Directions Hadoop is Moving In

Hadoop is a data system so big it is like a virtual jumbo where your PC is a flea. One of the developers named it after his kid?s toy elephant so there is no complicated acronym to stumble over. The system is actually conceptually simple. It has loads of storage capacity and an unusual way of processing data. It does not wait for big files to report in to its software. Instead, it takes the processing system to the data.

The next question is what to do with Hadoop. Perhaps the question would be better expressed as, what can we do with a wonderful opportunity that we could not do before. Certainly, Hadoop is not for storing videos when your laptop starts complaining. The interfaces are clumsy and Hadoop belongs in the realm of large organisations that have the money. Here are two examples to illustrate the point.

Hadoop in Healthcare

In the U.S., healthcare generates more than 150 gigabytes of data annually. Within this data there are important clues that online training provider DeZyre believes could lead to these solutions:

  • Personalised cancer treatments that relate to how individual genomes cause the disease to mutate uniquely
  • Intelligent online analysis of life signs (blood pressure, heart beat, breathing) in remote children?s hospitals treating multiple victims of catastrophes
  • Mining of patient information from health records, financial status and payroll data to understand how these variables impact on patient health
  • Understanding trends in healthcare claims to empower hospitals and health insurers to increase their competitive advantages.
  • New ways to prevent health insurance fraud by correlating it with claims histories, attorney costs and call centre notes.

Hadoop in Retail

The retail industry also generates a vast amount of data, due to consumer volumes and multiple touch points in the delivery funnel. Skillspeed business trainers report the following emerging trends:

  • Tracing individual consumers along the marketing trail to determine individual patterns for different demographics and understand consumers better.
  • Obtaining access to aggregated consumer feedback regarding advertising campaigns, product launches, competitor tactics and so on.
  • Staying with individual consumers as they move through retail outlets and personalising their experience by delivering contextual messages.
  • Understanding the routes that virtual shoppers follow, and adding handy popups with useful hints and tips to encourage them on.
  • Detecting trends in consumer preferences in order to forecast next season sales and stock up or down accordingly.

Where to From Here?

Big data mining is akin to deep space research in that we are exploring fresh frontiers and discovering new worlds of information. The future is as broad as our imagination.?

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How SOA can help Transformation

Undoubtedly, today’s business leaders face myriad challenges ranging from fierce market competition to increasing market unpredictability. In addition, the modern consumer is more informed and in control of what, where and how they purchase. Couple these challenges with effects of globalization, and you will appreciate that need for business transformation is more of a necessity than a privilege.

As recent business trends show, top companies are characterized by organizational and operational agility. Instead of being shaken by rapid technological changes and aftershocks associated with market changes, they are actually invigorated by these trends. In order to survive in these turbulent times, business leaders are opting to implement corporate transformation initiatives to develop leaner, more agile and productive operations. In line with this, service oriented architecture (SOA) has emerged as an essential IT transformation approach for implementing sustainable business agility.

By definition, service oriented architecture is a set of principles and techniques for developing and designing software in form of business functionalities. SOA allows users to compile together large parts of functionality to create ad hoc service software entirely from the template software. This is why it is preferred by CIOs that are looking to develop business agility. It breaks down business operations into functional components (referred to as services) that can be easily and economically merged and reused in applicable scenarios to meet evolving business needs. This enhances overall efficiency, and improves organizational interconnectivity.

SOA identifies shortcomings of traditional IT transformation approaches that were framed in monolithic and vertical silos all dependent on isolated business units. The current business environment requires that individual business units should be capable of supporting multiple types of users, multiple communication channels and multiple lines of business. In addition, it has to be flexible enough to adapt to changing market needs. In case one is running a global business enterprise, SOA-enabled business transformation can assist in achieving sustainable agility and productivity through a globally integrated IT platform. SOA realizes its IT and business benefits by adopting a design and analyzing methodology when developing services. In this sense a service consists of an independent business unit of functionality that is only available through a defined interface. Services can either be in the form of nano-enterprises or mega-enterprises.

Furthermore, with SOA an organization can adopt a holistic approach to solve a problem. This is because the business has more control over its functions. SOA frees the organization from constraints attributed to having a rigid single use application that is intricately meshed into a fragmented information technology infrastructure. Companies that have adopted service oriented architecture as their IT transformation approach, can easily repurpose, reorganize and rescale services on demand in order to develop new business processes that are adaptable to changes in the business environment. In addition, it enables companies to upgrade and enhance their existing systems without incurring huge costs associated with ‘rip and replace’ IT projects.

In summary, SOA can be termed as the cornerstone of modern IT transformation initiatives. If properly implemented great benefits and a sharp competitive advantage can be achieved. SOA assists in transforming existing disparate and unconnected processes and applications into reusable services; creating an avenue where services can be rapidly reassembled and developed to support market changes.

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2015 ESOS Guidelines Chapter 2 – Deadlines and Status Changes

The ESOS process is deadline driven and meeting key dates is a non-negotiable. The penalties for not complying / providing false or misleading information are ?50,000 each. Simply not maintaining adequate records could cost you ?5,000. The carrot on the end of the stick is the financial benefits you stand to gain.

