How to enter data and export data by using Epidata entry client?
•
7 likes•2,859 views
This PPT will describe in step-wise pattern of How to enter data by using Epidata entry client software.
Report
Share
Report
Share
Recommended
How to create a Dataform by using Epidata manager software
This PPT will explain in a step by step approach about creating a Dataform using Epidata manager software.
Introduction to epi data
This document provides an introduction and overview of EpiData, including its major functions and file types. It outlines the steps for defining data and creating a questionnaire template in EpiData, including setting variable names, labels, and field types. It also describes how to add and revise checks during data entry and export a data file from EpiData.
Burden of Disease using DALYs
This document discusses Disability-Adjusted Life Years (DALYs), a measure used to quantify overall disease burden. It describes the components and methodology used to calculate DALYs, including years of life lost (YLL) and years lived with disability (YLD). Examples are provided to demonstrate how to calculate DALYs for specific health conditions or scenarios using the standard formulas that account for factors like age weighting, discounting, and disability weights. Estimates of DALYs for different age groups and countries are also mentioned.
Sextually transmitted diseases
This document provides information about sexually transmitted diseases (STDs) including common types like chlamydia, gonorrhea, syphilis, HPV, hepatitis B, herpes, and HIV. It describes how each infection is transmitted and potential symptoms. Testing and treatment options are outlined for bacterial STDs which can generally be cured with antibiotics, and viral STDs which cannot be cured but can be managed with medication. The importance of preventing STDs through abstinence, monogamy, condom use, and getting tested is also discussed.
Molecular Epidemiology of Chronic Diseases.pptx
Molecular epidemiology refers to the incorporation of molecular and biological data into epidemiological research. It aims to open the "black box" between exposure and disease by examining intermediate events. This presentation discusses the concept of molecular epidemiology, its uses in studying disease causation and biomarkers. Special study designs like nested case-control are used. Molecular epidemiology can help public health by providing more accurate understanding of disease mechanisms for prevention recommendations. It represents an opportunity for interdisciplinary collaboration to better understand chronic diseases.
Spss training notes
This document provides an overview of a training on using SPSS (Statistical Package for the Social Sciences). The training covers three sessions: [1] an introduction to SPSS including its background, definition, uses and strengths; [2] dealing with SPSS including getting started, creating a data dictionary, and entering data; and [3] data management and analysis using SPSS for exploratory, descriptive and inferential analysis. Practical exercises are included to help participants learn how to use SPSS for tasks such as data entry, sorting, selecting cases, merging files, recoding variables, and computing new variables. The overall aim is for participants to be able to use SPSS for data management and statistical analysis.
2 biostatistics presenting data
This document discusses organizing and presenting data through descriptive statistics. It describes various types of descriptive statistics including measures to condense data like frequency distributions and graphic presentations. It then provides examples and steps for creating frequency distribution tables and different types of graphs like bar charts, histograms, line graphs, scatterplots and pie charts to summarize both qualitative and quantitative data.
Epidata ppt user guide
This document provides step-by-step instructions for creating an EpiData file that includes a QES file to define variables, a REC file to enter data, and a CHECK file to set validation rules. It describes how to create the files, define variable types as numeric, text, date or auto-ID, set formatting and alignment, establish data checks, and export the finalized EpiData file to SPSS for analysis.
Recommended
How to create a Dataform by using Epidata manager software
This PPT will explain in a step by step approach about creating a Dataform using Epidata manager software.
Introduction to epi data
This document provides an introduction and overview of EpiData, including its major functions and file types. It outlines the steps for defining data and creating a questionnaire template in EpiData, including setting variable names, labels, and field types. It also describes how to add and revise checks during data entry and export a data file from EpiData.
Burden of Disease using DALYs
This document discusses Disability-Adjusted Life Years (DALYs), a measure used to quantify overall disease burden. It describes the components and methodology used to calculate DALYs, including years of life lost (YLL) and years lived with disability (YLD). Examples are provided to demonstrate how to calculate DALYs for specific health conditions or scenarios using the standard formulas that account for factors like age weighting, discounting, and disability weights. Estimates of DALYs for different age groups and countries are also mentioned.
Sextually transmitted diseases
This document provides information about sexually transmitted diseases (STDs) including common types like chlamydia, gonorrhea, syphilis, HPV, hepatitis B, herpes, and HIV. It describes how each infection is transmitted and potential symptoms. Testing and treatment options are outlined for bacterial STDs which can generally be cured with antibiotics, and viral STDs which cannot be cured but can be managed with medication. The importance of preventing STDs through abstinence, monogamy, condom use, and getting tested is also discussed.
