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SQLSaturday #829 - Pordenone 2019

Start Time (24h)	Speaker	Track	Title
09:45:00	Luca Zavarella	Advanced Analysis Techniques	Market Basket Analysis in SQL Server Machine Learning Services
09:45:00	Andrea Martorana Tusa	Visualization	Custom maps in Power BI
09:45:00	Janusz Rokicki	Cloud Application Development Deployment	8 Steps to Securing Azure Sql PaaS
09:45:00	Gianluca Hotz	Strategy and Architecture	SQL Server 2019 CTP 2.2 (IT)
09:45:00	Francesco Milano	BI Platform Architecture, Development Administration	From Zero to Cube in forty minutes (within a web browser)
11:15:00	Dennes Torres	Analytics and Visualization	PowerBI: From Zero to Hero
11:15:00	andrea benedetti	Cloud Data Platform	Azure Data Integration:Choosing between SSIS, Azure Data Factory, Azure Databricks
11:15:00	Dejan Sarka	Advanced Analysis Techniques	Data Overview and Manipulation – T-SQL, R, Python
11:15:00	Danilo Dominici	Enterprise Database Administration Deployment	Powershell, DBATools e i "ferri del mestiere" del DBA
11:15:00	Marco Parenzan	DevOps/ Developer	Graph Databases in the Microsoft ecosystem
12:20:00	James Anderson	Application Database Development	SQL Server and Continuous Integration
12:20:00	Marco Obinu	Enterprise Database Administration Deployment	From on-prem SQL instance to SQL Azure Database Managed Instances in 60 minutes!
12:20:00	Gilberto Zampatti	Enterprise Database Administration Deployment	I metadati di SQL Server
12:20:00	Francesco De Chirico	BI Platform Architecture, Development Administration	Il mio grosso grasso modello di Power BI
12:20:00	Alessio Biasiutti	Other	Event Processing with Spark
14:30:00	Tomaž Kaštrun	Advanced Analysis Techniques	Applied data analytics with Azure Databricks
14:30:00	Marco Dal Pino	Application Database Development	Data management for disconnected or almost disconnected devices
14:30:00	Lorenzo Vercellati	Analytics and Visualization	Il Decalogo del progetto Power BI
14:30:00	Sergio Govoni	Enterprise Database Administration Deployment	SQL Server Query Optimizer end-to-end
14:30:00	Gianluca Sartori	Enterprise Database Administration Deployment	Benchmarking in the Cloud
15:35:00	Andrea Martorana Tusa	Analytics and Visualization	Failure prediction for manufacturing industry with SQL Server R
15:35:00	Gianluca Hotz	Enterprise Database Administration Deployment	SQL Server Modernization (IT)
15:35:00	Marco Minerva	Application Database Development	Accesso ai dati in applicazioni client/server con .NET Core 3.0
15:35:00	Marco Pozzan	Advanced Analysis Techniques	What is in reality a DAX filter context
15:35:00	Elisa Piccin		Common Data Model, nice to meet you
16:40:00	Kamil Nowinski	BI Platform Architecture, Development Administration	Azure Data Factory v2 with Data Flows capabilities
16:40:00	Rudi Bruchez	Enterprise Database Administration Deployment	What I have seen so far in my performance tuning audits
16:40:00	Tomaž Kaštrun	Analytics and Visualization	Near Real-time data visualizations
16:40:00	Emanuele Zanchettin	Cloud Application Development Deployment	Multitenancy – from zero to it works!
16:40:00	Marco Minerva	Other	Cosmos DB - La nuova frontiera del BigData e NoSql

SessionID: 86956

Market Basket Analysis in SQL Server Machine Learning Services

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Event Date: 23-02-2019 - Session time: 09:45:00 - Track: Advanced Analysis Techniques

Speaker: Luca Zavarella

Title: Market Basket Analysis in SQL Server Machine Learning Services

Abstract:

La Market Basket Analysis è una metodologia che permette l’identificazione delle relazioni esistenti tra una vasto numero di prodotti acquistati da differenti consumatori. Nasce come tecnica di Data Mining per supportare il cross-selling e il piazzamento a scaffale dei prodotti; ma è anche utilizzata per diagnosi mediche, nella bioinformatica, in analisi della società in base a dati anagrafici, ecc.

In questa sessione vedremo come i nuovi Machine Learning Services ci permettono di ricavare gli insight di questa analisi direttamente in SQL Server 2017, utilizzando il linguaggio di programmazione R.

