Full-Text Search in SQL Server and Azure SQL Database lets users and applications run full-text queries against character-based data in SQL Server tables.
Onion Architecture, the concept introduced by the Jeffery Palermo in 2008 with a aim to make the application loosely coupled and with proper separation between the folders and the different areas of concern in the application. This makes the development easier, the testing of the application easier, the maintenance becomes easier.
Onion Architecture, the concept introduced by the Jeffery Palermo in 2008 with a aim to make the application loosely coupled and with proper separation between the folders and the different areas of concern in the application. This makes the development easier, the testing of the application easier, the maintenance becomes easier.
This document describe step by step how to configure Oracle Gateway to create Database link between oracle and MySQL On Solaris 11.1 , The same steps can be done on Linux or Unix.
SQL vs NoSQL | MySQL vs MongoDB Tutorial | EdurekaEdureka!
(** MYSQL DBA Certification Training https://www.edureka.co/mysql-dba **)
This Edureka PPT on SQL vs NoSQL will discuss the differences between SQL and NoSQL. It also discusses the differences between MySQL and MongoDB.
The following topics will be covered in this PPT:
What is SQL?
What is NoSQL?
SQL vs NoSQL
Type of database
Schema
Database Categories
Complex Queries
Hierarchical Data Storage
Scalability
Language
Online Processing
Base Properties
External Support
What is MySQL?
What is MongoDB?
MySQL vs MongoDB:
Query Language
Flexibility of Schema
Relationships
Security
Performance
Support
Key Features
Replication
Usage
Active Community
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Enable Authentication and Authorization with Azure Active Directory and Sprin...VMware Tanzu
SpringOne 2021
Session Title: Enable Authentication and Authorization with Azure Active Directory and Spring Security
Speakers: Josh Cummings, Software Engineer at VMware; Sean Li, Product Manager at Microsoft
Entity Framework Core session on .NET core workshop. This slides contains the presentation on getting started on with Entity Framework Core 2.2. This was presented on Workshop On .Net
event held at Academia International College Tyagal - Lalitpur, Nepal. https://www.facebook.com/events/507837526666020/
And codes on the workshop is available on github https://github.com/kiranshahi/Todo-App
This talk introduces Spring's REST stack - Spring MVC, Spring HATEOAS, Spring Data REST, Spring Security OAuth and Spring Social - while refining an API to move higher up the Richardson maturity model
Microsoft SQL Server Analysis Services (SSAS) - A Practical Introduction Mark Ginnebaugh
Patrick Sheehan of Microsoft covers platform architecture, data warehousing methodology, and multi-dimensional cube development.
You will learn:
* How to develop and deploy data cubes using SQL Server Analysis Services (SSAS)
* Optimal data warehouse methodology for use with SSAS
* Tips/tricks for designing & building cubes over no warehouse/suboptimal source system (it happens)
* Cube processing types - How/why to use each
* Cube design practices + How to build and deploy cubes!
A brief introduction to SQLite | What is Android SQLite? What are the advantage and disadvantage of SQLite? SQLite is an embedded relational database engine. Definitions. A relational database is a collection of data organised in tables. Installing SQLite from sources. To get the newest version of SQLite, we can install SQLite from sources. Tables used. Sources.
Kafka as an event store - is it good enough?Guido Schmutz
Event Sourcing and CQRS are two popular patterns for implementing a Microservices architectures. With Event Sourcing we do not store the state of an object, but instead store all the events impacting its state. Then to retrieve an object state, we have to read the different events related to a certain object and apply them one by one. CQRS (Command Query Responsibility Segregation) on the other hand is a way to dissociate writes (Command) and reads (Query). Event Sourcing and CQRS are frequently grouped and used together to form something bigger. While it is possible to implement CQRS without Event Sourcing, the opposite is not necessarily correct. In order to implement Event Sourcing, an efficient Event Store is needed. But is that also true when combining Event Sourcing and CQRS? And what is an event store in the first place and what features should it implement?
This presentation will first discuss what functionalities an event store should offer and then present how Apache Kafka can be used to implement an event store. But is Kafka good enough or do specific event store solutions such as AxonDB or Event Store provide a better solution?
Philly PHP: April '17 Elastic Search Introduction by Aditya BhamidpatiRobert Calcavecchia
Philly PHP April 2017 Meetup: Introduction to Elastic Search as presented by Aditya Bhamidpati on April 19, 2017.
