PPT.pptx
•Download as PPTX, PDF•
0 likes•6 views
This document summarizes an online medical claim project that was developed using HTML, CSS, PHP, and other tools. It includes sections on the project specifications, system development strategy using a spiral model, data flow diagram, entity relationship diagram, screen layouts, limitations, and plans for future enhancements. Grey box testing techniques are proposed to test the system using both external functionality and limited internal design information.
Report
Share
Report
Share
Recommended
PPT_E-Learning.pptx
This document summarizes an e-learning system project that was developed using ASP.net, MVC, C#, CSS, JavaScript on the front end and SQL Server on the back end. It includes the project specifications, an introduction, system development life cycle phases like data flow diagrams and entity relationship diagrams, screen layouts, limitations and future enhancements. The system was developed using the spiral model of the system development life cycle. It provides concise summaries of key pages and functionality like user registration, course registration, and testing using gray box methods.
Internet banking
This document outlines an internet banking system that provides customers access to their bank accounts online. It includes sections on objectives, data flow diagrams, software and hardware requirements, goals achieved, and future enhancements. The system allows customers to view balances, transfer funds between accounts, request checkbooks, view statements, and see bank services. It aims to reduce errors, provide easy retrieval of information, and offer a user-friendly interface. Future enhancements may improve security with technologies like password encryption.
Big data meet_up_08042016
The document discusses using big data architecture and Hadoop. It compares relational database management systems (RDBMS) to Hadoop, noting differences in schema, speed, governance, processing, and data types between the two. A scenario is presented of a trucking company collecting sensor data from vehicles via GPS, acceleration, braking etc. and how that data could flow through the Hadoop ecosystem using Flume, Sqoop, Hive, Pig, and Spark. Another example discusses acquiring and processing user event data from a bank. The document outlines the reference architecture and requirements extraction process for designing a big data system.
Bigdata.sunil_6+yearsExp
This document contains a summary of Sunil's professional experience and skills. He has over 3 years of experience working with big data technologies like Spark, Hadoop, Hive and Presto. He has extensive experience installing, configuring and maintaining Hadoop and Spark clusters. Some of his projects involved building recommendation engines, analyzing social media and call drop data. He is proficient in Java, Hadoop ecosystems and SQL/NoSQL databases.
Maharshi_Amin_416
This document provides a summary of Maharshi Amin's professional experience and technical skills. He has over 10 years of experience developing software applications for the financial industry using technologies like Perl, Java, Sybase, and Informatica. His experience includes roles supporting trading, risk management, and regulatory reporting systems. He has strong skills in database design, application development, performance tuning, and leading development teams.
Skilwise Big data
IBM's Big Data platform provides tools for managing and analyzing large volumes of structured, unstructured, and streaming data. It includes Hadoop for storage and processing, InfoSphere Streams for real-time streaming analytics, InfoSphere BigInsights for analytics on data at rest, and PureData System for Analytics (formerly Netezza) for high performance data warehousing. The platform enables businesses to gain insights from all available data to capitalize on information resources and make data-driven decisions.
The Enterprise Guide to Building a Data Mesh - Introducing SpecMesh
For organisations to successfully adopt data mesh, setting up and maintaining infrastructure needs to be easy.
We believe the best way to achieve this is to leverage the learnings from building a ‘central nervous system‘, commonly used in modern data-streaming ecosystems. This approach formalises and automates of the manual parts of building a data mesh.
This presentation introduces SpecMesh; a methodology and supporting developer toolkit to enable business to build the foundations of their data mesh.
WSO2 Stream Processor: Graphical Editor, HTTP & Message Trace Analytics and More
This slide deck explores WSO2 Stream Processor’s new features and improvements and explain how they make an organization excel in the current competitive marketplace.
Recommended
PPT_E-Learning.pptx
This document summarizes an e-learning system project that was developed using ASP.net, MVC, C#, CSS, JavaScript on the front end and SQL Server on the back end. It includes the project specifications, an introduction, system development life cycle phases like data flow diagrams and entity relationship diagrams, screen layouts, limitations and future enhancements. The system was developed using the spiral model of the system development life cycle. It provides concise summaries of key pages and functionality like user registration, course registration, and testing using gray box methods.
Internet banking
This document outlines an internet banking system that provides customers access to their bank accounts online. It includes sections on objectives, data flow diagrams, software and hardware requirements, goals achieved, and future enhancements. The system allows customers to view balances, transfer funds between accounts, request checkbooks, view statements, and see bank services. It aims to reduce errors, provide easy retrieval of information, and offer a user-friendly interface. Future enhancements may improve security with technologies like password encryption.