Molecular Epidemiology of Chronic Diseases.pptx
Molecular epidemiology refers to the incorporation of molecular and biological data into epidemiological research. It aims to open the "black box" between exposure and disease by examining intermediate events. This presentation discusses the concept of molecular epidemiology, its uses in studying disease causation and biomarkers. Special study designs like nested case-control are used. Molecular epidemiology can help public health by providing more accurate understanding of disease mechanisms for prevention recommendations. It represents an opportunity for interdisciplinary collaboration to better understand chronic diseases.
Spss training notes
This document provides an overview of a training on using SPSS (Statistical Package for the Social Sciences). The training covers three sessions: [1] an introduction to SPSS including its background, definition, uses and strengths; [2] dealing with SPSS including getting started, creating a data dictionary, and entering data; and [3] data management and analysis using SPSS for exploratory, descriptive and inferential analysis. Practical exercises are included to help participants learn how to use SPSS for tasks such as data entry, sorting, selecting cases, merging files, recoding variables, and computing new variables. The overall aim is for participants to be able to use SPSS for data management and statistical analysis.
2 biostatistics presenting data
This document discusses organizing and presenting data through descriptive statistics. It describes various types of descriptive statistics including measures to condense data like frequency distributions and graphic presentations. It then provides examples and steps for creating frequency distribution tables and different types of graphs like bar charts, histograms, line graphs, scatterplots and pie charts to summarize both qualitative and quantitative data.
Epidata ppt user guide
This document provides step-by-step instructions for creating an EpiData file that includes a QES file to define variables, a REC file to enter data, and a CHECK file to set validation rules. It describes how to create the files, define variable types as numeric, text, date or auto-ID, set formatting and alignment, establish data checks, and export the finalized EpiData file to SPSS for analysis.
Statistics in medical research
1) Statistics play an important role in medical research by describing diseases, making estimates from samples, determining significance of differences and associations, and making forecasts.
2) A statistician should be consulted at the planning, data collection, and reporting stages of research. At planning, they can help frame questions, determine sample size and sampling methods, and identify variables and scales of measurement.
3) It is important to utilize statisticians properly in research by involving them in the entire process and communicating effectively between clinical and statistical perspectives.
Biostatics introduction
This document provides an introduction to biostatistics in nursing. It defines biostatistics as statistics arising from biological sciences like medicine and public health. It discusses the importance of understanding biostatistics for nurses due to the increasing use of quantitative methods in medical research and literature. The document outlines different types of data like qualitative, discrete, continuous and scales of measurement. It also demonstrates how to create a frequency distribution table to organize and summarize patient data.
Techniques in clinical epidemiology
Clinical Epidemiology is a vital science for understanding, control and prevention of health and production problems encountered daily be clinicians.
Steps epi info_training_guide
The document provides an introduction and training guide for using Epi Info software to analyze data collected using the WHO STEPS Instrument. It covers topics such as installing Epi Info, opening and navigating the software, managing variables in a data table, performing basic statistics and tables, using programs and commands, and producing outputs. The goal is to build capacity for countries to use Epi Info to analyze their STEPS data and produce STEPS Country Reports.
Cross sectional study-dr.wah
This document discusses cross-sectional studies, which measure exposure and health outcomes at the same point in time. It notes that cross-sectional studies can be descriptive, providing prevalence rates, or analytic, examining associations between exposures and outcomes. While able to generate hypotheses, cross-sectional studies cannot determine causation due to their inability to assess temporal relationships. The document also briefly touches on case reports and case series, which lack control groups for formally assessing relationships.
SPSS
SPSS is statistical analysis software. It can be used to perform a wide range of analyses from basic descriptive statistics to complex analyses like regression. The document discusses SPSS including its interface, how to define and enter data, and common analysis procedures. Key windows in the SPSS interface include the data editor, output navigator, and syntax window. Variables must be strongly defined by type before entering data. SPSS can then be used to analyze the data.
Commonly used Statistics in Medical Research Handout
We found this handout to be incredibly useful as a guide and resource for non-statistical professionals to make quick decisions about statistical methods. The handout accompanies the Commonly Used Statistics in Medical Research Part I Presentation
Antiretroviral Medication Adherence
Antiretroviral Medication Adherence
The document summarizes evidence and recommendations for improving adherence to antiretroviral (ART) medication. It discusses how adherence is critical for treatment success and preventing HIV transmission. Current adherence levels tend to be suboptimal, around 50-60% on average. Key factors that influence adherence include treatment regimen complexity, mental health issues, social support, and the patient-provider relationship. The evidence shows that adherence interventions can effectively improve adherence when they address knowledge, barriers, medication management skills, and provide ongoing support. The recommendations focus on assessing and addressing individual patient barriers, simplifying treatment regimens, maintaining open communication, and involving adherence support teams.
