Welcome!

@CloudExpo Authors: Elizabeth White, Carmen Gonzalez, Pat Romanski, Liz McMillan, Harry Trott

Related Topics: Containers Expo Blog, Microservices Expo, Open Source Cloud, API Journal, Agile Computing, @CloudExpo

Containers Expo Blog: Article

CIOs' Top Priority: Analytics and BI

How to Deal with the Data Integration Bottleneck

Whether as a driver for growth, a means to attract and retain customers, or a way to drive innovation and reduce costs, the business value of analytics and business intelligence has never been higher.

Gartner's Amplifying the Enterprise: The 2012 CIO Agenda as well as IBM's Global CIO Study 2011 confirm this point, with analytics and BI setting atop CIO's technology priorities in both reports.

Data Integration Is the Biggest Bottleneck
Providing analytics and BI solutions with the data required has always been difficult, with data integration long considered the biggest bottleneck in any analytics or BI project.

Complex data landscapes, diverse data types, new sources such as big data and the cloud are but a few of the well-known barriers.

For the past two decades, the default solution has been to first consolidate the data into a data warehouse, and then provide users with tools to analyze and report on this consolidated data.

However, data integration based on these traditional replication and consolidation approaches have numerous moving parts that must be synchronized. Doing this right extends lead times.

The Data Warehousing Institute confirms this lack of agility. Their recent study stated the average time needed to add a new data source to an existing BI application was 8.4 weeks in 2009, 7.4 weeks in 2010, and 7.8 weeks in 2011. And 33% of the organizations needed more than 3 months to add a new data source.

Data Virtualization Brings Agility to Analytics and BI
According to Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility, data virtualization significantly accelerates data integration agility. Key to this success has been data virtualization's ability to provide:

  • A more streamlined data integration approach
  • A more iterative development process
  • A more adaptable change management process

Using data virtualization as a complement to existing data integration approaches, the ten organizations profiled in the book cut analytics and BI project times in half or more.

This agility allowed the same teams to double their number of analytics and BI projects, significantly accelerating business benefits.

For more insights on data virtualization and business agility, check out my earlier articles on this topic.

Simplify to Overcome Historical IT Complexity

Data virtualization's simplified information access and faster time-to-solution is especially useful as an enabler for  more agile analytics and BI

Is Data Virtualization the Fast Path to BI Agility? describes how the architectures of most business intelligence systems are based on a complex chain of data stores starting with production databases, data staging areas, a data warehouse, dependent data marts, and personal data stores.   Simply maintaining this complexity is overwhelming IT today.

These classic BI architectures served business well for the last twenty years. However, considering the need for more agility, they have some disadvantages:

  • Duplication of data
  • Non-shared meta data specifications
  • Limited flexibility
  • Decrease of data quality
  • Limited support for operational reporting:
  • Limited support for reporting on unstructured and external data"

From a different point of view, SOA World's Zettabytes of Data and Beyond describes the challenges of force-fitting development methods that were appropriate for earlier times when less data complexity was the norm.

In addition, the proliferation of fit-for-purpose data stores including data warehouse appliances, Hadoop-based file systems, and a range of No-SQL data stores are breaking the hegemony of the traditional data warehouse as the "best" solution to the enterprise-level data integration problem.   The business and IT impact of these new approaches can be explored in the Virtualization Magazine article NoSQL and Data Virtualization - Soon to Be Best Friends.

Self-Service Analytics and BI are Important Too!
Responding to constantly changing business demands for analytics and BI is a daunting effort.

Mergers and acquisitions and evolving supply chains require new comparisons and aggregations. The explosion of social media drives demand for new customer insights. Mobile computing changes form factors. And self-service BI puts users in the driver's seat.

Business Taking Charge of Analytics and BI

In true Darwinian fashion, the business side of most organizations is now taking greater responsibility for fulfilling its own information needs rather than depending solely on already-burdened IT resources.

For example, in a 2011 survey of over 625 business and IT professionals entitled Self-Service Business Intelligence: TDWI Best Practices Report, @TDWI July 2011,The Data Warehousing Institute (TDWI) identified the following top five factors driving businesses toward self-service business intelligence:

  • Constantly changing business needs (65%)
  • IT's inability to satisfy new requests in a timely manner (57%)
  • The need to be a more analytics-driven organization (54%)
  • Slow and untimely access to information (47%)
  • Business user dissatisfaction with IT-delivered BI capabilities (34%)

In the same survey report, authors Claudia Imhoff and Colin White suggest that IT's focus shifts toward making it easier for business users "to access the growing number of dispersed data sources that exist in most organizations."