Big data meet_up_08042016
The document discusses using big data architecture and Hadoop. It compares relational database management systems (RDBMS) to Hadoop, noting differences in schema, speed, governance, processing, and data types between the two. A scenario is presented of a trucking company collecting sensor data from vehicles via GPS, acceleration, braking etc. and how that data could flow through the Hadoop ecosystem using Flume, Sqoop, Hive, Pig, and Spark. Another example discusses acquiring and processing user event data from a bank. The document outlines the reference architecture and requirements extraction process for designing a big data system.
Bigdata.sunil_6+yearsExp
This document contains a summary of Sunil's professional experience and skills. He has over 3 years of experience working with big data technologies like Spark, Hadoop, Hive and Presto. He has extensive experience installing, configuring and maintaining Hadoop and Spark clusters. Some of his projects involved building recommendation engines, analyzing social media and call drop data. He is proficient in Java, Hadoop ecosystems and SQL/NoSQL databases.
Maharshi_Amin_416
This document provides a summary of Maharshi Amin's professional experience and technical skills. He has over 10 years of experience developing software applications for the financial industry using technologies like Perl, Java, Sybase, and Informatica. His experience includes roles supporting trading, risk management, and regulatory reporting systems. He has strong skills in database design, application development, performance tuning, and leading development teams.
Skilwise Big data
IBM's Big Data platform provides tools for managing and analyzing large volumes of structured, unstructured, and streaming data. It includes Hadoop for storage and processing, InfoSphere Streams for real-time streaming analytics, InfoSphere BigInsights for analytics on data at rest, and PureData System for Analytics (formerly Netezza) for high performance data warehousing. The platform enables businesses to gain insights from all available data to capitalize on information resources and make data-driven decisions.
The Enterprise Guide to Building a Data Mesh - Introducing SpecMesh
For organisations to successfully adopt data mesh, setting up and maintaining infrastructure needs to be easy.
We believe the best way to achieve this is to leverage the learnings from building a ‘central nervous system‘, commonly used in modern data-streaming ecosystems. This approach formalises and automates of the manual parts of building a data mesh.
This presentation introduces SpecMesh; a methodology and supporting developer toolkit to enable business to build the foundations of their data mesh.
WSO2 Stream Processor: Graphical Editor, HTTP & Message Trace Analytics and More
This slide deck explores WSO2 Stream Processor’s new features and improvements and explain how they make an organization excel in the current competitive marketplace.
WSO2 Stream Processor: Graphical Editor, HTTP & Message Trace Analytics and m...
WSO2 Stream Processor: Graphical Editor, HTTP & Message Trace Analytics and m...Sriskandarajah Suhothayan
Organizational success depends on our ability to sense the environment, grab opportunities and eliminate threats that are present in real-time. Such real-time processing is now available to all organizations (with or without a big data background) through the new WSO2 Stream Processor.
This slides presents WSO2 Stream Processor’s new features and improvements and explains how they make an organization excel in the current competitive marketplace. Some key features we will consider are:
* WSO2 Stream Processor’s highly productive developer environment, with graphical drag-and-drop, and the Streaming SQL query editor
* The ability to process real-time queries that span from seconds to years
* Its interactive visualization and dashboarding features with improved widget generation
* Its ability to processing at scale via distributed deployments with full observability
* Default support for HTTP analytics, distributed message trace analytics, and Twitter analyticsSkillwise Big Data part 2
IBM's Big Data platform provides tools for managing and analyzing large volumes of data from various sources. It allows users to cost effectively store and process structured, unstructured, and streaming data. The platform includes products like Hadoop for storage, MapReduce for processing large datasets, and InfoSphere Streams for analyzing real-time streaming data. Business users can start with critical needs and expand their use of big data over time by leveraging different products within the IBM Big Data platform.
Neo4j Aura on AWS: The Customer Choice for Graph Databases
Neo4j, the leading enterprise graph platform, is now globally available on Amazon Web Services (AWS) as a fully managed, always-on database service.
Neo4j Aura Enterprise on AWS empowers organizations to rapidly build mission-critical, intelligent cloud-based applications backed by the performance, scale, security, and reliability that only the most deployed and most trusted graph technology can provide.
Customers like Levi Strauss & Co., Sainsbury’s, Siemens, The Orchard and Tourism Media are already using Aura Enterprise on AWS for fraud detection, regulatory compliance, recommendation engines, supply chain analysis, and much more.
