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The LISP in the Machine
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Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
Enterprise Knowledge
Presented by Mike Hicks
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
ThousandEyes
These are the slides delivered in a workshop at Data Innovation Summit Stockholm April 2024, by Kristof Neys and Jonas El Reweny.
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Neo4j
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Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
vu2urc
This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
wesley chun
Explore the leading Large Language Models (LLMs) and their capabilities with a comprehensive evaluation. Dive into their performance, architecture, and applications to gain insights into the state-of-the-art in natural language processing. Discover which LLM best suits your needs and stay ahead in the world of AI-driven language understanding.
Evaluating the top large language models.pdf
Evaluating the top large language models.pdf
ChristopherTHyatt
I've been in the field of "Cyber Security" in its many incarnations for about 25 years. In that time I've learned some lessons, some the hard way. Here are my slides presented at BSides New Orleans in April 2024.
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Rafal Los
writing some innovation for development and search
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
Antenna Manufacturer Coco
Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
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sammart93
In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Drew Madelung
Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
debabhi2
With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
Principled Technologies
How to get Oracle DBA Job as fresher.
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
Presentation on the progress in the Domino Container community project as delivered at the Engage 2024 conference
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2024: Domino Containers - The Next Step. News from the Domino Container commu...
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Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
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IAC 2024 - IA Fast Track to Search Focused AI Solutions
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Data Cloud, More than a CDP by Matt Robison
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Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
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Powerful Google developer tools for immediate impact! (2023-24 C)
Evaluating the top large language models.pdf
Evaluating the top large language models.pdf
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
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Boost PC performance: How more available memory can improve productivity
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Strategies for Landing an Oracle DBA Job as a Fresher
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2024: Domino Containers - The Next Step. News from the Domino Container commu...
The LISP in the Machine
1.
@jna_sh The LISP in
the Machine
2.
</speaker> @jna_sh @jna_sh
3.
</content> <content> @jna_sh Braintree
4.
</content> <content> @jna_sh Thanks for having
me!
5.
@jna_sh
6.
@jna_sh
7.
</content> <content> @jna_sh A story about
Data at Braintree
8.
</content> <content> @jna_sh Why me?
9.
</content> <content> @jna_sh I’m not a
systems engineer
10.
</content> <content> @jna_sh I don’t write Clojure
11.
</content> <content> @jna_sh I do write Haskell.
12.
</content> <content> @jna_sh …and Node.js
13.
</content> <content> @jna_sh I love cool
tech.
14.
</content> <content> @jna_sh Especially FP.
15.
</content> <content> @jna_sh Braintree = Rails
16.
</content> <content> @jna_sh Go
17.
</content> <content> @jna_sh Haskell!!!1one
18.
</content> <content> @jna_sh Clojure
19.
</content> <content> @jna_sh Payments processor
20.
</content> <content> @jna_sh Uber | AirBnb
| Minecraft
21.
</content> <content> @jna_sh 1 million rides
a day.
22.
</content> <content> @jna_sh Vast amounts of data.
23.
</content> <content> @jna_sh Powered by Clojure
24.
</content> <content> @jna_sh Building a real- time
data pipeline.
25.
@jna_sh
26.
</content> <content> @jna_sh Once upon a
time…
27.
</content> <content> @jna_sh Primary DB
28.
@jna_sh Data Warehouse
29.
</content> <content> @jna_sh Backup / duplication
30.
</content> <content> @jna_sh Source of truth
31.
</content> <content> @jna_sh Low impact to
live transactions.
32.
@jna_sh Amazon Redshift
33.
</content> <content> @jna_sh Batch Processes
34.
</content> <content> @jna_sh updatedAt/createdAT
35.
</content> <content> @jna_sh Batch updates:
36.
</content> <content> @jna_sh Slow.
37.
</content> <content> @jna_sh Unpredictable.
38.
</content> <content> @jna_sh Can’t track deletes.
39.
</content> <content> @jna_sh Missed updates.
40.
</content> <content> @jna_sh Burden of Knowledge
41.
</content> <content> @jna_sh Search
42.
@jna_sh
43.
@jna_sh Architecture Primary DB Batch
process Redshift data warehouse Transaction search
44.
</content> <content> @jna_sh PGQ
45.
@jna_sh Queuing system on top
of Postgres
46.
</content> <content> @jna_sh ACID
47.
</content> <content> @jna_sh Doesn’t block live transactions.
48.
