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Data Virtualization at Northern Trust: A Case Study
New integration approach accelerates revenue

Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility is the first book published on the topic of data virtualization. Along with an overview of data virtualization and its advantages, it presents ten case studies of organizations that have adopted data virtualization to significantly improve business decision making, decrease time-to-solution and reduce costs. This article describes data virtualization adoption at one of the enterprises profiled, Northern Trust.

Organization Background
Northern Trust is a leading provider of innovative fiduciary, investment management, private banking, wealth management and worldwide trust and custody services. Clients include corporations, institutions, families and individuals in more than 40 countries.

Based in Chicago, Illinois, the company has over 13,000 employees. At the end of 2010, the company had assets under custody of $4.1 trillion, assets under management of $643.6 billion and banking assets of $83.8 billion. Annual revenues in 2010 were almost $3.7 billion.

For this case study, we interviewed Leonard J. Hardy, Senior Vice President, Operations and Technology. Hardy is a member of Northern Trust's Rapid Solutions group, which provides a solution architecture and consulting facility to other Northern Trust application development groups.

Hardy also manages the company's Integration Competency Center (ICC), which helps other application areas figure out the best way to integrate data. The ICC supports several tools for this, including data virtualization, ETL and data integration best practices. Hardy participated in this case study project in his ICC role.

The Business Problem
An important line of business for Northern Trust is providing outsourced investment management operations for corporate customers, typically investment management firms and banks.

These institutional customers continue to provide front-office investment management functions for their end clients, but outsource all or some of the middle-office and back-office functions to Northern Trust. By contracting these functions out to Northern Trust, the institution does not have to invest in the resources, assets and skills necessary to provide the functions internally. In return, Northern Trust provides guaranteed levels of quality, service, resilience and value-to-cost criteria and management.

The Northern Trust line of business responsible for investment management outsourcing is called Investment Operations Outsourcing (IOO).

The business problem for IOO was the fact that it had a large number of new institutional customers in the outsourcing pipeline and simply could not implement them fast enough.

As Hardy stated, "If we could get customers on board more quickly, we would realize several key benefits. First, revenue would increase. Second, we could go down the pipeline faster. We had customers already signed up for outsourcing who were waiting to be converted and we had to find a way to do that faster. That, in turn, would allow us to open up the pipeline and take advantage of huge new business opportunities in the marketplace."

The Technical Problem
Existing IOO client reporting capabilities had evolved within a traditional systems infrastructure and were both inefficient and inflexible, thereby extending the time it took to set up the end client reporting function for each customer.

For example, value-added client data was stored in multiple separate databases, including legacy, mainframe systems. In addition, some of the business logic to interpret the data structures and create reports was embedded in stored procedure code. The only way to access the data and interpret it correctly was to go through the stored procedures. There was no data warehouse or data mart that consolidated all this data and business logic for reporting purposes.

As a result, according to Hardy, "the old way of reporting required technology intervention for every single customer implementation. As you can imagine, each institution has its own formats, labels, graphics and fonts. A technology expert proficient in our development tools had to get involved and make changes to our reporting process for every customer. The time-to-market on that was very long. We needed the ability to bring on new customers without having to make technology changes for each one."

Two Options Evaluated
IOO considered two solution architectures to meet their business and technical challenges.

Physical Consolidation: One solution for IOO was to physically integrate the data using ETL and data warehousing technology. But that would require pulling all of the business logic out of the stored procedures and figuring out how to get all of the data into one database and have the structure make sense, a massive project that could take up to a year and a half.

Data Virtualization: Instead, IOO took a more innovative approach and decided to virtually integrate the data using the Composite Data Virtualization Platform as a virtual data warehouse. Placing Composite in the middle between the client reporting tool and the back-end data sources would enable IOO to quickly abstract the data into the data virtualization layer, reuse the existing business logic to access the data and generate all of the data needed for end client reporting. This approach required just seven months.

