Amazon QuickSight

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Amazon Web Services

Amazon QuickSight at the Best of re:Invent Tel Aviv 2015

© 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Guy Ernest
Solutions Architecture
Amazon QuickSight
18.11.2015

Introducing Amazon QuickSight (Preview,)
A Very Fast, Cloud-Powered Business
Intelligence Service For 1/10th
the Cost of Traditional BI Software

• Requires no IT effort or complex dimensional modeling
• Auto-discovery of all AWS data sources
• Reduces time to first visualization down to a minute
Get Started Quickly

Fast Calculations with SPICE
• Super-fast, Parallel, In-memory Calculation Engine (“SPICE”)
• Provides response time in milliseconds for most queries

Connect to Virtually Any Data
• AWS Data Sources
Amazon Redshift, Amazon Aurora,
Amazon RDS, Amazon DynamoDB,
Amazon S3, Amazon EMR, Amazon
Kinesis
• Partner Data Sources & Applications,
Salesforce, Google Analytics, EC2
Databases
• Files
CSV, TSV, CLF, XLS

Easy To Use and Share
• Intuitive interface for ad-
hoc analysis
• Best-fit visualizations for
data sets create
dashboards and publish
• Share your perspectives
using story boards
• Embed your BI reports
in applications and
websites

Partner Ready
• Supports SQL for analysis
• API and ODBC connectors for
partner integration
• Working with Tableau, Qlik,
Tibco/Jaspersoft, SAP

Low Cost
Enterprise edition adds active directory integration, encryption at rest, fine-
grained user access control, audit logs, custom domain, branded site, and up
to 2X the query throughput of the Standard Edition.

Seasonality

Weather Influence

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Cutting to the chase for Machine Learning Analytics Ecosystem & AWS Lake Form...

利用 Amazon QuickSight 視覺化分析服務剖析資料

利用 Amazon QuickSight 視覺化分析服務剖析資料

利用 Amazon QuickSight 視覺化分析服務剖析資料

CMP211_Getting Started with Serverless Architectures

CMP211_Getting Started with Serverless Architectures

CMP211_Getting Started with Serverless Architectures

21st Century Analytics with Zopa

21st Century Analytics with Zopa

21st Century Analytics with Zopa

Visualize your data in Data Lake with AWS Athena and AWS Quicksight Hands-on ...

Visualize your data in Data Lake with AWS Athena and AWS Quicksight Hands-on ...

Visualize your data in Data Lake with AWS Athena and AWS Quicksight Hands-on ...

Accelerate your Cloud Success with Platform Services

Accelerate your Cloud Success with Platform Services

Accelerate your Cloud Success with Platform Services

Easy Analytics with AWS - AWS Summit Bahrain 2017

Easy Analytics with AWS - AWS Summit Bahrain 2017

Easy Analytics with AWS - AWS Summit Bahrain 2017

ABD311_Deploying Amazon QuickSight For Enterprise

ABD311_Deploying Amazon QuickSight For Enterprise

ABD311_Deploying Amazon QuickSight For Enterprise

AWS October Webinar Series - Introducing Amazon QuickSight

AWS October Webinar Series - Introducing Amazon QuickSight

AWS October Webinar Series - Introducing Amazon QuickSight

Deploying Business Analytics at Enterprise Scale - AWS Online Tech Talks

Deploying Business Analytics at Enterprise Scale - AWS Online Tech Talks

Deploying Business Analytics at Enterprise Scale - AWS Online Tech Talks

Serverless Big Data Analytics using Amazon Athena and Amazon QuickSight - May...

Serverless Big Data Analytics using Amazon Athena and Amazon QuickSight - May...

Serverless Big Data Analytics using Amazon Athena and Amazon QuickSight - May...

Serverless Big Data Analytics with Amazon Athena and Amazon Quicksight - May ...

Serverless Big Data Analytics with Amazon Athena and Amazon Quicksight - May ...

Serverless Big Data Analytics with Amazon Athena and Amazon Quicksight - May ...

Building your Datalake on AWS

Building your Datalake on AWS

Building your Datalake on AWS

Agile BI - Pop-up Loft Tel Aviv

Agile BI - Pop-up Loft Tel Aviv

Agile BI - Pop-up Loft Tel Aviv

AWS re:Invent 2016: Building Big Data Applications with the AWS Big Data Plat...

AWS re:Invent 2016: Building Big Data Applications with the AWS Big Data Plat...

AWS re:Invent 2016: Building Big Data Applications with the AWS Big Data Plat...

Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...

Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...

Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...

From Batch to Streaming - How Amazon Flex Uses Real-time Analytics

From Batch to Streaming - How Amazon Flex Uses Real-time Analytics

From Batch to Streaming - How Amazon Flex Uses Real-time Analytics

Mais de Amazon Web Services

Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS. In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...

