This document discusses data modeling principles for document databases like Couchbase. It explains that the access pattern and types of queries an application performs should influence how data is modeled. Key concepts covered include embedding vs referencing data, designing keys, and modeling for different query types like key-value lookups and N1QL queries. Examples are provided for different data modeling patterns and techniques.
Three Things You Need to Know About Document Data Modeling in NoSQLDATAVERSITY
We’re all familiar with modeling data the relational way. When we move to a document database we need to think about things a little differently. In this talk we’ll show you how to best plan, model and maintain your data using a document database.
By diving into real world case studies of NoSQL users, we’ll walk through and show you the three main things you need to know about modeling your data in a document database: document design, key design and querying.
[Dr. Suh's thesis in International journal SCI]
“A Novel technique for short nose correction”
The nominated thesis is about A Novel technique for short nose correction; Hybrid septal extension graft that have acquired the favorable reputation internationally based on the advanced clinical experiences.
El proyecto solidario asturiano “un orbayu en el desierto” nació en Caso con el propósito de llevar, a través del ámbito de la cultura asturiana, pequeñas nubes de solidaridad que mejoren la calidad de vida de los campamentos de refugiados de Tinduf.
Three Things You Need to Know About Document Data Modeling in NoSQLDATAVERSITY
We’re all familiar with modeling data the relational way. When we move to a document database we need to think about things a little differently. In this talk we’ll show you how to best plan, model and maintain your data using a document database.
By diving into real world case studies of NoSQL users, we’ll walk through and show you the three main things you need to know about modeling your data in a document database: document design, key design and querying.
[Dr. Suh's thesis in International journal SCI]
“A Novel technique for short nose correction”
The nominated thesis is about A Novel technique for short nose correction; Hybrid septal extension graft that have acquired the favorable reputation internationally based on the advanced clinical experiences.
El proyecto solidario asturiano “un orbayu en el desierto” nació en Caso con el propósito de llevar, a través del ámbito de la cultura asturiana, pequeñas nubes de solidaridad que mejoren la calidad de vida de los campamentos de refugiados de Tinduf.
Ieee 2016 Mobile Computing Papers Namakkalkrish madhi
SHREE SIDDHI SOFT SOLUTIONS is one of the best ieee project centers in Trichy, SHREE SIDDHI SOFT SOLUTIONS offers IEEE 2016 Final Year projects for Engineering students in JAVA, Dot Net, Android, Oracle,matlab,embedded system and PHP technologies, SHREE SIDDHI SOFT SOLUTIONS is a one of the leading research and Development in TRICHY
Contact US:
SHREE SIDDHI SOFT SOLUTIONS
#3, 4th FLOOR, LAKSHMI ARCADE,
11TH CROSS, THILLAI NAGAR,
TRICHY-620018.
Phone NO : +91 90032-44446,900323336,0431-4040672
Email : shreesiddhisoftsolutionstrichy@gmail.com
Website : www.shreesiddhisoftsolutions.com
www.siddhisoftsolutions.com
Q3D - Elemental Impurities: What implications for APIs & excipients suppliers?Quality Assistance s.a.
ICH Q3D Step4 will have to be applied very soon: June 2016 for new Drug Products and
1st January 2018 for all existing DP, making it mandatory for all manufacturers to carry out a risk assessment to control elemental impurities in their DP.
Such evaluation needs to consider all potential sources of Elemental Impurities and obviously, drug product components are probably the most likely contributors.
by Dr Ph. De Raeve, Scientific Director
For more informations : www.quality-assistance.com
NoSQL databases threw out SQL for querying, while their authors focused on solving problems on scale, speed and availability. The trouble is, the need for rich query never went away. Neither did SQL; it was only resting. Today, non-relational databases are bringing back SQL-like languages and other query mechanisms to help them integrate with existing data query layers (e.g. Hibernate) and to fit in with the overwhelming weight of database query practice of the past 40 years. In this talk I’ll cover how to query data in Couchbase using a SQL like query language called N1QL (Nickel) from .NET. I will also touch on topics like installing, setup, hosting, cloud, azure and perfomance. Demo's will be in C#, but there are SDK's and API’s for all the major languages, therefor if you don’t have a .NET background you can still use what you learn in your favourite language.
You can also check this version with animations: http://www.slideshare.net/martinesmann/no-sq-lsbiggestliesqlneverwentawaymartinesmann
NoSQL’s biggest secret: NoSQL never went awayCodemotion
"NoSQL’s biggest secret: NoSQL never went away" by Laurent Doguin.
