Big Data and Data Science for traditional Swiss companies

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This talk was held at the 10th meeting on February 3rd 2014 by Daniel Fasel. Many traditional Swiss companies, such as banks, insurance companies and government agencies, are highly interested in Big Data and Data Science but don’t know exactly what the business value of Big Data is for them. Often Big Data is misinterpreted as large amounts of data and companies are unaware of the innovation behind the new technologies of Big Data and how these technologies can be profitable to them. In this presentation, I discuss sample cases that demonstrate a set of these new technologies and how they can be applied not only for large web scale data but also for data sets of traditional companies. First, I demonstrate how multi-structured data can be indexed and searched using Autonomy. I show how fast new analytical application can be built based on a real-time streaming example using STORM, Redis and Node.js. And the last demonstration shows how machine learning algorithms and visualization can be applied for improving analytics using AsterData.

Tecnología Empresariales

Scigility!
Scire propter agere!

Big Data and Data Science for
traditional Swiss companies!
Dr. Daniel Fasel!
Scigility AG !
www.scigility.com!

Who are we?!
–  Dr. Daniel Fasel has been the ﬁrst data scientist on the
business intelligence team at Swisscom and was key in
implementing NoSQL technologies for explorative analytics
during his time at Swisscom!
!
–  Prof. Dr. Philippe Cudré-Mauroux is the director of the
eXascale Infolab and Professor at the University of Fribourg
in Switzerland. Previously, he was a postdoctoral associate
working in the Database Systems group at MIT. He also
worked on distributed information and media management for
HP, IBM Watson Research (NY), and Microsoft Research
Asia.!

www.scigility.com

2!

Our services!
•  We provide consulting, software
development, operations and training in the
areas of large-scale information systems,
NoSQL technologies and real time streaming
solutions. Technologies commonly known as
Big Data.!
•  We provide the optimal solution to your
speciﬁc IT problems, based on the latest and
most appropriate technologies available!!
www.scigility.com

3!

Content!
•  Short overview of Big Data!
•  Techniques & Technologies!
•  3 Demonstrations how to use these new
Techniques and Technologies!

www.scigility.com

4!

Big Data!
•  Big – Volume!
–  Big is relative!
•  Google > 400PB !
•  Traditional Swiss companies < 400 PB ;-)!

–  But Big Data (Volume) is a fact!
•  Data constantly grow!
•  More and more systems produce data!
•  Classical relational schemas already do a pre-selection
of data!
•  There is more interesting data in your company than
you potentially assume (dark data on Intranet or File
Shares, application silos, etc.)!
www.scigility.com

5!

Big Data!
•  Variety!
–  Multi-structured data!

www.scigility.com

6!

Big Data!
•  Variety!
–  Structures change over time!
•  Think about your legacy system!

–  The structure of data is determined at the time
on analysis and not at the time of storing!
•  Schema on purpose / schema on read!

–  Combination of classical and new data
sources!

7!

Big Data!
•  Velocity!
–  Data is produced faster!
–  Data becomes more and more ephemeral!
–  Analytics gets real time!
–  Data ﬂows are as interesting as data itself!

www.scigility.com

8!

Big Data!
•  What is the innovation of Big Data?!
•  The real new innovations of Big Data are!
–  optimized techniques and technologies!
–  that address the speciﬁc characteristics which
are commonly summarized as Big Data!

•  Big Data is not a new kind of data!!
–  You all have Big Data! !

www.scigility.com

9!

Techniques!
•  New techniques!
–  MapReduce for analysis of highly distributed
data!
–  Combination of linear algebra, statistics,
computer science, visualization for broader
users groups!
–  Improved agility and rapid prototyping!
–  Explorative analytics!

www.scigility.com

10!

Technologies!
•  New technologies!
–  Massive horizontal scalable / elastic!
–  Optimized for speciﬁc types of problems!
–  Not necessarily ACID compliant!
–  Follow BASE & CAP concepts!
–  Integration and combination of classical and
new technologies (like SQL-MR)!

www.scigility.com

11!

Demonstration 1!
•  Indexing and search on multi-structured
data with Autonomy!

www.scigility.com

12!

Demonstration 2!
•  Real Time Streaming with Storm!
STORM
Spout
Twitter

Redis

Node.js /
Socket.io

Bolt

www.scigility.com

13!

Demonstration 3!
•  Collaborative ﬁltering, path analysis and
visualization with AsterData!

www.scigility.com

14!

Thank you!!
•  Questions?!
•  You can contact us:!
–  Tel.: +41 79 202 47 89!
–  df@scigility.com!
–  www.scigility.com!

!

www.scigility.com

15!

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AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.

