the emergence of big-data-as-a-service: it's bdaas

Post on 23-Feb-2017

347 Views

Category:

Data & Analytics

1 Downloads

Preview:

Click to see full reader

TRANSCRIPT

Twitter: @BDaaSmeetup

Hashtag: #BDaaS

Our Sponsor

Big-Data-as-a-Service. On-premises. It’s BDaaS.

BDaaSBigData-as-a-Service

bbenoy@gmail.comlinkedin:bbenoy

About me

- Google @ BigData and Cloud Computing

- Solution Architect in data integration for Fortune 100 companies Citibank,

Vertex Pharma, Federal Reserve Board, ebay-enterprise,Northrop

Grumman….

- Thesis on BigData-as-a-Service @ MIT in 2014

Agenda

● Problems of traditional BigData● Why BDaaS?● BDaaS framework● Considerations● Questions and Answers

Current Scenario

● Gartner refers to data sets that have “high variety, volume and velocity”○ Volume is easier than variety or velocity

● Traditional sources (transactions, logs) still dominate BigData processing

efforts

● BigData technologies are diverse but based on existing investments

● Gartner predicts that 90% of the information assets from BigData analytics

efforts will be siloed and unleveraged across the organization

Types of data

Hype cycle 2012

Hype cycle 2013

Hype cycle 2014

Hype cycle 2015

Need for BDaaS

● Cloud Computing to take BigData technologies to the plateau of productivity

● Ability to move from planning to deployed state rapidly○ Evaluation, prototyping

○ Infrastructure

● Bridge the gap○ Capability Gap

○ Usability Gap

State of BigData adoption in organizations

BigData challenges

Investments in BigData projects

What is BDaaS

BDaaS is defined as a framework of cloud-based, distributed computing technologies enabling end users to work with BigData

BDaaS Stack

Datacenters, Hardware

Amazon EC2

Google Store,Amazon s3

Google App Engine

Google BigQuery

Tibco Spotfire Silver, IBM Watson Analytics

BDaaS Stack by job function

SR

E

Dat

a en

gine

ers

Sof

twar

e E

ngin

eers

Ana

lyst

s

BDaaS and Self Service Computing

Considerations

● Secure computations○ Distributed computing in internal VPN and in Cloud Computing are different ballgame

● Integration○ Moving existing infrastructure to Cloud is a challenge

● Regulatory Issues○ Moving data to offsite location

● Expensive

● Reliability and Availability

Questions ?

Connect bbenoy@gmail.com

Linkedin bbenoy

Wrap-Up• We’ll share the slides and video recording

• Suggestions for future meetups?

• Next meeting TBD – we’ll keep you posted

Thank you for attending!

Thanks to our sponsor:

www.bluedata.com

Twitter: @BDaaSmeetup

Hashtag: #BDaaS

top related