Measures of disease burden
Rates and proportions are used to measure disease occurrence in epidemiology. Rates indicate how frequently a disease is occurring over time, while proportions show what portion of the population is affected. Risk refers to the probability of an individual developing a disease, while rates can estimate risk if time periods are short and incidence is constant. Incidence, prevalence, and attack rates are measures used, requiring information on events, population, and time period. Incidence density accounts for individuals' varying time at risk.
Type of data
This document introduces the concept of data classification and levels of measurement in statistics. It explains that data can be either qualitative or quantitative. Qualitative data consists of attributes and labels while quantitative data involves numerical measurements. The document also outlines the four levels of measurement - nominal, ordinal, interval, and ratio - from lowest to highest. Each level allows for different types of statistical calculations, with the ratio level permitting the most complex calculations like ratios of two values.
HIV tests in adults and children
The document discusses HIV testing procedures for adults and children. It outlines the objectives of HIV testing, general principles, types of diagnostic tests, and strategies for testing. It also covers tests for diagnosing HIV in children under 18 months, including DNA PCR. Guidelines for monitoring disease progression and ART response via CD4 count and viral load testing are presented. The key aims of HIV testing are diagnosis, monitoring, and surveillance to help control the HIV epidemic.
Introduction to EpiData
This document provides an introduction to using EpiData software for creating questionnaires, entering data, and performing basic analyses. It outlines the main steps: 1) defining variable types and names, 2) developing a questionnaire file, 3) converting it to a data file for entry, 4) adding data checks, 5) entering data, 6) validating through double entry, and 7) exporting data to other programs like SPSS or Stata. The document describes how EpiData allows controlling data quality through setting ranges, jumps, and consistency checks during the entry process.
HIV (AIDS)
The document discusses HIV/AIDS, providing definitions and descriptions. It begins by defining HIV as the human immunodeficiency virus that infects and damages cells of the immune system, specifically CD4+ T cells. It then defines AIDS as acquired immunodeficiency syndrome, which is the final stage of HIV infection where the immune system is severely damaged. The document goes on to provide a brief history of HIV/AIDS, describing its identification and naming over time. It concludes by outlining global statistics on people living with HIV/AIDS and discussing the Bangladesh situation.
Validity and Reliability
This document discusses the validity and reliability of analytical tests used for screening and diagnosis. It defines key terms like sensitivity, specificity, predictive value and discusses how changing cutoff levels can impact false positives and negatives. Screening tests are used to separate populations into those with and without a disease, while considering a test's accuracy. Continuous variable tests may require an artificial cutoff versus dichotomous screening tests. The document also examines how prevalence impacts predictive value and how using multiple screening tests can improve accuracy.
An Introduction to SPSS
Basic use of SPSS (Statistical Package for Social Sciences). Measurement scales and data entry. Various types of tests and techniques.
RTIs-STIs Dr. Suraj Chawla
This document discusses syndromic management of sexually transmitted infections. It begins with background on STIs/RTIs as a major public health problem globally and in India. It then covers the objectives, approaches, advantages and limitations of syndromic case management. Syndromic management diagnoses infections based on symptom combinations and treats for all potential causes, allowing treatment at the first visit without laboratory tests. It is endorsed by WHO as a comprehensive approach for STI/RTI control.
Introduction to epidemiology and it's measurements
Epidemiology is defined as the study of the distribution and determinants of health-related states or events in specified populations. It has three main components - distribution, determinants, and frequency. Measurement of disease frequency involves quantifying disease occurrence and is a prerequisite for epidemiological investigation. Rates, ratios, and proportions are key tools used to measure disease frequency and distribution. Incidence rates measure new cases over time while prevalence rates measure existing cases. These measurements are essential for describing disease patterns, formulating hypotheses, and evaluating prevention programs.
Clinical epidemiology
This document outlines a presentation on clinical epidemiology. It begins with an introduction to clinical epidemiology, noting that it was introduced in 1938 as a "new basic science for preventive medicine" and shifted its focus to individual patients in the 1960s. The document then defines clinical epidemiology as "the science of making predictions about individual patients by counting clinical events in similar patients." It discusses why clinical epidemiology is important for clinical decision making and avoiding bias. The rest of the document outlines topics to be covered, including uses of clinical epidemiology, sensitivity and specificity, predictive values, ROC curve analysis, and likelihood ratios.
Spss
This document provides an introduction to SPSS (Statistical Package for Social Sciences) software. It discusses opening and closing SPSS, the structure and windows of SPSS including the Data View and Variable View windows for entering data. It defines key concepts in SPSS like variables, different types of variables (nominal, ordinal, interval, ratio), and the process of defining variables in the Variable View window by specifying name, type, width, labels, values etc. before entering data. Examples are given around designing an experiment with independent and dependent variables and dealing with extraneous variables.