The Data Virtualization Solution - Architecture
Northern Trust's IOO data virtualization solution is a virtual data warehouse implemented with the Composite Data Virtualization Platform combined with a new client reporting front end. The major architecture components include:

Data sources - There are several physical data stores in the IOO environment.

  • Transaction data includes all of the detailed transactions for each end-client account: buys, sells, interest income, dividends, etc.
  • Valuation data includes, for each end-client account, how much it is worth today, how much it was worth yesterday, etc., based on the transaction data.
  • Enterprise asset data is a reference file that contains data about each asset in the client accounts, such as ticker symbol and investment category (equity, bond, money market, etc.). This data comes from a number of different third-party providers.
  • Performance data includes very complicated investment performance calculations that permit performance comparisons between accounts, such as one account against accounts of similar value or with similar investment strategies.
  • Transaction, valuation and enterprise asset data is stored in IBM DB2 and accessed via COBOL stored procedures.
  • Performance data is in Oracle and accessed via web services that call C code.

Data virtualization layer: The virtual data warehouse built using the Composite Data Virtualization Platform abstracts the data in the IOO data stores and creates a unified, virtual view that makes them appear as a single physical data store.

When the reporting platform issues a query to retrieve data from one or more data stores, Composite queries the data by calling the appropriate stored procedures and/or web services, combines the data (for example, associates all of the transactions that make up a valuation and the important performance data that applies to that valuation) and delivers it to the reporting platform.

Consuming applications: The primary consuming application is the client reporting platform. This is the toolset that IOO's internal business/operations partners now use to build, format and produce the reports for IOO's customers and their clients.

Another benefit of the reporting tool is that it supports a data dictionary and business views of the data that directly map to views within the data virtualization layer. These business views, or building blocks, conform the data into reusable components that the business analysts can use to create custom reports.

A key point here is that the solution has enabled IOO to transfer the time-consuming report customization work that previously had to be done for each new institutional customer by very high-priced and very busy technical resources (applications programmers) to IOO's operations partners (business analysts).

As Hardy summarized it, "We have been successful in our goal of taking the technology out of the outsourcing equation. As long as we supply the right data through Composite, the reporting tool handles all formatting, graphing and other functionality that we used to have to hard code within the application program. One reason we had such a big bottleneck in implementing outsourcing customers was the fact that we didn't have enough programmers in our application development group to handle the customization requirements. Business analysts in our operations group can now easily process the building blocks necessary to customize reports."

By combining the capabilities of data virtualization and the new reporting tool, IOO has been able to navigate through and abstract a very complex set of layers of translation to connect the raw IOO data structures to business metadata and finished customer reports.

The Data Virtualization Solution - Best Practices
Hardy offered some best practices and lessons learn based on his experience working with IOO.

Start with a focused project: Hardy stated that a focused initial effort is a key to success. "Don't start with a project to make all enterprise data available via a service." To date, IOO has completed four institutional customer implementations with over ten more in progress or planned.

Centralize support for data virtualization and development: Giving ICC responsibility for the data virtualization technology provided economies of scale and enabled the company to accelerate up the best practices learning curve in effectively implementing the technology in business solutions.

Understand the data: According to Hardy, data virtualization is no different than any other development or physical data integration tool. "The design and architecture of the solution is where you need to spend time. The old carpenter's adage of ‘measure twice and cut once' applies here. Don't just dive in and start coding views. Make sure you really understand the data. This is the key to success in an effort like this."

Educate and support the business: Hardy said it is also important to allocate time to consult with the business and make sure they understand the data. "In our case, they are the ones designing the reports but they don't necessarily have in-depth knowledge about the data in its raw form. So we need to help them understand the raw data and make sure that when the data gets to the end tool, people understand what they are looking at."

Manage business expectations: Although data virtualization is a capability that can get the job done faster, the organization still has to go through the same steps to implement the solution: analysis, design and architecture. "In our case, we could say it saved us a year and a half, but it did take seven months. So it will take time no matter how you do it."

