This document discusses debugging SQL Server Integration Services (SSIS) packages. It describes various debugging techniques in SSIS including using debug windows, breakpoints, script task debugging, data viewers, and row count transformations. It also provides demos of introducing breakpoints, working with breakpoints, debugging a script task, using the various data viewers, and the row count transformation. The document is presented by Pramod Singla and includes his contact information and links to Microsoft resources on SSIS debugging.
The document discusses the use of scripting in SQL Server Integration Services (SSIS). It covers how scripts allow extending package functionality beyond default tasks. Specific topics covered include using scripts to manage packages programmatically via the object model or command line utilities, configuring script tasks, using the log method and handling events from within a script task, and creating a data transformation script component. Demos are provided for various scripting features.
2\9.SSIS 2008R2 _Training - Control FlowPramod Singla
This document provides an overview of SQL Server Integration Services (SSIS) including its components, features, and demos. It discusses SSIS packages, control flow and data flow, tasks, containers, precedence constraints, and connection managers. It also mentions importing and exporting data using the Import/Export Wizard or Business Intelligence Development Studio (BIDS). Finally, it lists demo packages for containers and precedence constraints and contact information for questions.
This document outlines various SQL Server Integration Services (SSIS) tasks, including bulk insert, execute SQL, transfer database, transfer logins, transfer stored procedures, and transfer SQL server objects. It also covers database maintenance tasks such as backup database, execute SQL agent jobs, history cleanup, rebuild indexes, and update statistics. Demonstrations are provided for many of the tasks. The document concludes with contact information for the presenter and links to Microsoft resources on SSIS.
4\9 SSIS 2008R2_Training - Expression and VariablesPramod Singla
This document discusses variables and expressions in SSIS packages. It begins with an introduction and Q&A section on variables and their uses. It then demonstrates how to work with variables using the Variables window and in Execute SQL tasks. Expressions are introduced as combinations of symbols that evaluate to single values. Demos are presented on creating time stamped log files, using operators with variables, and using variables and expressions in tasks, connection managers, and precedence constraints. The document concludes with a summary of the topics covered and resources for further information.
The document discusses SQL Server Integration Services (SSIS) tasks. It describes different types of tasks in SSIS including data flow tasks, data preparation tasks, workflow tasks, SQL server tasks, scripting tasks, analysis services tasks, and maintenance tasks. It provides examples of specific tasks like the file system task, FTP task, XML task, data profiling task, execute package task, WMI data reader task, and execute process task. The document concludes with a demo of control flow tasks.
Tech talk about scalable architectures with React and Redux.
We take a walk on problems that React proposes to solve and in which situations the Redux is indicated.
We dive deep into patterns of organization and structuring of projects React and Redux focusing on scalability and maintainability.
When developing applications we have a hard time managing application state, and that is okay because managing application state is hard. We will try to make it easier using Redux.
Redux is predictable state management container for JavaScript applications that helps us manage our state while also making our state mutations predictable.
Through the presentation and code, I will show you how I solved my state problem with Redux in React application.
This document discusses debugging SQL Server Integration Services (SSIS) packages. It describes various debugging techniques in SSIS including using debug windows, breakpoints, script task debugging, data viewers, and row count transformations. It also provides demos of introducing breakpoints, working with breakpoints, debugging a script task, using the various data viewers, and the row count transformation. The document is presented by Pramod Singla and includes his contact information and links to Microsoft resources on SSIS debugging.
The document discusses the use of scripting in SQL Server Integration Services (SSIS). It covers how scripts allow extending package functionality beyond default tasks. Specific topics covered include using scripts to manage packages programmatically via the object model or command line utilities, configuring script tasks, using the log method and handling events from within a script task, and creating a data transformation script component. Demos are provided for various scripting features.
2\9.SSIS 2008R2 _Training - Control FlowPramod Singla
This document provides an overview of SQL Server Integration Services (SSIS) including its components, features, and demos. It discusses SSIS packages, control flow and data flow, tasks, containers, precedence constraints, and connection managers. It also mentions importing and exporting data using the Import/Export Wizard or Business Intelligence Development Studio (BIDS). Finally, it lists demo packages for containers and precedence constraints and contact information for questions.
This document outlines various SQL Server Integration Services (SSIS) tasks, including bulk insert, execute SQL, transfer database, transfer logins, transfer stored procedures, and transfer SQL server objects. It also covers database maintenance tasks such as backup database, execute SQL agent jobs, history cleanup, rebuild indexes, and update statistics. Demonstrations are provided for many of the tasks. The document concludes with contact information for the presenter and links to Microsoft resources on SSIS.
