Webinar: Attaining Excellence in Big Data Integration

Attaining Excellence in Big Data Integration

Attaining Excellence in��Big Data IntegrationWebinar

Agenda

Mark Smith

CEO & ��Chief Research Officer

Darren Cunningham

VP Marketing, SnapLogic

•  Big Data Drivers and Challenges

•  Re-Thinking Big Data Integration

•  SnapLogic Big Data Integration

•  Next Steps

Poll Question #1 Results

Do you have an active big data project in your organization?

A.  Yes…………………………....47%

B.  No, but plan to in 2015……...20%

C.  No, just researching……….....33%

Big Data Priorities and Drivers Analytics and Integration are thetop two big data technologiescompanies will be investing in.

said customer analytics wasthe main driver for investingin big data solutions.

+

The Skills Gap is an ROI Barrier What are your primary barriers to delivering a return on your big data investments

so far?

+

Still a Great Deal of Uncertainty

don’t know whichdistribution to use.

don’t know whichHadoop tools to use.78% 81%

Hadoop Distribution Hadoop Tools

+

Poll Question #2 How do you plan to (or currently) get data into and out of Hadoop?

A)  Point-to-point open source tools and/or custom code………………………..20%

B)  Our legacy integration tools….......….7%

C)  New integration tools……………...13%

D)  Don't know yet…………………….60%

© 2015 Ventana Research 8 © 2015 Ventana Research

Attaining Excellence in Big Data Integration

Mark Smith

CEO & Chief Research Officer Ventana Research

March 4, 2015

© 2015 Ventana Research 9 © 2015 Ventana Research 9 © 2015 Ventana Research 9

Big Data Requires New Thinking

© 2015 Ventana Research 10 © 2015 Ventana Research 10

Challenge of Effective Big Data Integration

Inefficient Processes • Use data-based business insights to improve competitiveness.

• Our research finds that more than half (55%) of organizations are only somewhat confident or not at all confident in their ability to process large volumes of data.

• Even more (58%) doubt their ability to process data that arrives at high velocity.

Source: Ventana Research Big Data Integration Benchmark Research


Increase Agility • Organizations waste significant amounts of time on data integration-related tasks.

• More than one-third (37%) of organizations need data hourly or daily, and another one in four need it available in real time.

• Integration capabilities need to be flexible enough to deliver cycles of processing to satisfy an array of different needs.

Evaluate Efficiency of Processes Best Practice #1



Assess Environment • Only one-third of organizations are satisfied with their current technology.

• More than half of organizations said their current infrastructure is not fast enough or flexible enough; almost half said the technology is simply inadequate.

• About half of organizations turn to their existing database or data integration vendor.

Examine New Approaches Best Practice #2



Dedicated Approach • Our research shows that what matters most in selecting big data integration technology are its usability and reliability.

• The top three factors driving big data integration are: - business improvement (by 54%) - analytics and BI initiatives (46%) - improvement in the quality of business processes (40%).

Evaluate Technology Needs Best Practice #3



Focus on Purpose • Our research shows that using dedicated data integration improves integration processes.

• However, currently only 12 percent of organizations use dedicated technology for this purpose.

• Our research shows that high numbers of organizations use or plan soon to use Hadoop (48%) and other NoSQL approaches (38%).

Investigate Dedicated Technology Best Practice #4



Best Practice #5

Gain Value from Data • More than half of organizations (56%) that use big data integration technology said they have improved their activities and processes by using it.

• But your acquisition and deployment should address your organization’s needs, so pinpoint the areas of business in which investment can help.

Gain Benefits that Outweigh Costs



Access Data Anywhere • Our research finds more than quarter of organizations have deployed big data integration software in the cloud.

• One-third (35%) of organizations are integrating cloud-based systems with those on-premises.

• Nearly two-thirds (64%) have cloud-based business applications - an important data source for big data.

Cloud Playing an Increasing Role


© 2015 Ventana Research 17 © 2015 Ventana Research 17 © 2015 Ventana Research 17 © 2015 Ventana Research

Big Data Requires Integration


1.  Evaluate Efficiency of Integration Processes 2.  Examine New Approaches to Big Data Integration 3.  Evaluate Technology in Terms of Need 4.  Investigate Dedicated Technology 5.  Gain Benefits that Outweigh the Costs

© 2015 Ventana Research

Best Practices in Big Data Integration

© 2015 Ventana Research 19 © 2015 Ventana Research 19

Mark Smith – Contact Information

Twitter @marksmithvr LinkedIn http://www.linkedin.com/in/markallensmith Analyst Perspectives http://marksmith.ventanaresearch.com Community and Web Site http://www.ventanaresearch.com

SnapLogic Elastic Integration: Ingest, Prepare, Deliver

Big Data Integration in a Snap

@SnapLogic

Facebook.com/SnapLogic Plus.google.com/+SnapLogic

Learn more at !www.SnapLogic.com !!

https://twitter.com/snaplogic

https://www.facebook.com/SnapLogic

https://plus.google.com/+Snaplogic/posts

https://plus.google.com/+Snaplogic/posts

Webinar: Attaining Excellence in Big Data Integration

Technology

Transcript of Webinar: Attaining Excellence in Big Data Integration