http://newvantage.com/wp-content/uploads/2017/01/Big-Data-Executive-Survey-2017-Executive-Summary.pdfhttp://newvantage.com/wp-content/uploads/2017/01/Big-Data-Executive-Survey-2017-Executive-Summary.pdf

https://www.gartner.com/newsroom/id/3130017https://www.gartner.com/newsroom/id/3130017

https://www.seagate.com/files/www-content/our-story/trends/files/Seagate-WP-DataAge2025-March-2017.pdf

https://www.bmc.com/forms/delivering-scalable-reliable-big-data-solutions-white-paper.htmlhttps://www.bmc.com/forms/delivering-scalable-reliable-big-data-solutions-white-paper.htmlhttps://www.bmc.com/forms/delivering-scalable-reliable-big-data-solutions-white-paper.html

https://www.bmc.com/forms/delivering-scalable-reliable-big-data-solutions-white-paper.htmlhttps://www.bmc.com/forms/ESM_ContactCenter_ContactRequest_BMCcom_EN_Jan2014.htmlhttps://www.bmc.com/forms/ESM_ContactCenter_ContactRequest_BMCcom_EN_Jan2014.html

of executives have seen measurable benefits from Big Data initiatives.1

48%

T H E K E Y S T OBIG DATA SUCCESSAUTOMATION AND ORCHESTRATION

B I G D ATA I S C H A N G I N Gthe Business Landscape

Big Data is complicated. Companies engaging in Big Data and IoT projects are finding they need intelligent automation that works seamlessly across many disparate data sources and in multi-cloud environments.

21%have declared Big Data to be disruptive or transformational.2

163 ZETTABYTES of data will be created in the world by 2025.3

DATA IS INCREASING ATExponential Rates

And i t needs to be ingested from increasing numbers of sources .

