Welcome!

@CloudExpo Authors: AppNeta Blog, Dan Potter, Pat Romanski, William Schmarzo, Elizabeth White

Related Topics: @BigDataExpo, Microservices Expo, Containers Expo Blog, @CloudExpo, Government Cloud, SDN Journal

@BigDataExpo: Blog Post

Public Sector Big Data: Five Ways Big Data Must Evolve in 2013

2012 will go down as a “Big” year for Big Data in the public sector

By

Editor’s note: This guest post provides context on mission focused data analytics in the federal space by one of the leaders of the federal big data movement, Ray Muslimani. -bg

2012 will go down as a “Big” year for Big Data in the public sector. Rhetoric and hype has been followed by tangible action on the part of both government and industry. The $200 million Big Data initiative unveiled by the White House in March 2012 was an injection of R&D and credibility towards efforts to develop tools and technologies to help solve the nation’s most pressing challenges.

On the industry side, the recently issued TechAmerica report, “Demystifying Big Data,” provides agencies with a roadmap for using Big Data to better serve citizens. It also offers a set of policy recommendations and practical steps agencies can take to get started with Big Data initiatives.

For all of the enthusiasm around Big Data this year, every indication is that 2013 will be the year when Big Data transforms the business of government. Below are 5 steps that need to be taken in order for Big Data to evolve in 2013 and deliver on its promise.

Demystify Big Data
Government agencies warmed to the potential of Big Data throughout 2012, but more education is required to help decision makers wade through their options and how further investments can be justified. Removing the ambiguitiessurrounding Big Data requires an emphasis in 2013 on education from both industry and government.

The TechAmerica Big Data report is a good example of how industry can play an active role in guiding agencies through Big Data initiatives. It also underscores that vendors can’t generate more Big Data RFPs through marketing slicks and sales tactics alone. This approach will not demystify Big Data – it will simply seed further doubt if providers of Big Data tools and solutions focus only on poking holes in competitor alternatives.

Industry and government should follow proven templates for education in 2013. For example, agencies can arrange “Big Data Days” in a similar format as Industry Tech Days occur today. Big Data industry days can help IT providers gain better insight into how each Agency plans to approach their Big Data challenges in 2013 and offer these agencies an opportunity to see a wide range of Big Data services.

The Big Data education process must also extend to contracting officers. Agencies need guidance on how RFPs can be constructed to address a service-based model.

Consumerize Big Data
While those within the public sector with the proper training and skills to analyze data have benefited from advanced Big Data tools, it has been far more difficult for everyday business users and decision makers to access the data in a useful way. Sluggish data query responses, data quality issues, and a clunky user experience is undermining the benefits Big Data Analytics can deliver and requiring users to be de facto “data scientists” to make sense of it all.

Supporting this challenge is a 2012 MeriTalk survey, “The Big Data Gap,” that finds just 60 percent of IT professionals indicate their agency is analyzing the data it collects and a modest 40 percent are using data to make strategic decisions. All of this despite the fact that 96 percent of those surveyed expects their agency’s stored data to grow in the next two years by an average of 64 percent.  The gap here suggests a struggle for non “data scientists” to convert data into business decisions. 

What if any government user could ask a question in natural language and receive the answer in a relevant visualization?  For Big Data to evolve in 2013 we must consumerize the user experience by removing spreadsheets and reports, and place the power of analytics in the hands of users of any level without analytics expertise.

Mobilize Big Data
IDC Government Insights predicts that in 2013, 35 percent of new Federal and state applications will be mobile. At the same time, 65 percent of Federal IT executives expect mobile device use to increase by 20 percent in 2013, according to The 2012-2013 Telework/Mobile IT Almanac.

Part of consumerizing Big Data means building it for any device so that users do not need to be tethered to their desktops to analyze data. Agency decision makers must be empowered to easily view and analyze data on tablets and smartphones, while the increase of teleworking in the public sector requires Big Data to be accessible from anywhere, at any time, and on any device.

There is promising innovation at work by both established Federal IT providers and upstarts in taking a mobile-first path to Big Data, rather than the traditional approach of building BI dashboards for the desktop. The degree to which 2013 sees a shift in Big Data from the desktop to tablets and smartphones will depend on how forcefully solutions providers employ a mobile-first approach to Big Data.

