big data in cloud: seize your insight like a golden snitch (margaret ostapchuk technology stream)

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Page 1: Big Data in Cloud: Seize your Insight Like a Golden Snitch (Margaret Ostapchuk Technology Stream)
Page 2: Big Data in Cloud: Seize your Insight Like a Golden Snitch (Margaret Ostapchuk Technology Stream)

1 ze tabyte

Page 3: Big Data in Cloud: Seize your Insight Like a Golden Snitch (Margaret Ostapchuk Technology Stream)

2013 2014 2015 2016 2017 2019 2018

20

15

10

5

PC , tab le ts , Phones

Connected dev ices usage

1 b i l l ion

0

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Advanced Analytics The broad industry term

VA

LU

E

DIFFICULTY

Descriptive Analytics

Diagnostic Analytics

Predictive Analytics

Prescriptive Analytics

What happened?

Why did it happen?

Traditional BI Advanced Analytics

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Fully managed service to support orchestration of data movement

and processing

Connect to relational or non-relational data that is on-premises or in

the cloud

Single pane of glass to monitor and manage data processing

pipelines.

Publish to Power BI

Compose and orchestrate data services at scale

C#

MapReduce

Trusted data

BI & analytics Hive

Pig

Stored Procedures

Azure Machine Learning

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Enable enterprise-wide self-service data source registration and discovery

A metadata repository that allow users to register, enrich,

understand, discover, and consume data sources

Delivers differentiated value though

‒ Data source discovery; rather than data discovery

‒ Support for data from any source; Structured and

unstructured, on premises and in the cloud

‒ Publishing, discovery and consumption through any tool

‒ Annotation crowdsourcing: empowering any user to

capture and share their knowledge.

This, while allowing IT to maintain control and oversight

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Process real-time data in Azure using a simple SQL language

Consumes millions of real-time events from Event Hub collected from

devices, sensors, infrastructure, and applications

Performs time-sensitive analysis using SQL-like language against

multiple real-time streams and reference data

Outputs to persistent stores, dashboards or back to devices

Point of Service Devices

Self Checkout Stations

Kiosks

Smart Phones

Slates/ Tablets

PCs/ Laptops

Servers

Digital Signs

Diagnostic Equipment Remote Medical

Monitors Logic

Controllers

Specialized Devices Thin

Clients

Handhelds

Security

POS Terminals

Automation Devices

Vending Machines

Kinect

ATM

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EXAMPLE SOLUTIONS

Page 14: Big Data in Cloud: Seize your Insight Like a Golden Snitch (Margaret Ostapchuk Technology Stream)

How can I optimize the productivity of my field agents?

How can I predict the loads on my energy grids so I can balance?

How can I heat and cool my buildings based on usage and weather?

How can I fix equipment proactively before it fails?

How can I stock my trucks appropriately for the day and week?

What demographic is my most valuable?

What customer needs a salesperson to call on them?

What product(s) is this customer most likely to buy next?

What fraudulent behavior requires follow up?

Which payments need to go to a human collector to pursue?

What customers are likely to leave and why?

What online customers are most likely to visit the dealership?

Who are my most valuable customers and what are they likely to buy?

What marketing or sales motion leads to the most revenue?

Business problems we’re solving now

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Power BI dashboards and KPIs for

monitoring the health of your business

New data visualizations and touch-

optimized exploration in HTML5

Power BI mobile apps across devices

including iPad and iPhone

Support for new data sources including

SalesForce.com, Dynamics CRM online

and SQL Server Analysis Services

Dashboard

Tree Map

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ML Algorithms are best of breed and embrace OSS

• MS + R + Python + BYOA

ML Studio for productive development

• Faster experiments results in faster improvements

• Visual Workflows & ML Experiments

ML Operationalization to remove deployment friction

• Build entire ML Apps & Deploy as Cloud APIs

ML Gallery

• Provide ML applications like apps in an ‘app store’

• Publish/consume APIs in a 2 sided market

Help organizations eliminate undifferentiated heavy lifting

Powerful predictive analytics in Azure

Azure Machine Learning

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From zero to finished, analytical apps and scenarios

Pre-Configured

Allows customers to accelerates the process of building analytical apps

Go from zero to sample app in minutes, from sample app to finished solution in a week

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Learn More on the Main Page Microsoft.com/cortanaanalytics

Try CA services today Microsoft.com/cortanaanalytics

Links on “What’s Included” page

Find (or become) a trained partner cortanaanalyticspartners.microsoft.com

Stay tuned to our blog http://blogs.technet.com/b/machinelearning/

How do you get started? microsoft.com/cortanaanalytics

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