Summary of Benefits
Hardy described the major benefits Northern Trust has achieved with the new IOO client reporting architecture based on data virtualization.

Faster time-to-market increases customer satisfaction and revenue: Data virtualization has dramatically reduced the time it takes to implement a new outsourcing customer by 50%. Moving customers through the pipeline faster improves overall customer satisfaction and gives IOO the capacity to bring in even more business and revenue.

Single point of access simplifies work and cut costs: The fact that the reporting tool, or any consuming application, has a single data access point regardless of the format, access method (SQL, web service, stored procedure, etc.) or data source  significantly reduces application complexity and development and maintenance time and cost.

Reuse benefits grow with adoption: The ability to create reusable data services that can be shared by all applications also reduces costs.

Long run flexibility is improved: Northern Trust is embarking on a three-year project to replace all of its underlying data stores with modern data warehouses and data marts. By putting data virtualization in the middle, thereby decoupling the back-end data from the consuming applications, IOO will not have to change anything that has been defined in the reporting tool when it swaps out the back-end data stores. It will only need to change the views to consume the new data sources.

•   •   •

Editor's Note: Robert Eve is the co-author, along with Judith R. Davis, of Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility, the first book published on the topic of data virtualization. The complete Northern case study, along with nine others enterprise are available in the book.

About 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.

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Internet of Things at Cloud Expo
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[June 5 - 7 2018]


Internet of Things at Cloud Expo 2018 East
Sponsorship Opportunities
Please Call
201.802.3021
events (at) sys-con.com
Sponsorship opportunities are now open for Internet of Things at Cloud Expo 2018 New York, taking place June 5-7, at the Javits Center in New York, NY, and Internet of Things at Cloud Expo 2018 Silicon Valley, November 6-8, at the Santa Clara Convention Center in Santa Clara, CA. For sponsorship, exhibit opportunities and show prospectus, please contact Carmen Gonzalez, carmen (at) sys-con.com.



