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Five Questions Around Big Data
Data is the new currency of business and we are in the era of data-intensive computing

Data is the new currency of business and we are in the era of data-intensive computing. Much has been written on Big Data throughout 2012 and customers around the world are struggling to figure out its significance to their businesses. Someone said there are 3 I’s to Big Data

  • Immediate (I must do something right away)
  • Intimidating (what will happen if I don’t take advantage of Big Data)
  • Ill-defined (the term is so broad that I’m not clear what it means).

In this blog post, I would like to pose five key questions that customers must find answers to with regards to Big Data. So here goes.

1. Do I understand my data and do I have a data strategy?
There are varieties of data – customer transaction data, operational data, documents/emails and other unstructured data, clickstream data, sensor data, audio streams, video streams, etc. Do I have a clear understanding the 3V’s of Big Data – Volume, Velocity, and Variety? What is data “in motion” vs. data “in rest”? Data in motion demands split-second decisions and do I have such tools? Every data source must be understood followed by their attributes and growth projections.

Customers must have an overall data strategy based on their business importance. For example, business critical data must be highly reliable, secure and of high performance. A data policy must be in place to take care of volume, growth, retention, security and compliance needs.

2. What are my reporting needs to transform my business and give me insights for growth?
Businesses are transforming to stay ahead of the competition. While we asked, “what happened” in the past, now it is “why did it happen and what is going to happen?”. From data collection, we have to move to data analysis. Instead of analyzing existing business, we must create new business. Therefore, the retail industry wants to give “today’s recommendation” on the fly to clients; internal IT needs operational intelligence to make it more efficient; customer service must provide customer insight; and fraud management must look at social profiles to reduce fraud. The list goes on…

Do you have a clear understanding of your reporting needs via data visualization on mobile devices like the iPad with touch interface? You will need a strategy of all the analytic tools for key employees/executives to make quick business-relevant decisions.

3. How do I drastically reduce my TCO of Data Warehousing and BI?
Many large enterprises are spending millions of dollars to move operational data to a data warehouse via ETL tools (Extraction, Transformation, Loading). This can be expensive and time consuming. Sears, for example, has a slogan “ETL must die”. By moving to Hadoop, they reduced the ETL time from 20 hours to 17 minutes. They claim serious cost reductions by moving from traditional ETL to direct loading of raw data to Hadoop servers. Today’s implementations must be studied for price-performance and newer technologies can bring down costs and improve processing time drastically. Would you like to develop reports in days rather than weeks?

4. How does Big Data co-exist with my current OLTP and DW data?
All enterprises have business-critical operational systems (OLTP). These are using traditional DBMS systems (such as Oracle, DB2, IMS, etc.). They also created separate Data Warehousing systems with BI tools for analysis. Now the new world of Internet data such as chatters from social networks and Web Log data (digital exhaust) are adding to the complexity. What is your approach to data integration of the legacy vs. new data?

5. What is the right technology for my needs?
I keep hearing so many new terms and vendor names – Hadoop, Cloudera, Hortonworks, Datameer, NoSQL, MongoDB, Map-reduce, Data Appliance, HBase, etc. It surely can be very confusing!

I need to know what is the right technology for my needs. If I have petabyte volumes data coming from various sources, what technology can I implement to efficiently handle that? Then, how do I get relevant information from that pile to help my business insights? I also need to know what skills I need to do that and the cost. I need an implementation roadmap for getting value from all the data that my business is coming up with.

Read the original blog entry...

About Jnan Dash
Jnan Dash is Senior Advisor at EZShield Inc., Advisor at ScaleDB and Board Member at Compassites Software Solutions. He has lived in Silicon Valley since 1979. Formerly he was the Chief Strategy Officer (Consulting) at Curl Inc., before which he spent ten years at Oracle Corporation and was the Group Vice President, Systems Architecture and Technology till 2002. He was responsible for setting Oracle's core database and application server product directions and interacted with customers worldwide in translating future needs to product plans. Before that he spent 16 years at IBM. He blogs at http://jnandash.ulitzer.com.