Join us for this exclusive digital event to learn more about Neo4j Aura Enterprise on AWS:
- Understand the state of the data and analytics market and how investing in Neo4j and AWS fits in the big picture
- Get insights into how Siemens and Tourism Media are unlocking the power of graph databases on AWS during a panel discussion
- Discover how to build modern graph applications with Neo4j on AWS through a step-by-step presentation and demo
Rahul 5yr java
The document provides a summary of Rahul Kumar's professional experience and qualifications. It includes details of his 5 years of software development experience working with technologies like Java, Spring, Hibernate, Azure Cloud, and Big Data tools. It also lists 3 past projects involving building applications for claims analysis, reporting, and customer account management. The summary seeks to associate with an organization where he can apply his skills and knowledge.
Personal Information (1) - Copy
Core SDS will synchronize fields between MSP and desktop systems through nightly batch runs. It was originally developed for JP Morgan Chase but is now being enhanced as a generic "Core SDS" product to be implemented for all OCC clients starting in 2012. The first OCC client will be Aurora for their March 24, 2012 release. Core SDS will utilize the same services and frameworks as other data sync products but will require only database script deployment for new clients rather than code deployment.
Building Custom Big Data Integrations
Big data ingest frameworks ship with an array of connectors for common data origins and destinations, such as flat files, S3, HDFS, Kafka etc, but sometimes, you need to send data to, or receive data from a system that's not on the list. StreamSets includes template code for building your own connectors and processors; we'll walk through the process of building a simple destination that sends data to a REST web service, and show how it can be extended to target more sophisticated systems such as Salesforce Wave Analytics.
SPS Vancouver 2018 - What is CDM and CDS
The document discusses the Common Data Model (CDM) and how to use it. It describes CDM as an open-sourced definition of standard business entities that provides a common data model that can be shared across applications. It outlines how CDM allows building applications faster by composing analytics, user experiences, and automation using integrated Microsoft services. It also discusses moving data into CDM using the Data Integrator and building applications with CDM using PowerApps, the CDS SDK, Microsoft Flow, and Power BI.
My Saminar On Php
The document describes a practical training project to develop a job portal website using PHP at Masters Infosoft Pvt. Ltd. in Jaipur, India by Arjun lal Kumawat, a student at Sobhasaria Engineering College. It discusses the objectives, scope, system analysis and design, hardware and software requirements, data flow diagram, and testing of the job portal website project.
Solving Enterprise Data Challenges with Apache Arrow
This document discusses Apache Arrow, an open-source library that enables fast and efficient data interchange and processing. It summarizes the growth of Arrow and its ecosystem, including new features like the Arrow C++ query engine and Arrow Rust DataFusion. It also highlights how enterprises are using Arrow to solve challenges around data interoperability, access speed, query performance, and embeddable analytics. Case studies describe how companies like Microsoft, Google Cloud, Snowflake, and Meta leverage Arrow in their products and platforms. The presenter promotes Voltron Data's enterprise subscription and upcoming conference to support business use of Apache Arrow.
DataFinder: A Python Application for Scientific Data Management
DataFinder is a Python application developed by the German Aerospace Center (DLR) for efficient management of large scientific and technical data sets. It provides a structured way to organize data through customizable data models and flexible use of distributed storage resources. DataFinder uses a client-server model with a WebDAV server to store metadata and data. It allows integration of data management into scientific workflows through a Python API and scripting.
Capstone presentation
This document outlines a project to analyze clickstream log data from an e-commerce website using Apache Hadoop. The project aims to answer business questions about browsing trends. It involves three stages: data collection from the website, ingestion into Hadoop using tools like Sqoop and Hive, and data visualization with Tableau and Power BI. Challenges included setting up the Magento website and Cloudera Hadoop cluster. The project provided hands-on experience with technologies like Pig, Python, HDFS, and the Hadoop ecosystem.
Big Data Ingestion Using Hadoop - Capstone Presentation
In this project we used advanced techniques in Data Engineering domain to parse unstructured web log files (clickstream data) to relational format.
Offline strategies for HTML5 web applications - pfCongres2012
The document discusses various strategies for building offline capabilities in HTML5 web applications, including:
1) The Application Cache API allows caching static resources to load pages offline but has limitations.
2) Data URIs and Web Storage allow storing limited amounts of dynamic data locally in a simple key-value format.
3) Web SQL Database provided an offline SQL database but is no longer part of HTML5; IndexedDB provides similar functionality with better performance.
Game Analytics at London Apache Druid Meetup
This document summarizes a presentation about GameAnalytics' use of Apache Druid for analytics of user behavior data from video games. It discusses their data collection, annotation, and aggregation workflows. GameAnalytics ingests raw event data from SDKs and partners into S3, then an annotation system enriches the data before ingestion into Druid. They designed Druid schemas around dimensions, metrics and hyperloglog sketches to optimize queries for unique users and retention. Real-time and batch ingestion utilize Kinesis and EMR. Caching and tiering help optimize performance and costs. Future plans include A/B testing and funnel analysis using Druid.