SessionID: 86959

Custom maps in Power BI

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Event Date: 23-02-2019 - Session time: 09:45:00 - Track: Visualization

Speaker: Andrea Martorana Tusa

Title: Custom maps in Power BI

Abstract:

Let’s go beyond the standard visuals available in Power BI for making maps. In this session we won’t talk about Bing or ArcGIS services. We want to explore all the available features for creating custom maps without having to rely on existing ones.

Do you know what is a shapefile? Do you know how to create your own choropleth and import it into Power BI? What else? R support into Power BI opened the doors to the huge number of packages for spatial data analysis and statistical calculations included in the environment. Do you want to draw multi-layered interactive maps, or perform spatial analytics? With R in Power BI, now you can. Discover some custom visuals to overcome simple cartography: MapBox, IconMap, FlowMap. Last but not least, learn how to use Synoptic Panel, an awesome component that connects areas in a custom image with attributes in the data model and draws the data on a map. There are endless possibilities; the only limit is your imagination!

SessionID: 88158

8 Steps to Securing Azure Sql PaaS

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Event Date: 23-02-2019 - Session time: 09:45:00 - Track: Cloud Application Development Deployment

Speaker: Janusz Rokicki

Title: 8 Steps to Securing Azure Sql PaaS

Abstract:

Moving databases and workloads to the cloud has never been easier. For Sql Server there is number of products that offer almost perfect feature parity. One of the last technical challenges is right security configuration. That's because security model in the public cloud is different and requires different approach, skillset and knowledge. This session covers governance, risk management and compliance in public cloud and specifically focuses on Azure Sql PaaS resources. It provides practical examples of network topologies with their strengths and weaknesses including recommendations and best practices for hybrid and cloud-only solutions. Explains orchestration and instrumentation available in Azure like Security Center, Vulnerability Assessment, Threat Detection, Log Analytics/OMS, Data Classification, Key Vault and more. Finally shows techniques to acquire knowledge and gain advantage over attackers like deception and chaos engineering.

SessionID: 88159

SQL Server 2019 CTP 2.2 (IT)

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Event Date: 23-02-2019 - Session time: 09:45:00 - Track: Strategy and Architecture

Speaker: Gianluca Hotz

Title: SQL Server 2019 CTP 2.2 (IT)

Abstract:

A circa un anno dal rilascio della versione RTM di SQL Server 2017 è stata rilasciata la prima CTP pubblica della prossima versione che sarà la 2019. In questa sessione vedremo quali sono le novità introdotte nel database engine ricapitolando le varie funzionalità introdotte nelle versioni più recenti. Vedremo anche le novità introdotte con la nuova versione di Azure Data Studio (che sostituisce SQL Operations Studio) e del SQL Server Management Studio versione 18. Infine, vedremo una breve introduzione dell'architettura di SQL Server 2019 Big Data Cluster.

SessionID: 88414

From Zero to Cube in forty minutes (within a web browser)

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Event Date: 23-02-2019 - Session time: 09:45:00 - Track: BI Platform Architecture, Development Administration

Speaker: Francesco Milano

Title: From Zero to Cube in forty minutes (within a web browser)

Abstract:

L'utilizzo di Proof-of-Concept nei progetti BI è una pratica ormai molto diffusa. La possibilità di toccare con mano un prototipo navigabile in tempi stretti consente sia al cliente, sia al fornitore, di raffinare i requisiti in corso d'opera limitando il tempo speso in fase di analisi iniziale. Il Cloud rappresenta un ambiente ideale per lo sviluppo di PoC in quanto, riducendo drasticamente il tempo di provisioning delle risorse, permette agilmente di provare strade alternative valutandone il rapporto costi/benefici. In questa sessione (che è quasi una scommessa) proveremo, armati solamente di una subscription Azure e di un web browser, a tradurre in un modello navigabile dati grezzi forniti da un ipotetico cliente.

