Владимир Дубина - Meet Magento Ukraine - Data consistency

Nitin Saxena is seeking a long-term position as an SAP ABAP consultant where he can fully utilize his skills. He has over 5 years of experience in SAP ABAP development, WebDynpro, BODS, and data migration tools. He has worked on projects for clients like Robert Bosch, Bosch LLC, and Lava Mobiles. Nitin has expertise in ABAP, WebDynpro, BODS, LSMW, BDC and has experience developing interfaces, reports, and automating processes. He is proficient in languages like ABAP, C, C++ and holds a bachelor's degree in computer science and engineering.

Vincent Roque-Escobar is seeking a full-time software developer position. He has over 7 years of experience in IT development using technologies like ASP.NET, C#, SQL Server, and jQuery. He has a background in full stack development and has worked on projects involving web and mobile applications, databases, and reporting. His most recent role was as a contractor for LiVideo where he developed interfaces to display Tableau reports and created dashboards to track company statistics.

This document provides an overview of the steps needed for a successful migration from an on-premises environment to Office 365. It includes sections on pre-migration analysis, migration, and post-migration activities. The presentation agenda outlines an introduction, end-to-end migration plan discussion, and time for questions. Common issues that may arise include master pages and page layouts not migrating properly, content query web parts needing configuration updates, and detached web pages. Careful planning of migration schedules, checklists, content audits and issue resolution are essential to a smooth transition to the new Office 365 environment.

WSO2 API Manager can provide operational and business insights by gathering and analyzing statistics. Operationally, it uses BAM for message tracing across servers and retrospective analysis, and CEP to monitor response times in real-time. For business insights, it considers the different roles of business owners, API creators and app developers in an ecosystem. It offers a statistics dashboard and can integrate with Google Analytics to provide additional analytics on usage trends like device and location breakdowns. These insights allow operators to optimize systems and businesses to expand their API ecosystem and customer base.

This document summarizes a presentation about hidden gems and recent updates in Webtrends Analytics. The presentation covered updates to page view determination, report export options, WebTrends Connect, and calculated measures. It also provided tips on useful report features from an analytics director and highlighted the new Tag Builder 3.0, mobile analytics capabilities, and a beta release of new Web Services APIs.

This document summarizes a presentation about hidden gems and recent updates in Webtrends Analytics. The presentation covered updates to page view determination, report export options, WebTrends Connect, and calculated measures. It also provided tips on useful features for report users and administrators, including bookmarks, preferences, and accessing data through Excel. Finally, it discussed new capabilities in Tag Builder 3.0 for mobile analytics and a beta release of new Web Services APIs.

This document outlines seven steps for transitioning from data science to data operations (DataOps): 1. Orchestrate the data science and production workflows. 2. Add testing at each step to monitor quality. 3. Use a version control system to manage code changes. 4. Implement branching and merging to allow parallel development. 5. Maintain separate environments for experiments, development and production. 6. Containerize components and practice environment version control. 7. Parameterize processes to increase flexibility and reuse.

This document outlines seven steps for transitioning from data science to data operations (DataOps): 1. Orchestrate the data science and production workflows. 2. Add testing at each step to monitor quality. 3. Use a version control system to manage code changes. 4. Implement branching and merging to allow parallel development. 5. Maintain separate environments for experiments, development and production. 6. Containerize components and practice environment version control. 7. Parameterize processes to increase flexibility and reuse.

This document discusses challenges with current data analytics practices and how adopting a DataOps approach can help address them. It notes that current practices often involve many people using complex, fragmented toolchains which results in high error rates, slow deployment speeds, and an inability to deliver insights at the speed of business. DataOps is presented as a way to transform data analytics by applying practices from DevOps and Lean manufacturing like continuous integration, monitoring, version control systems, and reusable components. The document provides a seven step framework for implementing DataOps along with additional considerations for architecture, metrics, and collaboration.

The document outlines seven steps for implementing DataOps to improve data analytics projects: 1) orchestrate the data journey from access to production, 2) add automated tests and monitoring, 3) use version control for code, 4) enable branching and merging of code, 5) use multiple environments, 6) reuse and containerize components, and 7) parameterize processing. It also discusses three additional steps: data architecture, inter- and intra-team collaboration, and process analytics for measurement. The goal of DataOps is to increase project success rates by integrating testing, monitoring, collaboration and automation practices across the entire data and analytics workflow.