Amazon Web Services

Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi

Esegui pod serverless con Amazon EKS e AWS Fargate

Esegui pod serverless con Amazon EKS e AWS Fargate

Esegui pod serverless con Amazon EKS e AWS Fargate

Amazon Web Services

Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.

Costruire Applicazioni Moderne con AWS

Costruire Applicazioni Moderne con AWS

Costruire Applicazioni Moderne con AWS

Amazon Web Services

L’utilizzo dei container è in continua crescita. Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili. I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!

Come spendere fino al 90% in meno con i container e le istanze spot

Come spendere fino al 90% in meno con i container e le istanze spot

Come spendere fino al 90% in meno con i container e le istanze spot

Amazon Web Services

In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th. Event Agenda : Open banking so far (short recap) • PSD2, OB UK, OB Australia, OB LATAM, OB Israel Intro to Open Finance marketplace • Scope • Features • Tech overview and Demo The role of the Cloud The Future of APIs • Complying with regulation • Monetizing data / APIs • Business models • Time to market One platform for all: a Strategic approach Q&A

Open banking as a service

Open banking as a service

Open banking as a service

Amazon Web Services

Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc. AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta. Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.

Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...

Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...

Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...

Amazon Web Services

Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity. AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet. Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.

OpsWorks Configuration Management: automatizza la gestione e i deployment del...

OpsWorks Configuration Management: automatizza la gestione e i deployment del...

OpsWorks Configuration Management: automatizza la gestione e i deployment del...

Amazon Web Services

Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Amazon Web Services

Computer Vision con AWS

Computer Vision con AWS

Computer Vision con AWS

Amazon Web Services

Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti. Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi. La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.

Database Oracle e VMware Cloud on AWS i miti da sfatare

Database Oracle e VMware Cloud on AWS i miti da sfatare

Database Oracle e VMware Cloud on AWS i miti da sfatare

Amazon Web Services

Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti. Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire. Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito. In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.

Crea la tua prima serverless ledger-based app con QLDB e NodeJS

Crea la tua prima serverless ledger-based app con QLDB e NodeJS

Crea la tua prima serverless ledger-based app con QLDB e NodeJS

Amazon Web Services

Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline. Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.

API moderne real-time per applicazioni mobili e web

API moderne real-time per applicazioni mobili e web

API moderne real-time per applicazioni mobili e web

Amazon Web Services

Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi. La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali. In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.

Database Oracle e VMware Cloud™ on AWS: i miti da sfatare

Database Oracle e VMware Cloud™ on AWS: i miti da sfatare

Database Oracle e VMware Cloud™ on AWS: i miti da sfatare

Amazon Web Services

Tools for building your MVP on AWS

Tools for building your MVP on AWS

Tools for building your MVP on AWS

Amazon Web Services

How to Build a Winning Pitch Deck

How to Build a Winning Pitch Deck

How to Build a Winning Pitch Deck

Amazon Web Services

Building a web application without servers

Building a web application without servers

Building a web application without servers

Amazon Web Services

Fundraising Essentials

Fundraising Essentials

Fundraising Essentials

Amazon Web Services

AWS_HK_StartupDay_Building Interactive websites while automating for efficien...

AWS_HK_StartupDay_Building Interactive websites while automating for efficien...

AWS_HK_StartupDay_Building Interactive websites while automating for efficien...

Amazon Web Services

Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.

Introduzione a Amazon Elastic Container Service

Introduzione a Amazon Elastic Container Service

Introduzione a Amazon Elastic Container Service

Amazon Web Services

Come costruire un'architettura Serverless nel Cloud AWS

Come costruire un'architettura Serverless nel Cloud AWS

Come costruire un'architettura Serverless nel Cloud AWS

Amazon Web Services

Mais de Amazon Web Services (20)

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...

Esegui pod serverless con Amazon EKS e AWS Fargate

Esegui pod serverless con Amazon EKS e AWS Fargate

Esegui pod serverless con Amazon EKS e AWS Fargate

Costruire Applicazioni Moderne con AWS

Costruire Applicazioni Moderne con AWS

Costruire Applicazioni Moderne con AWS

Come spendere fino al 90% in meno con i container e le istanze spot

Come spendere fino al 90% in meno con i container e le istanze spot

Come spendere fino al 90% in meno con i container e le istanze spot

Open banking as a service

Open banking as a service

Open banking as a service

Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...

Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...

Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...

OpsWorks Configuration Management: automatizza la gestione e i deployment del...

OpsWorks Configuration Management: automatizza la gestione e i deployment del...

OpsWorks Configuration Management: automatizza la gestione e i deployment del...

