Microsoft Dynamics CRM is a customer relationship management software package developed by Microsoft, focusing on enhancing customer relationships for any organization. It is one of the leading industry-standard CRM software available in market. Microsoft Dynamics CRM Online offers an attractive interface, excellent reporting tools, and lots of automation features. It is designed for larger organizations with complex customer relationship management requirements. Dynamics CRM is a server-client application, which, like Microsoft SharePoint, is primarily an IIS-based web application which also supports extensive web services interfaces. Clients access Dynamics CRM either by using a browser or by a thick client plug-in to Microsoft Outlook. With Dynamics 365, you get CRM software that works as a customizable, flexible solution designed to suit your business requirements. Choose a stand-alone application to meet the needs of a specific line of business, or use multiple CRM tools that work together as a powerful integrated solution.)

LCS is a Microsoft Azure-based collaboration portal that provides a unifying, collaborative environment along with a set of regularly updated services that help you manage the application lifecycle of your implementations. Tools that are provided in LCS. ... Cloud-hosted environments is a tool that you can use to deploy Microsoft Dynamics environments on Azure. When you use Cloud-hosted environments, you must select the type of environment to deploy, such as a demo, developer/test, or production environment. Lifecycle Services (LCS) for Microsoft Dynamics is a collaboration portal that provides an environment and a set of regularly updated services that can help you manage the application lifecycle of your implementations of the Dynamics 365 Finance and Operations apps. In your LCS project, on the Microsoft Azure settings page, select Add to add a new connector. Enter your Azure subscription ID. You can find your Azure subscription ID in the Azure portal, under Settings in the lower left of the screen. In the Configure to use Azure Resource Manager field, select Yes.

The Sure-Step Methodology is a comprehensive client engagement methodology – outlining the best practice processes necessary to implement Microsoft Dynamics solutions. It is an end-to-end customer life cycle which describes the standardised processes and disciplines necessary to implement Dynamics solutions. Dynamics 365 Finance & Operations is a cloud-based Enterprise Resource Planning (ERP) system well-suited for large or diversified companies. ... Dynamics 365 Finance: Includes budgeting, project management, financials, and accounting for large, international companies. Go to your LCS project navigation menu, and select Cloud-hosted environments. In the environment list section, select the deployed environment. When the environment page opens, you can access the application by clicking Login > Log on to Finance and Operations in the upper-right corner.

This certification program is in collaboration with E&ICT, IIT, Guwahati, and aims to provide extensive training on Big Data Analytics concepts such as Hadoop, Spark, Python, MongoDB, Data Warehousing, and more. This program warrants providing a complete experience to learners in terms of understanding the concepts, mastering them thoroughly, and applying them in real life. Big data analytics is the use of advanced analytic techniques against very large, diverse big data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes. Big data analytics describes the process of uncovering trends, patterns, and correlations in large amounts of raw data to help make data-informed decisions. These processes use familiar statistical analysis techniques—like clustering and regression—and apply them to more extensive datasets with the help of newer tools.

Is it Hard to Learn Python? Python is widely considered one of the easiest programming languages for a beginner to learn, but it is also difficult to master. Anyone can learn Python if they work hard enough at it, but becoming a Python Developer will require a lot of practice and patience. Very few people learn everything about Python. ... Working through our Data Analyst in Python course path, for example, would get you ready to apply for jobs as a Data Analyst. Most learners take at least three months to complete this path. To be clear, though, you could probably spend a lifetime learning Python. Yes, you can learn Python without programming experience of any other programming language. Python is very easy to learn because of the English language like syntax. Python might be enough to get a job, but most jobs require a set of skills. ... For example, you might get a job to write Python code that connects to a MySQL database. To build a web application, you need Javascript, HTML, and CSS. If you want to get into machine learning, you need to know about mathematical modeling.

Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. A Power BI developer is responsible for the development and administration of BI tools along with complete knowledge of the BI system. The main duty of a Power BI developer is to convert raw data into meaningful insights through interactive and easy-to-understand dashboards and reports. Business intelligence is a technology-driven process, so people who work in BI need a number of hard skills, such as computer programming and database familiarity. However, they also need soft skills, including interpersonal skills.

Expand your career opportunities with the trending topics in your technology!!

Microsoft Dynamics AX Enterprise Portal Training (D365/2012-R3) : Enterprise Portal for Microsoft Dynamics AX 2012 R3 gives an online application framework that allows for users to associate with information in Microsoft Dynamics AX through a web program. Students can new content new content for Enterprise Portal and also they can modify existing content. Most additions and changes can be made utilizing assets in the Application Object Tree (AOT) along with SharePoint. More developed applications and modifications can be made by utilizing Visual Studio and the advancement framework for Enterprise Portal. Enterprise Portal for Microsoft Dynamics AX provides a web-based application framework that allows for users to interact with data in Microsoft Dynamics AX through a web browser. You can create new content for Enterprise Portal, and also modify existing content. Most additions and changes can be made using resources in the Application Object Tree (AOT) in combination with SharePoint. More advanced applications and modifications can be created by using Visual Studio and the development framework for Enterprise Portal. For more information about how to install and configure Enterprise Portal, see Enterprise Portal and Role Centers. For details about using Enterprise Portal, see Enterprise portal (TechNet). In This Section Enterprise Portal Development Overview Converting Enterprise Portal Content Data Access Overview Enterprise Portal Site Structure and Navigation Pages Overview Web Parts Overview Context in Enterprise Portal Reports in Enterprise Portal Overview EP Web Application Project Overview User Controls Overview Coding User Controls Chart Controls Overview Security in Enterprise Portal Workflow in Enterprise Portal Enterprise Portal Appearance Overview Walkthrough: Adding a Field to a User Control Walkthrough: Adding a Page to Navigation Walkthrough: Quickly Creating and Deploying a User Control Troubleshooting: Enterprise Portal Development

About this Course 51,011 recent views Amazon famously delivers new code every 11.6 seconds. Just a few years ago, this was unthinkable: many ‘cutting edge’ firms would release software quarterly. When it comes to digital innovation, velocity is critical and many would say it’s the most reliable determinant of success. Bringing an organization to the state of the art (or even functional capability) in this area requires strong work in a combination of disciplines and a combination of both technical and managerial skills. There is no single cookie-cutter approach for achieving this capability. Much like agile, the right focus and formulation depends a lot on the facts and circumstances of the team. This course, developed at the Darden School of Business at the University of Virginia and taught by top-ranked faculty, will provide you with the interdisciplinary skill set to cultivate a continuous deployment capability in your organization. After completing this course, you will be able to: 1. Diagnose a team’s delivery pipeline and bring forward prioritized recommendations to improve it 2. Explain the skill sets and roles involved in DevOps and how they contribute toward a continuous delivery capability 3. Review and deliver automation tests across the development stack 4. Explain the key jobs of system operations and how today’s leading techniques and tools apply to them 5. Explain how high-functioning teams use DevOps and related methods to reach a continuous delivery capability 6. Facilitate prioritized, iterative team progress on improving a delivery pipeline WHAT YOU WILL LEARN 1.How to diagnose a team’s delivery pipeline and bring forward prioritized recommendations to improve it 2.The skill sets and roles involved in DevOps and how they contribute toward a continuous delivery capability 3.How to review and deliver automation tests across the development stack 4.How to facilitate prioritized, iterative team progress on improving a delivery pipeline .

Earning an MCSA: Machine Learning demonstrates knowledge relevant to Machine Learning, Data Scientists and Data Analysts positions, particularly those who process and analyze large data sets using R and use Azure cloud services to build and deploy intelligent solutions. It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE). This certification demonstrates your expertise in operationalizing Microsoft Azure machine learning and Big Data with R Server and SQL R Services. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.