Data Breaking Bad at Berlin Buzzwords

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MapR Technologies

Talk given by Michael Hausenblas - Chief Data Engineer EMEA at MapR Technologies. Berlin Buzzwords 2013, Open Stage Talk

Da
Michael Hausenblas, MapRTechnologies
Berlin Buzzwords 2013, Open StageTalk
Friday, 7 June 13

Nope. Not this one.
Friday, 7 June 13

Friday, 7 June 13

things you
can inﬂuence
things that
affect you
try and focus on this stuff
Friday, 7 June 13

The awkward moment when I open the data I got from a customer
Friday, 7 June 13

http://techcrunch.com/2012/11/25/the-big-data-fallacy-data-%E2%89%A0-information-%E2%89%A0-insights/
aka crap in, crap out
Friday, 7 June 13

Some examples …
Friday, 7 June 13

• Encöding hell
• Schema? Sure, I fax you a screenshot
• Dupes and other fakes
• Sampling
Friday, 7 June 13

Encöding hell
application-speciﬁc encodings
• URL encoding
• HTML encoding
• Database escaping
non-ASCII?
a%20percent-encoded%20string%20as%20of%20RFC%203986
a <strong>HTML</strong> encoded string
Friday, 7 June 13

• Use Unicode
• Use Unicode
• Use Unicode
Encöding hell
http://www.swedishﬁka.com/2010/01/19/escaping-from-encoding-hell/
Friday, 7 June 13

• Encöding hell
• Schema? Sure, I fax you a screenshot
• Dupes and other fakes
• Sampling
Friday, 7 June 13

Schema? Sure, I fax you
a screenshot
Friday, 7 June 13

Schema? Sure, I fax you
a screenshot
• There is a need for proper, formal
documentation
• For humans and machines
• Basis for validation—automate!
Friday, 7 June 13

• Encöding hell
• Schema? Sure, I fax you a screenshot
• Dupes and other fakes
• Sampling
Friday, 7 June 13

Dupes and other fakes
Friday, 7 June 13

Dupes and other fakes
Friday, 7 June 13

Dupes and other fakes
• Use plots to get an overview
• Watch out for outliers
• Try to establish source for errors and ﬁx
• Document (in any case)
Friday, 7 June 13

• Encöding hell
• Schema? Sure, I fax you a screenshot
• Dupes and other fakes
• Sampling
Friday, 7 June 13

• My data is too big. I can’t check it all.
• Why don’t you sample, then?
Sampling
Friday, 7 June 13

http://mortardata.com/
Friday, 7 June 13

Friday, 7 June 13

Goandbuythisbook.Now.
Friday, 7 June 13

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GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

This presentation explores the impact of HTML injection attacks on web applications, detailing how attackers exploit vulnerabilities to inject malicious code into web pages. Learn about the potential consequences of such attacks and discover effective mitigation strategies to protect your web applications from HTML injection vulnerabilities. for more information visit https://bostoninstituteofanalytics.org/category/cyber-security-ethical-hacking/

HTML Injection Attacks: Impact and Mitigation Strategies

HTML Injection Attacks: Impact and Mitigation Strategies

HTML Injection Attacks: Impact and Mitigation Strategies

Boston Institute of Analytics

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

A Domino Admins Adventures (Engage 2024)

A Domino Admins Adventures (Engage 2024)

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

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From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

HTML Injection Attacks: Impact and Mitigation Strategies

HTML Injection Attacks: Impact and Mitigation Strategies

HTML Injection Attacks: Impact and Mitigation Strategies

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

A Domino Admins Adventures (Engage 2024)

A Domino Admins Adventures (Engage 2024)

A Domino Admins Adventures (Engage 2024)

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Data Breaking Bad at Berlin Buzzwords

1. Da Michael Hausenblas, MapRTechnologies Berlin Buzzwords 2013, Open StageTalk Friday, 7 June 13

2. Nope. Not this one. Friday, 7 June 13

3. Friday, 7 June 13

4. things you can inﬂuence things that affect you try and focus on this stuff Friday, 7 June 13

5. The awkward moment when I open the data I got from a customer Friday, 7 June 13

6. http://techcrunch.com/2012/11/25/the-big-data-fallacy-data-%E2%89%A0-information-%E2%89%A0-insights/ aka crap in, crap out Friday, 7 June 13

7. Some examples … Friday, 7 June 13

8. • Encöding hell • Schema? Sure, I fax you a screenshot • Dupes and other fakes • Sampling Friday, 7 June 13

9. Encöding hell application-speciﬁc encodings • URL encoding • HTML encoding • Database escaping non-ASCII? a%20percent-encoded%20string%20as%20of%20RFC%203986 a <strong>HTML</strong> encoded string Friday, 7 June 13

10. • Use Unicode • Use Unicode • Use Unicode Encöding hell http://www.swedishﬁka.com/2010/01/19/escaping-from-encoding-hell/ Friday, 7 June 13

11. • Encöding hell • Schema? Sure, I fax you a screenshot • Dupes and other fakes • Sampling Friday, 7 June 13

12. Schema? Sure, I fax you a screenshot Friday, 7 June 13

13. Schema? Sure, I fax you a screenshot • There is a need for proper, formal documentation • For humans and machines • Basis for validation—automate! Friday, 7 June 13

14. • Encöding hell • Schema? Sure, I fax you a screenshot • Dupes and other fakes • Sampling Friday, 7 June 13

15. Dupes and other fakes Friday, 7 June 13

16. Dupes and other fakes Friday, 7 June 13

17. Dupes and other fakes • Use plots to get an overview • Watch out for outliers • Try to establish source for errors and ﬁx • Document (in any case) Friday, 7 June 13

18. • Encöding hell • Schema? Sure, I fax you a screenshot • Dupes and other fakes • Sampling Friday, 7 June 13

19. • My data is too big. I can’t check it all. • Why don’t you sample, then? Sampling Friday, 7 June 13

20. http://mortardata.com/ Friday, 7 June 13

21. Friday, 7 June 13

22. Goandbuythisbook.Now. Friday, 7 June 13