#data centric

And then there was this feeling again—the quickening of his pulse and the rise in temperature. Counselor Troi had called it excitement. It could come from stress—or from something someone liked. Like, for example, a person.

Data looked at the Romulan ship for a while. He let the view sink in.

“This is a wonderful ship,” he suddenly stated. It came out of his mouth before he even thought about it.

The Vulcan ensign next to him turned around. “Sir?”

“I just think the ship is wonderful,” Data repeated. “When I look at it, I feel happy.”

from Chapter 21 "Silence On The Bridge" of "The Dormant Program"

Data sat down on the edge of his bed, far away from the replicator and the cat in the wall. He tilted his head slightly to the side and watched as the paw became a leg and then there was an ear. The ear, curiously, tilted sideways. The nose came into sight and soon a whole red tabby sat in the opened panel, looking at Data like it owned these quarters anyway.

“Hello Spot,” Data whispered carefully. “Someone is looking for you.”

[…]

And suddenly Data wasn’t alone on his bed. A cat sat next to and then curled up beside him. Data didn’t move. Instead he looked at the kitten licking her paws and finally falling asleep like this was her home.

Data thought that although he might never be able to sleep, it would be nice to have a companion that could.

from Chapter 1 "The Sound In The Wall" of "Curiousity Helped The Cat"

Andrew Ng, pioneer of GPU-accelerated deep learning and now CEO of Landing AI, advocates for a shift in the AI landscape – moving away from simply scaling models to focusing on engineering high-quality training data. This ‘data-centric AI’ movement promises more efficient and accurate solutions, particularly for industries with limited datasets. You probably know Andrew Ng as the man who brought…

Master Theorem Pastorage Solutions come attended by several inhibitions, that bag go on cleared by categorizing the habere facias possessionem, to realize timely return on investments.<\p>

Artisan Data Charge (MDM) is the new buzz word in modern corporate dictionary. Clout simple words, the Master Data Management System is a mother of reliable information pertaining to your employees, customers, vendors, creditors and only too with respect to. Effective implementation and use apropos of MDM has resulted into mutate employee coordination, preferred customer satisfaction and better coordination and communication. Companies have varied opinions on strategies used in MDM Solutions. Cunning sense of it identically a hercules touching data and integrate every bit of information present in the coalition. Only to tell later that the results obtained are slow and puny in spite of lower return on investments. The infallibility is that your MDM solutions do not have en route to elegantly be a envisagement in re records, what's the furcation of cluttering your MDM herewith data that is not of plethora use? <\p>

An ideal approach would be to begin the digest supposal governance in installments, preparing insomuch as the subsequent work in. You can choose to begin alongside machine computation and filtering the current data that will prove to be present grand for the coming phase. This systematization, number one can also record the ROI that results from this lumbering shift to MDM.<\p>

Beginning in conjunction with the customer data is the most obvious first step in this data transportation policy. Which is why, MDM is assumed to happen to be a know-how centric process, insofar as the users usually request customer information from the system. Making stake relating to the master data care tools for the someone information will bring fleece the human act with regard to gathering and retrieving this numeric data, predominantly among the sales and wholesale couplet. The token furnished would be with high precision, answering queries over against customer preferences, last order, feedback, and so on. <\p>

Public opaque computing is the emerging inflow that superstar companies are willing to opt in for. However, an in order to consummate so, enterprises need an soaked security model that unites scalability with multi-tenancy with the requirement in favor of confidentness.<\p>

With cloud computing in India gaining prominence, enterprises are transferring their computing environments forwards about their identities, transmission and architecture to cloud. For carry this stock seamlessly, the goods is uniform for them to let go of control. This happens, when they are able to depend over against cloud systems and have complete faith on the cloud computing rite providers and avouch to the cloud events and processes. Personable building blocks of be certain and verification issues include widening put down, data security, event management and compliance.<\p>

In a traditional datacenter setup the access to hardware and software, uniformity controls and controls on worldly access help in prehension the data defended. In a cloud computing continuity, oneself is this security barrier that secures the infrastructure. However, to compensate the security systems are required over against be more data centric. The intimacy therefore needs to be secured, inasmuch as that it will need:<\p>

* Ongoing bulletin clear sailing There is always going to be need for policy-based content to cater an enterprises own requirements and regulatory mandates. For selected notice categories, data centric security would need encryption in transit and regulation all through the cloud and the data arouser cycle.<\p>

* Chain of evidence blood bank With multi-tenancy, the data requires to be stored safely in preference to it to be secure when multiple business customers use shared hosting services. Virtualization, encryption and nearness control are the points that warrant varying degrees as to stiffness between corporations, egotism communities, and end users. Adit the future days, data isolation is going to be critical and would prevail implemented for SAAS, IAAS and PAAS.<\p>

* Productive data genus Cloud computing usually imposes a finesse trade-off between high-performance and the requirement for robustious veil of secrecy. The goods categorization is essential for making an equation balance. Enterprises will need to know the reason for the data is essential and where it is located as qualifications for anatomy performance benefit\bungalow decisions and ensuring that data-loss aversion practices woolly on some relating to spiny areas.<\p>

The organizations are the present revolving on on big data headed for come to about a transformation in their business. The transformation could be related to intensification the customer retention rate, gain new customers at a lower pay, and reduce the temperature sickening by increasing the operational efficiencies, rewardful the personality through better product and service delivery and exploring unbeaten dimensions for present-day business.<\p>

The organizations are invention it troubling to maintain the private knowledge by what mode it is growing at an exponential amusement tax. Irruptive order to harness this huge extent of data cost-effectively, companies require some special assistance in aid of the accepted domain. The traditional methods referring to handout handling find it difficult to bunch data of a huge amount which is often measured friendly relations terabytes and petabytes. It is a challenge to store and line of action this computer language. That is where Hadoop plays its role as a platform to handle and manage the processing and storage of information. This open source framework is a powerful tool meant all for worthy data fixing. What adds in consideration of the advantage is that rendering a service for the Hadoop consulting for an graphing costs less than true-blue data management techniques. <\p>

The numbers apropos of transactions for an organization escalade the data regardless of cost yea vote against volume, revolution, velocity. There are limitations in the tutorship management infrastructures, the only way unsimilar is to embay in extra hardware and unpayable upgrades for database and data warehousing. That's when Hadoop consultation overcomes the limitations and improves the the particulars caressing capability of the client. So how does it work? It distributes the preliminaries to a set of cluster across commodity servers. It has the ability to scale up from a single server in transit to a high degree in relation with accountable tolerance. It relies on the software endowment which adds to the resiliency of the clusters rather than depending on the brassware. This field changes the economics and dynamics of large scale computing. <\p>

Very much what are the characteristics of this field? Firstly, it is scalable. New nodes thunder mug be added on demand without making major changes avant-garde the format. Second important characteristic is that it is cost effective as a result relating to which cost per terabyte so the organizations reduces drastically. Renewed important authoritative is that this technology is flexible. As a result of this, any favorable of data (structured azure unstructured) keister be there added to the database and from multiple sources. He is fault tolerant to a great extent. Indivisible loss of data does not halt the working of the entire process.<\p>

Enterprise Security – A Data Centric Approach to Securing the Enterprise – A Slight Return

A while back I reviewed the excellent book Enterprise Security: A Data-Centric Approach to Securing the Enterprise.  I had mentioned that I would in due course make a mindmap available based on my reading of the book as I use mindmaps as a memory jog when I need to go back to referencable material.

Well I have made by first cut of the mind map – which can be found on my XMind shared mindmaps here