Getting Started With Amazon Quick Sight

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Getting Started with Amazon
QuickSight
Business Analytics for Everyone
Pratim Das, Specialist SA – Analytics, EME
May 2017, AWS Summit, Stockholm

Agenda
What is Amazon QuickSight?
Integration with AWS data services
Demo
Building your first big data application with QuickSight
Pricing
Summary
Getting started

Many of our customers utilize complex and expensive BI solutions to
analyze and report on their data
Web Browser Web Browser Web Browser Web Browser Web Browser Web Browser Web Browser
Job SchedulerConnector for Java Web Server
BI Java Host
Daemon
BI Presentation
Services Daemon
BI Server
Daemon
Connector for Java Web Server
Connector for Java Web Server
Connector for Java Web Server
Red Hat Enterprise AS 32 Bit Linux
VM/ESX
BI Java Host
Daemon
BI Presentation
Services Daemon
BI Server
Daemon

Amazon QuickSight is a Business Analytics Service that lets business users
quickly and easily visualize, explore, and share insights from their data.

Who Is QuickSight For?
Store Managers
Sales Reps
CEOs
Support Reps
Warehouse Managers
Sales Managers
CMO
CEOs
AWS Ops
Product Managers
Procurement

Basic Concepts
Retail Data
Ops Data
Marketing Data
Relational
Databases
Flat Files

Deep Integration with
AWS Data Sources
Amazon RDS,
Aurora
Amazon
Redshift
Amazon
Athena
Amazon S3
Flat Files

Fast, Easy Ad-Hoc
Analytics for End Users

QuickSight + Amazon Redshift
Amazon Redshift

QuickSight + Amazon S3, Athena
Amazon Athena

New capabilities in QuickSight
Std. Edition
KPI Charts
Export to
CSV
AD
Connector
US Ohio
East Region
CloudTrail
Audit Logs
Ent. Edition
Sched.
Refresh
Excel Range
Detection
Nov ’16
GA
Dec ‘16 Feb ‘17 Apr ‘17
Athena
Support

For more demos, visit:
https://quicksight.aws/#demos

Building your first
big data
application

Building a Big Data Application
Getting Started
DBMS(s)
corporate data center

Building a Big Data Application
DBMS(s)
Amazon Redshift
Amazon
QuickSight
AWS cloud
corporate data center
Adding a data warehouse
AWS Database
Migration Service

Building a Big Data Application
web clients
mobile clients
DBMS(s)
Raw data
Amazon Redshift
Staging Data
Amazon
QuickSight
AWS cloud
Bringing in Log Data
corporate data center
Amazon EMR
DMS

Building a Big Data Application
web clients
mobile clients
DBMS(s)
Raw data
Amazon Redshift
Staging Data
Orc/Parquet
(Query optimized)
Amazon
QuickSight
AWS cloud
Extending your DW to S3
AWS Direct Connect
Amazon Athena
corporate data center
Amazon EMR
Amazon EMR
DMS

* Requires annual subscription.
Month-to-month option available:
Standard Edition is $12/user/month
Enterprise Edition is $24/user/month
Team trial: Free, 60 days, 4 users, Standard or Enterprise Edition

• Build a Community of Analysts with Amazon QuickSight
• Derive Insights from IoT in Minutes using AWS IoT,
Amazon Kinesis Firehose, Amazon Athena, and Amazon
QuickSight
• Converging Data Silos to Amazon Redshift Using AWS
DMS
• Harmonize, Search, and Analyze Loosely Coupled
Datasets on AWS
• Analyzing VPC Flow Logs with Amazon Kinesis
Firehose, Amazon Athena, and Amazon QuickSight
• Upload AWS Cost & Usage Reports to Redshift and
QuickSight
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Thank you
Sign up today for a free account at:
https://quicksight.aws

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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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In the realm of real-time applications, Large Language Models (LLMs) have long dominated language-centric tasks, while tools like OpenCV have excelled in the visual domain. However, the future (maybe) lies in the fusion of LLMs and deep learning, giving birth to the revolutionary concept of Large Action Models (LAMs). Imagine a world where AI not only comprehends language but mimics human actions on technology interfaces. For example, the Rabbit r1 device presented at CES 2024, driven by an AI operating system and LAM, brings this vision to life. It executes complex commands, leveraging GUIs with unprecedented ease. In this presentation, join me on a journey as a software engineer tinkering with WebRTC, Janus, and LLM/LAMs. Together, we’ll evaluate the current state of these AI technologies, unraveling the potential they hold for shaping the future of real-time applications.