Examples Imhoff and White cite include:

  • providing friendlier business views of source data
  • improving on-demand access to data across multiple data sources
  • enabling data discovery and search functions
  • supporting access to other types of data, such as unstructured documents; and more.

Data Virtualization to the Self-Service Rescue

In the TDWI survey, 60% of respondents rated business views of source data as "very important," and 44% said on-demand access to multiple data sources using data federation technologies was "very important."

According to Imhoff and White, "Data virtualization and associated data federation technologies enable BI/DW builders to build shared business views of multiple data sources so that the users do not have to be concerned about the physical location or structure of the data.

These views are sometimes known as virtual business views because, from an application perspective, the data appears to be consolidated in a single logical data store. In fact, it may be managed in multiple physical data structures on several different servers.

Data virtualization platforms such as the Composite Data Virtualization Platform support access to different types of data sources, including relational databases, non-relational systems, application package databases, flat files, Web data feeds, and Web services.

To Achieve Self-Service BI, Consider Using Data Virtualization provides additional insights on about how data virtualization enables self-service analytics and BI.

More Stories By Robert Eve

Robert Eve is the EVP of Marketing at Composite Software, the data virtualization gold standard and co-author of Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility. Bob's experience includes executive level roles at leading enterprise software companies such as Mercury Interactive, PeopleSoft, and Oracle. Bob holds a Masters of Science from the Massachusetts Institute of Technology and a Bachelor of Science from the University of California at Berkeley.