4\9 SSIS 2008R2_Training - Expression and VariablesPramod Singla
This document discusses variables and expressions in SSIS packages. It begins with an introduction and Q&A section on variables and their uses. It then demonstrates how to work with variables using the Variables window and in Execute SQL tasks. Expressions are introduced as combinations of symbols that evaluate to single values. Demos are presented on creating time stamped log files, using operators with variables, and using variables and expressions in tasks, connection managers, and precedence constraints. The document concludes with a summary of the topics covered and resources for further information.
The document discusses SQL Server Integration Services (SSIS) tasks. It describes different types of tasks in SSIS including data flow tasks, data preparation tasks, workflow tasks, SQL server tasks, scripting tasks, analysis services tasks, and maintenance tasks. It provides examples of specific tasks like the file system task, FTP task, XML task, data profiling task, execute package task, WMI data reader task, and execute process task. The document concludes with a demo of control flow tasks.
Tech talk about scalable architectures with React and Redux.
We take a walk on problems that React proposes to solve and in which situations the Redux is indicated.
We dive deep into patterns of organization and structuring of projects React and Redux focusing on scalability and maintainability.
When developing applications we have a hard time managing application state, and that is okay because managing application state is hard. We will try to make it easier using Redux.
Redux is predictable state management container for JavaScript applications that helps us manage our state while also making our state mutations predictable.
Through the presentation and code, I will show you how I solved my state problem with Redux in React application.
This document provides an overview of data flow basics in SQL Server Integration Services (SSIS). It discusses the data flow task, pipeline architecture, various data sources including ADO.NET, Excel, flat file, OLE DB, XML, and raw file sources. It also covers data destinations such as OLE DB, DataReader, Excel, flat file, and SQL Server destinations. Finally, it reviews Analysis Services destinations for dimension processing and partition processing and includes demos of various sources and destinations.
Basic concepts of React, Flux, Redux and the most important ES2015 (ES6) features.
Presentation on Github pages: http://lingvokot.github.io/React-Redux-ES6-presentation/
This document provides an introduction to React and Redux frameworks. It discusses JavaScript components and state management with React as well as Redux for managing application state through actions, reducers, and a central store. The document also covers related topics like functional programming, smart and dumb components, and React Native platforms.
This document provides an overview of React and Redux. It discusses React as a JavaScript library for building user interfaces using components. It describes how React uses a virtual DOM to render components efficiently. It also discusses Redux as a state management pattern inspired by Flux that uses a single state tree and pure reducer functions to update the state in response to actions. The document outlines the basic Redux workflow of dispatching actions, passing them to reducer functions to compute a new state, and passing the new state back to the views to update.
- React is a JavaScript library for building user interfaces that uses a virtual DOM for faster re-rendering on state changes.
- Everything in React is a component that can have states, props, and lifecycle methods like render(). Components return JSX elements.
- Props are used for passing data to components in a unidirectional flow, while states allow components to re-render on changes.
- The render() method returns the view, accessing props and state values. Forms and events also follow React conventions.
This document provides an introduction to React for developers. It explains that React is a JavaScript library for building user interfaces developed by Facebook. It then covers key React concepts like components, props, state, rendering, and the virtual DOM. It also discusses tools and patterns for architecting React apps like Flux, Redux, routing, internationalization, and async logic. Finally, it recommends designing state carefully, using standards like Flux Standard Action, avoiding side effects in reducers, and leveraging tools like React DevTools.
My React TechTalk with Jordan open source association on Sep 13-2017 @Zinc , KHBP.
Session source code :
https://github.com/ali-sao/Better-web-apps-with-react-redux-.git
Introduction to React in combination with Redux. Redux helps you to develop applications in a simple way while having features like time-travel available during development.
This document provides an introduction to React.js, including:
- React.js uses a virtual DOM for improved performance over directly manipulating the real DOM. Components are used to build up the UI and can contain state that updates the view on change.
- The Flux architecture is described using React with unidirectional data flow from Actions to Stores to Views via a Dispatcher. This ensures state changes in a predictable way.
- Setting up React with tools like Browserify/Webpack for module bundling is discussed, along with additional topics like PropTypes, mixins, server-side rendering and React Native.
Redux - idealne dopełnienie Reacta. Prezentacja przedstawiona na warsztatach z podstaw technologii Redux w ramach DreamLab Academy.
W razie pytań zapraszamy do kontaktu academy@dreamlab.pl
The presentation has been part of DreamLab Academy workshop on Redux. For more details get in touch - academy@dreamlab.pl
This is the first half of a presentation I gave at Squares Conference 2015 where I provided a brief introduction to React JS, then did live coding for 20 minutes to show more of the specifics of usage. Your milage may vary as the live code part was where the bulk of the teaching happened!
