The document discusses graph databases and their properties. Graph databases are structured to store graph-based data by using nodes and edges to represent entities and their relationships. They are well-suited for applications with complex relationships between entities that can be modeled as graphs, such as social networks. Key graph database technologies mentioned include Neo4j, OrientDB, and TinkerPop which provides graph traversal capabilities.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
16. *Facebook Flickr
lives_in
is is is
follow
lives_in
friend is
share *
friend share follow follow
is
[ ] lives_in
Undirected Directed
is is
is
lives_in
19. Multi-Relational
*Facebook Flickr
lives_in
has has
has
follow
lives_in
friend has
share *
has friend share follow
lives_in
[Multi-Relatinal Graph]
has has has
lives_in
20. Property Graph
Property Graph
Multi-Relational Graph (Property)
Graph DB Graph
1
key/value
id id_A follow id id_B
follow 100 follow 500
follower 200 date 2011/01/23 follower 1000
22. Property Graph
name doryokujin
sex man
lives_in birth 1985/05/14
has has id id_B
follow follow 1000
follower 2000
lives_in date 2011/01/23
friend has
friend
date 2011/01/23
has friend follow follow
date 2010/03/23 date 2011/01/23
name full name
mail xxx@yyy
address zzz
lives_in
id id_A
follow 100
follower 200
has has
date 2010/03/23
lives_in
27. Graph DB
[ DB ≠ Graph DB]
Graph
DB
DB Graph DB
28. RDB Graph
[Relatinal Database] A
outV inV
A B B C
A C
C D
D
D A
29. Document DB Graph
[Document Database] A
{
A : {
out : [B, C], in : [D]
}
B : {
in : [A] B C
}
C : {
out : [D], in : [A]
}
D : {
out : [A], in : [C] D
}
}
30. XML DB Graph
[XML Database] A
<graphml>
<graph>
<node id=A />
<node id=B /> B C
<node id=C />
<edge source=A target=B />
<edge source=A target=C />
<edge source=C target=D />
<edge source=D target=A />
</graph> D
</graphml>
31. Graph DB
[ ]
“A graph database is any storage system
that provides index-free adjacency”
The Graph Traversal Programming Pattern
(“adjacent”)
( “index-free” )
32. Non-Graph DB and
Index-Based Adjacency
B E
1. A
3. (B,C)
A
A B C
B, C E D, E
D E
2.
C D
log_2(n) (B,C)
time cost
33. Graph DB and
Index-Free Adjacency
‣
”Mini - Index”
B E
‣
1.
1 A
(B,C)
‣
C D
id id_B
follow 1000
follower 2000
64. Graph DB
[ ]
Graph DB
Neo4j
Open Source Social Graph Software Not Ready Yet
Graph DB
Hypergtaph: PropertyGraph HyperGraph
Pregel: bulk synchronous parallel model Distributed DB
Google
FlockDB: Distributed DB for storing adjancency lists Twitter
65. Tinker Pop
Graph
Graph
Graph DB
Graph Traversal
Graph DB
Neo4j, Sones, InfoGrid, OrientDB, InfiniteGraph
Tinker Pop
Gremlin, Blueprints, Pipes, Rexster, Mutant
67. Tinker Pop
[Tinker Pop] HP
Property Graph Model
GraphDB
Blueprints: A Property Graph Model Interface
Gremlin: A Graph Traversal Language
Pipes: A Data Flow Framework using Process Graphs
Rexster: A RESTful Graph Shell
Mutant: A Poly-ScriptEngine ScriptEngine
81. Pipes
[ ] HP
Pipes = Data Flow Framework
Pipes Graph Traversal 1 1
Pipes filtering, splitting, merging, traversing,...
82. Gremlin
g:id-v('a')/outE[@label='knows']/inV/outE[@label='develops']/inV/@name
Pipe pipe1 = new VertexEdgePipe(Step.OUT_EDGES);
Pipe pipe2 = new LabelFilterPipe("knows", Filter.NOT_EQUALS);
Pipe pipe3 = new EdgeVertexPipe(Step.IN_VERTEX);
Pipe pipe4 = new VertexEdgePipe(Step.OUT_EDGES);
Pipe pipe5 = new LabelFilterPipe("develops",
Filter.NOT_EQUALS);
Pipe pipe6 = new EdgeVertexPipe(Step.IN_VERTEX);
Pipe pipe7 = new PropertyPipe("name");
Pipe pipeline = new Pipeline
(pipe1,pipe2,pipe3,pipe4,pipe5,pipe6,pipe7);
pipeline.setStarts(new SingleIterator(graph.getVertex("a"));
for(String name : pipeline) {
System.out.println(name);
} A Graph Processing Stack
83. Pipes
Pipes
public
class
NumCharsPipe
extends
AbstractPipe<String,Integer>
{
public
Integer
processNextStart()
{
String
word
=
this.starts.next();
return
word.length();
}
} A Graph Processing Stack