Sandeep_Rampalle_Resume
This document provides a summary of Sandeep Rampalle's skills and experience:
- Over 9 years of experience in IT areas like system analysis, design, and development for data warehousing, client server technologies, and mainframes. Extensive experience with tools like Informatica and Oracle.
- Strong skills in SQL, PL/SQL, writing stored procedures and functions, and performance tuning for Oracle databases. Experienced with data integration, ETL processes, and scheduling jobs.
- Has worked on numerous projects at Fidelity involving data warehousing, reporting, migrations, and integrating various data sources for applications and customer experiences.
- Also has experience with technologies like Java/J2EE, main
Seven50 Sparc Overview
SPARC is an open source, cloud-based GIS data platform designed to support scenario planning for the Seven50 initiative. It allows for uploading and integrating data from various sources, automatic quality checking of data, and making data accessible to various tools through common templates. SPARC also provides access to contextual regional data organized into categories like land use, transportation, and demographics. It stores scenario planning data used to build future scenarios according to a common schema. Access is managed through user registration and different user classes have different access levels to the data.
RLS Prototype ETL | Vision and Scope Document
The document outlines plans for a Row Level Security (RLS) prototype ETL project at TricorBraun. It will load security tables from Active Directory using PowerShell scripts to enable RLS on Microsoft Applications and reports. The project will create scripts to load user entitlements and security attributes from AD into staging tables to define access levels at the total company, division, region or customer level for testing RLS functionality. It requires coordination between IT and HR to determine dynamic access levels from employee data, and outlines deliverables, approach, clarifications and processes for completing the project.
E voting(online voting system)
This document describes an e-voting (online voting) system project developed by Saurabh Kheni. The document outlines the existing manual voting system and proposes an online system to allow voters to cast votes from any location at any time. The key sections of the document describe the system overview, modules including voter and admin modules, front-end and back-end technologies used including PHP, CSS, JavaScript, and MySQL database. Diagrams are also included covering data flow, class relationships, and system architecture.
Spm global shopping nawaraj ghimire
This document proposes a software project for an online shopping application called Global Shopping. It will allow users to shop online, provide merchants a platform to market their products, and be developed using PHP and MySQL on Windows and Linux environments. The project scope is outlined, including security measures. Methodologies like feasibility studies, data flow diagrams, database design, hardware/software requirements, and a project schedule are presented to develop this online shopping application.
Scaling and Modernizing Data Platform with Databricks
This document summarizes Atlassian's adoption of Databricks to manage their growing data pipelines and platforms. It discusses the challenges they faced with their previous architecture around development time, collaboration, and costs. With Databricks, Atlassian was able to build scalable data pipelines using notebooks and connectors, orchestrate workflows with Airflow, and provide self-service analytics and machine learning to teams while reducing infrastructure costs and data engineering dependencies. The key benefits included reduced development time by 30%, decreased infrastructure costs by 60%, and increased adoption of Databricks and self-service across teams.
share - Lions, tigers, AI and health misinformation, oh my!.pptx
• Pitfalls and pivots needed to use AI effectively in public health
• Evidence-based strategies to address health misinformation effectively
• Building trust with communities online and offline
• Equipping health professionals to address questions, concerns and health misinformation
• Assessing risk and mitigating harm from adverse health narratives in communities, health workforce and health system
More Related Content
Similar to PPT.pptx
WSO2 Stream Processor: Graphical Editor, HTTP & Message Trace Analytics and m...
WSO2 Stream Processor: Graphical Editor, HTTP & Message Trace Analytics and m...Sriskandarajah Suhothayan
Organizational success depends on our ability to sense the environment, grab opportunities and eliminate threats that are present in real-time. Such real-time processing is now available to all organizations (with or without a big data background) through the new WSO2 Stream Processor.
This slides presents WSO2 Stream Processor’s new features and improvements and explains how they make an organization excel in the current competitive marketplace. Some key features we will consider are:
* WSO2 Stream Processor’s highly productive developer environment, with graphical drag-and-drop, and the Streaming SQL query editor
* The ability to process real-time queries that span from seconds to years
* Its interactive visualization and dashboarding features with improved widget generation
* Its ability to processing at scale via distributed deployments with full observability
* Default support for HTTP analytics, distributed message trace analytics, and Twitter analyticsSkillwise Big Data part 2
IBM's Big Data platform provides tools for managing and analyzing large volumes of data from various sources. It allows users to cost effectively store and process structured, unstructured, and streaming data. The platform includes products like Hadoop for storage, MapReduce for processing large datasets, and InfoSphere Streams for analyzing real-time streaming data. Business users can start with critical needs and expand their use of big data over time by leveraging different products within the IBM Big Data platform.
