Welcome!

SDN Journal Authors: TJ Randall, Yeshim Deniz, Liz McMillan, Elizabeth White, Pat Romanski

Related Topics: @DXWorldExpo, Microservices Expo, Agile Computing, @CloudExpo, Apache, SDN Journal

@DXWorldExpo: Article

IDC: Big Data Market to Reach $16.1B in 2014

Fifty-percent compound annual growth rate also in forecast

Research firm IDC has predicted that the big data and analytics market will hit $16.1 billion in 2014 at a rate faster than the overall market growth for information technology, Forbes reported Thursday.

Gil Press writes infrastructure will account for 45 percent of the market, services 29 percent and software tools 24 percent and that a separate forecast from the International Institute of Analytics says companies will embed analytics into business processes.

The IDC projected cloud infrastructure to achieve a compound annual growth rate of 50 percent from 2013 through 2017, according to the report.

Both the IDC and IIA forecast the big data professional services market to reach more than $4.5 billion in 2014 and that the number of firms providing those services will increase three times over the next three years, the report says.

Another IDC prediction says venture capital investments will focus on big data software such as information management, analytics and discovery and applications.

Press writes security infrastructure will also represent a significant portion of the big data market as companies are using information to counter threats.

Sensor, mobile devices, wearable technology and connected devices will also drive the big data market, Forbes reports.

More Stories By Tim Watson

Tim Watson supervises all media production at Executive Mosaic, a digital media company that provides insight, information and analysis on several industries, including government contracting.

He previously produced byline coverage with the economics team at USA Today and evaluated lending proposals for the Overseas Private Investment Corporation.

Tim was born and raised in Washington, DC and holds a bachelor’s degree in Business-Journalism from Washington and Lee University and a certificate in budgeting and finance from Georgetown University's School of Continuing Professional Education.

CloudEXPO Stories
Using serverless computing has a number of obvious benefits over traditional application infrastructure - you pay only for what you use, scale up or down immediately to match supply with demand, and avoid operating any server infrastructure at all. However, implementing maintainable and scalable applications using serverless computing services like AWS Lambda poses a number of challenges. The absence of long-lived, user-managed servers means that states cannot be maintained by the service. Longer function invocation times (referred to as cold starts) become very important to track, because they impact the response time of the service and will impose additional cost. Additionally, the transition to smaller individual components (much like breaking a monolithic application into microservices) results in a simpler deployment model, but makes the system as a whole increasingly complex.
Here to help unpack insights into the new era of using containers to gain ease with multi-cloud deployments are our panelists: Matt Baldwin, Founder and CEO at StackPointCloud, based in Seattle; Nic Jackson, Developer Advocate at HashiCorp, based in San Francisco, and Reynold Harbin, Director of Product Marketing at DigitalOcean, based in New York. The discussion is moderated by Dana Gardner, principal analyst at Interarbor Solutions.
Using serverless computing has a number of obvious benefits over traditional application infrastructure - you pay only for what you use, scale up or down immediately to match supply with demand, and avoid operating any server infrastructure at all. However, implementing maintainable and scalable applications using serverless computing services like AWS Lambda poses a number of challenges. The absence of long-lived, user-managed servers means that states cannot be maintained by the service. Longer function invocation times (referred to as cold starts) become very important to track, because they impact the response time of the service and will impose additional cost. Additionally, the transition to smaller individual components (much like breaking a monolithic application into microservices) results in a simpler deployment model, but makes the system as a whole increasingly complex.
With the rise of Docker, Kubernetes, and other container technologies, the growth of microservices has skyrocketed among dev teams looking to innovate on a faster release cycle. This has enabled teams to finally realize their DevOps goals to ship and iterate quickly in a continuous delivery model. Why containers are growing in popularity is no surprise — they’re extremely easy to spin up or down, but come with an unforeseen issue. However, without the right foresight, DevOps and IT teams may lose a lot of visibility into these containers resulting in operational blind spots and even more haystacks to find the presumptive performance issue needle.
Isomorphic Software is the global leader in high-end, web-based business applications. We develop, market, and support the SmartClient & Smart GWT HTML5/Ajax platform, combining the productivity and performance of traditional desktop software with the simplicity and reach of the open web. With staff in 10 timezones, Isomorphic provides a global network of services related to our technology, with offerings ranging from turnkey application development to SLA-backed enterprise support. Leading global enterprises use Isomorphic technology to reduce costs and improve productivity, developing & deploying sophisticated business applications with unprecedented ease and simplicity.