This document discusses React component lifecycles and how React performs efficient re-renders. It explains the different lifecycle methods like componentWillMount, componentDidMount, etc. It then discusses how React batches state updates and only re-renders components when necessary using techniques like shouldComponentUpdate. It also explains React's reconciliation algorithm which intelligently updates the DOM by diffing virtual DOM trees in an efficient way when keys are provided. Overall the document provides an overview of key techniques React uses to optimize re-rendering for performance.
This document provides an introduction to React and Redux. It defines a single-page application as one that works within a browser without page reloads. React is introduced as a JavaScript library for building user interfaces using components with one-way data flow and a virtual DOM. Redux is a tool for managing application state that uses a single store, immutable state changes via actions, and pure reducer functions. The document also explains how React and Redux are integrated using the React Redux library and connect function. Key concepts such as JSX, props, state, lifecycle methods and the three principles of Redux are summarized.
This document introduces React, describing it as a JavaScript library for building user interfaces by rendering components rather than mutating the DOM directly. It discusses how React uses a virtual DOM for fast re-rendering, building components instead of templates, and the use of JSX syntax to write HTML-like code. Components have state and props, and the whole app re-renders when state changes to guarantee updates.
React is a JavaScript library for building user interfaces. It uses a component-based approach where UI is broken into independent, reusable pieces called components. Components are like functions that return markup describing part of a view. React uses a virtual DOM to efficiently update the real DOM by only making necessary changes. This improves performance by avoiding expensive DOM operations and minimizing DOM access. Components receive data and callbacks through properties and local state is updated using setState(), triggering a re-render of changed parts of the UI.
This document provides an overview of a training session on designing and tuning SSAS multidimensional models. The agenda covers topics like dimension design, measure groups, attribute relationships, aggregations, and query performance tuning. It also introduces the speaker and their experience with SQL Server Analysis Services.
Professional Recycling - SSIS Custom Control Flow Components With Visual Stud...Wolfgang Strasser
This document discusses creating custom control flow components for SQL Server Integration Services (SSIS) using Visual Studio Community. It covers the development environment, creating a new custom component project, deploying the component, accessing variables, debugging, internationalization, and best practices like automated builds and versioning. The presenter demonstrates creating a simple component that reads and writes variables, validating properties, and handling events.
This document provides an overview of data flow basics in SQL Server Integration Services (SSIS). It discusses the data flow task, pipeline architecture, various data sources including ADO.NET, Excel, flat file, OLE DB, XML, and raw file sources. It also covers data destinations such as OLE DB, DataReader, Excel, flat file, and SQL Server destinations. Finally, it reviews Analysis Services destinations for dimension processing and partition processing and includes demos of various sources and destinations.
Basic concepts of React, Flux, Redux and the most important ES2015 (ES6) features.
Presentation on Github pages: http://lingvokot.github.io/React-Redux-ES6-presentation/
This document provides an introduction to React and Redux frameworks. It discusses JavaScript components and state management with React as well as Redux for managing application state through actions, reducers, and a central store. The document also covers related topics like functional programming, smart and dumb components, and React Native platforms.
This document provides an overview of React and Redux. It discusses React as a JavaScript library for building user interfaces using components. It describes how React uses a virtual DOM to render components efficiently. It also discusses Redux as a state management pattern inspired by Flux that uses a single state tree and pure reducer functions to update the state in response to actions. The document outlines the basic Redux workflow of dispatching actions, passing them to reducer functions to compute a new state, and passing the new state back to the views to update.
- React is a JavaScript library for building user interfaces that uses a virtual DOM for faster re-rendering on state changes.
- Everything in React is a component that can have states, props, and lifecycle methods like render(). Components return JSX elements.
- Props are used for passing data to components in a unidirectional flow, while states allow components to re-render on changes.
- The render() method returns the view, accessing props and state values. Forms and events also follow React conventions.
This document provides an introduction to React for developers. It explains that React is a JavaScript library for building user interfaces developed by Facebook. It then covers key React concepts like components, props, state, rendering, and the virtual DOM. It also discusses tools and patterns for architecting React apps like Flux, Redux, routing, internationalization, and async logic. Finally, it recommends designing state carefully, using standards like Flux Standard Action, avoiding side effects in reducers, and leveraging tools like React DevTools.
My React TechTalk with Jordan open source association on Sep 13-2017 @Zinc , KHBP.
Session source code :
https://github.com/ali-sao/Better-web-apps-with-react-redux-.git
Introduction to React in combination with Redux. Redux helps you to develop applications in a simple way while having features like time-travel available during development.
This document provides an introduction to React.js, including:
- React.js uses a virtual DOM for improved performance over directly manipulating the real DOM. Components are used to build up the UI and can contain state that updates the view on change.
- The Flux architecture is described using React with unidirectional data flow from Actions to Stores to Views via a Dispatcher. This ensures state changes in a predictable way.
