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Don’t Call #BigData Dead | @CloudExpo #IoT #AI #ML #MachineLearning
Is Big Data falling into Gartner’s dreaded trough of disillusionment?

You can call me biased, or out of touch, but over the past two years, I’ve been reading articles and blogs about how Big Data is going away, dying, or already dead. So what changed?

Is Big Data falling into Gartner’s dreaded trough of disillusionment? Did someone discover that predictive analytics could have a butterfly effect and change the course of history and hence, we should abandon these voodoo analytics practices? Did we figure out that we actually don’t have enough data to call it “Big” data? Did we already finish analyzing all the data and we’re all done? Or… are the people calling it dead really just a bunch of marketers who are looking move on to the next new thought leadership topic, so they write one final blog to make one final impression just before they abandon the topic? Bingo. I’m looking at you… industry pundits, thought leaders, and analysts.

These people are making misleading and even damaging claims that could influence organizations to make bad decisions. Big Data is not dead. Big Data is not going away. It’s getting bigger, more diverse, and more critical for organizations that want a competitive advantage. Okay, there, I said it.

So why all the talk about doom and gloom?

Let’s back up to… circa 1997. The World Wide Web is taking off. The “net” is a battle ground for thought leadership. People quickly discover that sticking the letter “E” in front of a name makes it sell like hotcakes. Email and e-commerce become prevalent. Internet tradeshows and conferences pop up everywhere. Homer Simpson starts his own ISP called “Compu-Global-Hyper-Mega-net” after discovering that they now have the Internet for computers!

So why are there no “Internet” tradeshows now? Why does nobody’s business card today say “Internet Specialist”? Did the Internet die? Of course not. It simply became so pervasive that it needed to be broken down to the next levels of granularity and specialization.

Flash forward 10 years to 2008. We’re still recovering from the dot-com crash, and getting ready for the next economic collapse. We’ve now realized that there needs to be a sound business model behind an online business and people are rethinking how the Internet can do more than host online brochures and basic e-commerce. And so this word “cloud” starts popping up everywhere. Nobody knows what it means. Every wannabe thought leader, marketer, and analyst is fighting to prove that they know what is it and why they uniquely have the skills, processes, and technologies to harness its power. Cloud becomes the new buzzword battleground. NIST even finds it necessary to develop and standardize a complex definition of cloud, and then 15 versions and several years later, it’s done, and… nobody cares. In the end, cloud was a bad name for a concept that people already understood. We could have just said… “it means it’s like Hotmail so nothing is stored on your computer” – good enough. Done. But cloud has had impressive stickiness as a term. We now have public, private, and hybrid cloud – which are all valid things. From a terminology and thought leadership perspective, we’re still coming up with new ways to confuse our customers into thinking that they are missing out.

So… Big Data. Another horrible name for something people already understood. After years of confusion, now the commoner can even explain it – analyzing lots of data to help make better decisions – got it thanks bye. To get here, we went through years of senselessly complex definitions, such as the 3 Vs definition (Volume, Variety, and Velocity) coined by Doug Laney of Gartner. Then of course, other analysts felt the need to call that definition inadequate by adding more Vs (Validity, Veracity, Value, Visibility, etc.), which was extremely helpful… said no one ever. And some vendors are also trying to persuade us that they do more than the now standard “descriptive, predictive, and prescriptive” analytics, by adding new terms such as “explorative, diagnostic, and cognitive” analytics. In our consulting organization, we take a different approach – we talk about the 4-Ms, because it’s actionable and much easier to remember (Make Me More Money).

Today, our tech analysts, fellow marketers, and thought leaders are hungry for the next revolution and eager to call Big Data dead, so they can say “I said it first!” Some are saying that Big Data, as a topic, is being replaced by “machine learning”, and that is the new shiny penny. So all you need to do is a simple Find/Replace on all your Big Data messaging. Seriously? Come on.