NoSQL databases threw out SQL for querying, while their authors focused on solving problems of scale, speed, and availability. The need for rich query never went away. Neither did SQL. Today, non-relational databases are bringing back SQL-like languages to help them integrate with existing data query and to fit in with the weight of database practice of the past 40 years. In this talk I'll cover the journey from key-value, through novel ideas such as Jsoniq, to academic papers proposing a SQL++ language, and projects including Cassandra and Couchbase providing their own SQL-like languages.
Big Data Day LA 2015 - Introducing N1QL: SQL for Documents by Jeff Morris of ...Data Con LA
NoSQL has exploded on the developer scene promising alternatives to RDBMS that make rapidly developing, Internet scale applications easier than ever. However, as a trade off to the ease of development and scale, some of the familiarity with other well-known query interfaces such as SQL, has been lost. Until now that is...N1QL (pronounced ‘N1QL’) is a SQL like query language for querying JSON, which brings the familiarity of RDBMS back to the NoSQL world. In this session you will learn about the syntax and basics of this new language as well as Integration with the Couchbase SDKs.
The Why, When, and How of NoSQL - A Practical ApproachDATAVERSITY
More and more Fortune 1000 companies like Marriott, Cars.com, Gannett, and PayPal are choosing NoSQL over relational databases like Oracle, SQL Server, and DB2 to power their web, mobile, and IoT applications. Why? Lower costs, higher performance and availability, better agility, and easier scalability. According to The Forrester Wave™: Big Data NoSQL, Q3 2016 report, “NoSQL is no longer an option.” Come see why.
This webinar is intended for developers, architects, and database engineers who are considering NoSQL as an alternative to relational databases. If you’re looking to add NoSQL to your environment, this webinar will show you how to get started and avoid potential pitfalls.
You’ll get practical advice, including:
•Key considerations in moving from relational to NoSQL
•How to identify applications that benefit most from NoSQL
•Data modeling and querying with NoSQL
•Migrating your data to NoSQL
•Best practices for making the switch
Talk given at QCon, London 2014. You can find the video here: http://bit.ly/jpm_001a
This topic will introduce the Cassandra native protocol, native drivers and Cassandra Query Language (CQL). It is important for developers to be aware of this new way of integrating with and querying Cassandra – without using Thrift or RPC. There are various ways of tuning that integration and modeling your data - all intended to make it easier and more productive to build against Cassandra with some additional performance benefits. This is a technical session with code abstracts using the Java driver.
Join this hands-on workshop led by Neo4j experts guiding you to systematically uncover contextual intelligence. Using a real-life dataset we will build step-by-step a graph solution; from building the graph data model to running queries and data visualization. The approach will be applicable across multiple use cases and industries.
Slides: NoSQL Data Modeling Using JSON Documents – A Practical ApproachDATAVERSITY
After three decades of relational data modeling, everyone’s pretty comfortable with schemas, tables, and entity-relationships. As more and more Global 2000 companies choose NoSQL databases to power their Digital Economy applications, they need to think about how to best model their data. How do they move from a constrained, table-driven model to an agile, flexible data model based on JSON documents?
This webinar is intended for architects and application developers who want to learn about new JSON document data modeling approaches, techniques, and best practices. This webinar will show you how to get started building a JSON document data model, how to migrate a table-based data model to JSON documents, and how to optimize your design to enable fast query performance.
This webinar will provide practical, experience-based advice and best practices for modeling JSON documents, including:
- When to embed or not embed objects in your JSON document
- Data modeling using a practical data access pattern approach
- Indexing your JSON documents
- Querying your data using N1QL (SQL for JSON)
QCon 2014 - How Shutl delivers even faster with Neo4jVolker Pacher
QCon London 2014 use case about implementing Neo4j at Shutl
In this talk, we touch on the key differences between relational databases and graph databases (which, ironically, are much more relational!), and discuss in detail how we utilise this technology both to model our complex domain but also to gain insights into our data and continually improve our offering.
A semi-technical overview of the Microsoft Cloud offering and the various benefits that it can bring to companies of all sizes.
Note: This presentation is best viewed using PowerPoint 2010.