These slides cover an introduction to using Elastic Search
This document describe step by step how to configure Oracle Gateway to create Database link between oracle and MySQL On Solaris 11.1 , The same steps can be done on Linux or Unix.
SQL vs NoSQL | MySQL vs MongoDB Tutorial | EdurekaEdureka!
(** MYSQL DBA Certification Training https://www.edureka.co/mysql-dba **)
This Edureka PPT on SQL vs NoSQL will discuss the differences between SQL and NoSQL. It also discusses the differences between MySQL and MongoDB.
The following topics will be covered in this PPT:
What is SQL?
What is NoSQL?
SQL vs NoSQL
Type of database
Schema
Database Categories
Complex Queries
Hierarchical Data Storage
Scalability
Language
Online Processing
Base Properties
External Support
What is MySQL?
What is MongoDB?
MySQL vs MongoDB:
Query Language
Flexibility of Schema
Relationships
Security
Performance
Support
Key Features
Replication
Usage
Active Community
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Enable Authentication and Authorization with Azure Active Directory and Sprin...VMware Tanzu
SpringOne 2021
Session Title: Enable Authentication and Authorization with Azure Active Directory and Spring Security
Speakers: Josh Cummings, Software Engineer at VMware; Sean Li, Product Manager at Microsoft
Entity Framework Core session on .NET core workshop. This slides contains the presentation on getting started on with Entity Framework Core 2.2. This was presented on Workshop On .Net
event held at Academia International College Tyagal - Lalitpur, Nepal. https://www.facebook.com/events/507837526666020/
And codes on the workshop is available on github https://github.com/kiranshahi/Todo-App
This talk introduces Spring's REST stack - Spring MVC, Spring HATEOAS, Spring Data REST, Spring Security OAuth and Spring Social - while refining an API to move higher up the Richardson maturity model
Microsoft SQL Server Analysis Services (SSAS) - A Practical Introduction Mark Ginnebaugh
Patrick Sheehan of Microsoft covers platform architecture, data warehousing methodology, and multi-dimensional cube development.
You will learn:
* How to develop and deploy data cubes using SQL Server Analysis Services (SSAS)
* Optimal data warehouse methodology for use with SSAS
* Tips/tricks for designing & building cubes over no warehouse/suboptimal source system (it happens)
* Cube processing types - How/why to use each
* Cube design practices + How to build and deploy cubes!
A brief introduction to SQLite | What is Android SQLite? What are the advantage and disadvantage of SQLite? SQLite is an embedded relational database engine. Definitions. A relational database is a collection of data organised in tables. Installing SQLite from sources. To get the newest version of SQLite, we can install SQLite from sources. Tables used. Sources.
Kafka as an event store - is it good enough?Guido Schmutz
Event Sourcing and CQRS are two popular patterns for implementing a Microservices architectures. With Event Sourcing we do not store the state of an object, but instead store all the events impacting its state. Then to retrieve an object state, we have to read the different events related to a certain object and apply them one by one. CQRS (Command Query Responsibility Segregation) on the other hand is a way to dissociate writes (Command) and reads (Query). Event Sourcing and CQRS are frequently grouped and used together to form something bigger. While it is possible to implement CQRS without Event Sourcing, the opposite is not necessarily correct. In order to implement Event Sourcing, an efficient Event Store is needed. But is that also true when combining Event Sourcing and CQRS? And what is an event store in the first place and what features should it implement?
This presentation will first discuss what functionalities an event store should offer and then present how Apache Kafka can be used to implement an event store. But is Kafka good enough or do specific event store solutions such as AxonDB or Event Store provide a better solution?
Philly PHP: April '17 Elastic Search Introduction by Aditya BhamidpatiRobert Calcavecchia
Philly PHP April 2017 Meetup: Introduction to Elastic Search as presented by Aditya Bhamidpati on April 19, 2017.
These slides cover an introduction to using Elastic Search
Access to Memory (AtoM) is an open source web application for standards-based archival description and access - learn more at:
https://www.accesstomemory.org
These slides will provide users with an overview of how search works in AtoM, along with a detailed walkthrough of using the Advanced search panel, and performing Expert searches in AtoM.
The slides were originally created by Dan Gillean, AtoM Program Manager, for use in a series of training workshops delivered July 9-13, 2018 at the University of the Witswatersrand in Johannesburg, South Africa. The slides are based on current functionality in AtoM release 2.4.
Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
The talk at TYPO3 DevDays 2015 in Nuremberg which explains the deep insights of how search works. TF-IDF algorithm, vector space model and how that is used in Lucene and therefore Solr and Elasticsearch.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Elasticsearch is completely document-oriented and it stores entire documents in its index. But you need to to create a client to communicate with Elasticsearch.
For more information on dot net visit : www.crbtech.in
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.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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/
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
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.
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.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
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.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
MS SQL Server Full-Text Search
1. MS SQL Server Full-Text Search
Prepared By: Bassam Diab
Date: 25-04-2019
2. Overview
• What is Full-Text Search?
• When will Full-text Search be best choice?
• Full-Text Search queries.
• How to Set up full-text search in MS SQL Server?
• Does the Entity Framework support Full-Text Search?
• MS SQL Server Index VS Search Platform (Solr and Elasticsearch).
• Questions.
3. What is full-Text Search?
Full-Text Search lets users and applications run full-text queries against
character-based data in SQL Server tables or Indexed Views.
APPLIES TO:
1. SQL Server (starting with 2008).
2. Azure SQL Database.
3. SQL Data Warehouse.
4. Parallel Data Warehouse.
4. What is full-Text Search?
Full-text search architecture consists of the following processes:
1. The SQL Server process (sqlservr.exe).
2. The filter daemon host process (fdhost.exe).
These two processes contain the components of the full-text search
architecture. These components and their relationships are summarized in
the following illustration.
6. Full-Text Search queries VS LIKE
Full-Text Search queries:
1. Powerful Features (thesaurus,stemmers,ranking).
2. Query can take only seconds or less against millions of rows of text data .
3. Used to query formatted binary data.
Like predicate :
1. Works on character patterns only.
2. Query against millions of rows of text data can take minutes of unstructured text
data to return.
3. Cannot used to query formatted binary data.
7. Full-Text Search queries
After columns have been added to a full-text index, users and applications
can run full-text queries on the text in the columns. These queries can search
for any of the following:
1. One or more specific words or phrases (simple term).
2. A word or a phrase where the words begin with specified text (prefix term).
3. Inflectional forms of a specific word (generation term).
4. Synonymous forms of a specific word (thesaurus).
5. Words or phrases using weighted values (weighted term).
8. Set up full-text search
There are two basic steps to set up full-text search:
1. Create a full-text catalog.
2. Create a full-text index on tables or indexed view you want to search.
Each full-text index must belong to a full-text catalog. You can create a
separate text catalog for each full-text index, or you can associate multiple
full-text indexes with a given catalog. A full-text catalog is a virtual object
and does not belong to any file group. The catalog is a logical concept that
refers to a group of full-text indexes.
9. Full-Text Predicates
There is four predicates in the full-text search:
1. CONTAINSTABLE.
2. CONTAINS.
3. FREETEXTTABLE.
4. FREETEXT.
10. Full-Text Indexes – CONTAINSTABLE
• Returns a table of zero or one or more rows for the columns queried
containing precise or less precise matches to single words and phrases,
proximity of words within a distance of one another or weighted matches.
• Used in the FROM clause.
• Returns a relevance ranking value and full-text key in the result set.
11. Full-Text Indexes – CONTAINS
• Used in the WHERE clause of a query.
• Searches for precise or less precise matches to single words and phrases.
• Can search for the following:
1. Prefix of a word or phrase
2. A word that is inflectionally generated from another (i.e. drive, drives,
drove, driving, driven).
3. Synonyms of another word using a thesaurus.
12. Full-Text Indexes – FREETEXT
• Used in the WHERE clause of a query.
• Searches for values that match the meaning and not the exact wording of
the search criteria.
• Queries using FREETEXT are less precise than CONTAINS.
• Matches are generated if any term or form of any term is found.
13. Full-Text Indexes – FREETEXTTABLE
• Used in the FROM clause of a query like CONTAINSTABLE .
• Uses the same search conditions as FREETEXT.
• It adds a rank and key value for each row.
14. Does the Entity Framework support Full-Text
Search?
Out of the box Entity Framework does not support Full Text Search. To do Full
Text Search you have a number of options to get it working. You can get Full
Text Search working using a table valued function. The method does the Full
Text Search in a table valued function that returns an id list, the returned ids
can be used to filter the records from an actual table.
15. Full-Text VS Search Platform
Solr MS SQL Full-Text
Index auto Update No Yes
Store Data in Index Yes No
Location in Memory Yes No
Interface Yes SQL
Querying Multiple Columns Yes Yes
Custom Index documents
structure
Yes No