Sql Question #5
•
0 likes•431 views
The document discusses updating a sequence number in one table (TBUSERDTL) to match the sequence number from another table (SEQUENCENOUPDATE) where the entity ID (eid) matches between the two tables. It provides two solutions for rewriting an SQL update statement using an inner join to work in Oracle instead of SQL Server. The second solution is noted to improve performance over the first by using an EXISTS clause instead of an IN clause.
Report
Share
Report
Share
Download to read offline
Recommended
Exponent1
1. Exponents indicate how many times a base is multiplied by itself. The laws of exponents describe how to manipulate exponents in algebraic expressions.
2. When multiplying or dividing expressions with the same base, exponents are added or subtracted. When raising a power to another exponent, the exponents are multiplied.
3. Negative exponents indicate the reciprocal of the base with a positive exponent. An exponent of zero equals one.
Donna g. bautista
The document discusses the eight laws of exponents:
1) Exponential form indicates how many times the base multiplies itself using exponents.
2) When multiplying powers with the same base, add the exponents.
3) When dividing powers with the same base, subtract the exponents.
4) When raising a power to an exponent, multiply the exponents.
Story of transactions in sql server
The document describes two techniques - deferred update and immediate update - for maintaining transaction logs to allow recovery from system crashes. It provides an example of ABC company updating employee salaries and logging the transactions. If the system crashes again, they can use the transaction log to recover the most recent state of the data.
What is Listagg?
The document discusses LISTAGG, a built-in Oracle function introduced in Oracle 11g Release 2 that allows for string aggregation. It describes LISTAGG's syntax and capabilities, provides an example of using it to aggregate employee names by department, and discusses how LISTAGG can be used as an analytic function. The document also provides a real-world example of using LISTAGG to dynamically build SQL for retrieving market sequence values.
PL/SQL11g Question #1
The document discusses the types of data that can be used with the RESULT_CACHE keyword in Oracle 11g for PL/SQL functions. It states that large objects, object types, and cursor variables cannot be used in the parameter list or return clause of a result cached function. It lists the data types that can be returned but not used as parameters, such as associative arrays, nested tables, and records.
Oracle10g External Tables
The document discusses external tables in Oracle 10g. External tables allow data from external files to be accessed directly from SQL queries without loading the data into the database. The document covers reading external tables from files, writing data to external files, and using external tables to transfer data between Oracle databases. It emphasizes that external tables provide an easier way to import and export data compared to traditional SQL*Loader methods.
Sql Question #3
The user is receiving an error when trying to create a table from a select statement on another table due to invalid dates. Exporting the data to insert statements and inserting into an empty table did not resolve the issue. It is recommended to use TOAD to export the data as insert statements to identify any records that cannot be inserted into the empty table to find the source of the invalid dates.
CHX PYTHON INTRO
The document discusses using Python at the Chicago Stock Exchange (CHX). It provides an overview of Python, comparing it to Perl, and outlines CHX's structure for using Python. This includes building reusable modules for common tasks like connecting to Oracle databases, running jobs and procedures, and sending emails. An example project is described that extracted attachments from a database using a Python template with modules. The summary advocates considering Python for future programs due to its maintainability, scalability, and ease of adoption for developers from languages like Java and C++.
Recommended
Exponent1
1. Exponents indicate how many times a base is multiplied by itself. The laws of exponents describe how to manipulate exponents in algebraic expressions.
2. When multiplying or dividing expressions with the same base, exponents are added or subtracted. When raising a power to another exponent, the exponents are multiplied.
3. Negative exponents indicate the reciprocal of the base with a positive exponent. An exponent of zero equals one.
Donna g. bautista
The document discusses the eight laws of exponents:
1) Exponential form indicates how many times the base multiplies itself using exponents.
2) When multiplying powers with the same base, add the exponents.
3) When dividing powers with the same base, subtract the exponents.
4) When raising a power to an exponent, multiply the exponents.
Story of transactions in sql server
The document describes two techniques - deferred update and immediate update - for maintaining transaction logs to allow recovery from system crashes. It provides an example of ABC company updating employee salaries and logging the transactions. If the system crashes again, they can use the transaction log to recover the most recent state of the data.