Ieee 2016 Mobile Computing Papers Namakkalkrish madhi
SHREE SIDDHI SOFT SOLUTIONS is one of the best ieee project centers in Trichy, SHREE SIDDHI SOFT SOLUTIONS offers IEEE 2016 Final Year projects for Engineering students in JAVA, Dot Net, Android, Oracle,matlab,embedded system and PHP technologies, SHREE SIDDHI SOFT SOLUTIONS is a one of the leading research and Development in TRICHY
Contact US:
SHREE SIDDHI SOFT SOLUTIONS
#3, 4th FLOOR, LAKSHMI ARCADE,
11TH CROSS, THILLAI NAGAR,
TRICHY-620018.
Phone NO : +91 90032-44446,900323336,0431-4040672
Email : shreesiddhisoftsolutionstrichy@gmail.com
Website : www.shreesiddhisoftsolutions.com
www.siddhisoftsolutions.com
Q3D - Elemental Impurities: What implications for APIs & excipients suppliers?Quality Assistance s.a.
ICH Q3D Step4 will have to be applied very soon: June 2016 for new Drug Products and
1st January 2018 for all existing DP, making it mandatory for all manufacturers to carry out a risk assessment to control elemental impurities in their DP.
Such evaluation needs to consider all potential sources of Elemental Impurities and obviously, drug product components are probably the most likely contributors.
by Dr Ph. De Raeve, Scientific Director
For more informations : www.quality-assistance.com
NoSQL databases threw out SQL for querying, while their authors focused on solving problems on scale, speed and availability. The trouble is, the need for rich query never went away. Neither did SQL; it was only resting. Today, non-relational databases are bringing back SQL-like languages and other query mechanisms to help them integrate with existing data query layers (e.g. Hibernate) and to fit in with the overwhelming weight of database query practice of the past 40 years. In this talk I’ll cover how to query data in Couchbase using a SQL like query language called N1QL (Nickel) from .NET. I will also touch on topics like installing, setup, hosting, cloud, azure and perfomance. Demo's will be in C#, but there are SDK's and API’s for all the major languages, therefor if you don’t have a .NET background you can still use what you learn in your favourite language.
You can also check this version with animations: http://www.slideshare.net/martinesmann/no-sq-lsbiggestliesqlneverwentawaymartinesmann
NoSQL’s biggest secret: NoSQL never went awayCodemotion
"NoSQL’s biggest secret: NoSQL never went away" by Laurent Doguin.
NoSQL databases threw out SQL for querying, while their authors focused on solving problems of scale, speed, and availability. The need for rich query never went away. Neither did SQL. Today, non-relational databases are bringing back SQL-like languages to help them integrate with existing data query and to fit in with the weight of database practice of the past 40 years. In this talk I'll cover the journey from key-value, through novel ideas such as Jsoniq, to academic papers proposing a SQL++ language, and projects including Cassandra and Couchbase providing their own SQL-like languages.
Big Data Day LA 2015 - Introducing N1QL: SQL for Documents by Jeff Morris of ...Data Con LA
NoSQL has exploded on the developer scene promising alternatives to RDBMS that make rapidly developing, Internet scale applications easier than ever. However, as a trade off to the ease of development and scale, some of the familiarity with other well-known query interfaces such as SQL, has been lost. Until now that is...N1QL (pronounced ‘N1QL’) is a SQL like query language for querying JSON, which brings the familiarity of RDBMS back to the NoSQL world. In this session you will learn about the syntax and basics of this new language as well as Integration with the Couchbase SDKs.
The Why, When, and How of NoSQL - A Practical ApproachDATAVERSITY
More and more Fortune 1000 companies like Marriott, Cars.com, Gannett, and PayPal are choosing NoSQL over relational databases like Oracle, SQL Server, and DB2 to power their web, mobile, and IoT applications. Why? Lower costs, higher performance and availability, better agility, and easier scalability. According to The Forrester Wave™: Big Data NoSQL, Q3 2016 report, “NoSQL is no longer an option.” Come see why.
This webinar is intended for developers, architects, and database engineers who are considering NoSQL as an alternative to relational databases. If you’re looking to add NoSQL to your environment, this webinar will show you how to get started and avoid potential pitfalls.