Hiv aids
The document discusses HIV/AIDS, providing details on:
- What HIV/AIDS is, how it is caused by the HIV virus, and how it progresses by weakening the immune system.
- The global history of HIV/AIDS, including its origins and key developments such as the identification of the virus and development of blood tests.
- Global statistics on people living with HIV/AIDS and new infections as of 2019.
- Modes of HIV transmission including unprotected sex, contaminated blood transfusions, and mother-to-child transmission.
Strata+hadoop data kitchen-seven-steps-to-high-velocity-data-analytics-with d...
The document outlines seven steps for implementing DataOps to help analytic teams deliver insights faster with higher quality. The steps are: 1) add data and logic tests, 2) use a version control system, 3) branch and merge, 4) use multiple environments, 5) reuse and containerize components, 6) parameterize processing, and 7) use simple storage. A case study example describes how one data engineer supports 12 analysts making weekly schema changes without issues using DataOps.
Fri benghiat gil-odsc-data-kitchen-data science to dataops
This document outlines seven steps for transitioning from data science to data operations (DataOps):
1. Orchestrate the data science and production workflows.
2. Add testing at each step to monitor quality.
3. Use a version control system to manage code changes.
4. Implement branching and merging to allow parallel development.
5. Maintain separate environments for experiments, development and production.
6. Containerize components and practice environment version control.
7. Parameterize processes to increase flexibility and reuse.
More Related Content
What's hot
Statistics in medical research
1) Statistics play an important role in medical research by describing diseases, making estimates from samples, determining significance of differences and associations, and making forecasts.
2) A statistician should be consulted at the planning, data collection, and reporting stages of research. At planning, they can help frame questions, determine sample size and sampling methods, and identify variables and scales of measurement.
3) It is important to utilize statisticians properly in research by involving them in the entire process and communicating effectively between clinical and statistical perspectives.
Biostatics introduction
This document provides an introduction to biostatistics in nursing. It defines biostatistics as statistics arising from biological sciences like medicine and public health. It discusses the importance of understanding biostatistics for nurses due to the increasing use of quantitative methods in medical research and literature. The document outlines different types of data like qualitative, discrete, continuous and scales of measurement. It also demonstrates how to create a frequency distribution table to organize and summarize patient data.
Techniques in clinical epidemiology
Clinical Epidemiology is a vital science for understanding, control and prevention of health and production problems encountered daily be clinicians.
Steps epi info_training_guide
The document provides an introduction and training guide for using Epi Info software to analyze data collected using the WHO STEPS Instrument. It covers topics such as installing Epi Info, opening and navigating the software, managing variables in a data table, performing basic statistics and tables, using programs and commands, and producing outputs. The goal is to build capacity for countries to use Epi Info to analyze their STEPS data and produce STEPS Country Reports.
Cross sectional study-dr.wah
This document discusses cross-sectional studies, which measure exposure and health outcomes at the same point in time. It notes that cross-sectional studies can be descriptive, providing prevalence rates, or analytic, examining associations between exposures and outcomes. While able to generate hypotheses, cross-sectional studies cannot determine causation due to their inability to assess temporal relationships. The document also briefly touches on case reports and case series, which lack control groups for formally assessing relationships.
SPSS
SPSS is statistical analysis software. It can be used to perform a wide range of analyses from basic descriptive statistics to complex analyses like regression. The document discusses SPSS including its interface, how to define and enter data, and common analysis procedures. Key windows in the SPSS interface include the data editor, output navigator, and syntax window. Variables must be strongly defined by type before entering data. SPSS can then be used to analyze the data.
Commonly used Statistics in Medical Research Handout
We found this handout to be incredibly useful as a guide and resource for non-statistical professionals to make quick decisions about statistical methods. The handout accompanies the Commonly Used Statistics in Medical Research Part I Presentation
Antiretroviral Medication Adherence
Antiretroviral Medication Adherence
The document summarizes evidence and recommendations for improving adherence to antiretroviral (ART) medication. It discusses how adherence is critical for treatment success and preventing HIV transmission. Current adherence levels tend to be suboptimal, around 50-60% on average. Key factors that influence adherence include treatment regimen complexity, mental health issues, social support, and the patient-provider relationship. The evidence shows that adherence interventions can effectively improve adherence when they address knowledge, barriers, medication management skills, and provide ongoing support. The recommendations focus on assessing and addressing individual patient barriers, simplifying treatment regimens, maintaining open communication, and involving adherence support teams.