@ThingsExpo Silicon Valley All-Star Speakers Include

MATTHIEU
Octoblu

MAHADEV
Cisco

MCCARTHY
Bsquare

FELICIANO
AMDG

PAUL
VenueNext

SMITH
Eviot

BEAMER
goTraverse

GETTENS
goTraverse

CHAMBLISS
ReadyTalk

HERBERTS
Cityzen Data

REITBAUER
Dynatrace

WILLIAM-
SON

Cloud
Computing

SCHMARZO
EMC

WOOD
VeloCloud

WALLGREN
Electric Cloud

VARAN-
NATH

GE

SRIDHARA-
BALAN

Pulzze

METRIC
Linux

MONTES
Iced

ARIOLA
Parasoft

HOLT
Daitan

CUNNING-
HAM

ReadyTalk

BEDRO-
SIAN

Cypress

NAMIE
Cisco

NAKA-
GAWA

Transparent
Cloud

SHIBATA
Transparent
Cloud

BOYD
Neo4j

VANDER-
MINDEN

Flatiron
Strategies

JAME-
NSKY

Embotics

KOCHER
Grey Heron

SPROULE
Metavine

BLACK
SQLstream

WARD
DWE

MILLER
Covisint

EVAVOLD
Covisint

MEINER
Oracle

MEEHAN
Esri

WITECK
Citrix

LIANG
Rancher Labs

BUTLER
Tego

ROWE
IBM Cloud

SKILLERN
Intel

SMITH
Numerex
@ThingsExpo New York All-Star Speakers Include

CLELAND
HGST

VASILIOU
Catchpoint

WALLGREN
Electric Cloud

HINCH-
CLIFFE

7Summits

DE SOUZA
Cisco

RANDALL
Gartner

ARMSTRONG
AppNeta

SMALLTREE
Cazena

MCCARTHY
Bsquare

DELOACH
Infobright

QUINT
Ontegrity

MALAUCHLAN
Buddy Platform

PALIOTTA
Vector

MITRA
Cognizant

KOCHER
Grey Heron

PAPDO
POULOS

Cloud9

HARLAN
Two Bulls

GOLO
SHUBIN

Bit6

PROIETTI
Location
Smart

MARTIN
nfrastructure

MOULINE
Everbridge

MARSH
Blue Pillar

PARKS
SecureRF

PEROTTI
Plantronics

HOFFMAN
EastBanc

WATSON
Trendalyze

BENSONOFF
Unigma

SHAN
CTS

MATTELA
Redpine

GILLEN
Spark
Coginition

SOLT
Netvibes

BERNARDO
GE Digital

ROMANSKY
TrustPoint

BEAMER
GoTransverse

LESTER
LogMeIn

PONO
-MAREVA

Google

SINGH
Sencha

CALKINS
Amadeus

KLEIN
Rachio

HOASIN
Aeris

SARKARIA
PHEMI

SPROULE
Metavine

SNELL
Intel

LEVINE
CytexOne

ALLEN
Freewave

MCCALLUM
Falconstor

HYEDT
Seamless

@ThingsExpo Silicon Valley All-Star Speakers Include

SCHULZ
Luxoft

TAMBURINI
Autodesk

MCCARTHY
Bsquare

THURAI
SaneIoT

TURNER
Cloudian

ENDO
Intrepid

NAKAGAWA
Transparent

SHIBATA
Transparent

LEVANT-LEVI
testRTC

VARAN NATH
GE

COOPER
M2Mi

SENAY
Teletax

SKEEN
Vitria

KOCHER
Grey Heron

GREENE
PubNub

MAGUIRE
HP

MATTHIEU
Octoblu

STEINER-JOVIC
AweSense

LYNN
AgilData

HEDGES
Cloudata

DUFOUR
Webroot

ROBERTS
Platform

JONES
Deep

PFEIFFER
NICTA

NIELSEN
Redis

PAOLALANTORIO
DataArchon

KAHN
Solgenia

LOPEZ
Kurento

KIM
MapR

BROMHEAD
Instaclustr

LEVINE
CytexOne

BONIFAZI
Solgenia

GORBACHEV
Intelligent
Systems

THYKATTIL
Navisite

TRELOAR
Bebaio

SIVARAMA-
KRISHNAN

Red Hat
Cloud Expo New York All-Star Speakers Included

DE SOUZA
Cisco

POTTER
SafeLogic

ROBINSON
CompTIA

WARUSA
-WITHANA

WSO2 Inc

MEINER
Oracle

CHOU
Microsoft

HARRISON
Tufin

BRUNOZZI
VMware

KIM
MapR

KANE
Dyn

SICULAR
Basho

TURNER
Cloudian

KUMAR
Liaison

ADAMIAK
Liaison

KHAN
Solgenia

BONIFAZI
Solgenia

SUSSMAN
Coalfire

ISAACSON
RMS

LYNN
CodeFutures

HEABERLIN
Windstream

RAMA
MURTHY

Virtusa

BOSTOCK
IndependenceIT

DE MENO
CommVault

GRILLI
Adobe

WILLIAMS
Rancher Labs

CRISWELL
Alert Logic

COTY
Alert Logic

JACOBS
SingleHop

MARAVEI
Cisco

JACKSON
Softlayer

SINGH
IBM

HAZARD
Softlayer

GALLO
Softlayer

TAMASKAR
GENBAND

SUBRA
-MANIAN

Emcien

LEVESQUE
Windstream

IVANOV
StorPool

BLOOMBERG
Intellyx

BUDHANI
Soha

HATHAWAY
IBM Watson

TOLL
ProfitBricks

LANDRY
Microsoft

BEARFIELD
Blue Box

HERITAGE
Akana

PILUSO
SIASMSP

HOLT
IBM Cloudant

SHAN
CTS

PICCININNI
EMC

BRON-
GERSMA

Modulus

PAIGE
CenturyLink

SABHIKHI
Cognitive Scale

MILLS
Green House Data

KATZEN
CenturyLink

SLOPER
CenturyLink

SRINIVAS
EMC

TALREJA
Cisco

GORBACHEV
Systems Services Inc.

