16
Antonio Alvarez, EMEA BDM for Database & Big Data/Analytics Email: [email protected] Twitter: @A_AlvarezGarcia Agile BI in the Cloud

Agile BI - Pop-up Loft Tel Aviv

Embed Size (px)

Citation preview

Antonio  Alvarez,  EMEA  BDM  for  Database  &  Big  Data/AnalyticsE-­‐mail:  [email protected]:  @A_AlvarezGarcia

Agile  BI  in  the  Cloud

AWS  Redshift  Value  Proposition

QuickSight

DynamoDB(NoSQL)

EMR

Capacity planning

Redshift: Value proposition

Simple and flexibleComplexity & Redundancy

Slowness

Real Time/Streaming

Big Data Ready

hidden Cost

Compressed 5X

No Insight

Latency

Scalable and Elastic

Unlimited capacity

Precision and Depth

Value

Scalability??

Kinesis

Redshift

Redshift

Columnar Zone Maps Optimized HWParallel processing

Fully Managed: Back-ups, etc..

Available for Analysis

Agility

Any application

Secure

Streaming Data

* Data Pipeline/Lambda

**

*

10+X faster

QuickSight

Time  To  market  Reduction  (-­64%)  *

* Based  on  Customer   feedback   after  migrations   to  Redshift   from  traditional  DWH   technologies

Improvement

74%  

Real-­Time  BI:Streaming Analytics

Amazon  Kinesis  Streams

Build  your  own  custom  applications  that  process  or  analyze  streaming  

data

Amazon  Kinesis  Firehose  (new)Easily  load  massive  volumes  of  streaming  

data  into  Amazon  S3  and  Amazon  Redshift

Amazon  Kinesis  Analytics  (new)  Easily  analyze  data  

streams  using  standard  SQL  queries

Amazon  Kinesis  Services   that  make  it  easy  to  work  with  real-­time  data  streams  on  AWS

Amazon  Kinesis  Analytics  (Coming  Soon)Easiest  Way  to  Analyze  Streaming  Data  with  Standard  SQL

With  Amazon  Kinesis  Analytics• Parses  data  streams  and  makes  the  fields  available  for  you  to  explore  

• UI,  Wizards,  and  library  of  operators  to  build  SQL  queries

• Fully  managed  service,  zero  ongoing  administration  

Today• Customers  use  Amazon  Kinesis  Streams  with  frameworks  such  as  Apache  Spark,  Apache  Storm

• Requires  building  custom  stream  processing  code

Amazon  QuickSight

Fast  Insights  with  SPICE

• Super-­fast,  Parallel,  In-­memory  optimized,  Calculation  Engine

• 2  to  4x  Compression  Columnar  Data

• Compiled  Queries with  Machine  Code  Generation

• Rich  Calculations  

• SQL  Like  Syntax

• Very  Fast  Response  Time  to  Queries

• Fully  managed  – No  hardware  or  Software  to  License

Business  User

QuickSightAPI

Data  Prep Meta  Data SuggestionsConnectors SPICE

Business  User

QuickSightUI

Mobile  Devices Web  Browsers

S3 Kinesis DynamoDB   EMRRedshift RDSFiles Salesforce

Partner  BI  products

Fast  to  Get  Started Fast  Insights  with  SPICEEasily  Explore  Any  AWS  Data

Easy  to  Use  and  Share Effortless   Scale Low  Cost

References

Growing  ecosystem http://aws.amazon.com/redshift/partners

Thank you

Contact information:

Antonio AlvarezEMEA BDM for Databases & Big DataTwitter: @A_alvarezGarciaE-mail: [email protected]