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Computer Vision con AWS

Computer Vision con AWS

Computer Vision con AWS

Database Oracle e VMware Cloud on AWS i miti da sfatare

Database Oracle e VMware Cloud on AWS i miti da sfatare

Database Oracle e VMware Cloud on AWS i miti da sfatare

Crea la tua prima serverless ledger-based app con QLDB e NodeJS

Crea la tua prima serverless ledger-based app con QLDB e NodeJS

Crea la tua prima serverless ledger-based app con QLDB e NodeJS

API moderne real-time per applicazioni mobili e web

API moderne real-time per applicazioni mobili e web

API moderne real-time per applicazioni mobili e web

Database Oracle e VMware Cloud™ on AWS: i miti da sfatare

Database Oracle e VMware Cloud™ on AWS: i miti da sfatare

Database Oracle e VMware Cloud™ on AWS: i miti da sfatare

Tools for building your MVP on AWS

Tools for building your MVP on AWS

Tools for building your MVP on AWS

How to Build a Winning Pitch Deck

How to Build a Winning Pitch Deck

How to Build a Winning Pitch Deck

Building a web application without servers

Building a web application without servers

Building a web application without servers

Fundraising Essentials

Fundraising Essentials

Fundraising Essentials

AWS_HK_StartupDay_Building Interactive websites while automating for efficien...

AWS_HK_StartupDay_Building Interactive websites while automating for efficien...

AWS_HK_StartupDay_Building Interactive websites while automating for efficien...

Introduzione a Amazon Elastic Container Service

Introduzione a Amazon Elastic Container Service

Introduzione a Amazon Elastic Container Service

Come costruire un'architettura Serverless nel Cloud AWS

Come costruire un'architettura Serverless nel Cloud AWS

Come costruire un'architettura Serverless nel Cloud AWS

Último

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.

Corporate and higher education May webinar.pptx

Corporate and higher education May webinar.pptx

Corporate and higher education May webinar.pptx

Rustici Software

Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

Introduction to Multilingual Retrieval Augmented Generation (RAG)

Introduction to Multilingual Retrieval Augmented Generation (RAG)

Introduction to Multilingual Retrieval Augmented Generation (RAG)

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"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨‍🏫👨‍💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

UiPathCommunity

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Architecting Cloud Native Applications

Architecting Cloud Native Applications

Architecting Cloud Native Applications

Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...

Jeffrey Haguewood

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

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Six Myths about Ontologies: The Basics of Formal Ontology

Six Myths about Ontologies: The Basics of Formal Ontology

johnbeverley2021

Exploring Multimodal Embeddings with Milvus

Exploring Multimodal Embeddings with Milvus

Exploring Multimodal Embeddings with Milvus

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Khushali Kathiriya

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Angeliki Cooney

Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

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Introduction to Multilingual Retrieval Augmented Generation (RAG)

Introduction to Multilingual Retrieval Augmented Generation (RAG)

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Six Myths about Ontologies: The Basics of Formal Ontology

Six Myths about Ontologies: The Basics of Formal Ontology

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Artificial Intelligence Chap.5 : Uncertainty

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TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

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Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Amazon QuickSight

1. © 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Guy Ernest Solutions Architecture Amazon QuickSight 18.11.2015

2. Introducing Amazon QuickSight (Preview,) A Very Fast, Cloud-Powered Business Intelligence Service For 1/10th the Cost of Traditional BI Software

3. • Requires no IT effort or complex dimensional modeling • Auto-discovery of all AWS data sources • Reduces time to first visualization down to a minute Get Started Quickly

4. Fast Calculations with SPICE • Super-fast, Parallel, In-memory Calculation Engine (“SPICE”) • Provides response time in milliseconds for most queries

5. Connect to Virtually Any Data • AWS Data Sources Amazon Redshift, Amazon Aurora, Amazon RDS, Amazon DynamoDB, Amazon S3, Amazon EMR, Amazon Kinesis • Partner Data Sources & Applications, Salesforce, Google Analytics, EC2 Databases • Files CSV, TSV, CLF, XLS

6. Easy To Use and Share • Intuitive interface for ad- hoc analysis • Best-fit visualizations for data sets create dashboards and publish • Share your perspectives using story boards • Embed your BI reports in applications and websites

7. Partner Ready • Supports SQL for analysis • API and ODBC connectors for partner integration • Working with Tableau, Qlik, Tibco/Jaspersoft, SAP

8. Low Cost Enterprise edition adds active directory integration, encryption at rest, fine- grained user access control, audit logs, custom domain, branded site, and up to 2X the query throughput of the Standard Edition.

9.

10. Seasonality

11. Weather Influence