What is Listagg?
The document discusses LISTAGG, a built-in Oracle function introduced in Oracle 11g Release 2 that allows for string aggregation. It describes LISTAGG's syntax and capabilities, provides an example of using it to aggregate employee names by department, and discusses how LISTAGG can be used as an analytic function. The document also provides a real-world example of using LISTAGG to dynamically build SQL for retrieving market sequence values.
PL/SQL11g Question #1
The document discusses the types of data that can be used with the RESULT_CACHE keyword in Oracle 11g for PL/SQL functions. It states that large objects, object types, and cursor variables cannot be used in the parameter list or return clause of a result cached function. It lists the data types that can be returned but not used as parameters, such as associative arrays, nested tables, and records.
Oracle10g External Tables
The document discusses external tables in Oracle 10g. External tables allow data from external files to be accessed directly from SQL queries without loading the data into the database. The document covers reading external tables from files, writing data to external files, and using external tables to transfer data between Oracle databases. It emphasizes that external tables provide an easier way to import and export data compared to traditional SQL*Loader methods.
Sql Question #3
The user is receiving an error when trying to create a table from a select statement on another table due to invalid dates. Exporting the data to insert statements and inserting into an empty table did not resolve the issue. It is recommended to use TOAD to export the data as insert statements to identify any records that cannot be inserted into the empty table to find the source of the invalid dates.
CHX PYTHON INTRO
The document discusses using Python at the Chicago Stock Exchange (CHX). It provides an overview of Python, comparing it to Perl, and outlines CHX's structure for using Python. This includes building reusable modules for common tasks like connecting to Oracle databases, running jobs and procedures, and sending emails. An example project is described that extracted attachments from a database using a Python template with modules. The summary advocates considering Python for future programs due to its maintainability, scalability, and ease of adoption for developers from languages like Java and C++.
QQ and Advance query
This document discusses Quick Query and Advanced Query, which are basic building blocks used in DMS forms to query data. Quick Query provides a basic search capability on common fields, while Advanced Query provides a separate window for more complex queries. Both utilize common packages and libraries to validate inputs and build SQL statements dynamically based on selected columns, operators, and other parameters. The document provides examples of how to implement query functionality using these shared components.
Schedulers
This document provides an overview of different Oracle schedulers, including UC4, USS, DBMS_SCHEDULER, and Cron. It describes each scheduler's features and provides examples of how to use DBMS_SCHEDULER and Cron to schedule jobs. The document aims to help readers understand the schedulers and determine which one is best suited to their requirements.
PL/SQL Example for IF .. ELSIF
This document discusses conditional control statements in PL/SQL, specifically IF and ELSIF statements. It provides an example of rewriting multiple IF statements using ELSIF, noting that ELSIF offers more efficient implementation when conditions are mutually exclusive. The document recommends using ELSIF for mutually exclusive conditions and simplifying IF statements with boolean expressions when possible.
SQL Tuning Overview
The document discusses various tools that developers can use to tune SQL statements, including Autotrace, SQL Trace, and Explain Plan. It provides details on how each tool works and how to use and interpret the output. The document also discusses rule-based optimization and common approaches to tuning a SQL statement, such as analyzing the statement, comparing execution plans, testing performance, and using hints.
Dms 2.0 Direction
The document discusses plans to migrate an existing legacy DMS system to a new Java-based DMS 2.0 system using Oracle Application Development Framework (ADF) and JDeveloper. It provides background on the limitations of the current system, goals of leveraging newer technologies, and a recommendation to use OraFormsFaces to gradually migrate the system over three years.
Dms 2.0 Plan Proposal
The document outlines a plan to migrate an existing DMS system from Oracle Forms to Java EE using Oracle technologies. Key points of the plan include:
- Migrating the DMS system to Java over 3 years while transitioning staff skills to Java over 2 years.
- Choosing Oracle JDeveloper, Oracle ADF, and Oracle technologies like ADF Faces that leverage existing staff PL/SQL knowledge and provide strong Oracle support.