Machine learning, although cool, new and full of potential, is not a replacement for data analytics – it’s a use case, or an instantiation of it. Others are saying that Big Data is dead and we’re moving to IoT (Internet of Things – which btw, from a terminology perspective, is already showing signs of cracks, with people saying “no it’s now about the Internet of Everything …yawn). IoT can be considered a use case for Big Data. Or, Big Data is the cause of the IoT phenomenon. Or, IoT is what fuels Big Data. Take your pick. We get so wrapped up in the terminology, that we’re missing the more important point that Big Data, as field, is actually expanding, with new specialty areas that touch a wider range of industries and use cases. When things become this pervasive, it’s easy to consider them old, or even irrelevant. Snap out of it!!!

Unfortunately, these terms, and their current popularity as thought leadership topics, wind up influencing major strategic business decisions when irresponsible people start calling Big Data dead. The misinformation floating around the interwebs is unfortunately influencing major businesses to invest, or not, in Big Data analytics, for all the wrong reasons. Analytics is not going away – it is just getting started. Data is not going away – it is growing exponentially. The business opportunities from data and analytics are not going away – we’re just skimming surface.

Go ahead and talk all you want about your new terms and buzzwords to sound fresh and differentiated. You can call me out of touch, but I’ll be busy helping customers use data to make better decisions, create smarter products, and deliver more value. Last I checked – that was still in style.

The post Don’t Call Big Data Dead – You’d be Dead Wrong appeared first on InFocus Blog | Dell EMC Services.

Read the original blog entry...

About Jeffrey Abbott
Jeff is part of Tata Consultancy Services Digital Software and Solutions group, as a lead evangelist for its IoT analytics platform solutions for smart cities, smart retail, smart banking, smart comms, and other areas.

Prior to TCS, Jeff was part of EMC’s Global Services division, helping customers understand how to identify, and take advantage of opportunities in Big Data, IoT, and digital transformation. Jeff helped build and promote a cloud-based ecosystem for CA Technologies that combined an online community, cloud development platform, and e-commerce site for cloud services and spent several years within CA’s Thought Leadership group, developing and promoting content and programs around disruptive trends in IT. Prior to this, Jeff spent 3 years product marketing EMC, as well as a tenure Citrix, and numerous hi-tech marketing firms – one of which he founded with 2 former colleagues in 1999. Jeff lives in Sudbury, MA, with his wife, 2 boys, and dog. Jeff enjoys skiing, backpacking, photography, and classic cars.

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KRISHNAN

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CHOU
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LYNN
CodeFutures

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BERMING-
HAM

SIOS

WILLIS
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Gridstore

KHABE
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GetClouder

DIETZE
Windstream

DALRY-
MPLE

EnterpriseDB

MAZZUCCO
TierPoint

RIVERA
WHOA.com

HERITAGE
Akana

SEYMOUR
6fusion

GIANNETTO
Author

CARTER
IBM

ROGERS
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Cloud Expo Silicon Valley All-Star Speakers

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MICKOS
HP

BHARGAVA
Intel

RILEY
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IBM

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CodeFutures

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HP

HINKLE
Citrix

KHAN
Solgenia

SINGH
Bigdata

BEACH
SendGrid

BOSTOCK
IndependenceIT

DE SOUZA
Cisco

PATTATHIL
Harbinger

O'BRIEN
Aria Systems

BONIFAZI
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BIANCO
Solgenia

PROCTOR
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DUGGAL
EnterpriseWeb

TEGETHOFF
Appcore

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PETERS
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Vormetric

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Dimension

ROSENDAHL
Quantum

LOOMIS
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StackIQ

HANNON
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HOCH
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PAQUIN
OnLive

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HOUSE

Cisco

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Kaazing

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TimeWarner

LEIDUCK
SAP

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HP

WAGSTAFF
BSQUARE

POLLACK
AOL

KAMARAJU
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BARRY
Catbird

MENDEN-
HALL

SUPERNAP

SHAN
KEANE

PLESE
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BARNUM
Voxox

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CALDERON
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AGARWAL
SOA Software

LEE
Quantum

OBEROI
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HATEM
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1Plug

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Verizon

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OrionVM

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Transparent Cloud Computing

SHIBATA
Transparent Cloud Computing

NATH
GE

GOKCEN
GE

STOICA
Databricks

TANKEL
Pivotal Software


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Digital Transformation Blogs
CloudEXPO New York 2018, colocated with DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
DXWorldEXPO | CloudEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can...