COLLISON
Apcera

PRABHU
OpenCrowd

LYNN
CodeFutures

SWARTZ
Ericsson

MOSHENKO
CoreOS

BERMINGHAM
SIOS

WILLIS
Stateless Networks

MURPHY
Gridstore

KHABE
Vicom

NIKOLOV
GetClouder

DIETZE
Windstream

DALRYMPLE
EnterpriseDB

MAZZUCCO
TierPoint

RIVERA
WHOA.com

HERITAGE
Akana

SEYMOUR
6fusion

GIANNETTO
Author

CARTER
IBM

ROGERS
Virtustream
Cloud Expo Silicon Valley All-Star Speakers

TESAR
Microsoft

MICKOS
HP

BHARGAVA
Intel

RILEY
Riverbed

DEVINE
IBM

ISAACSON
CodeFutures

LYNN
HP

HINKLE
Citrix

KHAN
Solgenia

SINGH
Bigdata

BEACH
SendGrid

BOSTOCK
IndependenceIT

DE SOUZA
Cisco

PATTATHIL
Harbinger

O'BRIEN
Aria Systems

BONIFAZI
Solgenia

BIANCO
Solgenia

PROCTOR
NuoDB

DUGGAL
EnterpriseWeb

TEGETHOFF
Appcore

BRUNOZZI
VMware

HICKENS
Parasoft

KLEBANOV
Cisco

PETERS
Esri

GOLDBERG
Vormetric

CUMBER-
LAND

Dimension

ROSENDAHL
Quantum

LOOMIS
Cloudant

BRUNO
StackIQ

HANNON
SoftLayer

JACKSON
SoftLayer

HOCH
Virtustream

KAPADIA
Seagate

PAQUIN
OnLive

TSAI
Innodisk

BARRALL
Connected Data

SHIAH
AgilePoint

SEGIL
Verizon

PODURI
Citrix

COWIE
Dyn

RITTEN-
HOUSE

Cisco

FALLOWS
Kaazing

THYKATTIL
TimeWarner

LEIDUCK
SAP

LYNN
HP

WAGSTAFF
BSQUARE

POLLACK
AOL

KAMARAJU
Vormetric

BARRY
Catbird

MENDEN-
HALL

SUPERNAP

SHAN
KEANE

PLESE
Verizon

BARNUM
Voxox

TURNER
Cloudian

CALDERON
Advanced Systems

AGARWAL
SOA Software

LEE
Quantum

OBEROI
Concurrent, Inc.

HATEM
Verizon

GALEY
Autodesk

CAUTHRON
NIMBOXX

BARSOUM
IBM

GORDON
1Plug

LEWIS
Verizon

YEO
OrionVM

NAKAGAWA
Transparent Cloud Computing

SHIBATA
Transparent Cloud Computing

NATH
GE

GOKCEN
GE

STOICA
Databricks

TANKEL
Pivotal Software


Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
General Manager of Window Azure
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
Yasser Khan
CEO of @Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Peak_Ten


Who Should Attend?
Senior Technologists including CIOs, CTOs & Vps of Technology, Chief Systems Engineers, IT Directors and Managers, Network and Storage Managers, Enterprise Architects, Communications and Networking Specialists, Directors of Infrastructure.

Business Executives including CEOs, CMOs, & CIOs , Presidents & SVPs, Directors of Business Development , Directors of IT Operations, Product and Purchasing Managers, IT Managers.

Download Cloud Expo Show Guide
Cloud Expo Show Guide
Download PDF

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If you would like to participate, please provide us with details of your website/s and event/s or your organization and please include basic audience demographics as well as relevant metrics such as ave. page views per month.

To get involved, email Lissette Mercado at lissette@sys-con.com.

