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Big Data Terms That One Must Know

Data has a huge potential if the right value is derived from it. Big data is the voluminous repository of data which is used to form inferences. It is a relatively new concept.

It is a wide field and encompasses a number of terms in itself. Here we have listed certain terms which are used in tandem with big data that one must know to gain a detailed insight over this subject of study.

  • Algorithm – It refers to a mathematical formula that is generally used to analyze data. It is usually run by a software.
  • Data Lake – Huge source of information in its raw form is known as Data Lake. This information is used to form inferences.
  • Data Mining – The process of delving into available information to derive meaningful insights is known as data mining. Experts use a variety of statistical techniques, machine learning algorithms, sophisticated software’s meant for data analysis to generate significant conclusions.
  • Distributed File System – It is not possible to store large volume of data on a single system as it is complex, costly and infeasible. So, it is generally stored across various storage devices. This mechanism of storing data on multiple devices is known as distributed file system.
  • ETL – It is an acronym which means extract, transform & load. It is a three step process which is used while ingesting information over big data systems in a structured manner. First of all, raw data is extracted, then it is converted into a meaningful form. Finally, it is loaded onto the system for use.
  • Hadoop – It is a programming framework. Hadoop enables storage and processing of huge chunks of data.
  • Data Scientist – They are people who are experts in analyzing data and are well versed with science, statistics, mathematics and other data analysis techniques.
  • Data Cleansing - There might be certain sets of information which are incorrect. Data cleaning is the process of removing incorrect or irrelevant information from the database. This is done to maintain the quality of data as it is further used for analysis.
  • Dark Data – This is that kind of data which is there in the company’s data repository but has never been put to use.
  • NoSQL- It is a database system which means ‘Not Only SQL’. It is designed to handle large volumes of unstructured data without any schema.
  • IoT – Internet of Things is the growing trend these days. Since so many devices are connected to the network, large amount of data is collected through them which can be used for further analysis.

    To know more about big data, contact Centex Technologies at (972) 375 - 9654.

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How Evolving Technology Affects Cybersecurity?

Our world has witnessed a revolution brought by the ever evolving technology. From smartphones, smartwatches and other such equipment, the market today is full of tech- savvy products we could have never even dreamt of. However, with each passing day the reports of increasing cyberattacks is taking over the world by storm. As per a study by Juniper Research, cybercrimes shall cost businesses over $2 trillion by 2019.

Modern technology has not been able to combat cyberattacks completely as such attacks are consistent with the growth of technology. Whenever a new technology is launched to overcome a cyber threat, attackers too come up with a new virus or ransomware to counterfeit it. Here are some ways in which evolving technology affects cybersecurity –

  • IoT – Internet of Things is a prevalent concept that has made its way into our lives. However, it stands the risk of cyberattacks. If the security measures are weak then it may allow hackers to gain access to the entire network. Attackers might hack the software within the device or apps interface. This might impact the functionality of the device.
  • Artificial Intelligence – AI technology being used by numerous businesses working in various sectors today. However, it poses a serious cyber threat. It automates the discovery of critical software bugs. Hackers might use this to attack insecure networks. It can also be used to launch a social engineering attack by using a Facebook style algorithm to lure users to click on a malicious link that might infect their system with virus. 
  • 5G Technology – While we are on the brink of welcoming 5G, cybersecurity is still a question. With increased data speed, hackers will able to regulate malicious activities easily as the number of connected devices is quite high. Data piracy would be a serious issue as cybercriminals will be able to upload online content rapidly.
  • Social Media Breaches – Social media has enabled people to connect with their friends and family residing all across the globe. However, people post even minutest details such as the places they check-in, personal information such as mobile number, address etc. on their social media accounts thus giving hackers a sneak peek into their lives.
  • Mobile Security Breaches – Smartphones are the new cool, but with it there has been a rise in mobile security threats. From mobile phishing, ad and click fraud, dead apps etc. mobile security threats are something that technological growth has brought along.
  • Digital Information – Everything is computerized today and most information is stored on a shared network. Even though it is secured with passwords it is not really difficult for hackers to gain access to valuable business information.
  • Cloud Computing – More & more firms are shifting to cloud as it is a convenient method of saving & storing information. However, they must take stringent precautions to protect the information stored on cloud or else it might be misused by hackers thus leaving the company information vulnerable.


For more information, contact Centex Technologies at (972) 375 - 9654.

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