You’ll get practical advice, including:
•Key considerations in moving from relational to NoSQL
•How to identify applications that benefit most from NoSQL
•Data modeling and querying with NoSQL
•Migrating your data to NoSQL
•Best practices for making the switch
Talk given at QCon, London 2014. You can find the video here: http://bit.ly/jpm_001a
This topic will introduce the Cassandra native protocol, native drivers and Cassandra Query Language (CQL). It is important for developers to be aware of this new way of integrating with and querying Cassandra – without using Thrift or RPC. There are various ways of tuning that integration and modeling your data - all intended to make it easier and more productive to build against Cassandra with some additional performance benefits. This is a technical session with code abstracts using the Java driver.
Join this hands-on workshop led by Neo4j experts guiding you to systematically uncover contextual intelligence. Using a real-life dataset we will build step-by-step a graph solution; from building the graph data model to running queries and data visualization. The approach will be applicable across multiple use cases and industries.
Slides: NoSQL Data Modeling Using JSON Documents – A Practical ApproachDATAVERSITY
After three decades of relational data modeling, everyone’s pretty comfortable with schemas, tables, and entity-relationships. As more and more Global 2000 companies choose NoSQL databases to power their Digital Economy applications, they need to think about how to best model their data. How do they move from a constrained, table-driven model to an agile, flexible data model based on JSON documents?
This webinar is intended for architects and application developers who want to learn about new JSON document data modeling approaches, techniques, and best practices. This webinar will show you how to get started building a JSON document data model, how to migrate a table-based data model to JSON documents, and how to optimize your design to enable fast query performance.
This webinar will provide practical, experience-based advice and best practices for modeling JSON documents, including:
- When to embed or not embed objects in your JSON document
- Data modeling using a practical data access pattern approach
- Indexing your JSON documents
- Querying your data using N1QL (SQL for JSON)
QCon 2014 - How Shutl delivers even faster with Neo4jVolker Pacher
QCon London 2014 use case about implementing Neo4j at Shutl
In this talk, we touch on the key differences between relational databases and graph databases (which, ironically, are much more relational!), and discuss in detail how we utilise this technology both to model our complex domain but also to gain insights into our data and continually improve our offering.
A semi-technical overview of the Microsoft Cloud offering and the various benefits that it can bring to companies of all sizes.
Note: This presentation is best viewed using PowerPoint 2010.
JSON Data Modeling in Document DatabaseDATAVERSITY
Making the move to a document database can be intimidating. Yes, its flexible data model gives you a lot of choices, but it also raises questions: Which way is the right way? Is a document database even the right tool?
Join this live session on the basics of data modeling with JSON to learn:
- How a document database compares to a traditional RDBMS
- What JSON data modeling means for your application code
- Which tools might be helpful along the way
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.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
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/
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
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
Views let us automate that. View ain't going nowhere. Views might be the right way to index some stuff. Ultimately you're still doing KV but the indexes are slightly out of sync. Still, you're telling Couchbase how to go about giving you the data you want.
Using the travel sample data we can find flights from LHR to SFO. Explain that we're aliasing travel-sample twice, because both sides of the join are in the same bucket.
It's important not to conflate buckets and tables.
Run this in cbq as it's too much for a GIF.
Using the travel sample data we can find flights from LHR to SFO. Explain that we're aliasing travel-sample twice, because both sides of the join are in the same bucket.
It's important not to conflate buckets and tables.
Run this in cbq as it's too much for a GIF.
Using the travel sample data we can find flights from LHR to SFO. Explain that we're aliasing travel-sample twice, because both sides of the join are in the same bucket.
It's important not to conflate buckets and tables.
Run this in cbq as it's too much for a GIF.
Using the travel sample data we can find flights from LHR to SFO. Explain that we're aliasing travel-sample twice, because both sides of the join are in the same bucket.
It's important not to conflate buckets and tables.
Run this in cbq as it's too much for a GIF.
Using the travel sample data we can find flights from LHR to SFO. Explain that we're aliasing travel-sample twice, because both sides of the join are in the same bucket.
It's important not to conflate buckets and tables.
Run this in cbq as it's too much for a GIF.
Using the travel sample data we can find flights from LHR to SFO. Explain that we're aliasing travel-sample twice, because both sides of the join are in the same bucket.
It's important not to conflate buckets and tables.
Run this in cbq as it's too much for a GIF.
It gives us airports, airlines, routes and that translates into flights.
N1QL is all about giving you the data you want, not the data that happens to be in the database.
JOINs are an essential part of that.
Let's look at some sample docs from the travel sample.
Here we use UNNEST and an inner join to find a list of all the flights from heathrow to SFO ordered by time. We are now aliasing the UNNESTed data too so we can easily use its data in our results.