- Modernizing the user interface and exploring future enhancements like mobile and web 2.0 capabilities.
- Requiring resources like developers, an architect, DBA, and admin as well as training to complete the migration.
Toad
TOAD is a GUI development tool created by Jim McDaniel to help developers and DBAs work with Oracle databases more efficiently. It allows users to manage objects, write and debug PL/SQL code, compare files, and get insights into SQL performance. TOAD's features include a project manager, procedure editor, debugging tools, code review tools, and reporting generators to help users code, test, and maintain database solutions.
Dms Emailing Reports
DMS emailing allows users to directly email batch reports to themselves or others from an Oracle DMS system. It was implemented to provide a secure and efficient way to deliver PDF reports to users, as the previous method was to print reports and deliver them daily. DMS emailing integrates with the reporting system by making email an option in the queue manager and scheduler. It has improved reporting access for users by allowing reports to be received anytime via email rather than just overnight.
QQ And Advance Query
Quick Query is a basic component used to search fields in forms, while Advanced Query is a separate window that allows users to enter more complex criteria and filter results. Both components utilize common packages and stored procedures to dynamically build SQL statements based on the query parameters and validate user input before executing the queries and returning results. The document provides an overview of how Quick Query and Advanced Query work in the DMS system and how they can be implemented to retrieve and filter data programmatically.
Troubleshooting Batch Reports
This document discusses how to troubleshoot batch reports in Oracle. It describes what a trouble report is and provides guidance on identifying the source of problems by checking the queue manager, spooler logs, email logs, application server logs, CMN_LOG, Unix logs, and database. It also outlines steps for troubleshooting a specific problem report by determining its status, checking logs for errors, and restarting or resetting the report if needed. Trouble reports can be caused by invalid emails, reports being rescheduled before submission to the spooler, or reports being rescheduled during spooling.
Dms Reporting Criteria
This document discusses the technical design of criteria and queries used for data management systems (DMS) reporting. It describes the components that make up criteria and queries, how they work together, and limits. Criteria are portions of SQL built from user selections to meet business needs, while queries assemble criteria to build data populations for reports. Criteria and queries expire after two weeks unless used or modified, and are integrated into batch reports through query selection during report submission.
Dms Batch Reporting
Batch reporting allows users to run reports through a queue process that may run anytime or nightly. There are two main types of batch reports - Oracle reports and procedure process batches. Batch reports are made up of packages, object libraries, tables, report templates, and other components. Card and mail reports are specific types of batch reports that are used to combine and filter donor information for mailings and cards. Batch reports integrate with the online DMS system by allowing users to build queries to populate report parameters and submit batch reports from the online interface.
Dms Reporting Overview
The document provides an overview of the DMS Reporting architecture, which was developed in 2002 to replace a batch reporting system and integrate reporting capabilities into the online DMS system. It describes the key components of DMS Reporting including the database, application server, reporting engine, batch reporting, reporting criteria, and email integration. The architecture has allowed DMS to deliver a powerful and flexible reporting system to meet current and future requirements.
Dms 2 Direction
The document discusses migrating an existing DMS system to the Java platform using Oracle ADF and JDeveloper. It outlines the goals of leveraging new technology to expand functionality and prepare for future growth. Current limitations include an aging platform and difficulties with integration and resource finding. Benefits cited for the migration include lower costs, easier maintenance, and avoiding vendor lock-in. Options considered are staying on the current system or pursuing a migration plan using in-house or outsourced resources.
Dms Project
Project was the first DMS project and set many standards still used today. It introduced key features like tabs for navigation between focus areas, maintenance buttons to create and modify projects, and security applied by user role and function. The project overview screen provided a high-level description of how individual project parts fit together. Modal screens were used for maintenance to ensure tasks were completed before moving to the next screen, while non-modal screens allowed inquiry without dependencies.