- Setting up React with tools like Browserify/Webpack for module bundling is discussed, along with additional topics like PropTypes, mixins, server-side rendering and React Native.
Redux - idealne dopełnienie Reacta. Prezentacja przedstawiona na warsztatach z podstaw technologii Redux w ramach DreamLab Academy.
W razie pytań zapraszamy do kontaktu academy@dreamlab.pl
The presentation has been part of DreamLab Academy workshop on Redux. For more details get in touch - academy@dreamlab.pl
This is the first half of a presentation I gave at Squares Conference 2015 where I provided a brief introduction to React JS, then did live coding for 20 minutes to show more of the specifics of usage. Your milage may vary as the live code part was where the bulk of the teaching happened!
This document discusses React component lifecycles and how React performs efficient re-renders. It explains the different lifecycle methods like componentWillMount, componentDidMount, etc. It then discusses how React batches state updates and only re-renders components when necessary using techniques like shouldComponentUpdate. It also explains React's reconciliation algorithm which intelligently updates the DOM by diffing virtual DOM trees in an efficient way when keys are provided. Overall the document provides an overview of key techniques React uses to optimize re-rendering for performance.
This document provides an introduction to React and Redux. It defines a single-page application as one that works within a browser without page reloads. React is introduced as a JavaScript library for building user interfaces using components with one-way data flow and a virtual DOM. Redux is a tool for managing application state that uses a single store, immutable state changes via actions, and pure reducer functions. The document also explains how React and Redux are integrated using the React Redux library and connect function. Key concepts such as JSX, props, state, lifecycle methods and the three principles of Redux are summarized.
This document introduces React, describing it as a JavaScript library for building user interfaces by rendering components rather than mutating the DOM directly. It discusses how React uses a virtual DOM for fast re-rendering, building components instead of templates, and the use of JSX syntax to write HTML-like code. Components have state and props, and the whole app re-renders when state changes to guarantee updates.
React is a JavaScript library for building user interfaces. It uses a component-based approach where UI is broken into independent, reusable pieces called components. Components are like functions that return markup describing part of a view. React uses a virtual DOM to efficiently update the real DOM by only making necessary changes. This improves performance by avoiding expensive DOM operations and minimizing DOM access. Components receive data and callbacks through properties and local state is updated using setState(), triggering a re-render of changed parts of the UI.
This document provides an overview of a training session on designing and tuning SSAS multidimensional models. The agenda covers topics like dimension design, measure groups, attribute relationships, aggregations, and query performance tuning. It also introduces the speaker and their experience with SQL Server Analysis Services.
Professional Recycling - SSIS Custom Control Flow Components With Visual Stud...Wolfgang Strasser
This document discusses creating custom control flow components for SQL Server Integration Services (SSIS) using Visual Studio Community. It covers the development environment, creating a new custom component project, deploying the component, accessing variables, debugging, internationalization, and best practices like automated builds and versioning. The presenter demonstrates creating a simple component that reads and writes variables, validating properties, and handling events.
Say you have made a Data warehouse using dimensional modeling. Now the question will come how you are presenting to your stakeholder. SSRS is a great tools of Microsoft can be used. I am sharing the doc for who is going to start reporting using QUBE. Read this material with source code :
https://gallery.technet.microsoft.com/Step-by-Step-SSRS-Report-8de35ea8
SQL Server Integration Services (SSIS) is a platform for building data integration and extraction, transformation, and loading (ETL) solutions. It can move data between different data sources simply by copying data over, or in a more complex manner by applying transformations. The document provides an overview of SSIS and demonstrates how to use the SQL Server Import and Export Wizard to perform simple ETL tasks between a SQL database and flat file.
The document discusses Microsoft SQL Server Integration Services (SSIS) and focuses on defining control flow and data flow objects. It describes the three primary types of control flow objects - tasks, containers, and constraints - and provides examples of common tasks and containers used in SSIS packages to manage workflow and data transformation. It also discusses using variables to store and pass information between different objects in the package control flow.
The document discusses Microsoft SQL Server Integration Services (SSIS). It describes how SSIS uses a data flow model to extract, transform, and load data. The data flow task encapsulates the data flow engine and connects components together in a pipeline. The key components of the data flow are sources that extract data, transformations that modify data, and destinations that load data. Paths connect the components and define the data flow.
The document provides an overview of various SSIS data flow tasks including connection managers, derived columns, aggregates, lookups, joins, unions, splits, multicasts, conversions and more. It describes what each task does, how it works, and examples of how to use it in an ETL process. The tasks are building blocks that can be combined to construct complex data integration and transformation solutions.