There is a lot to cover about SEO for large websites/enterprise. In this talk we'll cover primarily the data analysis and the technical SEO side of things. In future presentations we'll look at more.

The document discusses alternatives to using SAP servers for reporting, including using Crystal Reports or free software. It analyzes using existing Crystal Reports templates but notes limitations without the SAP server. Windward Studios is presented as a solution that allows template application without errors and supports exporting to databases. The conclusion is that Windward Studios provides advantages over Crystal Reports like avoiding SAP servers and support for cross-platform use in Microsoft products.

Turbocharge your development efforts your with a "hands on" introduction to quickly building apps using the MongoDB database as a service offering known as Atlas and the serverless / REST based application development environment known as Stitch. We'll begin with a brief introduction to MongoDB, Atlas, and Stitch. You will learn about 3 real world examples of two day prototypes and rapid production cycles. You will then create your own free MongoDB Atlas database as a service cluster. Then you will write your first Stitch application to put data into your database and query data out of it. You will learn how to enhance your application with serverless stitch functions and triggers. At the end of the 90 minute session you will have a hands on experience and good grasp of how to write custom serverless applications with MongoDB.

The function of this presentation is to explain the processes for adding translations to a Scoped Custom Application in ServiceNow. English to Spanish translations are covered, but the methods employed apply to all languages.

The document discusses using XML data stored in a SQL Server database to power a web application for a company called Acme Traders. It includes details about the database structure, queries needed for the application, security requirements, and other considerations. Multiple choice questions are also included about indexing, replication, archiving historical data, and other SQL Server topics related to the scenario.

This resume summarizes Sam Segal's experience as a software developer and systems engineer. He has over 15 years of experience building applications using technologies like Java, Spring, React, and Docker. His most recent role involved upgrading a startup project from Spring MVC to a Spring Boot REST API with a React frontend. He has extensive experience developing both web and mobile applications.

Achieving agility in data and analytics is hard. It’s no secret that most data organizations struggle to deliver the on-demand data products that their business customers demand. Recently, there has been much hype around new design patterns that promise to deliver this much sought-after agility. In this webinar, Chris Bergh, CEO and Head Chef of DataKitchen will cut through the noise and describe several elegant and effective data architecture design patterns that deliver low errors, rapid development, and high levels of collaboration. He’ll cover: • DataOps, Data Mesh, Functional Design, and Hub & Spoke design patterns; • Where Data Fabric fits into your architecture; • How different patterns can work together to maximize agility; and • How a DataOps platform serves as the foundational superstructure for your agile architecture.

Explaining the Best Practices of Magento API Design. Performed by Igor Miniailo at Khmelnytskyi Magento Meetup.

Best Practices in Magento 2 Development using MSI project as an example by Valeriy Nayda at Khmelnytskyi Magento Meetup.

Discovering ways to handle development environments that would make Magento development more productive and efficient. Khmelnytskyi Magento Meetup

This document summarizes the results of benchmark tests performed on a Magento 2 site to evaluate performance in different environments. It shows loading times for various site operations like homepage load, category pages, product pages, search and account pages. Tests were run with standard and increased product/customer counts, different caching configurations, database engines and PHP versions. Loading times generally increased as product/customer volumes grew but were improved by adding Redis caching, database replication and upgrading to PHP 7.

Atwix has transitioned to being a distributed company over the past year. It grew from 15 employees working in one physical office and one person remotely, to over 20 employees working across two physical offices and three people remotely. The company now spans four time zones. A distributed company is defined as a group of individuals who work across time, space, and organizational boundaries connected through communication technology. Some of the key aspects of building a distributed company that were discussed include prioritizing communication, tracking performance metrics, addressing challenges of different time zones and locations, and emphasizing the benefits like increased productivity and employee satisfaction.

The document discusses pricing in Magento 2. It covers the different types of prices that can be implemented including regular price, sale price, taxes, discounts. It also describes how pricing is organized through entities and templates to make it flexible and customizable. Code examples are provided to demonstrate how pricing is calculated and displayed for products.

Александр Смага, Юрий Муратов - Meet Magento Ukraine - Технический обзор OroCRM