18

Little Steps to BIG Data

Embed Size (px)

DESCRIPTION

We hear a lot of buzz these days around "Big Data" and how it can transform the way we make business based decisions. But what actually is it? Where does it fit into your organization's strategy, and assuming it does, how do you actually USE it?

Citation preview

Page 1: Little Steps to BIG Data
Page 2: Little Steps to BIG Data

Who Is Aptera? • Microsoft Gold and Managed partner headquartered in Fort Wayne, Indiana

• Celebrating 10 years of service this year

• #1 Sitefinity Platinum partner in the world

• Over 70 talented employees specializing in: • Custom .NET applications • SharePoint (SDPS) • Business Intelligence (SSDPS) • Mobile • Cloud Services • Website development and design • BizTalk • Project Management

Page 3: Little Steps to BIG Data

Who Is Aptera?

• WC3 Awards winners

• Communicator Award winners

• One of Indiana’s 50 Companies to Watch

• Business Week’s Top 100 Inner City Companies

• Great atmosphere

• Great leadership

• Great opportunities to grow

Page 4: Little Steps to BIG Data

Who Is Aptera?

•We are hiring! • For what? See previous slide!

Page 5: Little Steps to BIG Data
Page 6: Little Steps to BIG Data

- Top Customer Workloads and Scenarios

Saved VM State

Extended Primary Additional primary data

stored in Azure

Cloud Snapshots Copy of full data and

incremental snapshots

Snapshot

Primary Volume

Servers

StorSimple Cloud-Integrated Storage (CIS)

Windows Azure LOB Application

Page 7: Little Steps to BIG Data

Big Data… Huh? What is Big Data?

• The term “Big Data” is only somewhat appropriate… why? • Not necessarily “big”

• Unstructured… what does that mean?

• Used to structured data

• Tables

• Rows

• Columns

• Typed Data

Page 8: Little Steps to BIG Data

Big Data… Huh?

What is Big Data?

• No clearly defined relationships

• Usually “chunks” of text, but within the text can be dates, numbers, etc

• Potential implied structure • Think “Mash-Ups”

Page 9: Little Steps to BIG Data

Big Data… Huh? The 3 V’s of Big Data

• Velocity • The speed at which data is created, stored, analyzed, and visualized

• Every minute • 100 hours of video uploaded to YouTube

• 200 million emails are sent

• 20 million photos are viewed on Flickr

• 300,000 tweets are sent

• 2.5 million queries on Google are performed.

• Many organizations must cope with large amounts of real time data

Page 10: Little Steps to BIG Data

Big Data… Huh?

The 3 V’s of Big Data

• Variety

• Structured, semi-structured, unstructured

• Multiple or No set data types

• Good bye standardized rows and columns

• Hello mash-ups from amorphic “globs” of data

Page 11: Little Steps to BIG Data

Big Data… Huh?

The 3 V’s of Big Data

• Volume

• “90% of all data created in last 2 years” - Mark Van Rijmenam

• Amount of data will double every couple of years

Page 12: Little Steps to BIG Data

How can Big Data help my organization?

Use Case!

• Get to know your customers • … all of them

• … right now

Page 13: Little Steps to BIG Data

How can Big Data help my organization?

Use Case!

• Personal Personalization • Manage customer facing content based on

information specific to them.

Page 14: Little Steps to BIG Data

How can Big Data help my organization?

Use Case!

• Find new markets • Identify opportunities • Identify risks

Page 15: Little Steps to BIG Data

How can Big Data help my organization?

Challenges • Business Alignment

• “Cool” Projects Fail

• Because it’s cool is not the best reason to engage in a big data project

• Lack of Access • If you can’t get to the right data sets, or they don’t exist, you won’t get far

• Small Knowledge Base • Very new approaches

• Very new technologies

• Low level development

Page 16: Little Steps to BIG Data

HDInsight

What is HDInsight • Hadoop

• HDFS

• Map/Reduce … ummmm what?

• HIVE

• HIVEQL

Page 17: Little Steps to BIG Data

HDInsight

What Is Power BI • Power Query (Data Explorer)

• Power Pivot

• Power Map (GeoFlow)

• Power View

• Power BI Sites

• Natural Language Query Q&A

• Power BI Mobile Apps

Page 18: Little Steps to BIG Data

HDInsight

Little steps…