Do Not Panic I Am Here

If you really had to panic about AI, do not worry they could do less damage what computers had done. The way computers have revolutionized the job industry , AI is just the outer most cream of this computer revolution. History has proven computers have revolutionized most of the work in today’s job market where human dependence have reduced and more of automations and robotics process have been introduced to reduce much of the human intervention and getting more productivity.

If you have adapted to learning computers and using them at your work places and learning how they work well for you in getting your job done easily, in the same way you could also learn AI to make your job well done and that is the crux all about AI. Learning has just got smarter, easier and faster when compared to what you already know.AI is a concept which actually has been around for a very long time since 1950. The only difference it has when compared to the normal computers is that it comes with intelligence to support human thinking at all their daily activities.

Imagine if you could feed all your experience into one system that could immediately give you the result for a new comer and that is revolution in this industry. Therefore it’s a ton of experience or data fed into a computer which is otherwise known as AI.

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Optimize Cloud

Using cloud technology the right way helps individuals and organizations improve their performance and reduce the initial cost for startups or enterprise. There are many cloud service providers today but choosing what is apt for your business is the best foot forward in the way of optimization. Some of the few tips to optimizing cloud.

1.Size does matter when choosing the apt cloud services depending upon your use-case. While you are a startup and do not have much of a data available, getting on to cloud services will make your transition smooth without much of hurdles. Whereas for companies with legacy data, migration of data to cloud needs to be planned and orchestrated.

2.Automating process helps to reduce many manual tasks and improving on efficiency also increase consistency. Doing such things helps to save time and reduce errors. While your services are on cloud, it helps you to identify issues in a centralized manner which helps you to take the right decisions in optimizing performance and reducing cost.

3.Going serverless is another great leap to optimization where you will be able to manage your scalability and high availability during any disaster planning.

4.Many security related hurdles when it comes to data protection, data encryption and access restriction becomes readily deployable while on cloud.

Big Data Truth

The real characteristics of big data is having both structured and un-structured information stored in a distributed storage. Traditional tools and techniques used to store this huge amount of information are very incapable of handling this truth. Also the traditional programming language such as SQL languages could also not be sufficient enough to handle big data and that is why certain special functions like Mapper and Reducer are made to handle big data queries.

There wasn’t any restrictions to write SQL queries on Big Data but the hard truth was all about it’s performance and how fast you wanted your results . The challenge in handling big data is all about handling it’s 3 V’s ( volume, variety , velocity) and the way forward to bring in a system that could handle the 3 V’s is all about implementing a storage which was distributed also a query performer that could work on distributed storage.

Another concern of Big Data is it’s potential misuse of information which can lead to privacy violations and other ethical issues. It was therefore up to the organizations to use it responsibly and ethically. Additionally, individuals must take necessary steps to protect their personal information. Please get in touch and let’s make your Big Data journey meaningful.

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Classify Data

To classify the information you hold, is very important to identify it’s value. Any data that resides within your company or personal that sits around without any classification stays unorganized or scattered. These scattered information can posses high risk of being lost or taken and that is why Data classification is essential to understand its contents and sensitivity. Here are some of the few reasons why one must classify data.

1. Data Security : Sensitive information such as financial information, personal identifiable information or trade secrets can be given level of highest security. In-order to access these information it is very important to have access control or data encryption in place.

2. Compliance : There are many regulations in place today such as GDPR, HIPAA or PCI to help your organizations be in compliance so you remain safe doing your work or business.

3. Efficiency : Data classification enables organizations to identify and prioritize the data that is most critical to their operations. This helps them allocate resources, such as storage, backup, or disaster recovery, more efficiently and effectively.

4.Risk Management : Classification of information is an important tool for assessing and managing risk associated with data. By understanding the sensitivity organizations can identify the potential risk and take measures to mitigate them.

Therefore protect your assets before it leaves without your knowledge. Implementing Microsoft 365 Security is the first foot forward in bringing data under regulations.

Labs Tutorial Coming Soon

Lab exercises for all tech related products and services coming soon under the roof at Learnmystuff with instructions and setup guidelines on how to utilize and built solutions using services of Oracle, Microsoft, Azure, AWS and many more. These lab exercises will be the starting point or a platform built to learn any tech related products or service at on-premise setup or cloud setup.

Seamless Data Integrator

Data Integration has been the key priority among many companies during transformation or scaling of their business activity and because of that integration or integrating Data between systems was a must without which there wasn’t a legacy being continued. Moving Data from one system to the other or migration of their legacy systems to the new system was always a challenge when it comes to communicating between two different platforms or different tech brands. At times when data was transported from one system to the other, Data was sometimes received in excel files or text files and because of which, Data could be manipulated, mismanaged or even lost when moving from one system to the other.

This is where a role of a Data Integrator comes into play where information or Data need not be kept in flat files whereas the Data Integrator can help to establish a seamless connection between your legacy and the new system to help you with Data Integration or Data Transformation jobs. Pentaho is one of the best leads in Data Transformation or Data Integration where those activities are automated with less human intervention. It comes with built in adapters to help you establish connection between multiple systems whether it may be Oracle, Microsoft, Postgres, Mongo…etc. It also doesn’t matter if Data might be present on-premise or cloud, no matter where your Data sits, Pentaho will be a seamless Data Integration to help you transform your Data at a speed never imagined.

Every Data Transformation or Data Integration job must have a workflow maintained to keep a track of the data movement happening during this process. So that at any moment in time when there is a gap or bad data, it must be able to identify those gaps and rectify. This is also where Pentaho will help you to keep track of the Data Integration activity using workflows to help you stop and be informed to improve your Data Integration job by cleaning off bad data.