Neo4j Aura on AWS: The Customer Choice for Graph Databases
Neo4j, the leading enterprise graph platform, is now globally available on Amazon Web Services (AWS) as a fully managed, always-on database service.
Neo4j Aura Enterprise on AWS empowers organizations to rapidly build mission-critical, intelligent cloud-based applications backed by the performance, scale, security, and reliability that only the most deployed and most trusted graph technology can provide.
Customers like Levi Strauss & Co., Sainsbury’s, Siemens, The Orchard and Tourism Media are already using Aura Enterprise on AWS for fraud detection, regulatory compliance, recommendation engines, supply chain analysis, and much more.
Join us for this exclusive digital event to learn more about Neo4j Aura Enterprise on AWS:
- Understand the state of the data and analytics market and how investing in Neo4j and AWS fits in the big picture
- Get insights into how Siemens and Tourism Media are unlocking the power of graph databases on AWS during a panel discussion
- Discover how to build modern graph applications with Neo4j on AWS through a step-by-step presentation and demo
Rahul 5yr java
The document provides a summary of Rahul Kumar's professional experience and qualifications. It includes details of his 5 years of software development experience working with technologies like Java, Spring, Hibernate, Azure Cloud, and Big Data tools. It also lists 3 past projects involving building applications for claims analysis, reporting, and customer account management. The summary seeks to associate with an organization where he can apply his skills and knowledge.
Personal Information (1) - Copy
Core SDS will synchronize fields between MSP and desktop systems through nightly batch runs. It was originally developed for JP Morgan Chase but is now being enhanced as a generic "Core SDS" product to be implemented for all OCC clients starting in 2012. The first OCC client will be Aurora for their March 24, 2012 release. Core SDS will utilize the same services and frameworks as other data sync products but will require only database script deployment for new clients rather than code deployment.
Building Custom Big Data Integrations
Big data ingest frameworks ship with an array of connectors for common data origins and destinations, such as flat files, S3, HDFS, Kafka etc, but sometimes, you need to send data to, or receive data from a system that's not on the list. StreamSets includes template code for building your own connectors and processors; we'll walk through the process of building a simple destination that sends data to a REST web service, and show how it can be extended to target more sophisticated systems such as Salesforce Wave Analytics.
SPS Vancouver 2018 - What is CDM and CDS
The document discusses the Common Data Model (CDM) and how to use it. It describes CDM as an open-sourced definition of standard business entities that provides a common data model that can be shared across applications. It outlines how CDM allows building applications faster by composing analytics, user experiences, and automation using integrated Microsoft services. It also discusses moving data into CDM using the Data Integrator and building applications with CDM using PowerApps, the CDS SDK, Microsoft Flow, and Power BI.
My Saminar On Php
The document describes a practical training project to develop a job portal website using PHP at Masters Infosoft Pvt. Ltd. in Jaipur, India by Arjun lal Kumawat, a student at Sobhasaria Engineering College. It discusses the objectives, scope, system analysis and design, hardware and software requirements, data flow diagram, and testing of the job portal website project.
Solving Enterprise Data Challenges with Apache Arrow
This document discusses Apache Arrow, an open-source library that enables fast and efficient data interchange and processing. It summarizes the growth of Arrow and its ecosystem, including new features like the Arrow C++ query engine and Arrow Rust DataFusion. It also highlights how enterprises are using Arrow to solve challenges around data interoperability, access speed, query performance, and embeddable analytics. Case studies describe how companies like Microsoft, Google Cloud, Snowflake, and Meta leverage Arrow in their products and platforms. The presenter promotes Voltron Data's enterprise subscription and upcoming conference to support business use of Apache Arrow.
DataFinder: A Python Application for Scientific Data Management
DataFinder is a Python application developed by the German Aerospace Center (DLR) for efficient management of large scientific and technical data sets. It provides a structured way to organize data through customizable data models and flexible use of distributed storage resources. DataFinder uses a client-server model with a WebDAV server to store metadata and data. It allows integration of data management into scientific workflows through a Python API and scripting.
Capstone presentation
This document outlines a project to analyze clickstream log data from an e-commerce website using Apache Hadoop. The project aims to answer business questions about browsing trends. It involves three stages: data collection from the website, ingestion into Hadoop using tools like Sqoop and Hive, and data visualization with Tableau and Power BI. Challenges included setting up the Magento website and Cloudera Hadoop cluster. The project provided hands-on experience with technologies like Pig, Python, HDFS, and the Hadoop ecosystem.
