can learn more about us at some of our upcoming events – read on to find out more.
Or, jump right in and get started using JAAS to deploy a fully supported Hadoop stack for interactive SQL based analytics.
Organisations have massive amounts of valuable data at their fingertips. The challenge is how to operationalise, analyse and gain insights from that data that can mean big advantages for your business in terms of:
- Increased revenue
- Efficiencies in modeling, processing, automation, deployment, and
- Informing decisions about operations and performance
Ubuntu is the platform of choice for these ambitions, working in partnership with companies such as Spicule. Together, we bring easy-to-use, customisable, flexible data platforms developed by Juju experts, and the expertise and efficiency on any cloud that solves for the complexities of big software.
Using Juju as a service (JaaS), users have the ability to spin up complex applications onto different platforms. Combine this with Anssr from Spicule, the software needed to manage data, and we level the competitive playing field for companies looking to configure, scale and install data-based solutions.
If you want to get started and see what it’s all about, check out our tutorial which walks you step-by-step through building and deploying a model.
We also invite you to join us at Big Data London November 13-14 at stand 272, where we will be available to talk about building a powerful data-driven future, along with demoing Apache Hadoop, Apache Druid, Apache Superset and Apache Kafka.
Last, you can join us for our webinar on December 11th, where we’ll talk about how you can take advantage of the functionality, flexibility and business advantages that a big data program can afford you.
Check out more about the relationship here, and we look forward to meeting you.