01

1

0 1 0 00011

101000111

01

0

1 1 0 1 00001

110100011

10

10

0 0 1 1 10000

011100110

01

1

1 0 1 0 00101

111001011

11

01

1

1 0 1 110111

0111011

10

11

1

0 0 1 011100

11000100

11

01

1

0 1 0 1 10001

100101110

01

1

0 0 0 1 10110

111101101

10

10

0 1 0 1 11101

100110011

01

11 1 0 1 1100

10

011011010

11

1

0 0 1 1 00101

111011001

00

0

1 1 0 0 10101

101100011

01

00

1 0 1 1 10110

011001010

11

1

0 0 1 0 01101

001011011

10

01

1

0 0 1 11001

01101011

10

01

1 0 1 1 000110

11000010

11

00

0

0 1 0 1 101

00

00111010

00

1 1 1 0 1 0001

11

00000111

00

1

1 0 0 1 1101

00010111

10

01

0 1 1 1 1011

10

11101110

11

1

0 1 1 1 0111

00101110

01

10

0 0 1 0 0110

11

01011000

11

0

0 1 0 1 1100

11000110

11

01

1 1 1 0 1101

10

10010111

10

1

1 0 0 1 1001

10

111101

11

00

1 0 0 1 1011

01

0111001

10

01

0 1 1 1 1 011

00

10001100

10

1 0 1 1 0 110

00

1101001

01

11

0

1 1 0 0 110

01

01011100

10

0 1 1 0 1 0010

11

01110011

00

1

1 1 0 0 1011

01011100

11

01

1 0 0 0 1101

10

00010110

11

0

0 1

0 1 101

00

00111010

00

1 1 1 0 1 0001

11

00000111

00

1

1 0 0 1 1101

00010111

10

01

0 1 1 1 1011

10

11101110

11

1

0 1 1 1 0111

00101110

01

10

0 0 1 0 0110

11

01011000

11

0

0 1 0 1 1100

11000110

11

01

1 1 1 0 1101

10

10010111

10

1

1 0 0 1 1001

10

111101

11

00

1 0 0 1 1011

01

0111001

10

01

0 1 1 1 1 011

00

10001100

10

1 0 1 1 0 110

00

1101001

01

11

0

1 1 0 0 110

01

01011100

10

0 1 1 0 1 0010

11

01110011

00

1

1 1 0 0 1011

01011100

11

01

1 0 0 0 1101

10

00010110

11

0

0 1 0 1 101

00

00111010

00

1 1 1 0 1 0001

11

00000111

00

1

1 0 0 1 1101

00010111

10

01

0 1 1 1 1011

10

11101110

11

1

0 1 1 1 0111

00101110

01

10

0 0 1 0 0110

11

01011000

11

0

0 1 0 1 1100

11000110

11

01

1 1 1 0 1101

10

10010111

10

1

1 0 0 1 1001

10

111101

11

00

1 0 0 1 1011

01

0111001

10

01

0 1 1 1 1 011

00

10001100

10

1 0 1 1 0 110

00

1101001

01

11

0

1 1 0 0 110

01

01011100

10

0 1 1 0 1 0010

11

01110011

00

1

1 1 0 0 1011

01011100

11

01

1 0 0 0 1101

10

00010110

11

0

0 1 0 1 101

00

00111010

00

1 1 1 0 1 0001

11

00000111

00

1

1 0 0 1 1101

00010111

10

01

0 1 1 1 1011

10

11101110

11

1

0 1 1 1 0111

00101110

01

10

0 0 1 0 0110

11

01011000

11

0

0 1 0 1 1100

11000110

11

01

1 1 1 0 1101

10

10010111

10

1

1 0 0 1 1001

10

111101

11

00

1 0 0 1 1011

01

0111001

10

01

0 1 1 1 1 011

00

10001100

10

1 0 1 1 0 110

00

1101001

01

11

0

1 1 0 0 110

01

01011100

10

0 1 1 0 1 0010

11

01110011

00

1

1 1 0 0 1011

01011100

11

01

1 0 0 0 1101

10

00010110

11

0

0 1

0 1 101

00

00111010

00

1 1 1 0 1 0001

11

00000111

00

1

1 0 0 1 1101

00010111

10

01

0 1 1 1 1011

10

11101110

11

1

0 1 1 1 0111

00101110

01

10

0 0 1 0 0110

11

01011000

11

0

0 1 0 1 1100

11000110

11

01

1 1 1 0 1101

10

10010111

10

1

1 0 0 1 1001

10

111101

11

00

1 0 0 1 1011

01

0111001

10

01

0 1 1 1 1 011

00

10001100

10

1 0 1 1 0 110

00

1101001

01

11

0

1 1 0 0 110

01

01011100

10

0 1 1 0 1 0010

11

01110011

00

1

1 1 0 0 1011

01011100

11

01

1 0 0 0 1101

10

00010110

00

0

0 1

Big Data initiatives are difficult to see through to fruition due to their complexity.

Low-grade point solutions, scripts and open-source solutions aren’t sufficient for the complexity and volume of today’s data.

THE PROBLEM:Why Big Data Projects May Fail

THE SOLUTION:Automate Your Data

Journey with Control-M

60%of Big Data projects fizzle out after piloting and experimentation.4

40%faster development

and deployment of your workflows.5

25%reduction

of production incidents.6

Control-Mcan

Ingest data automatically from multiple sources, such as databases, applications and social media.

Schedule data ingestion automatically so it happens at the right time.

Process the ingested data with native support of Hadoop, Spark and NoSQL.

Orchestrate the movement of processed data to an analytics layer, so business users can analyze data with dashboards and BI tools.

Automate and orchestrateSUCCESSFUL BIG DATA PROJECTS

with Control-M.

To learn more, download “Why Automation Is Critical to Delivering Scalable and Reliable Big Data Solutions,” or contact BMC sales today.

1 NewVantage Partners. Big Data Executive Survey 2017 2 Ibid.3 IDC, Data Age 2025: The Evolution of Data to Life-Critical, April 20174 Gartner, press release, "Gartner Says Business Intelligence and Analytics Leaders Must Focus on Mindsets and Culture to Kick Start Advanced Analytics," September 15, 20155 Impetus independent analysis6 Ibid.