Big Data Ingestion Using Hadoop - Capstone Presentation
In this project we used advanced techniques in Data Engineering domain to parse unstructured web log files (clickstream data) to relational format.
Offline strategies for HTML5 web applications - pfCongres2012
The document discusses various strategies for building offline capabilities in HTML5 web applications, including:
1) The Application Cache API allows caching static resources to load pages offline but has limitations.
2) Data URIs and Web Storage allow storing limited amounts of dynamic data locally in a simple key-value format.
3) Web SQL Database provided an offline SQL database but is no longer part of HTML5; IndexedDB provides similar functionality with better performance.
Game Analytics at London Apache Druid Meetup
This document summarizes a presentation about GameAnalytics' use of Apache Druid for analytics of user behavior data from video games. It discusses their data collection, annotation, and aggregation workflows. GameAnalytics ingests raw event data from SDKs and partners into S3, then an annotation system enriches the data before ingestion into Druid. They designed Druid schemas around dimensions, metrics and hyperloglog sketches to optimize queries for unique users and retention. Real-time and batch ingestion utilize Kinesis and EMR. Caching and tiering help optimize performance and costs. Future plans include A/B testing and funnel analysis using Druid.
Sandeep_Rampalle_Resume
This document provides a summary of Sandeep Rampalle's skills and experience:
- Over 9 years of experience in IT areas like system analysis, design, and development for data warehousing, client server technologies, and mainframes. Extensive experience with tools like Informatica and Oracle.
- Strong skills in SQL, PL/SQL, writing stored procedures and functions, and performance tuning for Oracle databases. Experienced with data integration, ETL processes, and scheduling jobs.
- Has worked on numerous projects at Fidelity involving data warehousing, reporting, migrations, and integrating various data sources for applications and customer experiences.
- Also has experience with technologies like Java/J2EE, main
Seven50 Sparc Overview
SPARC is an open source, cloud-based GIS data platform designed to support scenario planning for the Seven50 initiative. It allows for uploading and integrating data from various sources, automatic quality checking of data, and making data accessible to various tools through common templates. SPARC also provides access to contextual regional data organized into categories like land use, transportation, and demographics. It stores scenario planning data used to build future scenarios according to a common schema. Access is managed through user registration and different user classes have different access levels to the data.
RLS Prototype ETL | Vision and Scope Document
The document outlines plans for a Row Level Security (RLS) prototype ETL project at TricorBraun. It will load security tables from Active Directory using PowerShell scripts to enable RLS on Microsoft Applications and reports. The project will create scripts to load user entitlements and security attributes from AD into staging tables to define access levels at the total company, division, region or customer level for testing RLS functionality. It requires coordination between IT and HR to determine dynamic access levels from employee data, and outlines deliverables, approach, clarifications and processes for completing the project.
E voting(online voting system)
This document describes an e-voting (online voting) system project developed by Saurabh Kheni. The document outlines the existing manual voting system and proposes an online system to allow voters to cast votes from any location at any time. The key sections of the document describe the system overview, modules including voter and admin modules, front-end and back-end technologies used including PHP, CSS, JavaScript, and MySQL database. Diagrams are also included covering data flow, class relationships, and system architecture.
Spm global shopping nawaraj ghimire
This document proposes a software project for an online shopping application called Global Shopping. It will allow users to shop online, provide merchants a platform to market their products, and be developed using PHP and MySQL on Windows and Linux environments. The project scope is outlined, including security measures. Methodologies like feasibility studies, data flow diagrams, database design, hardware/software requirements, and a project schedule are presented to develop this online shopping application.
Scaling and Modernizing Data Platform with Databricks
This document summarizes Atlassian's adoption of Databricks to manage their growing data pipelines and platforms. It discusses the challenges they faced with their previous architecture around development time, collaboration, and costs. With Databricks, Atlassian was able to build scalable data pipelines using notebooks and connectors, orchestrate workflows with Airflow, and provide self-service analytics and machine learning to teams while reducing infrastructure costs and data engineering dependencies. The key benefits included reduced development time by 30%, decreased infrastructure costs by 60%, and increased adoption of Databricks and self-service across teams.
Similar to PPT.pptx (20)
WSO2 Stream Processor: Graphical Editor, HTTP & Message Trace Analytics and m...
WSO2 Stream Processor: Graphical Editor, HTTP & Message Trace Analytics and m...