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Getting Started With Amazon Quick Sight

1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Getting Started with Amazon QuickSight Business Analytics for Everyone Pratim Das, Specialist SA – Analytics, EME May 2017, AWS Summit, Stockholm

2. Agenda What is Amazon QuickSight? Integration with AWS data services Demo Building your first big data application with QuickSight Pricing Summary Getting started

4. Many of our customers utilize complex and expensive BI solutions to analyze and report on their data Web Browser Web Browser Web Browser Web Browser Web Browser Web Browser Web Browser Job SchedulerConnector for Java Web Server BI Java Host Daemon BI Presentation Services Daemon BI Server Daemon Connector for Java Web Server Connector for Java Web Server Connector for Java Web Server Red Hat Enterprise AS 32 Bit Linux VM/ESX BI Java Host Daemon BI Presentation Services Daemon BI Server Daemon

5. Amazon QuickSight is a Business Analytics Service that lets business users quickly and easily visualize, explore, and share insights from their data.

6. Who Is QuickSight For? Store Managers Sales Reps CEOs Support Reps Warehouse Managers Sales Managers CMO CEOs AWS Ops Product Managers Procurement

7. Getting Started

8. User Management and AD Integration

9. Basic Concepts Retail Data Ops Data Marketing Data Relational Databases Flat Files

10. Deep Integration with AWS Data Sources Amazon RDS, Aurora Amazon Redshift Amazon Athena Amazon S3 Flat Files

11. Super-fast Performance with SPICE

12. Data Prep

13. Fast, Easy Ad-Hoc Analytics for End Users

14. Collaborate, Share, and Publish

15. QuickSight + AWS Data Services

16. QuickSight + Amazon Redshift Amazon Redshift

17. QuickSight + Amazon RDS Amazon RDS

18. QuickSight + Amazon S3, Athena Amazon Athena

19. New Features

20. New capabilities in QuickSight Std. Edition KPI Charts Export to CSV AD Connector US Ohio East Region CloudTrail Audit Logs Ent. Edition Sched. Refresh Excel Range Detection Nov ’16 GA Dec ‘16 Feb ‘17 Apr ‘17 Athena Support

21. Demo

22. For more demos, visit: https://quicksight.aws/#demos

23. Building your first big data application

24. Building a Big Data Application Getting Started DBMS(s) corporate data center

25. Building a Big Data Application DBMS(s) Amazon Redshift Amazon QuickSight AWS cloud corporate data center Adding a data warehouse AWS Database Migration Service

26. Building a Big Data Application web clients mobile clients DBMS(s) Raw data Amazon Redshift Staging Data Amazon QuickSight AWS cloud Bringing in Log Data corporate data center Amazon EMR DMS

27. Building a Big Data Application web clients mobile clients DBMS(s) Raw data Amazon Redshift Staging Data Orc/Parquet (Query optimized) Amazon QuickSight AWS cloud Extending your DW to S3 AWS Direct Connect Amazon Athena corporate data center Amazon EMR Amazon EMR DMS

28. Building a Big Data Application web clients mobile clients DBMS(s) Raw data Amazon Redshift Staging Data Orc/Parquet (Query optimized) Amazon QuickSight AWS cloud Adding a real-time layer AWS Direct Connect KinesisStreams Amazon Athena corporate data center Amazon EMR Amazon EMR Amazon EMR DMS

29. Building a Big Data Application web clients mobile clients DBMS(s) Raw data Amazon Redshift Staging Data Orc/Parquet (Query optimized) Amazon QuickSight AWS cloud Adding predictive analytics AWS Direct Connect KinesisStreams Amazon Athena corporate data center Amazon EMR Amazon EMR Amazon EMR DMS Amazon Machine Learning

30. Pricing Pricing

31. * Requires annual subscription. Month-to-month option available: Standard Edition is $12/user/month Enterprise Edition is $24/user/month Team trial: Free, 60 days, 4 users, Standard or Enterprise Edition

32. Customers

33.

34. Summary

35. Secure, Scalable Cloud

36. Pricing Further readings

37. • Build a Community of Analysts with Amazon QuickSight • Derive Insights from IoT in Minutes using AWS IoT, Amazon Kinesis Firehose, Amazon Athena, and Amazon QuickSight • Converging Data Silos to Amazon Redshift Using AWS DMS • Harmonize, Search, and Analyze Loosely Coupled Datasets on AWS • Analyzing VPC Flow Logs with Amazon Kinesis Firehose, Amazon Athena, and Amazon QuickSight • Upload AWS Cost & Usage Reports to Redshift and QuickSight http://amzn.to/2oyKD5p http://amzn.to/2mzGppL http://amzn.to/2n5DbhK http://amzn.to/2kIr1bq http://amzn.to/2qpiFaK http://amzn.to/2oPIVhm

38. Thank you Sign up today for a free account at: https://quicksight.aws

Getting Started With Amazon Quick Sight

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