FluidDB is an openly writable hosted service for storing, sharing, searching and annotating data. Data is stored as objects which are tagged with information. Tags must be defined before being attached to objects and are organized into namespaces. Objects can represent any real-world thing and be tagged by different users and applications to add contextual data. Tags can contain various data types like text, numbers, dates or images.
An Introduction To FluidDB - a social database in the cloudNicholas Tollervey
Introductory material that answers the what, why and how questions relating to FluidDB (a new cloud-based database that simplifies creating, sharing, annotating and reusing information).
An Introduction To FluidDB - a social database in the cloudNicholas Tollervey
Introductory material that answers the what, why and how questions relating to FluidDB (a new cloud-based database that simplifies creating, sharing, annotating and reusing information).
This is a presentation I gave to a recent NortHACKton meeting. The audience were a mixture of seasoned developers who were new to Python and complete newbies who'd never coded anything before.
In the end everyone created a Parrot class and did a show and tell of their code to the rest of the group.
Find out about NortHACKton here: http://northackton.stdin.co.uk/blog/
From Territorial Peoples toward a Global Agreementalianzabosques
Global proposal for the 2014 UN Climate Summit by indigenous peoples that hold influence over 85% of the World’s Tropical Forests Amazon Basin, Mesoamerica, Congo Basin, Pacific and Southeast Asia
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
This is a presentation I gave to a recent NortHACKton meeting. The audience were a mixture of seasoned developers who were new to Python and complete newbies who'd never coded anything before.
In the end everyone created a Parrot class and did a show and tell of their code to the rest of the group.
Find out about NortHACKton here: http://northackton.stdin.co.uk/blog/
From Territorial Peoples toward a Global Agreementalianzabosques
Global proposal for the 2014 UN Climate Summit by indigenous peoples that hold influence over 85% of the World’s Tropical Forests Amazon Basin, Mesoamerica, Congo Basin, Pacific and Southeast Asia
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
FluidDB in a Nutshell
1. FluidDB
in a
Nutshell
http://www.flickr.com/photos/max78/104677840/
2. FluidDB is an openly
writable hosted service
for storing, sharing,
searching and annotating
data.
While this is accurate, it’s not the whole story...
3. Key Concepts
• Objects - represent things*
• Tags - define objects’ attributes
• Namespaces - organise tags
• Permissions - control access
* Not in the object oriented sense of “object”.
5. Namespaces/tags
ntoll/rating
terrycojones/books/review
amazon.com/book/title
amazon.com/book/author
amazon.com/book/isbn
esteve/books/cover
timoreilly/has_read
Tags must be defined before being attached to objects. Every user, application or client starts
with a namespace named after their username. Users whose username is a domain name
must own the domain in question (so only Amazon could use the namespace amazon.com).
Every namespace and tag is itself represented by an object (facilitating meta-tagging).
6. Objects (in FluidDB)
represent things
Every object has a unique ID
about = An id =
“book: Dune” object “e127475b-eb93-48e1-a24f-dde6825b9ed8”
The unique “about” tag is optional and used to
identify what the object represents
A conceptual view of an object. Remember the “about” tag is special, optional and unique.
7. r=
ove
/c
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oo
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ve/
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am
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“87 om/b
- 41 o
=
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517 sbn
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- 6” =
about = An id =
“book:Dune” object “e127475b-eb93-48e1-a24f-
= am
az
v iew on
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r=
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om
ok rm
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Different users tag data to the object. Their data is given a context by being attached to the
same object.
8. r=
ove
/c
ks
oo
ntoll/
Numbers ve/
b
te
es
rating
am
azo
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om
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=
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5
6 = Images
about = An id =
“book:Dune” object “e127475b-eb93-48e1-a24f-
= am
az
v iew on
/re s”
r=
timoreill
s .c
om
ok rm
er tho
/bo wo “D /bo
nes and un ok
1973/08
erb s/au
ojo ve s e” s/t
t”
it
ryc I lo
y/has_re
k H ok
le
ter “ =
ran /bo
/19
“F om
n.c
ad =
azo
Text Date/Time
am
The values can be of a primitive (searchable) type: numbers, text, booleans etc... OR an
opaque type: images, audio, video or any other sort of data.