Dms Acknowledgements
The document discusses an acknowledgement system used to generate letters thanking donors for pledges and payments. It is comprised of several components including packages, tables, and forms. The system takes donor transaction data, applies criteria and queries to filter the data and assign letter codes. It then combines records as needed and outputs an extract file that can be merged with letter templates. The acknowledgement process integrates with an organization's reporting system and is managed by users who define the criteria and queries.
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
OpenID AuthZEN Interop Read Out - Authorization
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
More Related Content
More from Kai Liu
QQ and Advance query
This document discusses Quick Query and Advanced Query, which are basic building blocks used in DMS forms to query data. Quick Query provides a basic search capability on common fields, while Advanced Query provides a separate window for more complex queries. Both utilize common packages and libraries to validate inputs and build SQL statements dynamically based on selected columns, operators, and other parameters. The document provides examples of how to implement query functionality using these shared components.
Schedulers
This document provides an overview of different Oracle schedulers, including UC4, USS, DBMS_SCHEDULER, and Cron. It describes each scheduler's features and provides examples of how to use DBMS_SCHEDULER and Cron to schedule jobs. The document aims to help readers understand the schedulers and determine which one is best suited to their requirements.
PL/SQL Example for IF .. ELSIF
This document discusses conditional control statements in PL/SQL, specifically IF and ELSIF statements. It provides an example of rewriting multiple IF statements using ELSIF, noting that ELSIF offers more efficient implementation when conditions are mutually exclusive. The document recommends using ELSIF for mutually exclusive conditions and simplifying IF statements with boolean expressions when possible.
SQL Tuning Overview
The document discusses various tools that developers can use to tune SQL statements, including Autotrace, SQL Trace, and Explain Plan. It provides details on how each tool works and how to use and interpret the output. The document also discusses rule-based optimization and common approaches to tuning a SQL statement, such as analyzing the statement, comparing execution plans, testing performance, and using hints.
Dms 2.0 Direction
The document discusses plans to migrate an existing legacy DMS system to a new Java-based DMS 2.0 system using Oracle Application Development Framework (ADF) and JDeveloper. It provides background on the limitations of the current system, goals of leveraging newer technologies, and a recommendation to use OraFormsFaces to gradually migrate the system over three years.
Dms 2.0 Plan Proposal
The document outlines a plan to migrate an existing DMS system from Oracle Forms to Java EE using Oracle technologies. Key points of the plan include:
- Migrating the DMS system to Java over 3 years while transitioning staff skills to Java over 2 years.
- Choosing Oracle JDeveloper, Oracle ADF, and Oracle technologies like ADF Faces that leverage existing staff PL/SQL knowledge and provide strong Oracle support.
- Modernizing the user interface and exploring future enhancements like mobile and web 2.0 capabilities.
- Requiring resources like developers, an architect, DBA, and admin as well as training to complete the migration.
Toad
TOAD is a GUI development tool created by Jim McDaniel to help developers and DBAs work with Oracle databases more efficiently. It allows users to manage objects, write and debug PL/SQL code, compare files, and get insights into SQL performance. TOAD's features include a project manager, procedure editor, debugging tools, code review tools, and reporting generators to help users code, test, and maintain database solutions.
Dms Emailing Reports
DMS emailing allows users to directly email batch reports to themselves or others from an Oracle DMS system. It was implemented to provide a secure and efficient way to deliver PDF reports to users, as the previous method was to print reports and deliver them daily. DMS emailing integrates with the reporting system by making email an option in the queue manager and scheduler. It has improved reporting access for users by allowing reports to be received anytime via email rather than just overnight.
QQ And Advance Query
Quick Query is a basic component used to search fields in forms, while Advanced Query is a separate window that allows users to enter more complex criteria and filter results. Both components utilize common packages and stored procedures to dynamically build SQL statements based on the query parameters and validate user input before executing the queries and returning results. The document provides an overview of how Quick Query and Advanced Query work in the DMS system and how they can be implemented to retrieve and filter data programmatically.
