Learn from the Past, Excel in the Present and Change the Future – Exploring technology and business innovation and the implications for enterprise software implementation by understanding the rapidly changing software, business and technology landscape through summary, comparison, analysis and practical experience.
Big Data is a high-volume, high-velocity and high-variety collection data that is so large and/or complex that traditional database management tools and applications have problems processing the information effectively.
Big Data already improved marketing, strategizing in businesses, data collection tools, data visualization and more.
The idea of “Big Data” is engrained in the marketing world. Most people think of massive volumes of data (petabytes and beyond). But, “Big Data” experiences a paradigm shift and the more recent view sees it as unstructured data sources that need to be structured to perform better and faster analysis.
Business intelligence (BI) includes methods and technologies that are used to convert non-curated raw data into meaningful data for business purposes. One big key words in BI is “Big Data” associated with the hope that managing a huge amounts of data will help classifying information, identifying pattern and discovering emerging business opportunities. Continue reading “Big Data Analytic Trends in Business Intelligence” »
Internet and cloud security and protecting your devices such as desktop PC, mobile phone or the tablets is a continuing matter of concern.
Most account providers have reacted and request a minimum length of passwords with capital letters, numbers and eventually even special characters to increase security.
Because long passwords are more difficult to remember, it is often suggested to create passphrases that easy to recall and strung the words together to form a long password.
For instance, “the sun shines bright” becomes “thesunshinesbright”. Continue reading “What is a secure password?” »
Our daily life is ever more impacted by technological advances including innovations of information technology (IT) and virtual environment in our private life and at work. One of these advances includes the automation of data integration and processing.
The Internet has become vital for the global economy with more than one billion users around the world using it for working and socializing. Wireless technology allows using the Internet anytime and anyplace.
The Internet of Things (IoT), also known as machine-to-machine (M2M), is one of the hot topics in business technology.
Many technology sectors will benefit from the IoT including mobile network operators, fixed broadband providers, cloud service providers, mobile app developers, sensor and wireless infrastructure sellers, and Big Data infrastructure and analytics providers. Continue reading “The Internet of Things – New Possibility for Businesses” »
Each day, the world creates on ocean of 2.500,000,000,000,000,000 bytes (2.5 quintillion) of new data.
Managing this ocean of data is challenging for businesses.
A study form Oracle from July 2012 states that 93% of surveyed executives in Northern America believe that they are losing revenue prospects by not gaining sufficient overview about all available information that they need to understand their business field and market flows.
There is continuous development of software that allows for better collecting, filtering and sorting of information. Improved visualization techniques make the complex data easier to be understood—turning data into information and information into insight—it can offer significant competitive advantages.
Most traditional databases use Relational Database Management Systems (RDBMS) to handle relational data. RDBMS generally work well and it is a mature technology that keeps developing. Using this approach for data management is a good choice, if the data size permits it and the data type is relational.
But what if your data are not relational or you are dealing with a huge amount of data, so called Big Data? What if you are unable to save it in an RDBMS?
Network devices produce high amount of information, so called ‘Big Data’. Most of this information is used for statistical analysis of user behaviors and for getting insight into web site performances.
Network data is also recognized to be of high value for real-time security and defense strategies to create tactical, self-defending networks. One of today’s hottest topics is the potential for Big Data technologies and techniques to help address information security (InfoSec) problems.
Combining virtual infrastructure that modern companies use, Big Data will improve organizations’ capability to react rapidly to cyber threats and to adjust their infrastructure to immediately improve the cybersecurity and defend attacks. Continue reading “Big Data – A Future Strategy for Tactical Security Networking” »
‘Flat files” are described as a plain or mixed texts and binary files with normally only a single record per line or can also be ‘physical’ record a such as a tape or disc.
Flat-file databases (DBs) are very basic types of data storage tools in DB and CMS systems used for creating lists on mobile phones or as storage of a high-scores list in a simple video game. They are ideal for small data amounts that needs to be human readable or edited by hand.
Flat file databases are also used as data transfer tools to remote servers although they get more and more replaced by XML (Extensible Markup Language) files which not only contain but also describe the data. Continue reading “Flat-File Databases – Simple but Limited Database Solutions” »