Corporate and higher education May webinar.pptx

Rustici Software

The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The value of a flexible API Management solution for O...

apidays

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

panagenda

Six Myths about Ontologies: The Basics of Formal Ontology

johnbeverley2021

Dubai, often portrayed as a shimmering oasis in the desert, faces its own set of challenges, including the occasional threat of flooding. Despite its reputation for opulence and modernity, the emirate is not immune to the forces of nature. In recent years, Dubai has experienced sporadic but significant floods, testing the resilience of its infrastructure and communities. Among the critical lifelines in this bustling metropolis is the Dubai International Airport, a bustling hub that connects the city to the world. This article explores the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...

Orbitshub

ICT role in 21st century education and its challenges

rafiqahmad00786416

In this keynote, Asanka Abeysinghe, CTO,WSO2 will explore the shift towards platformless technology ecosystems and their importance in driving digital adaptability and innovation. We will discuss strategies for leveraging decentralized architectures and integrating diverse technologies, with a focus on building resilient, flexible, and future-ready IT infrastructures. We will also highlight WSO2's roadmap, emphasizing our commitment to supporting this transformative journey with our evolving product suite.

Platformless Horizons for Digital Adaptability

WSO2

Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...

Jeffrey Haguewood

Big Data and Data Science for traditional Swiss companies

1. Scigility! Scire propter agere! Big Data and Data Science for traditional Swiss companies! Dr. Daniel Fasel! Scigility AG ! www.scigility.com!

2. Who are we?! –  Dr. Daniel Fasel has been the ﬁrst data scientist on the business intelligence team at Swisscom and was key in implementing NoSQL technologies for explorative analytics during his time at Swisscom! ! –  Prof. Dr. Philippe Cudré-Mauroux is the director of the eXascale Infolab and Professor at the University of Fribourg in Switzerland. Previously, he was a postdoctoral associate working in the Database Systems group at MIT. He also worked on distributed information and media management for HP, IBM Watson Research (NY), and Microsoft Research Asia.! www.scigility.com 2!

3. Our services! •  We provide consulting, software development, operations and training in the areas of large-scale information systems, NoSQL technologies and real time streaming solutions. Technologies commonly known as Big Data.! •  We provide the optimal solution to your speciﬁc IT problems, based on the latest and most appropriate technologies available!! www.scigility.com 3!

4. Content! •  Short overview of Big Data! •  Techniques & Technologies! •  3 Demonstrations how to use these new Techniques and Technologies! www.scigility.com 4!

5. Big Data! •  Big – Volume! –  Big is relative! •  Google > 400PB ! •  Traditional Swiss companies < 400 PB ;-)! –  But Big Data (Volume) is a fact! •  Data constantly grow! •  More and more systems produce data! •  Classical relational schemas already do a pre-selection of data! •  There is more interesting data in your company than you potentially assume (dark data on Intranet or File Shares, application silos, etc.)! www.scigility.com 5!

6. Big Data! •  Variety! –  Multi-structured data! www.scigility.com 6!

7. Big Data! •  Variety! –  Structures change over time! •  Think about your legacy system! –  The structure of data is determined at the time on analysis and not at the time of storing! •  Schema on purpose / schema on read! –  Combination of classical and new data sources! 7!

8. Big Data! •  Velocity! –  Data is produced faster! –  Data becomes more and more ephemeral! –  Analytics gets real time! –  Data ﬂows are as interesting as data itself! www.scigility.com 8!

9. Big Data! •  What is the innovation of Big Data?! •  The real new innovations of Big Data are! –  optimized techniques and technologies! –  that address the speciﬁc characteristics which are commonly summarized as Big Data! •  Big Data is not a new kind of data!! –  You all have Big Data! ! www.scigility.com 9!

10. Techniques! •  New techniques! –  MapReduce for analysis of highly distributed data! –  Combination of linear algebra, statistics, computer science, visualization for broader users groups! –  Improved agility and rapid prototyping! –  Explorative analytics! www.scigility.com 10!

11. Technologies! •  New technologies! –  Massive horizontal scalable / elastic! –  Optimized for speciﬁc types of problems! –  Not necessarily ACID compliant! –  Follow BASE & CAP concepts! –  Integration and combination of classical and new technologies (like SQL-MR)! www.scigility.com 11!

12. Demonstration 1! •  Indexing and search on multi-structured data with Autonomy! www.scigility.com 12!

13. Demonstration 2! •  Real Time Streaming with Storm! STORM Spout Twitter Redis Node.js / Socket.io Bolt www.scigility.com 13!

14. Demonstration 3! •  Collaborative ﬁltering, path analysis and visualization with AsterData! www.scigility.com 14!

15. Thank you!! •  Questions?! •  You can contact us:! –  Tel.: +41 79 202 47 89! –  df@scigility.com! –  www.scigility.com! ! www.scigility.com 15!

Big Data and Data Science for traditional Swiss companies

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