SessionID: 86953

PowerBI: From Zero to Hero

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Event Date: 23-02-2019 - Session time: 11:15:00 - Track: Analytics and Visualization

Speaker: Dennes Torres

Title: PowerBI: From Zero to Hero

Abstract:

Starting from the very beginning, in this session we will cross together the main features Power BI has to offer, starting with the powerful self-service ETL using M language when needed, modeling our tables and finally using powerful features to create a great data visualization, allowing you to better understand all the power and flexibility of this tool and how it will fit into your solution

SessionID: 87438

Azure Data Integration:Choosing between SSIS, Azure Data Factory, Azure Databricks

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Event Date: 23-02-2019 - Session time: 11:15:00 - Track: Cloud Data Platform

Speaker: andrea benedetti

Title: Azure Data Integration:Choosing between SSIS, Azure Data Factory, Azure Databricks

Abstract:

Azure Data Integration:Choosing between SSIS, Azure Data Factory, Azure Databricks

SessionID: 87768

Data Overview and Manipulation – T-SQL, R, Python

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Event Date: 23-02-2019 - Session time: 11:15:00 - Track: Advanced Analysis Techniques

Speaker: Dejan Sarka

Title: Data Overview and Manipulation – T-SQL, R, Python

Abstract:

In a real data mining or machine learning project, you spend more than half of the time on data preparation and data understanding. The R language is extremely powerful in this area. The Python language is a match. Of course, you do work with data by using T-SQL. You will learn in this session how to get data understanding with really quickly prepared basic graphs and descriptive statistics analysis. You can do advanced data preparation with many data manipulation methods available out of the box and in additional packages from R and Python. After this session, you will understand what tasks data preparation involves, and what tools you have in SQL Server suite for these tasks.

SessionID: 88169

Powershell, DBATools e i "ferri del mestiere" del DBA

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Event Date: 23-02-2019 - Session time: 11:15:00 - Track: Enterprise Database Administration Deployment

Speaker: Danilo Dominici

Title: Powershell, DBATools e i "ferri del mestiere" del DBA

Abstract:

Avete un certo numero di SQL Server da amministrare? State progettando la migrazione dei vostri SQL Server 2005/2008 a versioni più recenti? Questa è la sessione per voi. Powershell e moduli open source come DBATools sono tra gli arnesi che ogni buon DBA dovrebbe avere dentro la propria cassetta degli attrezzi. In questa sessione vedremo come usarli al meglio per migrare, ottimizzare, mantenere i vostri server (lo sapete, sì, che a luglio 2019 anche le versioni 2008/2008 R2 andranno fuori supporto).

SessionID: 88232

Graph Databases in the Microsoft ecosystem

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Event Date: 23-02-2019 - Session time: 11:15:00 - Track: DevOps/ Developer

Speaker: Marco Parenzan

Title: Graph Databases in the Microsoft ecosystem

Abstract:

With SQL Server and Cosmos Db we now have graph databases broadly available, after being studied for decades in Db theory, or being a niche approach in Open Source with Neo4J.

And then there are services like Microsoft Graph and Azure Digital Twins that give us vertical implementations of graph. So let's make a walkaround of graphs in the MIcrosoft ecosystem.

SessionID: 86972

SQL Server and Continuous Integration

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Event Date: 23-02-2019 - Session time: 12:20:00 - Track: Application Database Development

Speaker: James Anderson

Title: SQL Server and Continuous Integration

Abstract:

It's understandable that developers love to work in separate code branches, but this can create painful complications if not managed.

Do you dread large merge conflicts when integrating code?

Continuous Integration is a method of working where we merge and fully test our code multiple times a day. This is only possible with a high level of automation.

I'll be discussing the tools I use to achieve this automation when developing SQL Server databases.

Finding automating the deployment of database changes hard? SQL Change Automation is a tool that allows you to test deployments during development.

How do you know your database change won’t affect something you haven’t thought of? tSQLt and Pester unit tests can put your mind at rest.

Having trouble keeping your test environments in sync with production? Docker enables us to fix this with infrastructure as code

You will see how a CI approach to database development can increase team efficiency and reduce the time to go from an idea

SessionID: 87059

From on-prem SQL instance to SQL Azure Database Managed Instances in 60 minutes!

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Event Date: 23-02-2019 - Session time: 12:20:00 - Track: Enterprise Database Administration Deployment

Speaker: Marco Obinu

Title: From on-prem SQL instance to SQL Azure Database Managed Instances in 60 minutes!

Abstract:

Le Managed Instances di Azure SQL Database rappresentano il percorso ideale per migrare i tuoi workload SQL Server in cloud, quando hai necessità di coniugare le feature di un'istanza SQL Server "tradizionale" alle comodità offerte da SQL Azure Database.

Vediamo che cosa sono, e come possiamo agilmente spostarci sopra i nostri dati con pochi in maniera "DevOps-oriented".