Act on Big Data
A tremendous amount of “thought” energy went into Big Data in 2012. For Big Data to evolve in a meaningful way in 2013, initiatives and studies must generate more action in the form of Big Data RFIs and RFPs.

Within the tight budget climate, agencies will not act on Big Data if vendor proposals require massive investments in IT infrastructure and staffing. There must be a shift –to the extent possible – of the financial and resource burden from agency to vendor. For example, some vendors have developed “Big Data Clouds” that allow agencies to leverage a secure, scalable framework for storing and managing data, along with a toolset for performing consumer-grade search and analysis on that data.

Open Big Data
Adoption of Big Data solutions has been accelerated by open source tools such as Hadoop, MapReduce, Hive, and HBase. While some agencies will find it tempting to withdraw to the comfort of proprietary Big Data tools that they can control in closed systems, that path undermines the value Big Data can ultimately deliver.

One could argue that as open source goes in 2013, Big Data goes as well. If open source platforms and tools continue to address agency demands for security, scalability, and flexibility, benefits within from Big Data within and across agencies will increase exponentially. There are hundreds of thousands of viable open source technologies on the market today. Not all are suitable for agency requirements, but as agencies update and expand their uses of data, these tools offer limitless opportunities to innovate. Additionally, opting for open source instead of proprietary vendor solutions prevents an agency from being locked into a single vendor’s tool that it may at some point outgrow or find ill suited for their needs.

Read the original blog entry...

More Stories By Bob Gourley

Bob Gourley writes on enterprise IT. He is a founder and partner at Cognitio Corp and publsher of CTOvision.com

