Study points for the exam Candidates should be able to perform the tasks listed below: Establish and import data sources Import from Flat File Source locally Import from Flat File Source ftp Import from RDBMS Federate and transform data Use the Teiid Designer wizards to automatically generate data translators Understand and update generated translators Apply simple data transformations such as Type Casting Apply complex transformations inbuilt transformation functions Use the various inbuilt translators VDB Modeling Aggregate different typed data stores to create a federated view including: Files (flat and XML) Multiple, different relational database Implement SQL logic from distinct data stores Understand and implement materialized views Tuning Improve performance by using in mem * Developers and architects who will be responsible for modeling and creating federated views of multiple, different data sources using Red Hat JBoss Data Virtualization Database administrators who may be involved in a project using Red Hat JBoss Data Virtualization to model and create federated views of multiple, different data sources Study points for the exam Candidates should be able to perform the tasks listed below: Establish and import data sources Import from Flat File Source locally Import from Flat File Source ftp Import from RDBMS Federate and transform data Use the Teiid Designer wizards to automatically generate data translators Understand and update generated translators Apply simple data transformations such as Type Casting Apply complex transformations inbuilt transformation functions Use the various inbuilt translators VDB Modeling Aggregate different typed data stores to create a federated view including: Files (flat and XML) Multiple, different relational database Implement SQL logic from distinct data stores Understand and implement materialized views Tuning Improve performance by using in memory cache Use techniques to bypass caches as needed Tune caching behavior for specific requirements Reporting - Data export Create READ procedure Expose procedure results as XML or JSON Expose data as RestFul services Understand and anticipate performance issues Runtime Package and deploy virtual databases Understand how to use Teiid Designer to control and mange the Data Virtualization runtime Scores and reporting Official scores for exams come exclusively from Red Hat Certification Central. Red Hat does not authorize examiners or training partners to report results to candidates directly. Scores on the exam are usually reported within 3 U.S. business days. Exam results are reported as section scores. Red Hat does not report performance on individual items, nor will it provide additional information upon request. Prerequisites There are no prerequisites to take this exam but it is recommended that an individual take Red Hat JBoss Data Virtualization Administration (JB450) training course. Recommended courses JB450 - Red Hat JBoss Data Virtualization Development ...

Kurz SQL SERVER INTEGRATION SERVICES 2016 - 2019 PRO POKROČILÉ vysvětluje do detailů nejen jednotlivé části SSIS, ale zejména použití pokročilých technik zřetězením pokročilých komponent SSIS pro vytvoření netradičních či náročných řešení. Projdeme si i všechny možnosti rozšíření SSIS, od programování vlastních komponent po jejich nasazení do provozu. Součástí kurzu jsou i moderní řešení jako je integrace s Azure cloudem, Data Quality Services, Master Data Services, SharePointu či webovými službami. Jedná se o intenzivní kurz, díky kterému dostanete z SSIS maximum, při datawarehousingu jakož i integrací různých systémů. ...

Building a Serverless Data Lake is a one-day, advanced-level bootcamp designed to teach you how to design, build, and operate a serverless data lake solution with AWS services. The bootcamp will include topics such as ingesting data from any data source at large scale, storing the data securely and durably, enabling the capability to use the right tool to process large volumes of data, and understanding the options available for analyzing the data in near-real time. ...

The AWS Certified Machine Learning – Specialty exam validates a candidate s ability to design, implement, deploy, and maintain machine learning (ML) or deep learning (DL) solutions for given business problems. People with one to two years of experience developing, architecting, or running ML - DL workloads on the AWS cloud should join this workshop to lea> how to prepare to successfully pass the exam. The workshop explores the exam’s topic areas, shows how they relate to machine learning on A ...

Introduction to building and managing APIs using standard practices with Red Hat 3scale API Management Build and Administer APIs with Red Hat 3scale API Management (AD240) is a hands-on, lab-based course that gives developers and administrators an introduction to managing APIs with our technology. Red Hat® 3scale API Management enables developers and administrators to monetize, manage, and document APIs. This course is based on Red Hat 3scale API Management 2.4. API management capabilities are b ...

In this course, you will lea> the fundamental concepts of cloud computing and how a cloud strategy can help companies in the financial services industries (FSI) meet business objectives. It explores the advantages and possibilities of cloud computing in banking, insurance, capital markets, payments, and financial technology. The course addresses concepts such as security, fraud detection, analytics, and compliance to help facilitate discussions with line of business (LOB) professionals, inf ...

Introduction to building and managing APIs using standard practices with Red Hat 3scale API Management Cloud-Native API Administration with Red Hat 3scale API Management (DO240) is a hands-on, lab-based course that gives developers and administrators an introduction to managing APIs with our technology. Red Hat® 3scale API Management enables developers and administrators to monetize, manage, and document APIs. This course is based on Red Hat 3scale API Management 2.4. API management capabilities ...

In this self-paced course, you lea> about the process for planning data analysis solutions and the various data analytic processes that are involved. This course takes you through five key factors that indicate the need for specific AWS services in collecting, processing, analyzing, and presenting your data. This includes learning basic architectures, value propositions, and potential use cases. The course introduces you to the AWS services and solutions to help you build and enhance data analy ...

title= info > Tento hodinový webinář je součástí programu Online FITCO . Předplatné na 6 měsíců na 3 měsíce Počet 1 2 3 4 Cena 11 200 Kč bez DPH 13 552 Kč s DPH ...