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CIOZone.com Platform Blog

A Blog to discuss the underlying technologies used for the CIOZone as well as commentary on our experiences in using them.

Jun 04
2013

CIOs 2013 Mandate: Innovation and Transformation

Posted by Bill Gerneglia in Untagged 

Bill Gerneglia
Approximately 700 CIOs, senior IT and business executives attended the tenth annual MIT CIO Symposium recently to better understand and explore with colleagues the changing enterprise IT environment.
 
“Many of the organizations here today have had to fundamentally change in order to remain vital,” said Christopher Reichert, director of MIT Sloan Club in Cambridge, Mass.
 
The most common theme to emerge from the conference was nearly universal discovery that CIOs must become innovation leaders by driving the use of technology within the organization to address the rapidly changing business and economic requirements.
 
The day began with a CEO panel on the use of power and influence during the process of innovation.  The moderator, Joe Chung, managing director and co-founder of Redstar Ventures, said that the problem with IT decisions today is that they tend to be made by HIPPOs (highly paid person’s opinion).
 
“A recent survey showed that one of the top things that CIOs are tasked with by the CEO is how to bring the company’s value up through innovation. IT systems are the drive of the company’s value. The driver may be the CEOs putting pressure on the CIOs, but priorities are changing and CEOs are looking more to IT to increase company value rather than just focusing on cost,” said Kazuhiro Gomi, president and CEO, NTT America, Inc.
Next, a panel of MIT professors discussed the growth of Big Data and the effects of mobility, cloud and other emerging IT trends on the amount of data there is today.
 
“There’s been a lot of hype of what’s been happening with big data. To be successful in IT, there must to be a revolution in management, culture decision-making rather than just being a revolution in technology. Great revolution in science begins with great revolution in management,” said prof. Erik Brynjolfsson, director of the MIT Center for Digital Business.
 
As we walk around with smartphones, we are a walking cloud of data that creates more data in one second than there was in the entire Internet just a few years ago, said Brynjolfsson. So what will we ultimately do with all of that information?
 
 
Another session focused on the traditional CIO responsibilities and how they must be able to do all of those things in addition to innovating to stay current. The panel was moderated by Shawn Banerji, managing director of Russell Reynolds Associates, an organization focused on leadership succession and search of senior-level executives.
 
Banerji began with the results of a survey of 985 IT professional respondents in the fall 2012 study by Russell Reynolds Associates and Columbia Business School. According to the survey, CIOs believe the key to IT leadership is driving results and change through people and skills rather than technical ability.
 
CIOs must fully understand their concrete responsibilities before innovating.  According to Russell Reynolds Associates, the traditional CIO responsibilities include: delivering complex programs on time and on budget, managing multiple stakeholders inside and outside of the organization, ensuring the highest standards of information security and serving as an effective strategic partner to the line of business.
 
published by myitview.com  
 
May 29
2013

Event: Global Sourcing - The Next Generation Road Show

Posted by Bill Gerneglia in Untagged 

Bill Gerneglia

It’s a Mad, Mad, Mad, Mad World. If you’re an outsourcing buyer or provider working in the global marketplace, make sense of it all by attending Outsourcing Institute’s Global Sourcing – The Next Generation Road Show on June 19, 2013, in New York City.

From federal regulations to the changing provider landscape to buyers and providers meeting each other’s most pressing needs, discover how to maximize outsourcing in a dynamic and complex global environment.

May 21
2013

Webinar: Hadoop for Enterprises: Unleashing Opportunities

Posted by Bill Gerneglia in Untagged 

Bill Gerneglia

For decades, companies have based business decisions on transactional data stored in relational databases. But beyond that critical data, every enterprise also has a treasure trove of “Big Data”: non-traditional, less structured data, including weblogs, social media, email, sensor data, and photographs.

When Big Data is mined and integrated with traditional data, companies can achieve a deeper understanding of their operations, resulting in enhanced productivity, stronger competitive positioning, and greater innovation.

This timely webinar will explore the potential bottom line impact of  Big Data. It will also examine current business constraints against Big Data, and will provide useful approaches to overcoming these challenges.

 



May 07
2013

Three Ways to Reduce Costs by Outsourcing Data Center Infrastructure

Posted by Bill Gerneglia in Untagged 

Bill Gerneglia

When organizations look to reduce costs by following an outsourcing strategy, it’s easy to think about reducing capital expenditures by avoiding purchases of hardware, software licenses and networking bandwidth. But IT executives and their finance colleagues often believe it’s even more important to use outsourcing to reduce operating expenses, because those costs usually recur and often increase over time even without increases in business activity. 

 

Apr 29
2013

Most Popular Big Data (Bases) and Tools

Posted by Bill Gerneglia in Untagged 

Bill Gerneglia
The following is a description of current and emerging Big Data database technologies. The discussion is based on the objectives of these technologies as well as the type of data involved.

First Some Noteworthy Data Facts

An interesting implementation fact  in most successful Big Data systems show that  that the value of an individual piece of data decreases with time and the value of a collection of data rises with time. Additionally, the value of aggregated data should continue to increase over time, and closing the gap in the time taken to extract, transform, and load a data item will increase the value of the data more rapidly as the system tries to approach the theoretical concept of real-time decision making. Like many well engineered systems, the closer we get to zero defects and real-time processing, the more expensive the implementation becomes for the system owner.