This document discusses various data flow transformations in SQL Server Integration Services (SSIS). It begins with an introduction to the different types of transformations, including row transformations and rowset transformations. It then provides examples and demonstrations of specific transformations like Character Map, Derived Column, Aggregate, Pivot, and Percentage Sampling. The document aims to explain how each transformation works and how it can be used to modify or aggregate data in an SSIS data flow.
The document discusses different types of control flow containers in SSIS including precedence constraints, sequence containers, foreach loops, and for loops. Precedence constraints control package flow based on task success, failure or completion. Sequence containers group tasks into separate control flows. Foreach loops repeat a control flow for each item in a collection, while for loops repeat based on a conditional expression.
The document discusses the data flow task in SQL Server Integration Services (SSIS). It encapsulates the data flow engine and performs ETL processes like extract, transform, and load data. Data flow components include sources that extract data, transformations that modify data, and destinations that load data. Paths connect the components and create the data flow pipeline. Sources extract from different data sources. Transformations modify data through row-level and rowset operations. Destinations load data to various targets.
This document discusses designing and developing OLAP cubes and multidimensional structures. It provides an introduction to OLAP and covers components of cubes like dimensions, measures, and data sources. It also outlines the steps to build a cube in SSAS including creating the data source view, dimensions, measures, and deploying the database. Calculations, KPIs, perspectives and other advanced features are also briefly mentioned.
This document provides an overview and demonstrations of data flow transformations in SQL Server Integration Services (SSIS). It begins with a question and answer section and an overview of split and join transformations such as the conditional split, multicast, union all, merge, and lookup transformations. Business intelligence transformations like the slowly changing dimension and term extraction transformations are also covered. The document concludes with demonstrations of the transformations in SSIS packages.
informatica power center 9 Online Training is Offering at Glory IT Technologies. We have Certified Working Professionals on this Modules. They trained so many Global Students, We also Provides Corporate Training, Job/Project Support Services to informatica power center 9 . We are Only Institute Delivering Best Online Training Services to this Module.
The control flow manages the execution of tasks and containers in an SSIS package. It contains control flow tasks, containers, and precedence constraints. There are three primary control flow objects - tasks that perform jobs, containers that group tasks and containers, and constraints that define execution order. A control flow task performs operations like sending emails or copying files, and completes as succeeded or failed.
The document discusses designing an ETL (extract, transform, load) framework. It outlines goals like implementing routines quickly with limited resources, reliability, flexibility to modify rules, and visibility into status. Architecture considerations include server organization, database access methods, and how SSIS packages will run. Features include package templates, multiple run options, error handling, logging, and notifications. SQL and SSIS components are described like framework tables, stored procedures, package naming, and compartmentalizing work. Web components allow operations, threshold maintenance, notifications, and reporting. The overall goal is a reusable, standardized, and visible ETL process.
The document discusses frontend architecture and Jest testing. It covers goals of helping the team with architecture decisions, setup tests, and better unit tests. It then covers layers architecture with modules, components, services, and binding. It introduces Jest as a JavaScript testing framework and covers mocks, spies, stubs, and differences from Jasmine. It provides examples of unit testing Angular components in Jest with TestBed and avoiding side effects.
Beyond Parallelize and Collect by Holden KarauSpark Summit
This document discusses testing Spark programs. It recommends using parallelize and collect for unit testing Spark code on small datasets that fit in memory. For larger datasets that do not fit in memory, it suggests using distributed set operations or RDD comparisons. The document also discusses testing streaming applications using a manual clock and test input streams. It provides examples of testing DataFrames and Datasets using equality checks. Finally, it recommends packages like spark-testing-base and sscheck for Spark testing and mentions options beyond local mode for testing.
If you are like most test driven developers, you write automated tests for your software to get fast feedback about potential problems. Most of the tests you write will verify the functional behaviour of the software: When we call this function or press this button, the expected result is that value or that message.
But what about the non-functional behaviour, such as performance: When we perform this query the expected speed of getting results should be no more than that many milliseconds. It is important to be able to write automated performance tests as well, because they can give us early feedback about potential performance problems. But expected performance is not as clear-cut as expected results. Expected results are either correct or wrong. Expected performance is more like a threshold: If the performance is worse than this, we want the test to fail.
Jdk.io cloud native business automationRyan Dawson
Cloud Native Business Automation with Activiti Cloud was presented. It was explained with an example of a Twitter-based trending topics campaign. The benefits of modeling processes with BPMN and implementing them as microservices with Activiti Cloud were discussed. Key components of the Activiti Cloud architecture like connectors, query and audit modules were overviewed. The future of integrating additional tools like Jenkins X, Spring Cloud Kubernetes and Istio was briefly mentioned.
