Welcome!

@DXWorldExpo Authors: Yeshim Deniz, Pat Romanski, Liz McMillan, Zakia Bouachraoui, Carmen Gonzalez

Related Topics: @DXWorldExpo, Java IoT, @ThingsExpo

@DXWorldExpo: Blog Post

CIOs Must Beware Big Data Blindness By @ABridgwater | @BigDataExpo #BigData

Big Data is an oft mentioned and sometimes misunderstood subject

It's not hard to find technology trade press commentary on the subject of Big Data.

Variously defined (in non-technical terms) as the cluttered old shoebox of all data - and again (in more technical terms) as that amount of data that does not comfortably fit into a standard relational database for storage, processing and analytics within the normal constraints of processing, memory and data transport technologies - we can say that Big Data is an oft mentioned and sometimes misunderstood subject.

Three key Big Data control factors
Good advice for CIOs faced with this new planet of data types driven by everything from ecommerce to the Internet of Things (IoT) is to look for technologies that provide three key controlling factors and functions:

  • Management
  • Automation
  • Enhancement

Without management, automation and enhancement controls, Big Data starts to feel like blinding sun glare with no hint or promise of shade.

What CIOs need to move toward is a point where a more ‘governed' approach to Big Data ingestion starts to become possible. We need to know how trusted any particular data stream is before we combine it into our analysis engine - and that truth holds whether we are talking about structured, unstructured or semi-structured data (or a combination of all three).

We also need to be able to exert some sort of time-based intelligence upon our Big Data, especially as we start to move into the realm of real time databases and event processing. Then we need to know how trusted that data is too.

This is our third (above) bullet if you will, i.e., Big Data ‘enhancement' through additional intelligence. Almost like traditional metadata being defined as "information about the information," this is enhanced information about the Big Data information.

The Big Data selection pack
What we have to now realize is that Big Data comes in more than one shape across a spectrum of data architectures.

  • Data warehouses (in the traditional sense) - and these are good at holding onto prepared, structured data
  • Data lakes (a bigger broader consideration) which essentially sit at the other end of the spectrum to data warehouses - data lakes are good at acting as a repository for raw, unprocessed native data, i.e., this is the ‘big' in Big Data, the stuff we don't always know what to do with yet.
  • Data refineries (you might see other names for these, such as data factories or data processing plants) - this is the place where we look to transform raw data and incorporate data sources that are too varied or fast-moving to house in the data lake.

Getting to the point where we can create the new ‘blend' of Big Data from these now differentiated sources is where the modern CIO next focuses his or her efforts. Getting to the point where you can amalgamate and virtualize datasets on the fly as you also get additional insight by knowing the data lineage details of each chunk of data is an even better place to be.

There are no prescription sunglasses for Big Data blindness, but there is an awful lot of dazzle and distraction around - if in doubt, wear a hat, but keep your eyes wide open for a new rainbow of data definitions.

This post is sponsored by KPMG LLP and The CIO Agenda.

KPMG LLP is a Delaware limited liability partnership and is the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative ("KPMG International"), a Swiss entity. The KPMG name, logo and "cutting through complexity" are registered trademarks or trademarks of KPMG International. The views and opinions expressed herein are those of the authors and do not necessarily represent the views and opinions of KPMG LLP.

More Stories By Adrian Bridgwater

Adrian Bridgwater is a freelance journalist and corporate content creation specialist focusing on cross platform software application development as well as all related aspects software engineering, project management and technology as a whole.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


DXWorldEXPO Digital Transformation Stories
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on...
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
Cloud is the motor for innovation and digital transformation. CIOs will run 25% of total application workloads in the cloud by the end of 2018, based on recent Morgan Stanley report. Having the right enterprise cloud strategy in place, often in a multi cloud environment, also helps companies become a more intelligent business. Companies that master this path have something in common: they create a culture of continuous innovation. In his presentation, Dilipkumar will outline the latest resear...
Everyone wants the rainbow - reduced IT costs, scalability, continuity, flexibility, manageability, and innovation. But in order to get to that collaboration rainbow, you need the cloud! In this presentation, we'll cover three areas: First - the rainbow of benefits from cloud collaboration. There are many different reasons why more and more companies and institutions are moving to the cloud. Benefits include: cost savings (reducing on-prem infrastructure, reducing data center foot print, redu...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
When building large, cloud-based applications that operate at a high scale, it’s important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. “Fly two mistakes high” is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee A...