Neo4j Aura on AWS: The Customer Choice for Graph Databases
Neo4j Aura on AWS: The Customer Choice for Graph Databases
Solving Enterprise Data Challenges with Apache Arrow
Solving Enterprise Data Challenges with Apache Arrow
DataFinder: A Python Application for Scientific Data Management
DataFinder: A Python Application for Scientific Data Management
Big Data Ingestion Using Hadoop - Capstone Presentation
Big Data Ingestion Using Hadoop - Capstone Presentation
Offline strategies for HTML5 web applications - pfCongres2012
Offline strategies for HTML5 web applications - pfCongres2012
Scaling and Modernizing Data Platform with Databricks
Scaling and Modernizing Data Platform with Databricks
Recently uploaded
share - Lions, tigers, AI and health misinformation, oh my!.pptx
• Pitfalls and pivots needed to use AI effectively in public health
• Evidence-based strategies to address health misinformation effectively
• Building trust with communities online and offline
• Equipping health professionals to address questions, concerns and health misinformation
• Assessing risk and mitigating harm from adverse health narratives in communities, health workforce and health system
Part II - Body Grief: Losing parts of ourselves and our identity before, duri...
Learn about body grief and ways to cope with it. We will also explore methods to heal from this challenging experience.
A Classical Text Review on Basavarajeeyam
Basavarajeeyam is a Sreshta Sangraha grantha (Compiled book ), written by Neelkanta kotturu Basavaraja Virachita. It contains 25 Prakaranas, First 24 Chapters related to Rogas& 25th to Rasadravyas.
Efficacy of Avartana Sneha in Ayurveda
Avartana Sneha is a unique method of Preparation of Sneha Kalpana in Ayurveda, mainly it is indicated for the Vataja rogas.
Adhd Medication Shortage Uk - trinexpharmacy.com
The UK is currently facing a Adhd Medication Shortage Uk, which has left many patients and their families grappling with uncertainty and frustration. ADHD, or Attention Deficit Hyperactivity Disorder, is a chronic condition that requires consistent medication to manage effectively. This shortage has highlighted the critical role these medications play in the daily lives of those affected by ADHD. Contact : +1 (747) 209 – 3649 E-mail : sales@trinexpharmacy.com
Osteoporosis - Definition , Evaluation and Management .pdf
Osteoporosis is an increasing cause of morbidity among the elderly.
In this document , a brief outline of osteoporosis is given , including the risk factors of osteoporosis fractures , the indications for testing bone mineral density and the management of osteoporosis
Does Over-Masturbation Contribute to Chronic Prostatitis.pptx
In some case, your chronic prostatitis may be related to over-masturbation. Generally, natural medicine Diuretic and Anti-inflammatory Pill can help mee get a cure.
8 Surprising Reasons To Meditate 40 Minutes A Day That Can Change Your Life.pptx
8 Surprising Reasons To Meditate 40 Minutes A Day That Can Change Your Life.pptxHolistified Wellness
We’re talking about Vedic Meditation, a form of meditation that has been around for at least 5,000 years. Back then, the people who lived in the Indus Valley, now known as India and Pakistan, practised meditation as a fundamental part of daily life. This knowledge that has given us yoga and Ayurveda, was known as Veda, hence the name Vedic. And though there are some written records, the practice has been passed down verbally from generation to generation.Promoting Wellbeing - Applied Social Psychology - Psychology SuperNotes
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
REGULATION FOR COMBINATION PRODUCTS AND MEDICAL DEVICES.pptx
It includes regulation of combination products and medical devices. FDA and industry liaisons.
Integrating Ayurveda into Parkinson’s Management: A Holistic Approach
Explore the benefits of combining Ayurveda with conventional Parkinson's treatments. Learn how a holistic approach can manage symptoms, enhance well-being, and balance body energies. Discover the steps to safely integrate Ayurvedic practices into your Parkinson’s care plan, including expert guidance on diet, herbal remedies, and lifestyle modifications.
Cell Therapy Expansion and Challenges in Autoimmune Disease
There is increasing confidence that cell therapies will soon play a role in the treatment of autoimmune disorders, but the extent of this impact remains to be seen. Early readouts on autologous CAR-Ts in lupus are encouraging, but manufacturing and cost limitations are likely to restrict access to highly refractory patients. Allogeneic CAR-Ts have the potential to broaden access to earlier lines of treatment due to their inherent cost benefits, however they will need to demonstrate comparable or improved efficacy to established modalities.
In addition to infrastructure and capacity constraints, CAR-Ts face a very different risk-benefit dynamic in autoimmune compared to oncology, highlighting the need for tolerable therapies with low adverse event risk. CAR-NK and Treg-based therapies are also being developed in certain autoimmune disorders and may demonstrate favorable safety profiles. Several novel non-cell therapies such as bispecific antibodies, nanobodies, and RNAi drugs, may also offer future alternative competitive solutions with variable value propositions.