Testing in FrontEnd World by Nikita GalkinSigma Software
The document discusses different types of frontend testing including:
1. Linting - Used to enforce code style standards and best practices through static analysis.
2. Unit testing - Tests individual units/components of code without dependencies to validate business logic.
3. Component testing - Tests isolated React/Vue components through tools like Storybook for documentation and structural/interaction testing.
4. Visual testing - Tests UI using screenshots to catch visual regressions. Requires browsers.
5. End to end (E2E) testing - Focuses on user experience through full browser automation using tools like Protractor for Angular projects.
The document emphasizes writing tests that are fast,
DevOps (Continuous Integrations, Continuous Delivery & Continuous deployment using Jenkins and Visual studio team services, setting up VTST build Agents, Integrating VSTS with SonarQube, NDepend,) , Complete automation of pushing code into VSTS from Visual Studio, Building Code by a Jenkin Server hosted on Azure and pushing that successful build on to Azure Web App via Release Pipeline or directly from Jenkins,VSTS Default agents, Setting up local agent from scratch, Setting up agents for code build, VSTS, Visual Studio Online Agents, Agent Pools, Hosted Agents, Hosted VS2017. Hosted Linux Agents, Setting up agent on VS Dev Test Labs, Setting up Template Parameters for Continuos Pipeline, Build Agent Creation Dynamically, Random Machine Name, Random Passwords, Dynamic Agent creation in VS Dev Test labs, Sonarcube, Code quality, Code Analysis, MSBuild, Integrate VSTS Build with NDepend, Package manager, Monolithic Architecture, Nuget, Package management, Npm js.com, Semantic versioning, Creating a nuget package, nuspec file, GitVersion Plugin, FeedURL, Chocolatey for package management, Chocolatey, chocolatey workflow,
Batch Message Listener capabilities of the Apache Kafka ConnectorNeerajKumar1965
The document discusses using Apache Kafka's batch message listener capabilities with MuleSoft to load data into Teradata Vantage in parallel. It covers configuring the Kafka consumer, extracting payload data, inserting it into the database table in parallel batches while handling errors, and logging problematic messages. A live demo shows performance of single vs batch loading and handling irreproducible database errors.
В ходе доклада мы обсудим такие виды тестирования как:
- юнит тестирование,
- тестирование верстки,
- e2e-тестирование,
- тестирование производительности для FE
Также мы коснемся таких фундаментальных вещей, как:
- Что такое F.I.R.S.T
- Где заканчивается ответственность разработчика и начинает - ответственность QA инженера
- Как договариваться с бэкенд разработчиками
- И конечно, почему тесты нужны.
This document summarizes the testing approach and strategies used for an application built with Django and Django Rest Framework. It discusses the use of both unit and integration tests, along with different testing frameworks like Django's built-in test tools, pytest, and libraries like pytest-django and pytest-xdist. It also covers strategies like database fixtures, parameterized testing, and mocking HTTP requests. The document concludes by discussing plans to improve testing in the future such as enabling parallel test runs and adding performance regression testing.
This document discusses database deployment automation. It begins with introductions and an example of a problematic Friday deployment. It then reviews the concept of automation and different visions of it within an organization. Potential tools and frameworks for automation are discussed, along with common pitfalls. Basic deployment workflows using Oracle Cloud Control are demonstrated, including setting credentials, creating a proxy user, adding target properties, and using a job template. The document concludes by emphasizing that database deployment automation is possible but requires effort from multiple teams.
Testing and validating spark programs - Strata SJ 2016Holden Karau
Apache Spark is a fast, general engine for big data processing. As Spark jobs are used for more mission-critical tasks, it is important to have effective tools for testing and validation. Expanding her Strata NYC talk, “Effective Testing of Spark Programs,” Holden Karau details reasonable validation rules for production jobs and best practices for creating effective tests, as well as options for generating test data.
Holden explores best practices for generating complex test data, setting up performance testing, as well as basic unit testing. The validation component will focus on how to create reasonable validation rules given the constraints of Spark’s accumulators.
Unit testing of Spark programs is deceptively simple. Holden looks at how unit testing of Spark itself is accomplished and distills a number of best practices into traits we can use. This includes dealing with local mode cluster creation and tear down during test suites, factoring our functions to increase testability, mock data for RDDs, and mock data for Spark SQL. A number of interesting problems also arise when testing Spark Streaming programs, including handling of starting and stopping the streaming context, providing mock data, and collecting results, and Holden pulls out simple takeaways for dealing with these issues.
Holden also explores Spark’s internal methods for generating random data, as well as options using external libraries to generate effective test datasets (for both small- and large-scale testing). And while acceptance tests are not always thought of as part of testing, they share a number of similarities, so Holden discusses which counters Spark programs generate that we can use for creating acceptance tests, best practices for storing historic values, and some common counters we can easily use to track the success of our job, all while working within the constraints of Spark’s accumulators.