@CloudExpo Stories
More and more companies are looking to microservices as an architectural pattern for breaking apart applications into more manageable pieces so that agile teams can deliver new features quicker and more effectively. What this pattern has done more than anything to date is spark organizational transformations, setting the foundation for future application development. In practice, however, there are a number of considerations to make that go beyond simply “build, ship, and run,” which changes how...
WebRTC is the future of browser-to-browser communications, and continues to make inroads into the traditional, difficult, plug-in web communications world. The 6th WebRTC Summit continues our tradition of delivering the latest and greatest presentations within the world of WebRTC. Topics include voice calling, video chat, P2P file sharing, and use cases that have already leveraged the power and convenience of WebRTC.
Amazon has gradually rolled out parts of its IoT offerings, but these are just the tip of the iceberg. In addition to optimizing their backend AWS offerings, Amazon is laying the ground work to be a major force in IoT - especially in the connected home and office. In his session at @ThingsExpo, Chris Kocher, founder and managing director of Grey Heron, explained how Amazon is extending its reach to become a major force in IoT by building on its dominant cloud IoT platform, its Dash Button strat...
Let’s face it, embracing new storage technologies, capabilities and upgrading to new hardware often adds complexity and increases costs. In his session at 18th Cloud Expo, Seth Oxenhorn, Vice President of Business Development & Alliances at FalconStor, discussed how a truly heterogeneous software-defined storage approach can add value to legacy platforms and heterogeneous environments. The result reduces complexity, significantly lowers cost, and provides IT organizations with improved efficienc...
Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In his session at @ThingsExpo, Gordon Haff, Red Hat Technology Evangelist, will share examples from a wide range of industries – includin...
"We build IoT infrastructure products - when you have to integrate different devices, different systems and cloud you have to build an application to do that but we eliminate the need to build an application. Our products can integrate any device, any system, any cloud regardless of protocol," explained Peter Jung, Chief Product Officer at Pulzze Systems, in this SYS-CON.tv interview at @ThingsExpo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
When it comes to cloud computing, the ability to turn massive amounts of compute cores on and off on demand sounds attractive to IT staff, who need to manage peaks and valleys in user activity. With cloud bursting, the majority of the data can stay on premises while tapping into compute from public cloud providers, reducing risk and minimizing need to move large files. In his session at 18th Cloud Expo, Scott Jeschonek, Director of Product Management at Avere Systems, discussed the IT and busin...
Between 2005 and 2020, data volumes will grow by a factor of 300 – enough data to stack CDs from the earth to the moon 162 times. This has come to be known as the ‘big data’ phenomenon. Unfortunately, traditional approaches to handling, storing and analyzing data aren’t adequate at this scale: they’re too costly, slow and physically cumbersome to keep up. Fortunately, in response a new breed of technology has emerged that is cheaper, faster and more scalable. Yet, in meeting these new needs they...
The cloud promises new levels of agility and cost-savings for Big Data, data warehousing and analytics. But it’s challenging to understand all the options – from IaaS and PaaS to newer services like HaaS (Hadoop as a Service) and BDaaS (Big Data as a Service). In her session at @BigDataExpo at @ThingsExpo, Hannah Smalltree, a director at Cazena, provided an educational overview of emerging “as-a-service” options for Big Data in the cloud. This is critical background for IT and data professionals...
"Once customers get a year into their IoT deployments, they start to realize that they may have been shortsighted in the ways they built out their deployment and the key thing I see a lot of people looking at is - how can I take equipment data, pull it back in an IoT solution and show it in a dashboard," stated Dave McCarthy, Director of Products at Bsquare Corporation, in this SYS-CON.tv interview at @ThingsExpo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
@DevOpsSummit taking place June 6-8, 2017 at Javits Center, New York City, is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. @DevOpsSummit at Cloud Expo New York Call for Papers is now open.
In his session at 19th Cloud Expo, Claude Remillard, Principal Program Manager in Developer Division at Microsoft, contrasted how his team used config as code and immutable patterns for continuous delivery of microservices and apps to the cloud. He showed how the immutable patterns helps developers do away with most of the complexity of config as code-enabling scenarios such as rollback, zero downtime upgrades with far greater simplicity. He also demoed building immutable pipelines in the cloud ...
The cloud competition for database hosts is fierce. How do you evaluate a cloud provider for your database platform? In his session at 18th Cloud Expo, Chris Presley, a Solutions Architect at Pythian, gave users a checklist of considerations when choosing a provider. Chris Presley is a Solutions Architect at Pythian. He loves order – making him a premier Microsoft SQL Server expert. Not only has he programmed and administered SQL Server, but he has also shared his expertise and passion with b...
As data explodes in quantity, importance and from new sources, the need for managing and protecting data residing across physical, virtual, and cloud environments grow with it. Managing data includes protecting it, indexing and classifying it for true, long-term management, compliance and E-Discovery. Commvault can ensure this with a single pane of glass solution – whether in a private cloud, a Service Provider delivered public cloud or a hybrid cloud environment – across the heterogeneous enter...
"IoT is going to be a huge industry with a lot of value for end users, for industries, for consumers, for manufacturers. How can we use cloud to effectively manage IoT applications," stated Ian Khan, Innovation & Marketing Manager at Solgeniakhela, in this SYS-CON.tv interview at @ThingsExpo, held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like “How is my application doing” but no id...
@GonzalezCarmen has been ranked the Number One Influencer and @ThingsExpo has been named the Number One Brand in the “M2M 2016: Top 100 Influencers and Brands” by Onalytica. Onalytica analyzed tweets over the last 6 months mentioning the keywords M2M OR “Machine to Machine.” They then identified the top 100 most influential brands and individuals leading the discussion on Twitter.
In IT, we sometimes coin terms for things before we know exactly what they are and how they’ll be used. The resulting terms may capture a common set of aspirations and goals – as “cloud” did broadly for on-demand, self-service, and flexible computing. But such a term can also lump together diverse and even competing practices, technologies, and priorities to the point where important distinctions are glossed over and lost.
Predictive analytics tools monitor, report, and troubleshoot in order to make proactive decisions about the health, performance, and utilization of storage. Most enterprises combine cloud and on-premise storage, resulting in blended environments of physical, virtual, cloud, and other platforms, which justifies more sophisticated storage analytics. In his session at 18th Cloud Expo, Peter McCallum, Vice President of Datacenter Solutions at FalconStor, discussed using predictive analytics to mon...
All clouds are not equal. To succeed in a DevOps context, organizations should plan to develop/deploy apps across a choice of on-premise and public clouds simultaneously depending on the business needs. This is where the concept of the Lean Cloud comes in - resting on the idea that you often need to relocate your app modules over their life cycles for both innovation and operational efficiency in the cloud. In his session at @DevOpsSummit at19th Cloud Expo, Valentin (Val) Bercovici, CTO of Soli...