9. r=
ove
/c
ks
oo
ntoll/
b
ve/
te
es
rating
am
azo
n.c
“87 om/b
- 41 o
=
8-7 oks/i
517 sbn
5
- 6” =
about = An id =
“book:Dune” object “e127475b-eb93-48e1-a24f-
= am
az
v iew on
/re s”
r=
timoreill
s .c
om
ok rm
er tho
/bo wo “D /bo
nes and un ok
1973/08
erb s/au
ojo ve s e” s/t
t”
it
ryc I lo
y/has_re
k H ok
le
ter “ =
ran /bo
/19
“F om
n.c
ad =
azo
am
What about data control/privacy..? Permissions are usually applied to the “thing” of interest.
But Fluidinfo wants to make FluidDB openly writeable. So we do something different...
10. r=
ove
/c
ks
oo
ntoll/
b
ve/
te
es
rating
am
azo
n.c
“87 om/b
- 41 o
=
8-7 oks/i
517 sbn
5
- 6” =
about = An id =
“book:Dune” object “e127475b-eb93-48e1-a24f-
= am
az
v iew on
/re s”
r=
timoreill
s .c
om
ok rm
er tho
/bo wo “D /bo
nes and un ok
1973/08
erb s/au
ojo ve s e” s/t
t”
it
ryc I lo
y/has_re
k H ok
le
ter “ =
ran /bo
/19
“F om
n.c
ad =
azo
am
...we move the location of the permissions...
11. Permissions apply to
namespaces, tags and
values. Users retain
control of their data.
FluidDB stays writable.
Anyone can tag any sort of data to any object. However, users define who can read, create
and change their namespaces, tags and data.
12. FluidDB is the database
with the heart of a wiki
Nivi
http://venturehacks.com/
Sort of... :-) A wiki is openly writable just like FluidDB. But a wiki doesn’t have permissions to
facilitate privacy and ownership, a query language like a database, nor does it have a simple
API for application developers.
13. SELECT self-catering-cottage FROM
WHERE location NEAR pubs SERVING
AND pub HAS rating > 7 IN
It’s currently NOT possible to create queries like this on the web. Data is stored in walled
gardens behind websites. FluidDB is different because data is stored in context (i.e. it’s
tagged to a shared object).
14. FluidDB’s Query Language
• Equality & Inequality: To find objects based on the numeric values or
exact textual values, e.g., tim/rating > 5, or geo/name = "Llandefalle".
• Textual: To find objects based on text matching their tag values, for
example, sally/opinion matches “fantastic”.
• Presence: Use has to request objects that have a given tag. For example,
has sally/opinion.
• Set contents: The contains operator can be used to select objects with a
matching value in a set of strings. The query mary/product-reviews/keywords
contains "kids" would match the object with a tag called /mary/product-
reviews/keywords and value ["cool", "kids", "adventure" ].
• Exclusion: Exclude objects with the except keyword. For example has
nytimes.com/appeared except has james/seen. The except operator
performs a set difference.
• Logic: Query components can be combined with and and or. For example,
has sara/rating and tim/rating > 5.
• Grouping: Parentheses can be used to group query components. For
example, has sara/rating and (tim/rating > 5 or mike/rating > 7).
FluidDB has a simple yet powerful query language (so simple, it fits on this slide). Because
everyone’s data is stored in the context of shared objects it means it’s possible to create
interesting queries using data (for which you have permission to read) from lots of different
sources.
15. Tags attached to the “about:esteve” object.
{“tagPaths”: [
" “twitter.com/username”,
" “twitter.com/fullname”,
" “tunkrank.com/score”,
" “ntoll/met”,
" “terrycojones/met”,
" “python.org/member”,
" “ub.edu/alumni”,
" “ub.edu/bsc”,
" “uoc.edu/msc”,
" ... etc ...
]}
It’s also possible to find information by interrogating an interesting object for all the tags
that are attached to it (that you are allowed to read).
16. A RESTful API
https://fluiddb.fluidinfo.com/objects/OBJECT_ID/NAMESPACE(s)/TAG
HTTP ‘GET’ returns the value,
HTTP ‘PUT’ adds/updates it etc...
Full API: http://api.fluidinfo.com/
FluidDB has an elegant and flexible API for application developers. End users create an
account on FluidDB but use applications to access, update, search and annotate FluidDB.
17. Lots of FOSS client libraries:
http://fluidinfo.com/developers/libs
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http://edventure.com/
http://www.flickr.com/photos/stewtopia/1413191259/
A really good summary.