Measures of disease burden
Rates and proportions are used to measure disease occurrence in epidemiology. Rates indicate how frequently a disease is occurring over time, while proportions show what portion of the population is affected. Risk refers to the probability of an individual developing a disease, while rates can estimate risk if time periods are short and incidence is constant. Incidence, prevalence, and attack rates are measures used, requiring information on events, population, and time period. Incidence density accounts for individuals' varying time at risk.
Type of data
This document introduces the concept of data classification and levels of measurement in statistics. It explains that data can be either qualitative or quantitative. Qualitative data consists of attributes and labels while quantitative data involves numerical measurements. The document also outlines the four levels of measurement - nominal, ordinal, interval, and ratio - from lowest to highest. Each level allows for different types of statistical calculations, with the ratio level permitting the most complex calculations like ratios of two values.
HIV tests in adults and children
The document discusses HIV testing procedures for adults and children. It outlines the objectives of HIV testing, general principles, types of diagnostic tests, and strategies for testing. It also covers tests for diagnosing HIV in children under 18 months, including DNA PCR. Guidelines for monitoring disease progression and ART response via CD4 count and viral load testing are presented. The key aims of HIV testing are diagnosis, monitoring, and surveillance to help control the HIV epidemic.
Introduction to EpiData
This document provides an introduction to using EpiData software for creating questionnaires, entering data, and performing basic analyses. It outlines the main steps: 1) defining variable types and names, 2) developing a questionnaire file, 3) converting it to a data file for entry, 4) adding data checks, 5) entering data, 6) validating through double entry, and 7) exporting data to other programs like SPSS or Stata. The document describes how EpiData allows controlling data quality through setting ranges, jumps, and consistency checks during the entry process.
HIV (AIDS)
The document discusses HIV/AIDS, providing definitions and descriptions. It begins by defining HIV as the human immunodeficiency virus that infects and damages cells of the immune system, specifically CD4+ T cells. It then defines AIDS as acquired immunodeficiency syndrome, which is the final stage of HIV infection where the immune system is severely damaged. The document goes on to provide a brief history of HIV/AIDS, describing its identification and naming over time. It concludes by outlining global statistics on people living with HIV/AIDS and discussing the Bangladesh situation.
Validity and Reliability
This document discusses the validity and reliability of analytical tests used for screening and diagnosis. It defines key terms like sensitivity, specificity, predictive value and discusses how changing cutoff levels can impact false positives and negatives. Screening tests are used to separate populations into those with and without a disease, while considering a test's accuracy. Continuous variable tests may require an artificial cutoff versus dichotomous screening tests. The document also examines how prevalence impacts predictive value and how using multiple screening tests can improve accuracy.
An Introduction to SPSS
Basic use of SPSS (Statistical Package for Social Sciences). Measurement scales and data entry. Various types of tests and techniques.
RTIs-STIs Dr. Suraj Chawla
This document discusses syndromic management of sexually transmitted infections. It begins with background on STIs/RTIs as a major public health problem globally and in India. It then covers the objectives, approaches, advantages and limitations of syndromic case management. Syndromic management diagnoses infections based on symptom combinations and treats for all potential causes, allowing treatment at the first visit without laboratory tests. It is endorsed by WHO as a comprehensive approach for STI/RTI control.
Introduction to epidemiology and it's measurements
Epidemiology is defined as the study of the distribution and determinants of health-related states or events in specified populations. It has three main components - distribution, determinants, and frequency. Measurement of disease frequency involves quantifying disease occurrence and is a prerequisite for epidemiological investigation. Rates, ratios, and proportions are key tools used to measure disease frequency and distribution. Incidence rates measure new cases over time while prevalence rates measure existing cases. These measurements are essential for describing disease patterns, formulating hypotheses, and evaluating prevention programs.
Clinical epidemiology
This document outlines a presentation on clinical epidemiology. It begins with an introduction to clinical epidemiology, noting that it was introduced in 1938 as a "new basic science for preventive medicine" and shifted its focus to individual patients in the 1960s. The document then defines clinical epidemiology as "the science of making predictions about individual patients by counting clinical events in similar patients." It discusses why clinical epidemiology is important for clinical decision making and avoiding bias. The rest of the document outlines topics to be covered, including uses of clinical epidemiology, sensitivity and specificity, predictive values, ROC curve analysis, and likelihood ratios.
Spss
This document provides an introduction to SPSS (Statistical Package for Social Sciences) software. It discusses opening and closing SPSS, the structure and windows of SPSS including the Data View and Variable View windows for entering data. It defines key concepts in SPSS like variables, different types of variables (nominal, ordinal, interval, ratio), and the process of defining variables in the Variable View window by specifying name, type, width, labels, values etc. before entering data. Examples are given around designing an experiment with independent and dependent variables and dealing with extraneous variables.