SessionID: 88148

I metadati di SQL Server

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Event Date: 23-02-2019 - Session time: 12:20:00 - Track: Enterprise Database Administration Deployment

Speaker: Gilberto Zampatti

Title: I metadati di SQL Server

Abstract:

Oltre ai dati gestiti a vario titolo dalle diverse applicazioni che costituiscono il sistema informativo dell'Azienda, in SQL Server è presente una considerevole quantità di metadati (dati che descrivono i dati), che illustrano come sono stati creati e come sono gestiti i nostri databases, oltre a mostrare le proprietà che contraddistinguono ogni oggetto ospitato dall'istanza di SQL Server. Questa sessione vuole illustrare come questa collezione di informazioni sia preziosa per ottenere una gestione di elevata efficienza della nostra piattaforma dati.

SessionID: 88164

Il mio grosso grasso modello di Power BI

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Event Date: 23-02-2019 - Session time: 12:20:00 - Track: BI Platform Architecture, Development Administration

Speaker: Francesco De Chirico

Title: Il mio grosso grasso modello di Power BI

Abstract:

Le ottime prestazioni del motore di Power BI (VertiPaq), unite al suo elevato fattore di compressione dei dati, spesso rendono superflua l’attività di ottimizzazione dei modelli dati realizzati con Power BI desktop.

In realtà questa è una buona prassi che dovrebbe sempre essere prevista nel ciclo di sviluppo dei nostri modelli indipendentemente dalla loro dimensione e complessità. In questa sessione, dopo una breve introduzione teorica sul funzionamento di VertiPaq e dei suoi algoritmi di compressione, ci concentreremo su alcune best practices da seguire per ottimizzare i nostri modelli e sugli strumenti a nostra disposizione per verificare l’effettivo livello di ottimizzazione degli stessi. Inoltre, vedremo come sia possibile raccogliere, tramite DMV, tutte le informazioni utili delle strutture dati dei nostri modelli utilizzando Power BI desktop, fino a realizzare una versione “Power BI” del famoso tool Vertipaq Analizer.

SessionID: 88280

Event Processing with Spark

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Event Date: 23-02-2019 - Session time: 12:20:00 - Track: Other

Speaker: Alessio Biasiutti

Title: Event Processing with Spark

Abstract:

Structured Streaming è il modulo di Stream Processing costruito sul motore Spark SQL. In poche parole garantisce l'esecuzione di un messaggio esattamente una volta, è scalabile e fault-tolerant. È possibile definire le analisi stream nello stesso modo in cui si definirebbe un calcolo batch sui dati usando i Dataset/DataFrame API in Scala, Java, Python or R utilizzando l'engine SQL di Spark.

Durante la sessione vedremo un'overview delle funzionalità e un esempio di di come sia possibile eseguire l'ingestion dei dati con Event Hub (Kafka enabled) eseguire un'analisi con Spark e salvare i risultati su Cosmos DB.

SessionID: 87834

Applied data analytics with Azure Databricks

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Event Date: 23-02-2019 - Session time: 14:30:00 - Track: Advanced Analysis Techniques

Speaker: Tomaž Kaštrun

Title: Applied data analytics with Azure Databricks

Abstract:

Azure Databricks is an Apache Spark–based analytics service for big data and data analytics on top.

In this session we will create Databricks scenarios for useful business scenarios.

Data engineers and business analysts (data scientists) can now work on RDD structured files using workbooks for collaborative projects, using ANSI SQL, R, Python or Scala, easily covering both analytical and machine learning solutions on one hand, and also giving the capabilities to use it as a datawarehouse.

SessionID: 88106

Data management for disconnected or almost disconnected devices

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Event Date: 23-02-2019 - Session time: 14:30:00 - Track: Application Database Development

Speaker: Marco Dal Pino

Title: Data management for disconnected or almost disconnected devices

Abstract:

IoT devices or sensors equipment are frequently disconnected from network, either for architectural design or for not predictable events. See how to architect and design a system that can manage this events and what are the main service and solution that we can choose from.

SessionID: 88120

Il Decalogo del progetto Power BI

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Event Date: 23-02-2019 - Session time: 14:30:00 - Track: Analytics and Visualization

Speaker: Lorenzo Vercellati

Title: Il Decalogo del progetto Power BI

Abstract:

Dieci piccole regole, Best Practice, tips e tools, che renderanno più efficaci ed efficienti i vostri progetti di Power BI. Dieci suggerimenti, da Power Query alla modellazione sino ai criteri per scegliere i visuals più adatti alle proprie esigenze, frutto dell'esperienza sul campo e del confronto con alcune tra le più autorevoli voci nel panorama di Power BI.