Widespread adoption of cell therapies will not only require strong efficacy and safety data, but also adapted pricing and access strategies. At oncology-based price points, CAR-Ts are unlikely to achieve broad market access in autoimmune disorders, with eligible patient populations that are potentially orders of magnitude greater than the number of currently addressable cancer patients. Developers have made strides towards reducing cell therapy COGS while improving manufacturing efficiency, but payors will inevitably restrict access until more sustainable pricing is achieved.
Despite these headwinds, industry leaders and investors remain confident that cell therapies are poised to address significant unmet need in patients suffering from autoimmune disorders. However, the extent of this impact on the treatment landscape remains to be seen, as the industry rapidly approaches an inflection point.
Recently uploaded (20)
share - Lions, tigers, AI and health misinformation, oh my!.pptx
share - Lions, tigers, AI and health misinformation, oh my!.pptx
Vestibulocochlear Nerve by Dr. Rabia Inam Gandapore.pptx
Vestibulocochlear Nerve by Dr. Rabia Inam Gandapore.pptx
Part II - Body Grief: Losing parts of ourselves and our identity before, duri...
Part II - Body Grief: Losing parts of ourselves and our identity before, duri...
Ear and its clinical correlations By Dr. Rabia Inam Gandapore.pptx
Ear and its clinical correlations By Dr. Rabia Inam Gandapore.pptx
Osteoporosis - Definition , Evaluation and Management .pdf
Osteoporosis - Definition , Evaluation and Management .pdf
Does Over-Masturbation Contribute to Chronic Prostatitis.pptx
Does Over-Masturbation Contribute to Chronic Prostatitis.pptx
8 Surprising Reasons To Meditate 40 Minutes A Day That Can Change Your Life.pptx
8 Surprising Reasons To Meditate 40 Minutes A Day That Can Change Your Life.pptx
Promoting Wellbeing - Applied Social Psychology - Psychology SuperNotes
Promoting Wellbeing - Applied Social Psychology - Psychology SuperNotes
Tests for analysis of different pharmaceutical.pptx
Tests for analysis of different pharmaceutical.pptx
CHEMOTHERAPY_RDP_CHAPTER 6_Anti Malarial Drugs.pdf
CHEMOTHERAPY_RDP_CHAPTER 6_Anti Malarial Drugs.pdf
REGULATION FOR COMBINATION PRODUCTS AND MEDICAL DEVICES.pptx
REGULATION FOR COMBINATION PRODUCTS AND MEDICAL DEVICES.pptx
Integrating Ayurveda into Parkinson’s Management: A Holistic Approach
Integrating Ayurveda into Parkinson’s Management: A Holistic Approach
Cell Therapy Expansion and Challenges in Autoimmune Disease
Cell Therapy Expansion and Challenges in Autoimmune Disease
PPT.pptx
- 1. Online Medi claim Developed By : Jayesh Ahir
- 2. Project Contains Project Specification Introduction SDLC Data Flow Diagram E-R Diagram Data Dictionary Screen Layout Limitations Bibliography Future Enhancements
- 3. Project Specifications Project Title : Online Mede Claim System Front End Tools : HTML, CSS, PHP, Back End Tool : IIS Operating System : Microsoft windows 10 Web Server : IIS Web Browser : chrome Editor : Brackets Hardware : 64-bit processor, 1.70 GHz, 4.00 GB RAM
- 4. System Development Strategy As per the requirement of the project, We have choose the Spiral as a strategy of developing the project, because in Spiral-SDLC model starts with a small set of requirement and goes through each development phase for those set of requirements, so the appropriate strategy is spiral model.
- 6. A data-flow diagram (DFD) is a graphical representation of the "flow" of data through an information system. DFDs can also be used for the visualization of data processing (structured design). On a DFD, data items flow from an external data source or an internal data store to an internal data store or an external data sink, via an internal process. Data Flow Diagram
- 8. UserPanel : Home Page
- 9. User Panel : About Us Page
- 10. User Panel : Services
- 11. Appointment Page
- 12. Departments
- 13. Contact Us Page
- 14. Doctors
- 15. Asked Questions
- 16. UserData
- 17. • Grey Box Testing • Grey Box testing is testing technique performed with limited information about the internal functionality of the system. Grey Box testers have access to the detailed design documents along with information about requirements. • Grey Box tests are generated based on the state-based models, UML Diagrams or architecture diagrams of the target system. Black Box White Box Gray Box Testing and Implementation
- 18. Thank You..!