@ThingsExpo Blogs
This is the time of year when everyone makes his or her predictions for 2018. I have my predictions as well, but wanted to do something a bit more fun. So I thought I’d look backwards to the state of technology 50 years ago to gain some insights that we can use to make projections about 2018. That is, what “predictions” made in the 1950’s might tell us about 2018. However, it’s really hard to find predictions about the future made in the 1950’s. There was no Internet or Social Media or Reality TV, so I found the next best proxy…sci-fi movies! I decided to review the most popular sci-fi mo...
Our cities have been connected since the dawn of urbanization in the Indus Valley and on the plains of Mesopotamia nearly ten millennia ago. Cities exist to gather and connect people, bringing us together into communities and joint ventures that need complex networks of communication. But in recent years the connected city has come to mean something more. Today and in the future, the connected city will not just be about people connecting with people, but people with machines, people with people via machines, and perhaps most importantly, machines with machines.
The time of year when crystal balls get a viewing and many pundits put out their annual predictions for the coming year. Copying off since 2012, rather than thinking up my own, I figured I’d regurgitate what many others expect to happen. Top 10 Cyber Security Predictions for 2018 – Infosec Institute kicks off this year’s Top 10, Top 10 list with a look back at their 2017 predictions (AI, IoT, etc.) and dives head first into 2018 noting that Ransomware will be the most dangerous threat to organizations worldwide; cryptocurrency will attract fraudsters looking to mine; cloud security will (ag...
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform. In his session at @ThingsExpo, Craig Sproule, CEO of Metavine, demonstrated how to move beyond today's coding paradigm and shared the must-have mindsets for removing complexity from the development process, accelerating application delivery times, and ensuring that developers will become hero...
A strong declaration from a historically antagonist foe should put chills in the hearts of Americans preparing themselves for the world ahead: Russian President Vladimir Putin says the nation that leads in AI will be the ruler of the world [1]” … The ruler of the world! From the article (with some modification to avoid political landmines), we get the following: “The development of artificial intelligence has increasingly become a national security concern in recent years. It is China and the US (not Russia), which are seen as the two frontrunners, with China recently announcing its ambi...
This month, an AI (artificial intelligence) system passed a medical exam in China for the first time. I wonder how its bedside manner will be? In addition, Saudi Arabia granted citizenship to a robot named Sophia. With all these rapid advancements, I think it is time we explore the spiritual life of robots. Up till recently, programmers coded and configured algorithms, AI, automation and machine learning system and took personal responsibility for all the code. Today, however, AI has escaped the confines of human oversight and has been empowered and employed to self-program, self-optimize, ...
Augmented reality (AR) and virtual reality (VR) have been the subject of much discourse in the last several years. They were widely anticipated in the gaming and entertainment industries, but in marketing and corporate settings, the benefits were murky at best. Today, these technologies are becoming more of a reality in all areas of business. For example, the new IKEA® shopping app leverages augmented reality to help shoppers determine how certain popular items will look in their homes – no trip to a crowded megastore necessary. Marriott® deployed virtual reality for customers to see its hot...
"Evatronix provides design services to companies that need to integrate the IoT technology in their products but they don't necessarily have the expertise, knowledge and design team to do so," explained Adam Morawiec, VP of Business Development at Evatronix, in this SYS-CON.tv interview at @ThingsExpo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
As we end 2017, I’m tired of writing “lecturing” blogs about what organizations should be doing to master data monetization in order to power their business models and achieve digital transformation. While the objective of every organization should be to master big data and data science (artificial intelligence, machine learning, deep learning) to drive “data monetization,” let’s take a breath and have some fun. My recent ankle surgery afforded me the opportunity to binge watch “Game of Thrones.” As I watched the impending battle between the White Walkers and humanity, I couldn’t help but ...
For better or worse, big data has irrevocably altered the digital landscape. The explosion in variety, velocity, volume and value of information presents an abundance of previously unimaginable opportunity. But it also creates a number of challenges that need to be successfully navigated. This reshaped technical world poses the following question to organizations: do you risk presenting, stale, incorrect or erroneous data to your customers? Because, with 2.5 quintillion bytes of data now being created every day, finding a way to manage and harness such potential is a new experience for everyo...
Net Neutrality rules were originally enacted to ensure that all Americans would have equal access to a free and open Internet. We can argue about what Net Neutrality rules did and did not accomplish in a moment, but now I want to explore the most sensational of all the post–Net Neutrality fears: the death of the Internet. If you’re still reading, you know that the FCC voted to repeal Net Neutrality rules (aka the Open Internet) and replace it with the “Restoring Internet Freedom” order. The outcry from the Open Internet camp has been loud, hyperbolic, hypothetical, and mostly based on the fun...
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be looking at some significant engineering investment. On-demand, serverless computing enables deve...
“Why incur the expense of generating and collecting all of this IoT data if you’re not going to monetize it?” Organizations are racing to embrace the Internet of Things (IoT) as the pundits create “visions of sugar-plums dancing in their heads.” McKinsey Global Institute released their study “The Internet of Things: Mapping the Value beyond the Hype” in June 2015 that highlighted the staggering financial value that IoT could create! (See Figure 1.)
Recently I read somewhere this statement – As we end 2017 and look ahead to 2018, topics that are top of mind for data professionals are the growing range of data management mandates, including the EU’s new General Data Protection Regulation that is directed at personal data and privacy, the growing role of artificial intelligence (AI) and machine learning in enterprise applications, the need for better security in light of the onslaught of hacking cases, and the ability to leverage the expanding Internet of Things.
There is a war a-brewin’, but this war will be fought with wits and not brute strength. Ever since Russian President Vladimir Putin’s declaration that “the nation that leads in AI (Artificial Intelligence) will be the ruler of the world,” the press and analysts have created hysteria regarding the ramifications of artificial intelligence on everything from public education to unemployment to healthcare to Skynet. Note: artificial intelligence (AI) endows applications with the ability to automatically learn and adapt from experience via interacting with the surroundings / environment. See the b...
What's disruptive innovation, and why does it matter to leaders in the C-suite? It's how the savvy non-conformist will target market opportunities. How does this happen, when established companies seem to have the advantage? Creative software developers can quickly apply new technologies and digital business models to capture untapped demand.

