The Confederation of Norwegian Enterprise (NHO) turned to data to help the Norwegian enterprises weather the crisis during Covid-19 Pandemic. How NHO established data collection from thousands of enterprises and used this to influence government support packages, generate hundreds of media articles and work closely with the Norwegian government to avoid bankruptcy for their members, find out from:
Helge Rege Gårdsvoll – the BI Architect at NHO (Norway’s largest organisation for employers and the leading business lobbyist)
NHO used their azure data platform to prepare data from various sources and present this both through PowerBI for reporting and Datawrapper for visuals online. This session will both show how they have built their data platform and how they collected new data sources as they became available through the pandemic, and how all this was presented.
Let’s discover your options for creating Cloud DW in Synapse Dedicated SQL Pool by talking about the most common design concepts of this MPP Service. You will understand table distributions (or not), constraints (if any) and index options (not too many). You will see some easy optimizations you can start with from the very beginning.
Second part of the Azure Synapse Analytics Webinar series shows you the MPP SQL Pool (Formerly Azure DW) solution – solution architecture, loading data to SQL Pool and Some design good practices.
Azure Synapse Analytics is a limitless analytics service that brings together enterprise data warehousing and Big Data analysis.
It provides many possibilities to build and query relational and big data in Azure in a massive scale. Align with the concept of Data Lakehouse, SQL On-demand and raw data processing in Synapse Analytics. Start from beginning and see how the service can help in building Modern Analytics Solutions in Azure.
PowerBI is great visualization and data transformation tool. But often there are scenarios, where you need to act immediately on the data you see, like start a notification or approval workflow or adjust part of the report data. PowerBI does not have direct write back capabilities, but this functionality can be achieved by the native PowerApps integration. So, how to build reports with data input capabilities, or reports, that allow you to start business process straight from the reporting pane? Join us on this demo rich webinar, where we will discuss the integration approach, how to implement different write-back scenarios and best practices for creating reports with PowerApps integration.
Instructor: Ivan Donev (MVP, MCT)
Лектор: Стоян Чалдъков
Предишен опит с PoweBI – незадължителен; Опит при работа с данни – желателен; Любознателност – задължително
Научете как да: Комбинирате данни от различни източници; Обработвате големи обеми от данни; Създавате интерактивни визуализации
И всичко това, само за 45 минути? Обещаваме ви да бъде интересно за: *-анализатори и всички хора, чиято професионална мисия да е обработват и визуализират данни
Relationships in PowerBI – a core feature that allow you to define correlation between multiple tables and achieve correct analysis. It is relatively easy to create them, but there are also a lot of specifics -> cross-filter direction, handling multiple relationships between tables, overriding existing properties, etc. Join us in this webinar and learn everything important around relationships in PowerBI, get some best practices for modelling relationships and some real-life implementation scenarios.
Този уебинар се фокусира върху примерна имплементация на цялостно DWH и BI решение. Включва много демонстрации от всеки един слой на едно такова решение, дискутираме различните стратегии за засичане на промени по източниците, разглеждаме SSIS пакети за трансформация на данни, както и ще погледнем нещата от страна на крайния потребител и инструментите, които могат да се използват и как.
Billion row DWH in Azure? Really?
Yes, a billion! And why stop there? Ingesting and structuring so many records is challenging, especially if you want to build a reporting or analytics solution on top of the data. In this webinar we will show what are the services that you can use to solve the different scenarios and demonstrate a sample end-to-end solution using Azure Data Lake Gen2, Azure Databricks and PowerBI.
Trainer: Ivan Donev
After registration in the day of the webinar you will receive an email with instructions how to join.
Contact the organizers:
Inspirit – 0885 113 442