Win a full pass to Big Data Analytics 2013, London, June 20!

Win a full pass to Big Data Analytics 2013, London, June 20!

Know about tricky things when planning or implementing Big Data projects? Learned by your own experience why big data projects fail?

Tweet about the mistakes you came across and we will grant a full pass (of £595 plus VAT value) to those who who tell about the trickiest issues! Or you can fill in the form below here!
The winners will be announced on Tuesday, June 11th.

To tweet please mention @Altoros and #BDA

Big Data Analytics 2013 is the UK’s largest and most prestigious cross-industry event for the Large Enterprise Sector, that will bring together CEO’s, Chief Marketing Officers, Chief Financial Officers, Business Directors, Heads of BI and Chief Data Scientists to discuss how to find opportunities in Big Data Streams with advanced analytics. Big Data Analytics 2013 is an event geared towards senior business leaders or large corporations who wish to leverage the opportunities that big data can bring to their business and technology leaders who approve or recommend analytical systems and solutions that run against large data sets, and are planning an analytical project in the next 12 months.

At the conference, Altoros team will share real-life experience of implementing a big data project, tricky things to know and hidden traps to avoid.

To show the expected performance, data intensive solutions require an optimized infrastructure, fast data processing, and scalable storage. All these prerequisites mean significant investment into hardware and software. Sometimes at the end of the project, companies may realize they have made a wrong choice and have to start from scratch again, looking for data migration tools or whatever. This results in missed deadlines and exceeded budget.

Altoros will give an insight on how to select the most suitable infrastructure, database, as well as data processing, analysis, and visualization tools to drive your project.

Attendees will learn:

  • Seven common mistakes Enterprises make when launching a Big Data project
  • How to cut your Enterprise infrastructure costs with Big Data Prototype: tips and tricks
  • How to select a vendor or a solution that meets the specific requirements of your Big Data project

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