Hiv aids
The document discusses HIV/AIDS, providing details on:
- What HIV/AIDS is, how it is caused by the HIV virus, and how it progresses by weakening the immune system.
- The global history of HIV/AIDS, including its origins and key developments such as the identification of the virus and development of blood tests.
- Global statistics on people living with HIV/AIDS and new infections as of 2019.
- Modes of HIV transmission including unprotected sex, contaminated blood transfusions, and mother-to-child transmission.
What's hot (20)
Commonly used Statistics in Medical Research Handout
Commonly used Statistics in Medical Research Handout
Introduction to epidemiology and it's measurements
Introduction to epidemiology and it's measurements
Similar to How to enter data and export data by using Epidata entry client?
Strata+hadoop data kitchen-seven-steps-to-high-velocity-data-analytics-with d...
The document outlines seven steps for implementing DataOps to help analytic teams deliver insights faster with higher quality. The steps are: 1) add data and logic tests, 2) use a version control system, 3) branch and merge, 4) use multiple environments, 5) reuse and containerize components, 6) parameterize processing, and 7) use simple storage. A case study example describes how one data engineer supports 12 analysts making weekly schema changes without issues using DataOps.
Fri benghiat gil-odsc-data-kitchen-data science to dataops
This document outlines seven steps for transitioning from data science to data operations (DataOps):
1. Orchestrate the data science and production workflows.
2. Add testing at each step to monitor quality.
3. Use a version control system to manage code changes.
4. Implement branching and merging to allow parallel development.
5. Maintain separate environments for experiments, development and production.
6. Containerize components and practice environment version control.
7. Parameterize processes to increase flexibility and reuse.
ODSC data science to DataOps
This document outlines seven steps for transitioning from data science to data operations (DataOps):
1. Orchestrate the data science and production workflows.
2. Add testing at each step to monitor quality.
3. Use a version control system to manage code changes.
4. Implement branching and merging to allow parallel development.
5. Maintain separate environments for experiments, development and production.
6. Containerize components and practice environment version control.
7. Parameterize processes to increase flexibility and reuse.
Working with data.pdf
The document describes Amihan Global Strategies' Data Science and Engineering team. The 6-person team is composed of data analysts and engineers who help clients with digital transformation. They create analytics use cases using the Amihan Analyze big data stack and work on projects in industries like insurance, banking, and telecommunications. The team's daily activities include standups, internal R&D, sales support, and project work. They also conduct upskilling activities.
Shivraj MCA Evaluation 2010981527.pptx
The document summarizes a project presentation given by Shivraj Shiv for their Masters/Bachelors of Computer Applications program. The presentation was given under the supervision of Mr. Aru Bhardwaj, Director of the Department of Computer Applications. The project involved collaborating with a FinTech company to clean customer credit card purchasing data over the past year using Python libraries like NumPy and Pandas in order to provide a forecast of customer behaviors through deep learning. The data cleaning process involved importing libraries, inputting the customer feedback dataset, locating missing data, checking for duplicates, normalizing casing, and describing basic commands like importing, inputting data, checking for missing values and duplicates, detecting outliers, and normalizing casing. An
10 Tips to Pass Salesforce Security Review (and Steps to Take If You Don’t!)
The Security Review process is the final step every ISV must complete before they can bring their app to market on the AppExchange. Yet it’s not uncommon for ISVs to fail on their first attempt. For many, it can take 2 to 3 more tries to pass, delaying your time to market.
But Security Review doesn’t have to be a mystery! In this webinar, Salesforce Security Review Operation Analyst, Lubdha Dahale, joins CodeScience ISV Specialist, Jeremy Engler, and CodeScience Global Alliances Manager, Erin Murray, to de-mystify the Sec Rev process and provide actionable advice to help you succeed.
WEBINAR: Proven Patterns for Loading Test Data for Managed Package Testing
Scratch orgs are extremely valuable tools for Salesforce developers, but due to their individual, disposable nature, a source of truth for QA data is often not accounted for. Without a single repository for QA data, many developers may be testing against incomplete data sets, skewing their results. In our latest tech webinar, we discuss implications planning for QA data can have on Salesforce development.
In this webinar, you will learn:
- Why it’s essential to have a plan in place early on how to deploy data to scratch orgs and QA orgs.
- Shortcuts which can inadvertently hide bugs that don't manifest until tested with real data, and lengthen the time it takes to complete a task.
- Strategies for maintaining data models as projects progress and as data is added or removed to stay realistic and current.
CodeScience Lead Salesforce Developer, Bobby Tamburrino will dive into these topics and provide key insights that can help ISVs succeed on the AppExchange.
