Attendees will learn how to install, configure, deploy, monitor, and manage a BizTalk Server environment. This course also covers advanced topics with hands-on labs for multi-server installations, trading partner integration, and disaster recovery. The course is delivered in cooperation with iBiz Solutions. About the instructor: Richard Hallgren Richard Hallgren, partner and solutions architect at iBiz Solutions in Sweden, is a very experienced and competent consultant who is heavily specialized in Microsoft-based architecture and development.

He has a high expertise in Microsoft products and platforms such as BizTalk,.NET, SQL Server, and also high level of expertise and experience in application and enterprise architecture and related architectures such as SOA, Governance and security. For the past six years he has been working exclusively with large-scale integration solutions based on Microsoft technologies like BizTalk and WCF. BizTalk fundamentals Learn and understand fundamental BizTalk Server concepts, basic architecture and using functions of Enterprise Application Integration, Business Process Automation with support for transactions, business to business communication, message broker and business activity monitoring BizTalk Server Message Processing engine Introduces the BizTalk message processing engine, learn about the store and forward mechanism. Understand the publish/subscribe engine. Walkthrough of all BizTalk Server databases. BizTalk administration tools and tasks Learn how to use the BizTalk Configuration tool, the BizTalk administration console including the group hub, reports and tracking of events and failed messages.

Install and Configure a BizTalk server environment Using best practices you will learn how to properly design, install and configure a basic BizTalk Server environment. Configure BizTalk for a multiple server environment Using best practices you will learn how to properly design, install and configure a distributed BizTalk Server environment and learn about available options. Deploy applications, basics Learn how the BizTalk installation process works, both configuration and installation. Learn how to deploy BizTalk applications using Visual Studio and MSI packages Deploy applications, scripts Automate application deployment using basic scripts The advanced series courses will add even more deployment options Configure hosts and host instances Learn about the role of hosts Learn about host options, 32/64 bit, trusted etc. Dec 11: Introduction to AI and Deep Learning Description: Deep learning and artificial intelligence (AI) is a capability organizations are striving to adopt for the competitive edge. Deep learning systems can be the differentiation factor between your organization and your competitor. This course focuses on deep learning concepts and principles and ensuring that the “black box” of deep learning is explained.

Free information on UK Company Directors, contact details and their associated companies.

About this course The focus of this 3-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures, and measure groups.

Slate Digital Vst Rarest. This course helps you prepare for the Exam 70-768. The Red Hat Certified Engineer (RHCE) in Red Hat OpenStack exam (EX310) is a performance-based exam that tests your ability to integrate Red Hat® Enterprise Linux® OpenStack® Platform services with Red Hat Ceph Storage and implement advanced networking features utilizing the OpenStack Neutron service. In order to become a Red Hat Certified Engineer in Red Hat OpenStack, you must also be a current Red Hat Certified System Administrator (RHCSA) in Red Hat OpenStack. In preparation Red Hat recommends that candidates earn RHCSA before attempting this exam, but it is not required.

Note: To earn the RHCE in Red Hat OpenStack credential, you must be a RHCSA in Red Hat OpenStack and also pass the RHCE in Red Hat OpenStack exam. While it is possible to take these exams out of sequence, Red Hat strongly recommends earning the RHCSA in Red Hat OpenStack first.

Study points for the exam To help you prepare, the exam objectives highlight the task areas you can expect to see covered in the exam. Red Hat reserves the right to add, modify, and remove exam objectives. Such changes will be made public in advance. Dec 11: Introduction to AI and Deep Learning Description: Deep learning and artificial intelligence (AI) is a capability organizations are striving to adopt for the competitive edge. Deep learning systems can be the differentiation factor between your organization and your competitor. This course focuses on deep learning concepts and principles and ensuring that the “black box” of deep learning is explained.

About this course This five-day instructor-led course describes how to process Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data Warehouse and Azure Data Factory. The course also explains how to include custom functions, and integrate Python and R. Audience profile The primary audience for this course is data engineers (IT professionals, developers, and information workers) who plan to implement big data engineering workflows on Azure. At course completion After completing this course, students will be able to: Describe common architectures for processing big data using Azure tools and services. Describe how to use Azure Stream Analytics to design and implement stream processing over large-scale data.

Describe how to include custom functions and incorporate machine learning activities into an Azure Stream Analytics job. Describe how to use Azure Data Lake Store as a large-scale repository of data files.

Describe how to use Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store. Describe how to create and deploy custom functions and operations, integrate with Python and R, and protect and optimize jobs. Describe how to use Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest. Describe how to use Azure SQL Data Warehouse to perform analytical processing, how to maintain performance, and how to protect the data.

Describe how to use Azure Data Factory to import, transform, and transfer data between repositories and services. About this course The main purpose of the course is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning with big data tools such as HDInsight and R Services.

Audience profile The primary audience for this course is people who wish to analyze and present data by using Azure Machine Learning. The secondary audience is IT professionals, Developers, and information workers who need to support solutions based on Azure machine learning.

How do you bridge the worlds of business and technology? How do you harness big data for business gain? How do you deliver value from analytical initiatives? Based on Wayne’s book, “Secrets of Analytical Leaders: Insights from Information Insiders,” this session will unveil the success secrets of top information leaders from companies such as Zynga, Netflix, US Xpress, Nokia, Capital One, Kelley Blue Book and Blue KC, among others. The session will cover both the “soft stuff” of people, processes, and projects and the “hard stuff” of architecture, tools, and data required to create and sustain a successful analytics program.

You Will Learn How To: Deliver value quickly Span business and technology Manage change Translate insights into business impact Create an agile data warehouse About Wayne Eckerson Wayne Eckerson is an internationally recognized thought leader in the business intelligence and analytics field. He is a sought-after consultant and noted speaker who thinks critically, writes clearly and presents persuasively about complex topics. Eckerson has shared his insights and advice with a wide range of companies. Recent clients include Avalon Bay Communities, TE Connectivity, MetLife, Zipcar, Guardian Insurance, Nordeus, Grange Insurance, and KARL STORZ. He has also conducted many groundbreaking research studies, chaired numerous conferences, and written two widely read books: “The Secrets of Analytical Leaders: Insights from Information Insiders.”(2012) and “Performance Dashboards: Measuring, Monitoring, and Managing Your Business” (2005/2010). Eckerson is principal consultant of Eckerson Group, LLC, a business-technology consulting firm that helps business leaders use data and technology to drive better insights and actions.

Hach Bod Incubator Model 205 Manual Transfer on this page. His team of researchers and experienced consultants provide cutting-edge information and advice on business intelligence, analytics, performance management, data governance, data warehousing, and big data. They work closely with organizations that want to assess their current capabilities and develop a strategy for turning data into insights and action. For many years, Wayne served as director of education and research at The Data Warehousing Institute (TDWI) where he oversaw the company’s research and training programs and chaired its BI Executive Summit. He has also served as an industry analyst at the Patricia Seybold Group and TechTarget.

He has a bachelor’s degree from Williams College and a master’s degree from Wesleyan University. Cancellation Policy Cancellations must be received in writing at least two weeks before the commencement of the seminar and will be subject to a 15% administration fee. Unfortunately, cancellations received within two weeks of the seminar date will be liable for the full seminar fee. Substitutions can be made at any time. GDPR Foundation training enables you to learn the basic elements to implement, manage and align a privacy framework with and based on the General Data Protection Regulation. During this training course, you will be able to understand the fundamental privacy principles and become familiar with the role of the Data Protection Officer. After completing this course, you can sit for the exam and apply for a “PECB GDPR Foundation” credential.