So how do we most effectively achieve our Big Data decision making objectives given the tools available today? By selecting the proper database management tool that most closely matches our analytical decision making requirements.

In the world of database management systems used today for processing Big Data we have the following solutions:

1. RDMS/SQL  - These are the traditional relational Database management systems that use the traditional relational tables and indexes that we're used to. Some examples are Microsoft SQL, Oracle, MySQL, etc.

 

Benefits:

A well understood and consistent model meaning an application than runs on MySQL can be altered to run on Oracle without changing its basic assumptions.

Maintain relational integrity. ACID guarantees, ie  ACID (Atomicity, Consistency, Isolation, Durability) is a set of properties that guarantee that database transactions are processed reliably.

Comprehensive OLTP/transaction support. Strong OLAP/analysis tools, often built in (MS Analysis Services, Oracle OLAP)

Problems:

Most solutions are expensive.

Scales up (i.e. bigger servers), but struggles to scale out (i.e. lots of servers). Also expensive. Not 'natural' for developers, which results in translation overhead and common mistakes like N+1 errors.

 

2. NoSQL - In-memory non-relational databases

These don't support the SQL language (hence the name) but more significantly don't support ACID or relationships between tables. Instead they're designed to query document data very quickly.

Examples: Hadoop, MongoDB, CouchDB, Riak, Redis, Cassandra, Neo4J, MemBase, HBase, etc

Benefits:

Cheap, mostly open source implementations. Systems can scale out very easily, tables can be readily sharded/federated across servers.

Most store native programmer objects, so no translation to tables.

Very, very fast at finding records from massive datasets.

 

Problems:

No common model and there is quite a bit of differences between the many solutions.

No ACID guarantees, instead high fault tolerance must be built into the application.

Transactions are at the row level only (if supported at all).

Poor at aggregation - where an RDMS solution would use SUM, AVG and GROUP BY a NoSQL solution has map-reduce, which (some minor optimizations aside) has to do the equivalent of a table-scan.

Poor at complex joins, although arguably this is something you'd design differently for.

 

3. NewSQL- In-memory relational databases

NewSQL is a class of modern relational database management systems that seek to provide the same scalable performance of NoSQL systems for online transaction processing (read-write) workloads while still maintaining the ACID guarantees of a traditional single-node database system.

These maintain ACID and relational integrity, but are in memory (like NoSQL) and readily scalable. They support SQL syntax. These are relatively new implementations and many traditional database vendors have rolled out their own solutions with the same capabilities. Think Oracle, Sybase, and even SAP with their in-memory HANA solution.

The most popular NewSQL systems attempt to distribute query fragments to different data nodes. These are designed to operate in a distributed cluster of shared-nothing nodes. Here nodes typically own a subset of the data. SQL Queries are split into query fragments and sent to the nodes that own the data. These databases are able to scale linearly as additional nodes are added.

Examples: Clustrix, VoltDB, GenieDB, etc.

 

 Published by myBigDataView.com
Apr 24
2013

Cybercriminals Increasingly Target Small Businesses.

Posted by Bill Gerneglia in Untagged 

Bill Gerneglia
A recent data breach investigations report from Verizon shows that small businesses continue to be the most victimized of all companies. Is this because there are many more smaller businesses than larger ones - and the larger ones have more resources and layered security mechanisms to combat cyber attacks? The answer depends on a couple of factors.

Of the 621 confirmed data breach incidents Verizon recorded in 2012, close to half occurred at companies with fewer than 1,000 employees, including 193 incidents at organizations with fewer than 100 workers.

A different recent report from Symantec has confirmed this trend. The report discovered that cyber attacks on small businesses with fewer than 250 employees increased 31% in 2012, after growing by 18% in the prior year. It's a pattern that many security analysts have noticed for several years now. Larger corporations have more resources and CISOs that are capable of investing heavily in sophisticated security strategies. That's forced cyber criminals to look for other ways to direct their initial attacks.

Cyber criminals today have become efficient in using smaller businesses to initiate their attack as a way of working upstream to a larger organization that may purchase software, hardware, or services from the smaller organization. These smaller suppliers or partners of large companies offer an indirect path into a major corporation's network.

Another tactic some more patient cyber criminals are using is targeting small companies in growth industries, such as health care or manufacturing. The cyber criminals plant their backdoor in the smaller organizations software in hope that their targets could be acquired by a larger corporation at some point down the road. Meanwhile, they lie in wait -- if and when the company merges or is acquired, they gain access to breach the system of the larger parent company.

Despite the statistics, too many small businesses think they're invulnerable. Some believe their small business would be a boring target for hackers.

 Small businesses can't afford to remain complacent or ignorant about the risk of being a cyberattack target as they store valuable information for hackers, like customers' credit card numbers, code repositories, and intellectual property. 

The most common tactics cyberattackers use against small businesses include "ransomware" scams that lock computers and demand a ransom fee. Attackers also use malicious software designed to steal information from employees' mobile devices and malware that uses a small businesses' website as bait to gain access to a larger company's database.
 
To combat the siege small businesses should deploy basic tactics such as 
using good passwords, maintain the latest versions of antivirus software, and keeping essential business services off direct access to the Internet.
 
 
Published by myCIOview.com 
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