How to Use Your Existing ODI On-Premise to Seamlessly Integrate PBCS
Oracle Cloud services products, including Planning and Budget Cloud Service (PBCS), enables companies to focus on their own business instead of spending money and resources on maintaining big IT infrastructures. It also gives them the possibility to be connected 24x7 from any place in the world.
But what happens if this company already has an ODI on-premise infrastructure and they want to integrate the new PBCS with it? Can we use our existing ODI on-premise? How hard is to accomplish this?
This session will show how to use your ODI on-premise to integrate and orchestrate your PBCS seamlessly.
Biz Analyst Desktop App Setup
The document provides steps to set up a Biz Analyst desktop app to sync data from a Tally ERP 9 installation to mobile devices. It involves downloading the desktop app, creating a user account, enabling the ODBC port in Tally, entering the Tally server details in the app, selecting companies for syncing, and allowing 10-15 minutes for initial data sync. The desktop app then continuously syncs changes from the open Tally companies to provide business intelligence on mobile.
Python id meetup, Maintaining a Dirty Code Django Project
This document discusses the steps taken to upgrade an outdated and undocumented Django project. It describes identifying issues like outdated libraries, lack of support/maintenance, and technical debt. The key steps taken were: 1) upgrading Django version to modernize the codebase; 2) splitting large modules to improve structure; 3) cleaning code by setting up CI/Git, analyzing for issues, writing tests, and fixing warnings; and 4) optimizing the database by checking defaults, comparing models/database, and updating the database. Overall the upgrade improved security, performance, built-in features and eased future modifications.
pdlc
The document describes the program development life cycle (PDLC), which is a six-step process for developing computer programs: 1) analyze the problem, 2) design the solution, 3) code the program, 4) test the program, 5) formalize the solution, and 6) maintain the program. The PDLC involves analyzing requirements, designing the program structure and logic, implementing the program, testing it for errors, documenting the solution, and maintaining the working program.
Develop MS Office Plugins
For Developers working on Microsoft technologies and want to learn how to create MS Office Plugins from scratch.
Office Management System
This document provides an overview of an office management system project for IPPL- Islam Polimars & Plasticizers LTD. It includes organizational details, project requirements, analysis and design documents, a project plan and schedule, cost estimation, and risk management strategies. The system will automate employee, attendance, leave, and payroll management to help the organization run more efficiently. Functional and non-functional requirements, use case diagrams, activity diagrams, data flow diagrams, and an entity relationship diagram were developed to design the system. The project is estimated to cost $38,750 and risks like technical issues, personnel changes, and budget constraints will be mitigated through backups, skill assessments, and regular risk monitoring.
The Pennsylvania State University: Modernizing and Standardizing the Penn Sta...
The Penn State University payroll system modernization project aimed to (1) reduce risks from the old payroll system written in multiple languages, (2) modularize and increase flexibility of the new system, and (3) implement a single technology. The project established a modern development environment, converted non-Natural code to Natural, and modernized the application through analysis and updating the data model, business logic, and code. Key accomplishments included converting the COBOL compute module to Natural and implementing enhancements like electronic voucher distribution and exception reporting.
Saptarshi_Mondal
Saptarshi Mondal is seeking a challenging position as an SAP ABAP Developer. He currently works at Collabera Technology Pvt Limited as an SAP ABAP Developer. He has over 5 years of experience working on various SAP modules including ECC, ABAP, Smartforms, BDC, BAPI, IDOC, and more. Some of his project experience includes working on data migration, interface development, and master data upload for clients such as Friesland Campina and IBM India Pvt Ltd.
9.24.15 Aetna Ascend VSO Training Presentation
Training for Aetna agents to use the Ascend Virtual Sales Office technology suite. Includes online enrollment tools, resources and information on the telephonic scope of appointment.
Bdc BATCH DATA COMMUNICATION
BDC BATCH DATA CONVERSION: A Technique used to transfer data from NON SAP to SAP and from SAP to SAP.
SAP ABAP
Best EDB to PST converter tool
Use portable GUI software to move EDB data file to Outlook PST format with all mail & attachments. This application can allow users to migrate single or multiple mailboxes from EDB to Outlook PST format. You can also use EDB converter demo and migrate up to 50 items per folder. Get more info: https://www.mailsdaddy.com/edb-to-pst-converter/
AppDynamics User Group
The document discusses how AppDynamics helped a healthcare software company successfully integrate two different codebases and architectures during a major project. AppDynamics identified performance bottlenecks that were addressed, improving response times. It also increased trust between engineering, QA and operations by providing a shared view of metrics. The company plans to implement additional monitoring tools like AppDynamics EUM and Sumologic going forward.