Moreover, the most disruptive new companies will eventually reshape entire industries, swiftly pushing aside the legacy incumbent players -- it's a form of Digital Darwinism. The global networked economy will blossom, thanks to the pervasive In...
"IBM is really all in on blockchain. We take a look at sort of the history of blockchain ledger technologies. It started out with bitcoin, Ethereum, and IBM evaluated these particular blockchain technologies and found they were anonymous and permissionless and that many companies were looking for permissioned blockchain," stated René Bostic, Technical VP of the IBM Cloud Unit in North America, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
In his session at 21st Cloud Expo, Carl J. Levine, Senior Technical Evangelist for NS1, will objectively discuss how DNS is used to solve Digital Transformation challenges in large SaaS applications, CDNs, AdTech platforms, and other demanding use cases. Carl J. Levine is the Senior Technical Evangelist for NS1. A veteran of the Internet Infrastructure space, he has over a decade of experience with startups, networking protocols and Internet infrastructure, combined with the unique ability to iterate use cases, bring understanding to those seeking to explore complicated technical concepts and ...
22nd International Cloud Expo, taking place June 5-7, 2018, at the Javits Center in New York City, NY, and co-located with the 1st DXWorld Expo will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy. Meanwhile, 94% of enterprises are using some form of XaaS – software, platform, and infras...
So data warehousing may not be cool anymore, you say? It’s yesterday’s technology (or 1990’s technology if you’re as old as me) that served yesterday’s business needs. And while it’s true that recent big data and data science technologies, architectures and methodologies seems to have rendered data warehousing to the back burner, it is entirely false that there is not a critical role for the data warehouse and Business Intelligence in digitally transformed organizations.