@CloudExpo Stories
Extreme Computing is the ability to leverage highly performant infrastructure and software to accelerate Big Data, machine learning, HPC, and Enterprise applications. High IOPS Storage, low-latency networks, in-memory databases, GPUs and other parallel accelerators are being used to achieve faster results and help businesses make better decisions. In his session at 18th Cloud Expo, Michael O'Neill, Strategic Business Development at NVIDIA, focused on some of the unique ways extreme computing is...
"We view the cloud not really as a specific technology but as a way of doing business and that way of doing business is transforming the way software, infrastructure and services are being delivered to business," explained Matthew Rosen, CEO and Director at Fusion, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Redis is not only the fastest database, but it is the most popular among the new wave of databases running in containers. Redis speeds up just about every data interaction between your users or operational systems. In his session at 19th Cloud Expo, Dave Nielsen, Developer Advocate, Redis Labs, will share the functions and data structures used to solve everyday use cases that are driving Redis' popularity.
Aspose.Total for .NET is the most complete package of all file format APIs for .NET as offered by Aspose. It empowers developers to create, edit, render, print and convert between a wide range of popular document formats within any .NET, C#, ASP.NET and VB.NET applications. Aspose compiles all .NET APIs on a daily basis to ensure that it contains the most up to date versions of each of Aspose .NET APIs. If a new .NET API or a new version of existing APIs is released during the subscription peri...
Organizations planning enterprise data center consolidation and modernization projects are faced with a challenging, costly reality. Requirements to deploy modern, cloud-native applications simultaneously with traditional client/server applications are almost impossible to achieve with hardware-centric enterprise infrastructure. Compute and network infrastructure are fast moving down a software-defined path, but storage has been a laggard. Until now.
"My role is working with customers, helping them go through this digital transformation. I spend a lot of time talking to banks, big industries, manufacturers working through how they are integrating and transforming their IT platforms and moving them forward," explained William Morrish, General Manager Product Sales at Interoute, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
To leverage Continuous Delivery, enterprises must consider impacts that span functional silos, as well as applications that touch older, slower moving components. Managing the many dependencies can cause slowdowns. See how to achieve continuous delivery in the enterprise.
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
SYS-CON Events announced today the Kubernetes and Google Container Engine Workshop, being held November 3, 2016, in conjunction with @DevOpsSummit at 19th Cloud Expo at the Santa Clara Convention Center in Santa Clara, CA. This workshop led by Sebastian Scheele introduces participants to Kubernetes and Google Container Engine (GKE). Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn the key concepts and practices for deploying and maintainin...
Security, data privacy, reliability, and regulatory compliance are critical factors when evaluating whether to move business applications from in-house, client-hosted environments to a cloud platform. Quality assurance plays a vital role in ensuring that the appropriate level of risk assessment, verification, and validation takes place to ensure business continuity during the migration to a new cloud platform.
Extracting business value from Internet of Things (IoT) data doesn’t happen overnight. There are several requirements that must be satisfied, including IoT device enablement, data analysis, real-time detection of complex events and automated orchestration of actions. Unfortunately, too many companies fall short in achieving their business goals by implementing incomplete solutions or not focusing on tangible use cases. In his general session at @ThingsExpo, Dave McCarthy, Director of Products...
Security, data privacy, reliability and regulatory compliance are critical factors when evaluating whether to move business applications from in-house client hosted environments to a cloud platform. In her session at 18th Cloud Expo, Vandana Viswanathan, Associate Director at Cognizant, In this session, will provide an orientation to the five stages required to implement a cloud hosted solution validation strategy.
UpGuard has become a member of the Center for Internet Security (CIS), and will continue to help businesses expand visibility into their cyber risk by providing hardening benchmarks to all customers. By incorporating these benchmarks, UpGuard's CSTAR solution builds on its lead in providing the most complete assessment of both internal and external cyber risk. CIS benchmarks are a widely accepted set of hardening guidelines that have been publicly available for years. Numerous solutions exist t...
Up until last year, enterprises that were looking into cloud services usually undertook a long-term pilot with one of the large cloud providers, running test and dev workloads in the cloud. With cloud’s transition to mainstream adoption in 2015, and with enterprises migrating more and more workloads into the cloud and in between public and private environments, the single-provider approach must be revisited. In his session at 18th Cloud Expo, Yoav Mor, multi-cloud solution evangelist at Cloudy...
Verizon Communications Inc. (NYSE, Nasdaq: VZ) and Yahoo! Inc. (Nasdaq: YHOO) have entered into a definitive agreement under which Verizon will acquire Yahoo's operating business for approximately $4.83 billion in cash, subject to customary closing adjustments. Yahoo informs, connects and entertains a global audience of more than 1 billion monthly active users** -- including 600 million monthly active mobile users*** through its search, communications and digital content products. Yahoo also co...
A critical component of any IoT project is what to do with all the data being generated. This data needs to be captured, processed, structured, and stored in a way to facilitate different kinds of queries. Traditional data warehouse and analytical systems are mature technologies that can be used to handle certain kinds of queries, but they are not always well suited to many problems, particularly when there is a need for real-time insights.
"Software-defined storage is a big problem in this industry because so many people have different definitions as they see fit to use it," stated Peter McCallum, VP of Datacenter Solutions at FalconStor Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Amazon has gradually rolled out parts of its IoT offerings in the last year, but these are just the tip of the iceberg. In addition to optimizing their back-end AWS offerings, Amazon is laying the ground work to be a major force in IoT – especially in the connected home and office. Amazon is extending its reach by building on its dominant Cloud IoT platform, its Dash Button strategy, recently announced Replenishment Services, the Echo/Alexa voice recognition control platform, the 6-7 strategic...
The best-practices for building IoT applications with Go Code that attendees can use to build their own IoT applications. In his session at @ThingsExpo, Indraneel Mitra, Senior Solutions Architect & Technology Evangelist at Cognizant, provided valuable information and resources for both novice and experienced developers on how to get started with IoT and Golang in a day. He also provided information on how to use Intel Arduino Kit, Go Robotics API and AWS IoT stack to build an application tha...
IoT generates lots of temporal data. But how do you unlock its value? You need to discover patterns that are repeatable in vast quantities of data, understand their meaning, and implement scalable monitoring across multiple data streams in order to monetize the discoveries and insights. Motif discovery and deep learning platforms are emerging to visualize sensor data, to search for patterns and to build application that can monitor real time streams efficiently. In his session at @ThingsExpo, ...