Large scale machine learning projects with R SuiteWLOG Solutions
Presentation from a workshop delivered by company's CEO Wit Jakuczun during ML@Enterprise conference that took place on 14th of December 2017 in Warsaw. Check https://github.com/WLOGSolutions/MLForum2017) for R code generated during this workshop.
Machine Learning is not only about algorithms. Machine learning is about value and this can be achieved only after proper deployment of Machine Learning solutions. I will present best practices regarding managing R based ML projects. I will use our open-source tool R Suite (http://rsuite.io/). During the workshop I will talk about:
– project structure
– development cycle
– deployment
– test
Large scale machine learning projects with r suiteWit Jakuczun
Agenda for the workshop I conducted at ML@Enterprise conference that took place on 14th of December 2017 in Warsaw.
Machine Learning is not only about algorithms. Machine learning is about value and this can be achieved only after proper deployment of Machine Learning solutions. I will present best practices regarding managing R based ML projects. I will use our open-source tool R Suite (http://rsuite.io/). During the workshop I will talk about:
– project structure
– development cycle
– deployment
– test
Ssis Best Practices Israel Bi U Ser Group Itay Braunsqlserver.co.il
This document provides best practices and recommendations for SQL Server Integration Services (SSIS). It discusses topics such as logging package runtime information, establishing performance baselines, package configuration, lookup optimization, data profiling, resource utilization, and network optimization. The document also provides tips on narrowing data types, sorting data, using SQL for set operations, and change data capture functionality.
The document discusses high ROI testing strategies in Angular applications. It recommends focusing testing efforts on integration tests using Cypress component testing. The speaker demonstrates how to set up Cypress component testing for an Angular application and write tests that follow best practices. Tests for common CRUD operations on a todo application are shown as examples, covering creating, showing, updating, and deleting todo items.
Most projects in CF now involve creating some type of consumable CFC Endpoint or API Service... do you Unit test your API, do you use Integration Tests on your API? How many ways do you test your API? Not all tests are created equal.
Description
Most projects in CF now involve creating some type of consumable CFC Endpoint or API Service... do you Unit test your API, do you use Integration Tests on your API? How many ways do you test your API? Not all tests are created equal.
We build our CFCs and CF API to be consumed with CF Apps, Mobile Apps, Javascript apps and devices we haven’t even thought about yet. To be smart developers we need to be able to test our CFC endpoints, and the code that uses those endpoints.
We’ll learn how to test your API serverside with Testbox and Clientside with Jasmine.
With Testbox and Jasmine both using BDD, your test code can almost be isomorphic.
Attendees should have some exposure to CFCs as endpoints, or CF API creations, and consuming with other languages/devices, in this case, JavaScript.
## Attendees will learn
How to use Testbox to test your CFCs 2 different ways
Different types and ways to test JavaScript
Overview of client/server side testing tools
Building testing into your workflow
You are one of many that are not testing your APIs thoroughly
North Virginia Coldfusion User Group Meetup - Testbox - July 19th 2017Ortus Solutions, Corp
Testbox is a tool we all should be using to test our ColdFusion Applications which was created and is maintained by Ortus Solutions, the people that brought you ColdBox. We will have Gavin from Ortus in house on this day to go over some testbox examples, talk about its importance, and answer any questions you have.
SO --- if you have and high level questions for Gavin, reply to this post (or hit me up) so I can get the questions to Gavin a head of time just in case he needs to consult others at Ortus.
Gavin Pickin is a proud ColdFusion developer, starting with ColdFusion in the late 90s. Now working with Ortus Solutions, a leading force in CFML Development frameworks and tools, Gavin gets to work on a lot of great projects, for a big variety of clients. At Ortus Solutions, a big focus is on free and open source tools, on open source Fridays, Gavin spend most of his open source time working on ContentBox Content Management System.
Protractor framework architecture with exampleshadabgilani
Protractor is an open source functional testing framework for AngularJS applications. It automates interaction with AngularJS apps for end-to-end testing. Protractor uses Selenium WebDriver for browser control and Jasmine or Mocha for writing test cases. Tests are organized into pages, common utilities, test data, specs, and configuration files. Protractor provides locators and functions to test AngularJS apps and generates Allure reports for test results.
