Dataconomy
  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
Subscribe
No Result
View All Result
Dataconomy
  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
Subscribe
No Result
View All Result
Dataconomy
No Result
View All Result

“10% inspiration, 90% perspiration” – Interview with Splunk’s Philipp Drieger

by Elena Poughia
May 30, 2016
in Conversations
Home Conversations
Share on FacebookShare on TwitterShare on LinkedInShare on WhatsAppShare on e-mail

driegerPhilipp works as a Sales Engineer at Splunk. His background is in data visualization and analytics with experience in automotive, transportation and software industries. Philipp’s focus is to leverage Splunk as a data platform for analytics and visualization. He recently won the Deutsche Bahn Hackathon analyzing a 10GB data set around railway infrastructure in 24h (read more: http://blogs.splunk.com/2015/06/08/splunk-team-wins-db-infrastructure-data-challenge-in-24h-iot-hackathon/). In collaboration with Robotron Philipp is working on data mining approaches for the IoT and industrial data to optimize business processes.

We are proud to have Philipp presenting at Data Natives 2015!


Table of Contents

  • Can you describe your professional journey up to the point of joining Splunk?
  • What kind of problems do you aim to solve as a Sales Engineer at Splunk?
  • How has the field of business intelligence evolved over the last few years with the rise of ‘Big Data’?
  • If you could apply the technology being developed at Splunk to any real world problem, which would it be and why?
  • What are the key lessons you’ve learned in your career? Biggest ‘Ah ha!’ moments or mistakes?
  • What advice would you give to technically minded youths looking to get their career started?
  • Which companies individuals inspire you, and keep you motivated to achieve great things?

Can you describe your professional journey up to the point of joining Splunk?

First of all thanks for this interview and I’m looking forward to Data Natives 2015! Before Splunk I worked as a freelance software developer and consultant on many interesting projects – mainly in the automotive and transportation industries. I was focused on real-time 3D visualization to make heterogeneous data accessible and meaningful – regardless of whether it’s car data or complex infrastructure planning projects. As well as that I was researching visual text analytics and published two papers. For the creative part I’ve been active in digital arts for years and realized many audiovisual and interactive art projects like http://www.cubeflow.de.

What kind of problems do you aim to solve as a Sales Engineer at Splunk?

With the variety of ways that Splunk software is used by our customers, I deal with many interesting and different use cases covering IT operations, security, application delivery and business analytics. Recently I’m working on more and more projects in the area of industrial data and the Internet of Things.


Join the Partisia Blockchain Hackathon, design the future, gain new skills, and win!


How has the field of business intelligence evolved over the last few years with the rise of ‘Big Data’?

I think there is a continued shift in BI since the rise of ‘Big Data’ as new data sources and types following the ‘four v’s’ principle (volume, variety, velocity and veracity) come into play and add substantial value to existing data. Technically, it can be challenging to get insights from such a changing data landscape quickly. This is where Splunk makes the difference: as a universal platform for machine data Splunk provides this flexibility due to late binding and a powerful search language to correlate and analyze heterogeneous data at large scale – including both real-time and historical information.

If you could apply the technology being developed at Splunk to any real world problem, which would it be and why?

That’s a funny question because in fact all the technology developed at Splunk is used to tackle real world problems: to prevent and detect cyber threats and fraud, proactively monitor IT infrastructures to find and fix errors quickly, analyze and visualize business processes, machine data and sensor data to get new insights. For Example Splunk software is used at the Police station in Chandler, in the USA: They evaluate data to support officers on patrol and monitor problematic neighborhoods. And the IT departments of financial institutions use the software to secure online payments.

What are the key lessons you’ve learned in your career? Biggest ‘Ah ha!’ moments or mistakes?

Expressing it for a real data native: It’s about 10% inspiration and 90% perspiration. If you want to achieve 100% you need to combine 90% and 10% wisely.

What advice would you give to technically minded youths looking to get their career started?

Keep an open mind and learn about different technologies to connect the dots.

Which companies individuals inspire you, and keep you motivated to achieve great things?

There have been many companies and individuals that inspired me in different parts of my career, but one of my great inspirations is people in history: philosophers, inventors, artists. Right now I enjoy working with brilliant people here at Splunk.

Tags: Business IntelligenceData Natives 2015Philip Driegersplunk

Related Posts

Chris Latimer tells how to use real-time data to scale and perform better

Chris Latimer tells how to use real-time data to scale and perform better

April 13, 2022
Ken Jee explains how to build a career as a data scientist

Ken Jee explains how to build a career as a data scientist

March 22, 2022
Transparency and data income plans

In conversation: the Chaos Computer Club, transparency, and data income plans

January 13, 2022
DataRobot AI

DataRobot CEO calls for ‘a new era of democratization of AI’

March 26, 2021
Where Data Scientist Salaries are Headed in 2021

Where Data Scientist Salaries are Headed in 2021

January 12, 2021
Food Delivery Via Drones: A Reality in Iceland

Food Delivery Via Drones: A Reality in Iceland

May 9, 2018

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

LATEST ARTICLES

Cyberpsychology: The psychological underpinnings of cybersecurity risks

ChatGPT Plus: How does the paid version work?

AI Text Classifier: OpenAI’s ChatGPT detector indicates AI-generated text

A journey worth taking: Shifting from BPM to DPA

BuzzFeed ChatGPT integration: Buzzfeed stock surges after the OpenAI deal

Adversarial machine learning 101: A new cybersecurity frontier

Dataconomy

COPYRIGHT © DATACONOMY MEDIA GMBH, ALL RIGHTS RESERVED.

  • About
  • Imprint
  • Contact
  • Legal & Privacy
  • Partnership
  • Writers wanted

Follow Us

  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
No Result
View All Result
Subscribe

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy Policy.