Memphis php html form processing with php
This document discusses best practices for processing HTML forms with PHP. It begins by introducing the presenter and describing common types of forms. It then discusses how to safely, securely, and reliably get input from users, emphasizing the importance of sanitizing and validating user data to prevent vulnerabilities like SQL injection. It provides examples of bad code and explains why it is insecure. The document then demonstrates how to properly sanitize and validate form input in PHP to avoid these risks. It concludes by offering tips, tricks, and additional resources on secure form handling.
Similar to How to enter data and export data by using Epidata entry client? (20)
Strata+hadoop data kitchen-seven-steps-to-high-velocity-data-analytics-with d...
Strata+hadoop data kitchen-seven-steps-to-high-velocity-data-analytics-with d...
Fri benghiat gil-odsc-data-kitchen-data science to dataops
Fri benghiat gil-odsc-data-kitchen-data science to dataops
10 Tips to Pass Salesforce Security Review (and Steps to Take If You Don’t!)
10 Tips to Pass Salesforce Security Review (and Steps to Take If You Don’t!)
WEBINAR: Proven Patterns for Loading Test Data for Managed Package Testing
WEBINAR: Proven Patterns for Loading Test Data for Managed Package Testing
How to Use Your Existing ODI On-Premise to Seamlessly Integrate PBCS
How to Use Your Existing ODI On-Premise to Seamlessly Integrate PBCS
Python id meetup, Maintaining a Dirty Code Django Project
Python id meetup, Maintaining a Dirty Code Django Project
The Pennsylvania State University: Modernizing and Standardizing the Penn Sta...
The Pennsylvania State University: Modernizing and Standardizing the Penn Sta...
Recently uploaded
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
Intelligence supported media monitoring in veterinary medicine
Media monitoring in veterinary medicien
State of Artificial intelligence Report 2023
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
毕业原版【微信:41543339】【(Glasgow毕业证书)格拉斯哥大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Experts live - Improving user adoption with AI
Bekijk de slides van onze sessie Enhancing Modern Workplace Efficiency op Experts Live 2024.
The Ipsos - AI - Monitor 2024 Report.pdf
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Population Growth in Bataan: The effects of population growth around rural pl...
A population analysis specific to Bataan.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
by
Timothy Spann
Principal Developer Advocate
https://budapestdata.hu/2024/en/
https://budapestml.hu/2024/en/
tim.spann@zilliz.com
https://www.linkedin.com/in/timothyspann/
https://x.com/paasdev
https://github.com/tspannhw
https://www.youtube.com/@flank-stack
milvus
vector database
gen ai
generative ai
deep learning
machine learning
apache nifi
apache pulsar
apache kafka
apache flink
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理
毕业原版【微信:41543339】【(Harvard毕业证书)哈佛大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
毕业原版【微信:41543339】【(Coventry毕业证书)考文垂大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(牛布毕业证书)牛津布鲁克斯大学毕业证如何办理
毕业原版【微信:41543339】【(牛布毕业证书)牛津布鲁克斯大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
DSSML24_tspann_CodelessGenerativeAIPipelines
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Recently uploaded (20)
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
Influence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business Plan
Intelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicine
Udemy_2024_Global_Learning_Skills_Trends_Report (1).pdf
Udemy_2024_Global_Learning_Skills_Trends_Report (1).pdf
Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...
A presentation that explain the Power BI Licensing
A presentation that explain the Power BI Licensing
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
How to enter data and export data by using Epidata entry client?
- 1. How to enter data in Epidata entry client software and export of data Dr. Nitin Y Dhupdale Lecturer Department of PSM Goa Medical College Bambolim – Goa India
- 2. Objectives • How to enter data in client entry software? • How to export data to SPSS software?
- 3. Remember……………… • Without installing epidata client entry software you cant enter data
- 4. Double click on Epidata entry client
- 5. Foremost • Close your project file in Epidata Manager software otherwise……..
- 6. Alternatively …………. Double click on the enter data in Epidata Manager
- 7. To open a file in Entry client: Go to open project open project/open recent
- 8. Your data entry template Has opened. Now you are All set to start data Entry.
- 9. Serial number is auto entered, in Increasing order Date of data entry is auto entered: todays date Red means Must enter
- 10. Once whole data is Entered in one record, Please save it on the Hard disk
- 11. First record is visible
- 12. We have entered five records
- 13. After completion of data entry, Save the project
- 14. End: Exit
- 15. How to export data to SPSS software •Open epidata manager Click on the export
- 16. Select the correct file
- 17. If you are exporting to Spss then use stata
- 18. Select the destination file Carefully to prevent misplacing
- 19. Check the correct Final destination of saving file
- 21. This is export report
- 22. To open file in SPSS….. •You should have spss software on your system
- 30. Now you are ready for Data analysis
- 31. Notice • Finally………..as a reward……….those who have completed their home assignment will get a certificate of participation