iPaaS, App Integration, Data Integration: What Are They and Which One Do You Need?   During the past few years, a lot of things have changed in the world of business as far as digital technologies are concerned. Like out of the blues, enterprises have realized that there are a lot of new technologies being adopted. You almost hear new terms every day in people’s conversations, making confusion inevitable.   Some of the most commonly used terms include data integration, app integration, and iPaaS, among numerous others. At times, you will hear people use some of these terms interchangeably, leading to misinformation or further confusion.   This post aims at making things clear for you.   We will let you know what each of the above terms, and most importantly, help you determine the one your business needs.     Source: Smart Sheet   iPaaS stands for the integration Platform as a Service. They are typically platforms used for standardizing the integration of applications into a company – and in turn, simplifying the process of automating business processes and sharing…

Big data in health institutions Medicine industry is one of the beneficiaries in the evolvement of Big data which have changed how health institution manage, analyze, and collect data useful in decision making. Mainly, analyzed data in the medical field help in solving management issues, reducing the cost of treatment, predicting epidemics, combating preventable diseases, reduce the workload as well as improving the quality of life. Notably,  data collected and stored in the health system facilitate a review of patients personalize treatments, improve treatment methods, enhances better communication between medics,  and reduce discharge time. Importantly, health data analytics will assist the doctors to detect early sign of an illness which will be easily treated and less costly. Therefore, there is a need for health institutions to enroll individuals with personal electronic health records ( EHR), which will facilitate the collection of patients’ health information from different sources. Treatment models driven by data and improved technologies enable the more accessible collection of data, which provides insight in offering better health care to patients. Notably,  data collected can be either quantitative, that…

How does social media analytics aid an organization? Give an example of a social media data stream and the type of insight that might be drawn from it. Social media analytics collects data from social party lines and analyzes them, thus making the content useful for business. The tool for media analytics is to make the business grow and to evaluate the impacts of marketing campaigns (Fan & Gordon, 2014). It helps the company build a better strategy by providing a platform for better decision making. It creates brand awareness and improves customer satisfaction. An example of social media analytics; helping an organization to understand the audience that they target. A website from the American gaming services and their media streaming used social media analytics to evaluate and analyze a part of its audience to understand the type of video games that they are interested in, to offer insights, and to support their customer’s ad. Do you believe sending targeted advertising information to a computer using cookies is objectionable? Why or why not? Yes. I see using cookies is objectionable…

KEY-VALUE DATABASE DATA MODELLING Abstract One of the great benefits reaped from the emerging technologies are their ability to work perfectly as expected by the users. Initially, the technologies could operate as expected but to some extends. When relational databases first emerged, they appeared to be the best database models until such a moment when they have been challenged by the NoSQL databases. NoSQL database models are grouped into Key-value models, Document based models, column based models and graph based models. Among the four, Key value model is considered to be the superior because of the many benefits compared to the rest. This paper has majored on the key value modelling.  The starts by a systemic scrutiny of data modelling as a concept on its own, outlines how this process is achieved in databases and the two approaches involved for that matter and enlightens on the benefits of data modelling. In the second phase of the paper, it introduces the main subject of the paper, Key value database models. Presents the distinct benefits of this model of NoSQL databases, presents…

Implementation of Intrusion Detection System (IDS) as a Current Technology in Supporting Big Data Analytics (BDA) Overview Big Data Analytics (BDA) is one of the common terms in the current technology world. It encompasses various technological approaches which have been implemented to enhance the fight for enhanced cybersecurity in the industry (Cardenas, Manadhata, & Rajan, 2013). Every organization is dealing with one or various sources of data which must be well organized to ensure easy retrieval and structured security implementation. After collecting data from various security technologies, it is imperative for organizations to analyze this data to ensure that its meaning is enhanced. While BDA is the very promising step which can be used to enhance security, it has to be tailored to specific area or organization since every organization faces different levels of challenges. Various recommendations on major literature reviews point at implementing BDA in the cybersecurity suite. BDA subscribes to all five pillars of information security which includes protection, detection, reaction, documentation, and prevention of malicious actions. One of the most important technologies which false under the BDA…