SessionID: 88183

SQL Server Query Optimizer end-to-end

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Event Date: 23-02-2019 - Session time: 14:30:00 - Track: Enterprise Database Administration Deployment

Speaker: Sergio Govoni

Title: SQL Server Query Optimizer end-to-end

Abstract:

Execution plans are produced by the query optimizer that generates possible alternative execution plans for the same query through the use of the transformation rules. You already learned how to read an execution plan and the most significant things to look for such as warnings, most costly operators and table methods access. Now, you want to acquire a deeper understanding of how the Query Optimizer builds the optimal plan. In this session we will learn more about the phases of the optimization process, using undocumented trace flags we will discover the secrets of the Query Optimizer. Finally, we will show how to understand better the workload in terms of the percentage of time-out, the percentage of queries that contain sub-query and so on. At the end, Query Optimizer will not have any secret for you.

SessionID: 88194

Benchmarking in the Cloud

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Event Date: 23-02-2019 - Session time: 14:30:00 - Track: Enterprise Database Administration Deployment

Speaker: Gianluca Sartori

Title: Benchmarking in the Cloud

Abstract:

Lifting and shifting your application to the cloud is extremely easy, on paper. The hard truth is that the only way to know for sure how it is going to perform is to test it. Benchmarking on premises is hard enough, but benchmarking in the cloud can get really hairy because of the restrictions in PaaS environments and the lack of tooling.

Join me in this session and learn how to capture a production workload, replay it to your cloud database and compare the performance. I will introduce you to the methodology and the tools to bring your database to the cloud without breaking a sweat.

SessionID: 86960

Failure prediction for manufacturing industry with SQL Server R

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Event Date: 23-02-2019 - Session time: 15:35:00 - Track: Analytics and Visualization

Speaker: Andrea Martorana Tusa

Title: Failure prediction for manufacturing industry with SQL Server R

Abstract:

Working in manufacturing industry means that you must deal with product failures. As a BI and/or Data Scientist developer, your task is not only monitor and report product’s health state during its lifecycle, but also predict the likelihood of a fail in the production phase or when product has been delivered to the customer.

Machine Learning techniques can help us to accomplish this task. Starting from past failure data, we can build up a predictive model to forecast the likelihood for a product to fail or giving an estimate on its duration. And now it is possible to develop an end-to-end solution in SQL Server, because of the introduction of advanced analytics tools like R since release 2016. In this session, we start from the real case of a manufacturing company to create some predictive models: a) Regression model ; b) binary and multivariate models. Binary or multi-class classification problem. Some reports are also created to deliver the outcome to the stakeholders.

SessionID: 88162

SQL Server Modernization (IT)

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Event Date: 23-02-2019 - Session time: 15:35:00 - Track: Enterprise Database Administration Deployment

Speaker: Gianluca Hotz

Title: SQL Server Modernization (IT)

Abstract:

Mancano pochi mesi al termine del supporto esteso per SQL Sever 2008 e molte aziende si stanno organizzando per modernizzare i loro ambienti. Ma cosa vuol dire modernizzare? Aggiornamento, cambio di piattaforma, consolidamento, spostamento da IaaS a PaaS... quali e quanti sono gli scenari evolutivi? Quali sono i fattori bloccanti? Quali sono i fattori di rischio più comuni? Come è strutturato un progetto di migrazione/modernizzazione? Quali sono gli strumenti a supporto? A queste e altre domande cercheremo di dare risposta con questa sessione che si pone l'obiettivo sia di fornire una panoramica sull'argomento anche portando esempi concreti dal campo.

SessionID: 88174

Accesso ai dati in applicazioni client/server con .NET Core 3.0

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Event Date: 23-02-2019 - Session time: 15:35:00 - Track: Application Database Development

Speaker: Marco Minerva

Title: Accesso ai dati in applicazioni client/server con .NET Core 3.0

Abstract:

Il nuovo .NET Core 3.0 supporta Windows Forms e WPF, che sono stati rilasciati come open-source: possiamo quindi aspettarci un nuovo impulso allo sviluppo di queste piattaforme. Nel corso di questa sessione mostreremo quali sono gli strumenti che abbiamo a disposizione per realizzare architetture client/server basate su accesso ai dati con .NET Core 3.0.

