Assurance of security and privacy requirements for cloud deployment modelFinalyearprojects Toall
To get IEEE 2015-2017 Project for above title in .Net or Java
mail to finalyearprojects2all@gmail.com or contact +91 8870791415
IEEE 2015-2016 Project Videos: https://www.youtube.com/channel/UCyK6peTIU3wPIJxXD0MbNvA
SQL Injection Attacks - Is Your Data Secure? SQL Saturday Rochester Bert Wagner
SQL injection is one of the most common ways that hackers gain access to your SQL server. Do you know how to protect your data from malicious users?
This session will provide an overview of how SQL injection works as well as T-SQL examples and techniques to protect against it. We’ll also take a look at why some commonly used techniques aren’t as secure as many people think.
If you ever write or maintain dynamic SQL queries then this session is for you.
SQL Injection Attacks - Is Your Data Secure? GroupBy ConferenceBert Wagner
SQL injection is one of the most common ways that hackers gain access to your SQL server. Do you know how to harden your queries and protect your data from malicious users?
This session will provide an overview of how SQL injection works and how to write injection-proof queries through a series of T-SQL demos. We’ll also take a look at why some commonly used techniques aren’t as secure as many people think.
If you ever write or maintain dynamic SQL queries, or work with developers who do, then this session is for you.
SQL Injection Attacks: Is Your Data Secure? .NET EditionBert Wagner
SQL injection is one of the most common ways that hackers gain access to your database. Do you know how to protect your data from malicious users? This session will provide an overview of how SQL injection works as well as steps to prevent it from happening to you. We'll examine both .NET and T-SQL solutions, as well as why some commonly used techniques aren’t as secure as many people think. If you ever capture user inputs to store in the database or write dynamic SQL queries then this session is for you.
Assurance of security and privacy requirements for cloud deployment modelFinalyearprojects Toall
To get IEEE 2015-2017 Project for above title in .Net or Java
mail to finalyearprojects2all@gmail.com or contact +91 8870791415
IEEE 2015-2016 Project Videos: https://www.youtube.com/channel/UCyK6peTIU3wPIJxXD0MbNvA
SQL Injection Attacks - Is Your Data Secure? SQL Saturday Rochester Bert Wagner
SQL injection is one of the most common ways that hackers gain access to your SQL server. Do you know how to protect your data from malicious users?
This session will provide an overview of how SQL injection works as well as T-SQL examples and techniques to protect against it. We’ll also take a look at why some commonly used techniques aren’t as secure as many people think.
If you ever write or maintain dynamic SQL queries then this session is for you.
SQL Injection Attacks - Is Your Data Secure? GroupBy ConferenceBert Wagner
SQL injection is one of the most common ways that hackers gain access to your SQL server. Do you know how to harden your queries and protect your data from malicious users?
This session will provide an overview of how SQL injection works and how to write injection-proof queries through a series of T-SQL demos. We’ll also take a look at why some commonly used techniques aren’t as secure as many people think.
If you ever write or maintain dynamic SQL queries, or work with developers who do, then this session is for you.
SQL Injection Attacks: Is Your Data Secure? .NET EditionBert Wagner
SQL injection is one of the most common ways that hackers gain access to your database. Do you know how to protect your data from malicious users? This session will provide an overview of how SQL injection works as well as steps to prevent it from happening to you. We'll examine both .NET and T-SQL solutions, as well as why some commonly used techniques aren’t as secure as many people think. If you ever capture user inputs to store in the database or write dynamic SQL queries then this session is for you.
Bridging the Gap: from Data Science to ProductionFlorian Wilhelm
A recent but quite common observation in industry is that although there is an overall high adoption of data science, many companies struggle to get it into production. Huge teams of well-payed data scientists often present one fancy model after the other to their managers but their proof of concepts never manifest into something business relevant. The frustration grows on both sides, managers and data scientists.
In my talk I elaborate on the many reasons why data science to production is such a hard nut to crack. I start with a taxonomy of data use cases in order to easier assess technical requirements. Based thereon, my focus lies on overcoming the two-language-problem which is Python/R loved by data scientists vs. the enterprise-established Java/Scala. From my project experiences I present three different solutions, namely 1) migrating to a single language, 2) reimplementation and 3) usage of a framework. The advantages and disadvantages of each approach is presented and general advices based on the introduced taxonomy is given.
Additionally, my talk also addresses organisational as well as problems in quality assurance and deployment. Best practices and further references are presented on a high-level in order to cover all facets of data science to production.
With my talk I hope to convey the message that breakdowns on the road from data science to production are rather the rule than the exception, so you are not alone. At the end of my talk, you will have a better understanding of why your team and you are struggling and what to do about it.
Bridging the Gap: from Data Science to ProductionFlorian Wilhelm
A recent but quite common observation in industry is that although there is an overall high adoption of data science, many companies struggle to get it into production. Huge teams of well-payed data scientists often present one fancy model after the other to their managers but their proof of concepts never manifest into something business relevant. The frustration grows on both sides, managers and data scientists.
In my talk I elaborate on the many reasons why data science to production is such a hard nut to crack. I start with a taxonomy of data use cases in order to easier assess technical requirements. Based thereon, my focus lies on overcoming the two-language-problem which is Python/R loved by data scientists vs. the enterprise-established Java/Scala. From my project experiences I present three different solutions, namely 1) migrating to a single language, 2) reimplementation and 3) usage of a framework. The advantages and disadvantages of each approach is presented and general advices based on the introduced taxonomy is given.
Additionally, my talk also addresses organisational as well as problems in quality assurance and deployment. Best practices and further references are presented on a high-level in order to cover all facets of data science to production.
With my talk I hope to convey the message that breakdowns on the road from data science to production are rather the rule than the exception, so you are not alone. At the end of my talk, you will have a better understanding of why your team and you are struggling and what to do about it.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
2. networksimulationtools.com
Fogsim
PhD Guidance
MS Guidance
Assignment Help Homework Help
Uses of Discrete Event Simulator
Discrete event simulator advantages are given by us for student research projects,
Advance capacity to find bugs
01
Discrete simulators are cheaper
02
Simulate system with arbitrary level
03
Analytic techniques are ensured to simulate network
04
Numeric techniques are ensured to simulate computer system
05
Powerful decision making tool
06
3. networksimulationtools.com
PhD Guidance
MS Guidance
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Key Advantages of Open Source Software
Following advantages of open source software in network simulator provide by expert team for students projects,
01 Reliability and quality
02
External support availability
03
Low costs
04
Reduce vendor lock
05
Every one find bug easily
4. networksimulationtools.com
CloudSim
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MS Guidance
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Main Applications of Open Source Software
We give various application in open source software for research scholars to their projects,
Office automation
01
Web design
02
Content management
03
Operating system
04
Communication
05