 Blockchain and Big Data combination that drives extensive business growth The past few years have been eventful for businesses as disruptive technologies have ushered revolutionary changes for them. Blockchain and Big Data are the two such tech trends which have grabbed a great deal of attention. While Big Data has been around for some time, Blockchain is a relatively new concept. The former is changing data management while the latter is transforming the nature of transactions. Even if these technologies seem to be disparate on the surface, their adoption in combination is capable of bringing unmatched results for enterprises of all sizes. In fact, blockchain can change the way that Big Data will be approached by the coming years.   Let’s see how they make an amazing combination that drives extensive business growth.   Big Data Storage Becomes Economical As Big data has to deal with huge data-sets, having the right infrastructure is the challenge that most organizations come across. Additionally, the volume of transactional information that is to be stored within ledgers becomes huge over a period of time.…

Optimize Your Fitness Plan with Your 23andMe DNA test Data In today’s fast-paced world, keeping fit and staying healthy are synonymous. Although there are various things that you can do to stay healthy, most people fail to exercise due to the lack of tangible results. Remember, some expect maximum results for little or no effort. Fortunately, you can use your 23andMe DNA test Data to enhance your regime. The DNA test data will help you understand the fittest workouts and diet for you. So, if you’re looking for the most suitable DNA test, search “Best DNA Test for Fitness & Diet Plans: Which Test Is The Best?”. You’ll get different criteria like the 23andMe DNA test, that can help you ascertain your genetic response to fitness. What is a 23andMe DNA test data? 23andMe DNA test is the best DNA test for health. It’s a Genealogical DNA examination offered by 23andMe, which is a reputed genealogical testing firm. It furnishes you with information about your antecedent family history, gives you ancestry DNA results, and guides you in determining the most…

Data recovery When it comes to the world of computers, data recovery involves the process of retrieving data that has been either formatted, damaged, corrupted, lost, or is inaccessible from files, removable, and secondary storage devices. Recovery is therefore suitable if the file system is subjected to logical damage or storage devices are physically damaged, thus preventing the operating system from mounting them (Hassan,2019). For this case scenario, a disgruntled employee reformatted files. But even after reformatting the data, the traces for the original data in the physical drive have not been deleted entirely.The contents in the original file are still present only that they are in disconnected fragments. This means that they can be recovered if relevant tools are applied to rectify the situation. Purpose and goals The purpose of this plan is to provide a step to step guide on how to conduct a recovery process on a reformatted computer. Its goal is simple; to recover blueprint files using the best third-party tools available in the market.. Software meant for data recovery is employed in restoring or recovering…

Database Design Poor data design and the implementation process could lead to the various challenges faced in the system such as data ambiguity, inconsistency and complications in the data interpretations. Data hacking takes place when the database is weakly designed and where data handling is not programmed. Data that is poorly implemented cannot be used by a different person hence making the processes of references difficult. Handling real-life scenarios such as workplace issues, therefore, calls for proper information handling. Poor data handling has been a trending issue, and people have encountered several examples of poor data design. A poorly designed data is characterized by many schema issues and database problems (Cong, 2016). The schema data organization requires the implementation of the design principles that help reduce the data breaches. According to the report, it is difficult to detect any problem when using databases that are poorly designed. Instead, more issues are developed hence the increased confusion in the system. Therefore, the design of the database should be in line with the management principles and updated regularly to reduce the chances…

Data is a Fingerprint The title of the document is “Data is a Fingerprint: why you aren’t as anonymous as you think online.” The author of the article is Olivia Solon, an American, female technology reporter for the Guardian residing in San Francisco, California. Olivia is a Caucasian white whose career as a journalist was established in the University of London and Oxford. The document was published on July 13, 2018. The document that is based on the newspaper account about technology and scientific issues. The report was obtained from ‘The Guardian’ newspaper on the world issues of development. The article develops ideas based on data privacy and intrusion. It is observed that the Australian government exposes the data that later is re-identified. It is indicated that more than 2.9 million records of medical bills were released (Solon, 2018). Therefore, it is then stated that when the University of Melbourne conducts research and realizes that data has re-identified and revealed the medical history of the patients. It was later revealed through the article that the Australian government attempts to remove…