Business Intelligence in Minutes with Amazon Athena and Amazon QuickSight

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Leverage Amazon S3, Amazon Athena, and Amazon QuickSight to explore and visualise data without having to manage a database or spin up a server. We will show you how to upload a dataset to a Data Lake in the AWS Cloud, optimise it in a format that enables high speed queries using SQL, and create rich web-based visualisations from those results. Speaker: Aun Iftikhar, Solutions Architect, AWS

© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Aun Iftikhar
Solutions Architect, Amazon Web Services
Business Intelligence in Minutes with Amazon
Athena and Amazon QuickSight

© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.

© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Collect ProcessStore
Consum
e
Time to Value

© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Data set 1
Data set 2
Data set 3
Data set 4
Data set 5
Enable Experimentation

© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Hadoop
Cluster
SQL
Database
Data
Warehouse
Evolution Of Tools

© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
No servers to provision
or manage
Scale with usage
Never pay for idle Availability and fault
tolerance built in
Explore With Simplicity

© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Serverless Business Intelligence
Data
Storage
Analytics
Engine
Visualisation
Layer
Metadata
Catalog
1
2
3 4

© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon S3
Ingest Process
Secure
Amazon
S3
Get your data into S3
quickly and securely
Use of predictive and prescriptive
analytics to gain better
understanding
Easy and secure,
auditable access

© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
AWS Glue
AWS Glue
Data Catalog
Hive Compatible
Use Hive APIs or Hive SQL
Data Crawlers
Auto-populate the data catalog
with built-in classifiers

© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon Athena
Amazon Athena is an interactive query service that
makes it easy to analyse data directly from Amazon
S3 using ANSI Standard SQL

© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon Athena
Amazon
Athena
Pay Per Query
Only pay for data scanned.
No ETL
Standards Based
Built on Presto. Runs
standard SQL
Fast and Serverless
Queries executed in parallel without
having to manage clusters

© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon QuickSight
Integrated
Fully managed and scalable
Super fast and easy to use
Cost-effective

© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Serverless Business Intelligence
Amazon
S3
Amazon
Athena
Amazon
Quicksight
AWS
Glue
1
2
3 4

© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
http://amzn.to/2iWVYey
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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!

Open banking as a service

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

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

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.

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

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.

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

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.

Computer Vision con AWS

Amazon Web Services

Database Oracle e VMware Cloud on AWS i miti da sfatare

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.

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

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.

API moderne real-time per applicazioni mobili e web

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.

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

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.

Tools for building your MVP on AWS

Amazon Web Services

1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS). 2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels. 3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.

How to Build a Winning Pitch Deck

Amazon Web Services

This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.

Building a web application without servers

Amazon Web Services

This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.

Fundraising Essentials

Amazon Web Services

This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.

AWS_HK_StartupDay_Building Interactive websites while automating for efficien...

Amazon Web Services

This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.

Introduzione a Amazon Elastic Container Service

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.

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

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Business Intelligence in Minutes with Amazon Athena and Amazon QuickSight

1. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved. Aun Iftikhar Solutions Architect, Amazon Web Services Business Intelligence in Minutes with Amazon Athena and Amazon QuickSight

7. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved. No servers to provision or manage Scale with usage Never pay for idle Availability and fault tolerance built in Explore With Simplicity

9. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved. Amazon S3 Ingest Process Secure Amazon S3 Get your data into S3 quickly and securely Use of predictive and prescriptive analytics to gain better understanding Easy and secure, auditable access

10. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved. AWS Glue AWS Glue Data Catalog Hive Compatible Use Hive APIs or Hive SQL Data Crawlers Auto-populate the data catalog with built-in classifiers

11. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved. Amazon Athena Amazon Athena is an interactive query service that makes it easy to analyse data directly from Amazon S3 using ANSI Standard SQL

12. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved. Amazon Athena Amazon Athena Pay Per Query Only pay for data scanned. No ETL Standards Based Built on Presto. Runs standard SQL Fast and Serverless Queries executed in parallel without having to manage clusters

16. Thank You

Business Intelligence in Minutes with Amazon Athena and Amazon QuickSight

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