Similar to 9\9 SSIS 2008R2_Training - Package Reliability and Package Execution (20)
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
State of Artificial intelligence Report 2023kuntobimo2016
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.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
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
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
2. Package Reliability
Package Logging
◦ Configuring Logging
◦ Configuring Logging in a Scipt Task and Viewing Logs
Event Handling
◦ Demo: Adding a Task to an Event Handler
Transactions
◦ Demo: Configuring Transaction Support
Checkpoints
◦ Demo: Working with Checkpoints
◦ Demo: Using Checkpoints with Containers
Package Execution
Package Execution Utilities
◦ Demo: Using DTExec in the command line
◦ Demo: Using DTExecUI
SQL Server Agent Jobs
◦ Demo: Creating a SQL Server Agent Job
Summary
pramod_singla@yahoo.co.in (www.pramodsingla.wordpress.com)
3. Debugging
Breakpoints
◦ Demo: Introducing Breakpoints
◦ Demo: Working with Breakpoints
Script Task Debugging
◦ Demo: Debugging a Script Task
Data Viewer
◦ Demo: Using the Grid Viewer
◦ Demo: Using the Histogram Viewer
◦ Demo: Using the Scatterplot Viewer
◦ Demo: Using the Chart Viewer
Row Count Transformation
pramod_singla@yahoo.co.in (www.pramodsingla.wordpress.com)
4. At run time, executables (packages and Foreach Loop, For Loop,
Sequence, and task host containers) raise events
Event handlers can perform tasks such as the following:
◦ Clean up temporary data storage when a package or task finishes running.
◦ Custom Logging
◦ Send an e-mail message when an error or a warning occurs or when a task fails.
pramod_singla@yahoo.co.in (www.pramodsingla.wordpress.com)
5. Transaction support is built in to SSIS.
The TransactionOption property exists at the package level, container level (e.g. For
Loop, Foreach Loop, Sequence, etc.), as well as just about any Control Flow task
(e.g. Execute SQL task, Data Flow task, etc.).
TransactionOption can be set to one of the following:
◦ Required - if a transaction exists join it else start a new one
◦ Supported - if a transaction exists join it (this is the default)
◦ NotSupported - do not join an existing transaction
MSDTC Service must be running.
pramod_singla@yahoo.co.in (www.pramodsingla.wordpress.com)
pramod_singla@yahoo.co.in (www.pramodsingla.wordpress.com)
6. Integration Services can restart failed packages from the point of
failure, instead of rerunning the whole package.
Configuring Checkpoints
◦ To implement checkpoints in your package, you must configure several properties at the package
level:
◦ CheckpointFileName: Specifies the full path and filename of your checkpoint file.
◦ CheckpointUsage - Determines if/how checkpoints are used. Choose from these options: Never
(default), IfExists, or Always. Never indicates that you are not using Checkpoints. IfExists is the
typical setting and implements the restart at the point of failure behavior. If a Checkpoint file is found
it is used to restore package variable values and restart at the point of failure. If a Checkpoint file is
not found the package starts execution with the first task. The Always choice raises an error if the
Checkpoint file does not exist
◦ SaveCheckpoints: Specifies whether the package saves checkpoints. Set to True to enable
checkpoints on the package.
◦ by default, no tasks are setup to log checkpoints. For each task and container in the package that you
want to identify as a restart point, you must set the FailPackageOnFailure property True.
pramod_singla@yahoo.co.in (www.pramodsingla.wordpress.com)
7. To run an Integration Services package, you can use
one of the following tools:
◦ The dtexec command prompt utility (dtexec.exe).
◦ The Execute Package Utility (dtexecui.exe).
◦ A SQL Server Agent job.
◦ Run in Business Intelligence Development Studio
pramod_singla@yahoo.co.in (www.pramodsingla.wordpress.com)
8. The dtexec command prompt utility is used to configure and
execute SQL Server Integration Services packages
dtexec /dts "MSDBOnlineDemoPrecedence_Constraints“
dtexec/FILE "C:UserspramDesktopSSIStrainingtempPrecedence_Constraints.dtsx"
/CHECKPOINTING OFF /REPORTING EW
pramod_singla@yahoo.co.in (www.pramodsingla.wordpress.com)
9. GUI to execute SSIS package
To launch Type “dtexecui” in RUN
Double click on package will automatically open it
In package store right click a package and run
pramod_singla@yahoo.co.in (www.pramodsingla.wordpress.com)
10. You can automate and schedule the execution of
SQL Server Integration Services packages by using
SQL Server Agent
pramod_singla@yahoo.co.in (www.pramodsingla.wordpress.com)
11. Package Reliability
Package Logging
◦ Configuring Logging
◦ Configuring Logging in a Scipt Task and Viewing Logs
Event Handling
◦ Demo: Adding a Task to an Event Handler
Transactions
◦ Demo: Configuring Transaction Support
Checkpoints
◦ Demo: Working with Checkpoints
◦ Demo: Using Checkpoints with Containers
Package Execution
Package Execution Utilities
◦ Demo: Using DTExec in the command line
◦ Demo: Using DTExecUI
SQL Server Agent Jobs
◦ Demo: Creating a SQL Server Agent Job
pramod_singla@yahoo.co.in (www.pramodsingla.wordpress.com)