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Be Disaster Resilient

Disaster management is the preparedness to change and adapt to an un-expected event or change. We all go through a lot of un-certainties and the pains taken to absorb the impact might go a long way in learning new things along the way and also building new pillars for future disaster resilience. Not all disaster comes with a warning. A warning is a known phase with preparedness to a plan-B. We spend considerable amount of time and money getting prepared for plan-B. At the same time we must also consider which is an unplanned disaster management strategy. An un-planned disaster management is your strength and will power to overcome the challenges put across also be resilient to changes in a swift manner.

Although there are many tools that are available to be disaster resilience, major roadblocks still exists in it’s developments and that’s when you will need to prove your strength and resilience to overcome any short term loss. During a disaster management how quick you recover with minor loss of service is considered as best optimum recovery. The frequency at which how often disaster happens must be less. Disaster at your workplace or wherever you live must have a backup plan which is far away from where you are at present. Geographical location must not be any show stopper to move and migrate your plans so that there will be continuity of your services. At any moment in time when given a chance to switch over to a disaster recovery site, one must be able to work as normal with no interruption in services except for geographical changes in time zones.

Our planet earth have been through multiple natural and man made disasters, but yet still it has remained intact in shape and size also resilient to overcome any calamities is yet another example of disaster resilience. So must man made infrastructure and technology be resilient to adapt to new changes and act swiftly when its the time in need for a disaster recovery.

Four Pillars To Sustainability

Sustainability is systematically addressing the present’s needs without compromising future generations’ ability to meet their needs. Sustainability is a philosophy that aims to create and maintain natural and artificial living environments that can be continually sustained without the need for long-term external inputs. The term can also refer to environmental health, social justice, economic development, and human well-being, which comprise sustainability’s four pillars.

Economic sustainability

Economic sustainability is the long-term viability of a product, service, or business. At this point, it’s hard to know the future of economic sustainability. Some predict it will be tough with limited resources and high unemployment rates. Others argue that the digital age will lead to new industries and jobs that we can’t yet foresee. We can’t pinpoint the future of economic sustainability because it largely depends on several factors, including the digital age’s impact on jobs and industries, our ability to sustain our resource usage and encourage sustainability, and emerging technologies that could help reduce the costs of production, transportation, and waste.

Social sustainability

Social sustainability is a buzzword that describes making decisions for the public interest and the common good. It refers to creating policies and practices that benefit those in power and those marginalized by race, class, gender, and other categories. The concept is nearly always tied to the idea of “sustainable development”, a term that has been used since 1974 to describe an approach to growth and change that meets the needs of the present without compromising the ability of future generations to meet their own needs.

Environmental sustainability

As the world population grows and natural resources dwindle, sustainable living development becomes increasingly essential. Sustainability is about having control over our natural resources, recognizing and acting on limits to resource availability, and finding intelligent ways to live without destroying our environment. “Sustaining life on Earth” means keeping the natural systems that support life functioning healthy so that as many species can survive. The sustainability of our economy depends on the sustainability of our environment. For example, Sustainability is about having control over our natural resources, recognizing and acting on limits to resource availability, and finding smart ways to live without destroying our environment.

Human sustainability

Humans can make their own decisions, but what happens when those decisions are bad for the environment?

Evidence has shown that intensive animal agriculture contributes to deforestation, air and water pollution, habitat destruction, and greenhouse gas emissions. The number of products we consume is growing due to the population boom. This means more resources are being used for packaging and transporting products rather than raw materials, leading to increased environmental pressure. Human sustainability means making a conscious effort to live a responsible life. This includes using products and electricity from renewable sources and recycling materials

Learn One Law

Everyone today only needs to master and learn One Law which is the Labor Law and by doing that you are indirectly managing all the other laws that falls suite in today’s digital world. The power of knowing labor laws will automatically harness the benefits of having the laws around your digital world also being safeguarded. Whenever less attention has been paid to labor laws, that’s exactly when your organization shall fall prey to other laws in today’s digital world. There is nothing more challenging in today’s world to manage humans than managing technology. Less attention paid to labor will automatically be a huge responsibility or a threat to your digital world. The biggest threat in today’s digital world is not the threat posed by technology or the weakness around it but the threat of humans acting against the technology. The more you embrace the labor force the less you need to worry about your digital world. This is the law governing everyone today and the moment you master the trade to learn the Labor, consider the rest to be taken care by itself and that is the secret sauce to your digital safety.

Story About Your Data

It is very important  for a business to be Data Driven. Doing this will only help the key stakeholders in making decision’s more meaningful and with confidence. Therefore, in simple words Data Analytics is the process in collecting organization data and to draw meaningful conclusions. These conclusions are driven by very intelligent software algorithms that run deep within your data and bring out insightful information which helps to save money and boost your bottom line.

Download here the Data Analytics Proposal from Learnmystuff

Data Has The New King

The way Data has been represented has changed over the years. The age of Business Intelligence applications and software’s has brought more insight to Data and gives better clarity to the information you own. These intelligent application has a direct impact to your business and other operational decisions. Having said that there are still slacks in many of these BI applications which actually does not still give you everything you need. When people still continue to make assumptions the traditional way while they gather information, time has come where assumptions must stand away from real Facts. Therefore based on the history of Data available, more intelligent algorithms have arrived to bring you 101% guarantee in it’s facts.

Data has a new King to present guaranteed facts, it’s none other than DAX or in other words Data Analysis Expressions. These are the most intelligent algorithms present to date that bring you advanced clarity of information with less human intervention. The more you give time to humans to intervene with data, there could be chances of human errors which is quite normal. but with the introduction of DAX those errors have minimized and tremendous saving on time and cost. DAX plays a major role in bringing better insights to your historical data with less time with it’s inbuilt advanced DAX Measures. This is the new King for Data Analyst and Data Transformations. Let’s get learning DAX here.