Qualifying for inclusion under the ESOS umbrella depends on the status of your company in terms of employee numbers, turnover and balance sheet on 31 December 2014. Regardless of whether you meet the 2014 threshold or not, you must reconsider your situation on 31 December 2018, 2022 and 2026.

Compliance Period Qualification Date Compliance Period Compliance Date
1 31 December 2014 From 17 July 2014* to 5 December 2015 5 December 2015
2 31 December 2018 From 6 December 2015 to 5 December 2019 5 December 2019
3 31 December 2022 From 6 December 2019 to 5 December 2023 5 December 2023
4 31 December 2026 From 6 December 2023 to 5 December 2027 5 December 2027

Notes:

1. The first compliance period begins on the date the regulations became effective

2. Energy audits from 6 December 2011 onward may go towards the first compliance report

Changes in Organisation Status

If your organisation status changes after a qualification date when you met compliance thresholds, you are still bound to complete your ESOS assessment for that compliance period. This is regardless of any change in size or structure. Your qualification status then remains in force until the next qualification date when you must reconsider it.

Data Leakage Prevention – Protecting Sensitive Information

When DuPont lost $400 million in intellectual property, it wasn’t because a hacker from the other side of the world infiltrated their system. The information was simply stolen by a former employee. Alarmingly, data loss incidents are not always caused by deliberate actions.

A file containing personal information accidentally attached to an email and sent to multiple recipients; financial data stored in a USB pen drive, accidentally left in a restaurant; or bank account data of colleagues, inadvertently posted on a company website – these are also some of the everyday causes of data loss.

A report done by research company Infowatch regarding global data leaks in 2010 showed that there were actually more accidental data leaks in that year compared to intentional ones. Accidental leaks comprised 53%, while intentional leaks comprised 42% (the rest were unidentified).

But even if they ?only? happened accidentally, breach incidents like these can still be very costly. The tens of thousands of dollars that you could sometimes end up paying in civil penalties (as in the case when you lose other people?s personal information) can just be the beginning. More costly than this is the loss of customer and investor confidence. Once you lose those, you could consequently lose a considerable portion of your business.

Confidential information that may already be leaking out right under your nose

With all the data you collect, process, exchange, and store electronically every day, your IT system has surely now become a storehouse of sensitive information. Some of them, you may be even taking for granted.

But imagine what would happen if any of the following trade secrets fell into the wrong hands: marketing plans, confidential customer information, pricing data, product development strategies, business plans, supplier information, source codes, and employee salaries.

These are not the only kind of data that you should be worried about. You could also get into trouble if your sloppy IT security fails to protect employee or client personal information such as their names; social security numbers; drivers license numbers; or bank account numbers and credit/debit card numbers along with their corresponding PINs.

In some countries, you could face onerous data breach notification requirements and heavy fines when these kind of data are involved.

There are now more holes to plug

It’s not just the different varieties of sensitive electronic information that you have to worry about. Because these data can take on different forms, i.e. data-at-rest, data-in-motion, and data-at-the-endpoints, you also need to take aim at different areas in your IT system.

Sensitive information can be found ?at rest? in each of your employees? hard disks, in your servers, storage disks, and in off-site backup disks. They can also be found ?in motion? in email, instant messaging, social networking messaging, P2P file sharing, ftp, http, and so on.

That’s not all. Your highly mobile workforce may have already introduced yet another high-risk area into your system: data-at-the-endpoints. This includes USB flash-disks, laptops, portable hard disks, CDs, and even smartphones.

The main challenge of data leak prevention

Having been made aware of the various aspects of data leakage, have you already come to grips with the extent of the task at hand?

There are two major things you need to do here to prevent data leakage.

One, you need to identify what data you have that can be considered as sensitive/confidential information. Of course you have financial information and employee salaries in your files. But do you also store personally identifiable information? Do you have trade secrets that are stored in electronic form?

Two, you need to pinpoint their locations. Are they only on your hard disks and laptops? Or have they made their way to flash drives, CDs/DVDs, or portable HDDs? Are they being transmitted through email or any other file transfer media?

The reason why you need to know what your sensitive data are as well as where they are is because you would like all efforts of securing them to be as efficient and unobtrusive as possible.

Let’s say, as a way of protecting your data, you decide to implement encryption. Since encryption can consume a lot of storage space and significantly reduce performance, it may be impractical to encrypt your entire database or all your files. For the same reason, you wouldn’t want to encrypt every single email that you send.

Thus, the best way would be to encrypt only the data that really need encryption. But again, you need to know what data needs to be encrypted and where those data can be found. That alone is no simple task.

Not only will you need to deal with the data you already have, you will also have to worry about the data that will go through your systems during the course of your day-to-day transactions.

Identifying sensitive data as it enters or leaves your system, goes through your network, or gets stored in your file system or database, and then applying the necessary security actions should be done automatically and intelligently. Otherwise, you could end up spending on a lot of man-hours or, worse, wasting them on a lot of false positives and negatives.

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