SessionID: 88193

What is in reality a DAX filter context

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Event Date: 23-02-2019 - Session time: 15:35:00 - Track: Advanced Analysis Techniques

Speaker: Marco Pozzan

Title: What is in reality a DAX filter context

Abstract:

Often when discussing evaluation context in DAX courses, a complete and in-depth definition of this very important mechanism is not provided. Many times an approximation is given of what the evaluation contexts really are. In this session I will provide some important details on the evaluation contexts to proceed with more complex calculations and get a full understanding of how DAX evaluates the expressions, it is necessary learn in depth the way the evaluation contexts work and interact in a DAX Formulas

SessionID: 88992

Common Data Model, nice to meet you

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Event Date: 23-02-2019 - Session time: 15:35:00 - Track:

Speaker: Elisa Piccin

Title: Common Data Model, nice to meet you

Abstract:

“Data is the new oil” we heard it a lot of times. As IT professionals it’s very important to manage this fuel across our organizations, in order to properly feed “engines” in the hands of data analysts and data scientists.

Without being able to share and understand the same data easily, each application or data integration project requires a custom implementation, which can be expensive and potentially risky from a business users point of view. Here is where the Common Data Model (CDM) comes in: we will understand CDM underlying concepts and try some hands-on integration with Microsoft Power Platform and Azure data services.

SessionID: 87066

Azure Data Factory v2 with Data Flows capabilities

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Event Date: 23-02-2019 - Session time: 16:40:00 - Track: BI Platform Architecture, Development Administration

Speaker: Kamil Nowinski

Title: Azure Data Factory v2 with Data Flows capabilities

Abstract:

Microsoft's services in Azure helps us to leverage big data more easily and even more often accessible for non-technical users. Having UI in ADF version 2 - Microsoft added a new feature: Data Flow which resembles components of SSIS. This is a very user-friendly and non-code approach tool-set.

But, has that been only UI introduction? Why and how Databricks does work under the hood? Do you want to know this new (still in private preview) feature of ADF and reveal the power of modern big data processes without knowledge of such languages like Python or Scala? We will review this new feature of ADFv2, do deep dive to understand the mentioned techniques, compare them to SSIS and/or T-SQL and learn how modelled data flow runs Scala behind the scenes.

SessionID: 87072

What I have seen so far in my performance tuning audits

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Event Date: 23-02-2019 - Session time: 16:40:00 - Track: Enterprise Database Administration Deployment

Speaker: Rudi Bruchez

Title: What I have seen so far in my performance tuning audits

Abstract:

In the last ten years, I have audited many SQL Server databases, for performance tuning. And I have encountered the same problems again and again. Let's call them SQL Server antipatterns. This session is designed to show you what those antipatterns are, and how to avoid them once and for all.

SessionID: 87836

Near Real-time data visualizations

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Event Date: 23-02-2019 - Session time: 16:40:00 - Track: Analytics and Visualization

Speaker: Tomaž Kaštrun

Title: Near Real-time data visualizations

Abstract:

Many open source projects and tools are available on market for many of the possible ways to visualize near or real-time data. With selected language, visualization libraries, tinkering and time, one can deliver business added value with beautiful and yet self-explanatory visualization.

Session will cover several capabilities to use open source products to deliver real-time data visualization and data predictions on top of your SQL Server database.

SessionID: 88214

Multitenancy – from zero to it works!

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Event Date: 23-02-2019 - Session time: 16:40:00 - Track: Cloud Application Development Deployment

Speaker: Emanuele Zanchettin

Title: Multitenancy – from zero to it works!

Abstract:

With the evolution of the Internet in recent years, more and more services are provided online. The need to have as many installations as customers is replaced by the strategy to have a single service/product usable by different customers at the same time: this is called "multitenancy". In this session we will see why approaching this architecture and the various ways of how to implement it. At the end the "wow" effect, with a simple demo we will see that you can really do it using the ShardMapManager of Azure SQLDatabase.

SessionID: 90371

Cosmos DB - La nuova frontiera del BigData e NoSql

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Event Date: 23-02-2019 - Session time: 16:40:00 - Track: Other

Speaker: Marco Minerva

Title: Cosmos DB - La nuova frontiera del BigData e NoSql

Abstract:

Sei pronto a distribuire globalmente le tue soluzioni BigData e NoSql? Hai bisogno di un ridimensionamento trasparente e della replica dei dati ovunque si trovino gli utenti? Azure Cosmos DB è la soluzione che fa per te e vedrai in come è possibile sfruttarlo al meglio con degli esempi pratici.

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