Troubleshooting Batch Reports
This document discusses how to troubleshoot batch reports in Oracle. It describes what a trouble report is and provides guidance on identifying the source of problems by checking the queue manager, spooler logs, email logs, application server logs, CMN_LOG, Unix logs, and database. It also outlines steps for troubleshooting a specific problem report by determining its status, checking logs for errors, and restarting or resetting the report if needed. Trouble reports can be caused by invalid emails, reports being rescheduled before submission to the spooler, or reports being rescheduled during spooling.
Dms Reporting Criteria
This document discusses the technical design of criteria and queries used for data management systems (DMS) reporting. It describes the components that make up criteria and queries, how they work together, and limits. Criteria are portions of SQL built from user selections to meet business needs, while queries assemble criteria to build data populations for reports. Criteria and queries expire after two weeks unless used or modified, and are integrated into batch reports through query selection during report submission.
Dms Batch Reporting
Batch reporting allows users to run reports through a queue process that may run anytime or nightly. There are two main types of batch reports - Oracle reports and procedure process batches. Batch reports are made up of packages, object libraries, tables, report templates, and other components. Card and mail reports are specific types of batch reports that are used to combine and filter donor information for mailings and cards. Batch reports integrate with the online DMS system by allowing users to build queries to populate report parameters and submit batch reports from the online interface.
Dms Reporting Overview
The document provides an overview of the DMS Reporting architecture, which was developed in 2002 to replace a batch reporting system and integrate reporting capabilities into the online DMS system. It describes the key components of DMS Reporting including the database, application server, reporting engine, batch reporting, reporting criteria, and email integration. The architecture has allowed DMS to deliver a powerful and flexible reporting system to meet current and future requirements.
Dms 2 Direction
The document discusses migrating an existing DMS system to the Java platform using Oracle ADF and JDeveloper. It outlines the goals of leveraging new technology to expand functionality and prepare for future growth. Current limitations include an aging platform and difficulties with integration and resource finding. Benefits cited for the migration include lower costs, easier maintenance, and avoiding vendor lock-in. Options considered are staying on the current system or pursuing a migration plan using in-house or outsourced resources.
Dms Project
Project was the first DMS project and set many standards still used today. It introduced key features like tabs for navigation between focus areas, maintenance buttons to create and modify projects, and security applied by user role and function. The project overview screen provided a high-level description of how individual project parts fit together. Modal screens were used for maintenance to ensure tasks were completed before moving to the next screen, while non-modal screens allowed inquiry without dependencies.
Dms Acknowledgements
The document discusses an acknowledgement system used to generate letters thanking donors for pledges and payments. It is comprised of several components including packages, tables, and forms. The system takes donor transaction data, applies criteria and queries to filter the data and assign letter codes. It then combines records as needed and outputs an extract file that can be merged with letter templates. The acknowledgement process integrates with an organization's reporting system and is managed by users who define the criteria and queries.
More from Kai Liu (16)
Recently uploaded
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
OpenID AuthZEN Interop Read Out - Authorization
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Recently uploaded (20)
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Sql Question #5
- 1. SQL Problem #5 Update statement using inner join I have two tables TBUSERDTL TL and SEQUENCENOUPDATE SU. I need to update the TL.sequence_nu to the SU.sequence_nu. The TL.eid is currently same as SU.eid so I am joining on this column.
- 2. The following update statement works fine in SQL Server: UPDATE TBUSERDTL TL SET SEQUENCE= SU.SEQUENCE_NU FROM TABLE TBUSERDTL INNER JOIN SEQUENCENOUPDATE SU ON EID = SU.EID THIS WILL NOT WORK IN ORACLE.
- 3. How do I rewrite in Oracle Solution 1: update tbuserdtl set sequence_nu =(select sequence_nu from sequencenoupdate su where tbuserdtl.eid = su.eid) where eid in (select eid from sequencenoupdate) Tbuserdtl and Sequencenoupdate. Updating sequence no in detail table from the sequencenoupdate table where eid matched.
- 4. Improve Performance Solution 2: update tbuserdtl tl set sequence_nu =(select su.sequence_nu from sequencenoupdate su where tbuserdtl.eid = su.eid) where exists (select * from sequencenoupdate su where su.eid = tl.eid)