</content> <content> @jna_sh Elasticsearch
49.
</content> <content> @jna_sh Another place to sync
data.
50.
@jna_sh Architecture Primary DB PGQ
Redshift data warehouse Elasticsearch
51.
</content> <content> @jna_sh PGQ prioritises DB integrity
52.
</content> <content> @jna_sh Potential for lost messages.
53.
</content> <content> @jna_sh Redshift & Elasticsearch…
54.
</content> <content> @jna_sh …Fall over quite often.
55.
</content> <content> @jna_sh Where do we
persist our messages?
56.
</content> <content> @jna_sh Enter Kafka.
57.
</content> <content> @jna_sh Apache | LinkedIn
58.
</content> <content> @jna_sh PubSub messaging system
59.
</content> <content> @jna_sh Cluster of Kafka nodes
60.
</content> <content> @jna_sh Multi-produce multi-consume
61.
</content> <content> @jna_sh Zookeeper - Failure states
62.
</content> <content> @jna_sh Topics
63.
</content> <content> @jna_sh Categories of Messages
64.
</content> <content> @jna_sh Partitions
65.
</content> <content> @jna_sh Split by Machine
66.
</content> <content> @jna_sh No rules of
topic writing.
67.
</content> <content> @jna_sh Messages given an offset.
68.
</content> <content> @jna_sh Deleted after time set
by user.
69.
</content> <content> @jna_sh Kafka properties:
70.
</content> <content> @jna_sh Replays
71.
</content> <content> @jna_sh Strongly ordered
72.
</content> <content> @jna_sh But only by partition.
73.
@jna_sh Architecture Primary DB PGQ Kafka Redshift
data warehouse Elasticsearch
74.
</content> <content> @jna_sh Gateway
75.
</content> <content> @jna_sh Databases sharded by Merchant
76.
</content> <content> @jna_sh Partition fed by shard
77.
</content> <content> @jna_sh Strong ordering per merchant
78.
</content> <content> @jna_sh Categorise by semantics of
data
79.
</content> <content> @jna_sh Redshift needs shape of
data
80.
</content> <content> @jna_sh Elasticsearch needs meaning
81.
</content> <content> @jna_sh topics = datastream
| eventstream
82.
</content> <content> @jna_sh Cool! Job done.
83.
</content> <content> @jna_sh Time to build
it.
84.
</content> <content> @jna_sh Clojure.
85.
</content> <content> @jna_sh Why Clojure?
86.
</content> <content> @jna_sh Rails
87.
</content> <content> @jna_sh No Lisp
88.
</content> <content> @jna_sh No JVM
89.
</content> <content> @jna_sh Because reasons
90.
</content> <content> @jna_sh JVM
91.
</content> <content> @jna_sh Kafka, Zookeeper, Elasticsearch are
JVM
92.
</content> <content> @jna_sh Laziness
93.
</content> <content> @jna_sh Infinite Lazy Streams
94.
</content> <content> @jna_sh Testing
95.
</content> <content> @jna_sh Concurrency
96.
</content> <content> @jna_sh Threads
97.
</content> <content> @jna_sh Goroutines
98.
</content> <content> @jna_sh Actors
99.
</content> <content> @jna_sh Built-in shutdown logic
100.
</content> <content> @jna_sh Status of actors
101.
</content> <content> @jna_sh Single merchant
102.
</content> <content> @jna_sh Offload work to Kafka
103.
</content> <content> @jna_sh Elasticsearch aliases
104.
</content> <content> @jna_sh What did we
learn?
105.
</content> <content> @jna_sh Garbage Collection
106.
</content> <content> @jna_sh Boo hiss
107.
</content> <content> @jna_sh Keep it small
108.
</content> <content> @jna_sh G1GC
109.
</content> <content> @jna_sh Heap size is important
110.
</content> <content> @jna_sh Smaller = Better
111.
</content> <content> @jna_sh Monitor all the things
112.
</content> <content> @jna_sh Don’t use deault configs
113.
</content> <content> @jna_sh Use a good concurrency
model
114.
</content> <content> @jna_sh Future gains
115.
</content> <content> @jna_sh Real time source
of truth
116.
</content> <content> @jna_sh Real time fraud monitoring
117.
</content> <content> @jna_sh Real time reports
118.
</content> <content> @jna_sh Thank you!
119.
</speaker> @jna_sh @jna_sh
120.
@jna_sh Thanks_ Subtitle
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