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Cloud Expo - Cloud Looms Large on SYS-CON.TV


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Top Stories for Cloud Expo 2012 East

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[June 11-14, 2012]

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There is little doubt that Big Data solutions will have an increasing role in the Enterprise IT mainstream over time. Get a jump on that rapidly evolving trend at Big Data Expo, which we are introducing in June at
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Testimonials
Cloud Expo was a fantastic event for CSS Corp - we easily exceeded our objectives for engaging with clients and prospects."
AHMAR ABBAS
SVP, Global Infrastructure Management, CSS Corp.
 
With our launch at Cloud Expo, we successfully transformed the company from a relatively unknown European player into the dominant player in the market. Our competitors were taken by surprise and just blown away. We got a huge number of really high quality leads..."
PETE MALCOLM
CEO, Abiquo
 
We were extremely pleased with Cloud Expo this year - I’d say it exceeded expectations all around. This is the same info we got from partners who attended as well. Nice job!"
MARY BASS
Director of Marketing, UnivaUD
 
Cloud Expo helps focus the debate on the critical issues at hand in effect connecting main street with the next frontier."

GREG O’CONNOR
President & CEO, Appzero


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Welcome to the fourth era of digital. The first three periods or ages or phases — call them what you like — were each defined clearly by transformative events. First, the dawn of the personal computer age in April 1977 with the debut of the Apple II (and validated in August 1981 with the introduction of the IBM PC). Next, the beginning of the Internet age when the Netscape browser was released in 1994, which redefined forever the way we connect. Then, on June 29, 2007 — ushered in again by Steve Jobs and Apple — the mobility era began with the unveiling of the first iPhone, which ushered in a “Mobile First” mindset for the masses.
By now we’ve seen plenty of cost justification on the efficiency of using cloud infrastructure. You can easily Google “Cloud Computing Value” and get a stack of analyst and vendor reports. Or just pop open Amazon’s AWS value calculator and plug in some numbers. There are huge one-time and recurring IT cost savings to be realized by moving on-premise systems to cloud infrastructure. So we get a better deal on compute cost with cloud. That’s something. Now let’s wring value out of one the most expensive and high-risk IT activities: software development and testing.
North Bridge in partnership with GigaOm Research released their 2014 Future of Cloud Computing – 4th Annual Survey Results. As you examine the 124 slides, one thing is obvious that the greatest growth in cloud computing is coming from Software-as-a-Service (SaaS). Market research like this is very important because it provides tangible proof for our anecdotal hypotheses. That said, the report does not extrapolate what is the most interesting facet of SaaS hyper growth—59% in three years—the model for commoditization of business function is market validated.
Anyone who has been involved with security knows there is a balance to providing both security and privacy and performance at the same time. Security is often blamed for performance woes, particularly when cryptography is involved. SSL and TLS have long addressed this balance by leveraging custom-built hardware to enhance the performance of the most taxing components of these protocols: session setup. The "easy" part of securing communications (if one can use easy with respect to cryptography) is bulk encryption. While certainly more taxing on performance than clear text, relative to the more complex and compute intensive process of the handshaking required to set up such sessions, easy is an appropriate term.
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Cloud Expo 2011 Allstar Conference Faculty

S.F.S.
Dell

Singer
NRO

Pereyra
Oracle

Ryan
OpSource

Butte
PwC

Leone
Oracle

Riley
AWS

Varia
AWS

Lye
Oracle

O'Connor
AppZero

Crandell
RightScale

Nucci
Dell Boomi

Hillier
CiRBA

Morrison
Layer 7 Tech

Robbins
NYT

Schwarz
Oracle

What The Enterprise IT World Says About Cloud Expo
 
"We had extremely positive feedback from both customers and prospects that attended the show and saw live demos of NaviSite's enterprise cloud based services."
  –William Toll
Sr. Director, Marketing & Strategic Alliances
Navisite
 


 
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Chief Scientist
Univa UD
 


 
"Good crowd, good questions. The event looked very successful."
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CTO
Citrix Systems
 


 
"It's the largest cloud computing conference I've ever seen."
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CTO
Brick Group